TY  - JOUR
AU  - Miljković, Ana
AU  - Aćimović, Milica
AU  - Božanić Tanjga, Biljana
AU  - Lončar, Biljana
AU  - Raičević, Vidak
AU  - Šovljanski, Olja
AU  - Travičić, Vanja
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2024
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13030
AB  - The purpose of this systematic overview is to establish the impact of inhalation and topical application of Rosa damascena essential oil in aromatherapy practice. A bibliometric analysis using the different scientific databases was conducted to examine scientific documents related to “rose aromatherapy” and “Rosa damascena aromatherapy”. Microsoft Excel and VOSviewer software were used to extract and visualize information. Founded on a review of 93 papers, the scent of rose essential oil has applications in aromatherapy for reducing anxiety, alleviating pain, improving sleep quality, as well as alleviating physiological symptoms during menopause and PMS. It aids in mitigating stress and reducing stress and reducing depression and fatigue, for relaxation and improving cognitive function, among other benefits. Ultimately, rose essential oil is safe and suitable for self-administration via inhalation or topical application, either alone or with other essential oils.
T2  - Journal of Agronomy, Technology and Engineering Management (JATEM)
T1  - Inhalation and Topical Application of Rose Essential Oil – A Systematic Overview of Rosa damascena Aromatherapy
VL  - 7
IS  - 1
SP  - 998
EP  - 1020
DO  - 10.55817/ASIJ6404
ER  - 

@article{
author = "Miljković, Ana and Aćimović, Milica and Božanić Tanjga, Biljana and Lončar, Biljana and Raičević, Vidak and Šovljanski, Olja and Travičić, Vanja and Pezo, Milada and Pezo, Lato",
year = "2024",
abstract = "The purpose of this systematic overview is to establish the impact of inhalation and topical application of Rosa damascena essential oil in aromatherapy practice. A bibliometric analysis using the different scientific databases was conducted to examine scientific documents related to “rose aromatherapy” and “Rosa damascena aromatherapy”. Microsoft Excel and VOSviewer software were used to extract and visualize information. Founded on a review of 93 papers, the scent of rose essential oil has applications in aromatherapy for reducing anxiety, alleviating pain, improving sleep quality, as well as alleviating physiological symptoms during menopause and PMS. It aids in mitigating stress and reducing stress and reducing depression and fatigue, for relaxation and improving cognitive function, among other benefits. Ultimately, rose essential oil is safe and suitable for self-administration via inhalation or topical application, either alone or with other essential oils.",
journal = "Journal of Agronomy, Technology and Engineering Management (JATEM)",
title = "Inhalation and Topical Application of Rose Essential Oil – A Systematic Overview of Rosa damascena Aromatherapy",
volume = "7",
number = "1",
pages = "998-1020",
doi = "10.55817/ASIJ6404"
}

Miljković, A., Aćimović, M., Božanić Tanjga, B., Lončar, B., Raičević, V., Šovljanski, O., Travičić, V., Pezo, M.,& Pezo, L.. (2024). Inhalation and Topical Application of Rose Essential Oil – A Systematic Overview of Rosa damascena Aromatherapy. in Journal of Agronomy, Technology and Engineering Management (JATEM), 7(1), 998-1020.
https://doi.org/10.55817/ASIJ6404

Miljković A, Aćimović M, Božanić Tanjga B, Lončar B, Raičević V, Šovljanski O, Travičić V, Pezo M, Pezo L. Inhalation and Topical Application of Rose Essential Oil – A Systematic Overview of Rosa damascena Aromatherapy. in Journal of Agronomy, Technology and Engineering Management (JATEM). 2024;7(1):998-1020.
doi:10.55817/ASIJ6404 .

Miljković, Ana, Aćimović, Milica, Božanić Tanjga, Biljana, Lončar, Biljana, Raičević, Vidak, Šovljanski, Olja, Travičić, Vanja, Pezo, Milada, Pezo, Lato, "Inhalation and Topical Application of Rose Essential Oil – A Systematic Overview of Rosa damascena Aromatherapy" in Journal of Agronomy, Technology and Engineering Management (JATEM), 7, no. 1 (2024):998-1020,
https://doi.org/10.55817/ASIJ6404 . .

Lončar, B., Pezo, L., Filipović, V., Nićetin, M., Filipović, J., Pezo, M., Šuput, D.,& Aćimović, M.. (2024). Speltini mafini sa brašnom jabuke obogaćeni melasom šećerne repe. 
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet..
https://hdl.handle.net/21.15107/rcub_vinar_13011

Lončar B, Pezo L, Filipović V, Nićetin M, Filipović J, Pezo M, Šuput D, Aćimović M. Speltini mafini sa brašnom jabuke obogaćeni melasom šećerne repe. 2024;.
https://hdl.handle.net/21.15107/rcub_vinar_13011 .

Lončar, Biljana, Pezo, Lato, Filipović, Vladimir, Nićetin, Milica, Filipović, Jelena, Pezo, Milada, Šuput, Danijela, Aćimović, Milica, "Speltini mafini sa brašnom jabuke obogaćeni melasom šećerne repe" (2024),
https://hdl.handle.net/21.15107/rcub_vinar_13011 .

TY  - JOUR
AU  - Mališić, Vanja
AU  - Pezo, Milada
AU  - Jelić, Aleksandra
AU  - Patarić, Aleksandra
AU  - Putić, Slaviša
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12281
AB  - Poly(methyl methacrylate) (PMMA) has a broad spectrum of uses, especially in medical applications. The role of fine-grained alumina particles of PMMA composites was investigated in this study. The composites were based on PMMA modified with dimethyl itaconate (DMI) as a matrix and alumina particles (Al2O3) and alumina doped with iron (Al2O3-Fe) modified with 3-aminopropyl-trimethoxysilane (AM) and flax oil fatty acid methyl esters (biodiesel) as reinforcements. Three particle sizes were measured (~0.4, ~0.6 and ~1.2 μm). The highest thermal conductivity values were measured for the composite 5 wt.% Al2O3-Fe-AM. With the addition of 3 wt.% Al2O3-AM to the PMMA/DMI matrix, mechanical properties were improved (tensile strength, strain, and modulus of elasticity). An artificial neural network model based on the Broyden-Fletcher-Goldfarb-Shanno iterative algorithm was investigated for prediction of thermal conductivity and mechanical properties of the composites showing satisfactory results. This is relevant for applications for optimization of dental materials to produce dentures, which were exposed to variations in temperature during the application.
AB  - Poli (metil metakrilata) (PMMA) ima široku upotrebu, posebno u stomatologiji i medicini. Kompoziti su napravljeni od PMMA modifikovanog dimetil itakonatom (DMI) kao matrice. Kao pojačanje korišćene su čestice glinice (Al2O3) i glinice dopirane oksidom gvožđa (Al2O3-Fe) modifikovanim sa 3-aminopropiltrimetoksilanom (AM) i metil estrima masnih kiselina lanenog ulja (biodizel – BD). Prema merenjima toplotne provodljivosti, najveće vrednosti toplotne provodljivosti imao je kompozit sa česticama glinice 5 wt.% Al2O3-Fe-AM. Dodatkom modifikovanih čestica glinice u PMMA/DMI matricu, poboljšane su mehaničke osobine (zatezna čvrstoća, deformacija i modul elastičnosti). Razvijen je model veštačke neuronske mreže zasnovan na iterativnom algoritmu predloženom u literaturi (Broiden-FletcherGoldfarb-Shanno), za predviđanje toplotne provodljivosti i mehaničkih svojstava kompozita na bazi akrilata u kombinaciji sa česticama na bazi glinice, u zavisnosti od masenog udela čestica, i dodatka oksida gvožđa i modifikatora. Pokazano je da ovi matematički modeli mogu predvideti mehanička i termička svojstva kompozitnih materijala. Ovo je posebno relevantno za predviđanje toplotne provodljivosti materijala koji se koriste u stomatologiji za izradu proteza i koji su izloženi temperaturnim promenama tokom primene.
T2  - Hemijska industrija
T1  - Prediction of thermal and mechanical properties of acrylate-based composites using artificial neural network modeling
T1  - Predviđanje termičkih i mehaničkih svojstava kompozita na bazi akrilata korišćenjem modela veštačke neuronske mreže
VL  - 77
IS  - 4
SP  - 293
EP  - 300
DO  - 10.2298/HEMIND230119029M
ER  - 

@article{
author = "Mališić, Vanja and Pezo, Milada and Jelić, Aleksandra and Patarić, Aleksandra and Putić, Slaviša",
year = "2023",
abstract = "Poly(methyl methacrylate) (PMMA) has a broad spectrum of uses, especially in medical applications. The role of fine-grained alumina particles of PMMA composites was investigated in this study. The composites were based on PMMA modified with dimethyl itaconate (DMI) as a matrix and alumina particles (Al2O3) and alumina doped with iron (Al2O3-Fe) modified with 3-aminopropyl-trimethoxysilane (AM) and flax oil fatty acid methyl esters (biodiesel) as reinforcements. Three particle sizes were measured (~0.4, ~0.6 and ~1.2 μm). The highest thermal conductivity values were measured for the composite 5 wt.% Al2O3-Fe-AM. With the addition of 3 wt.% Al2O3-AM to the PMMA/DMI matrix, mechanical properties were improved (tensile strength, strain, and modulus of elasticity). An artificial neural network model based on the Broyden-Fletcher-Goldfarb-Shanno iterative algorithm was investigated for prediction of thermal conductivity and mechanical properties of the composites showing satisfactory results. This is relevant for applications for optimization of dental materials to produce dentures, which were exposed to variations in temperature during the application., Poli (metil metakrilata) (PMMA) ima široku upotrebu, posebno u stomatologiji i medicini. Kompoziti su napravljeni od PMMA modifikovanog dimetil itakonatom (DMI) kao matrice. Kao pojačanje korišćene su čestice glinice (Al2O3) i glinice dopirane oksidom gvožđa (Al2O3-Fe) modifikovanim sa 3-aminopropiltrimetoksilanom (AM) i metil estrima masnih kiselina lanenog ulja (biodizel – BD). Prema merenjima toplotne provodljivosti, najveće vrednosti toplotne provodljivosti imao je kompozit sa česticama glinice 5 wt.% Al2O3-Fe-AM. Dodatkom modifikovanih čestica glinice u PMMA/DMI matricu, poboljšane su mehaničke osobine (zatezna čvrstoća, deformacija i modul elastičnosti). Razvijen je model veštačke neuronske mreže zasnovan na iterativnom algoritmu predloženom u literaturi (Broiden-FletcherGoldfarb-Shanno), za predviđanje toplotne provodljivosti i mehaničkih svojstava kompozita na bazi akrilata u kombinaciji sa česticama na bazi glinice, u zavisnosti od masenog udela čestica, i dodatka oksida gvožđa i modifikatora. Pokazano je da ovi matematički modeli mogu predvideti mehanička i termička svojstva kompozitnih materijala. Ovo je posebno relevantno za predviđanje toplotne provodljivosti materijala koji se koriste u stomatologiji za izradu proteza i koji su izloženi temperaturnim promenama tokom primene.",
journal = "Hemijska industrija",
title = "Prediction of thermal and mechanical properties of acrylate-based composites using artificial neural network modeling, Predviđanje termičkih i mehaničkih svojstava kompozita na bazi akrilata korišćenjem modela veštačke neuronske mreže",
volume = "77",
number = "4",
pages = "293-300",
doi = "10.2298/HEMIND230119029M"
}

Mališić, V., Pezo, M., Jelić, A., Patarić, A.,& Putić, S.. (2023). Prediction of thermal and mechanical properties of acrylate-based composites using artificial neural network modeling. in Hemijska industrija, 77(4), 293-300.
https://doi.org/10.2298/HEMIND230119029M

Mališić V, Pezo M, Jelić A, Patarić A, Putić S. Prediction of thermal and mechanical properties of acrylate-based composites using artificial neural network modeling. in Hemijska industrija. 2023;77(4):293-300.
doi:10.2298/HEMIND230119029M .

Mališić, Vanja, Pezo, Milada, Jelić, Aleksandra, Patarić, Aleksandra, Putić, Slaviša, "Prediction of thermal and mechanical properties of acrylate-based composites using artificial neural network modeling" in Hemijska industrija, 77, no. 4 (2023):293-300,
https://doi.org/10.2298/HEMIND230119029M . .

TY  - JOUR
AU  - Pavlović, Marko
AU  - Lubura, Jelena
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Bera, Oskar
AU  - Kojić, Predrag
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11220
AB  - The purpose of the study was to identify and predict the optimized parameters for phosphoric acid production. This involved modeling the crystal reactor, UCEGO filter (as a detailed model of the filter is not available in Aspen Plus or other simulation software), and acid separator using Sci-Lab to develop Cape-Open models. The simulation was conducted using Aspen Plus and involved analyzing 10 different phosphates with varying qualities and fractions of P2O5 and other minerals. After a successful simulation, a sensitivity analysis was conducted by varying parameters such as capacity, filter speed, vacuum, particle size, water temperature for washing the filtration cake, flow of recycled acid and strong acid from the separator below the filter, flow of slurry to reactor 1, temperature in reactors, and flow of H2SO4, resulting in nearly one million combinations. To create an algorithm for predicting process parameters and the maximal extent of recovering H3PO4 from slurry, ANN models were developed with a determination coefficient of 99%. Multi-objective optimization was then performed using a genetic algorithm to find the most suitable parameters that would lead to a higher reaction degree (96–97%) and quantity of separated H3PO4 and lower losses of gypsum. The results indicated that it is possible to predict the influence of process parameters on the quality of produced acid and minimize losses during production. The developed model was confirmed to be viable when compared to results found in the literature.
T2  - Processes
T1  - A Novel Hybrid Approach for Modeling and Optimisation of Phosphoric Acid Production through the Integration of AspenTech, SciLab Unit Operation, Artificial Neural Networks and Genetic Algorithm
VL  - 11
IS  - 6
SP  - 1753
DO  - 10.3390/pr11061753
ER  - 

@article{
author = "Pavlović, Marko and Lubura, Jelena and Pezo, Lato and Pezo, Milada and Bera, Oskar and Kojić, Predrag",
year = "2023",
abstract = "The purpose of the study was to identify and predict the optimized parameters for phosphoric acid production. This involved modeling the crystal reactor, UCEGO filter (as a detailed model of the filter is not available in Aspen Plus or other simulation software), and acid separator using Sci-Lab to develop Cape-Open models. The simulation was conducted using Aspen Plus and involved analyzing 10 different phosphates with varying qualities and fractions of P2O5 and other minerals. After a successful simulation, a sensitivity analysis was conducted by varying parameters such as capacity, filter speed, vacuum, particle size, water temperature for washing the filtration cake, flow of recycled acid and strong acid from the separator below the filter, flow of slurry to reactor 1, temperature in reactors, and flow of H2SO4, resulting in nearly one million combinations. To create an algorithm for predicting process parameters and the maximal extent of recovering H3PO4 from slurry, ANN models were developed with a determination coefficient of 99%. Multi-objective optimization was then performed using a genetic algorithm to find the most suitable parameters that would lead to a higher reaction degree (96–97%) and quantity of separated H3PO4 and lower losses of gypsum. The results indicated that it is possible to predict the influence of process parameters on the quality of produced acid and minimize losses during production. The developed model was confirmed to be viable when compared to results found in the literature.",
journal = "Processes",
title = "A Novel Hybrid Approach for Modeling and Optimisation of Phosphoric Acid Production through the Integration of AspenTech, SciLab Unit Operation, Artificial Neural Networks and Genetic Algorithm",
volume = "11",
number = "6",
pages = "1753",
doi = "10.3390/pr11061753"
}

Pavlović, M., Lubura, J., Pezo, L., Pezo, M., Bera, O.,& Kojić, P.. (2023). A Novel Hybrid Approach for Modeling and Optimisation of Phosphoric Acid Production through the Integration of AspenTech, SciLab Unit Operation, Artificial Neural Networks and Genetic Algorithm. in Processes, 11(6), 1753.
https://doi.org/10.3390/pr11061753

Pavlović M, Lubura J, Pezo L, Pezo M, Bera O, Kojić P. A Novel Hybrid Approach for Modeling and Optimisation of Phosphoric Acid Production through the Integration of AspenTech, SciLab Unit Operation, Artificial Neural Networks and Genetic Algorithm. in Processes. 2023;11(6):1753.
doi:10.3390/pr11061753 .

Pavlović, Marko, Lubura, Jelena, Pezo, Lato, Pezo, Milada, Bera, Oskar, Kojić, Predrag, "A Novel Hybrid Approach for Modeling and Optimisation of Phosphoric Acid Production through the Integration of AspenTech, SciLab Unit Operation, Artificial Neural Networks and Genetic Algorithm" in Processes, 11, no. 6 (2023):1753,
https://doi.org/10.3390/pr11061753 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11103
AB  - The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.
T2  - Science of Sintering
T1  - Application of artificial neural networks in performance prediction of cement mortars with various mineral additives
VL  - 55
IS  - 1
SP  - 11
EP  - 27
DO  - 10.2298/SOS2301011T
ER  - 

@article{
author = "Terzić, Anja and Pezo, Milada and Pezo, Lato",
year = "2023",
abstract = "The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.",
journal = "Science of Sintering",
title = "Application of artificial neural networks in performance prediction of cement mortars with various mineral additives",
volume = "55",
number = "1",
pages = "11-27",
doi = "10.2298/SOS2301011T"
}

Terzić, A., Pezo, M.,& Pezo, L.. (2023). Application of artificial neural networks in performance prediction of cement mortars with various mineral additives. in Science of Sintering, 55(1), 11-27.
https://doi.org/10.2298/SOS2301011T

Terzić A, Pezo M, Pezo L. Application of artificial neural networks in performance prediction of cement mortars with various mineral additives. in Science of Sintering. 2023;55(1):11-27.
doi:10.2298/SOS2301011T .

Terzić, Anja, Pezo, Milada, Pezo, Lato, "Application of artificial neural networks in performance prediction of cement mortars with various mineral additives" in Science of Sintering, 55, no. 1 (2023):11-27,
https://doi.org/10.2298/SOS2301011T . .

TY  - JOUR
AU  - Gatarić, Dragan
AU  - Ruškić, Nenad
AU  - Aleksić, Branko
AU  - Đurić, Tihomir
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Pezo, Milada L.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11078
AB  - Road traffic accidents are a significant public health issue, accounting for almost 1.3 million deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of subjective and objective factors contribute to the occurrence of traffic accidents, making it difficult to predict and prevent them on new road sections. Artificial neural networks (ANN) have demonstrated their effectiveness in predicting traffic accidents using limited data sets. This study presents two ANN models to predict traffic accidents on common roads in the Republic of Serbia and the Republic of Srpska (Bosnia and Herzegovina) using objective factors that can be easily determined, such as road length, terrain type, road width, average daily traffic volume, and speed limit. The models predict the number of traffic accidents, as well as the severity of their consequences, including fatalities, injuries and property damage. The developed optimal neural network models showed good generalization capabilities for the collected data foresee, and could be used to accurately predict the observed outputs, based on the input parameters. The highest values of r2 for developed models ANN1 and ANN2 were 0.986, 0.988, and 0.977, and 0.990, 0.969, and 0.990, accordingly, for training, testing and validation cycles. Identifying the most influential factors can assist in improving road safety and reducing the number of accidents. Overall, this research highlights the potential of ANN in predicting traffic accidents and supporting decision-making in transportation planning.
T2  - Algorithms
T1  - Predicting Road Traffic Accidents—Artificial Neural Network Approach
VL  - 16
IS  - 5
SP  - 257
DO  - 10.3390/a16050257
ER  - 

@article{
author = "Gatarić, Dragan and Ruškić, Nenad and Aleksić, Branko and Đurić, Tihomir and Pezo, Lato and Lončar, Biljana and Pezo, Milada L.",
year = "2023",
abstract = "Road traffic accidents are a significant public health issue, accounting for almost 1.3 million deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of subjective and objective factors contribute to the occurrence of traffic accidents, making it difficult to predict and prevent them on new road sections. Artificial neural networks (ANN) have demonstrated their effectiveness in predicting traffic accidents using limited data sets. This study presents two ANN models to predict traffic accidents on common roads in the Republic of Serbia and the Republic of Srpska (Bosnia and Herzegovina) using objective factors that can be easily determined, such as road length, terrain type, road width, average daily traffic volume, and speed limit. The models predict the number of traffic accidents, as well as the severity of their consequences, including fatalities, injuries and property damage. The developed optimal neural network models showed good generalization capabilities for the collected data foresee, and could be used to accurately predict the observed outputs, based on the input parameters. The highest values of r2 for developed models ANN1 and ANN2 were 0.986, 0.988, and 0.977, and 0.990, 0.969, and 0.990, accordingly, for training, testing and validation cycles. Identifying the most influential factors can assist in improving road safety and reducing the number of accidents. Overall, this research highlights the potential of ANN in predicting traffic accidents and supporting decision-making in transportation planning.",
journal = "Algorithms",
title = "Predicting Road Traffic Accidents—Artificial Neural Network Approach",
volume = "16",
number = "5",
pages = "257",
doi = "10.3390/a16050257"
}

Gatarić, D., Ruškić, N., Aleksić, B., Đurić, T., Pezo, L., Lončar, B.,& Pezo, M. L.. (2023). Predicting Road Traffic Accidents—Artificial Neural Network Approach. in Algorithms, 16(5), 257.
https://doi.org/10.3390/a16050257

Gatarić D, Ruškić N, Aleksić B, Đurić T, Pezo L, Lončar B, Pezo ML. Predicting Road Traffic Accidents—Artificial Neural Network Approach. in Algorithms. 2023;16(5):257.
doi:10.3390/a16050257 .

Gatarić, Dragan, Ruškić, Nenad, Aleksić, Branko, Đurić, Tihomir, Pezo, Lato, Lončar, Biljana, Pezo, Milada L., "Predicting Road Traffic Accidents—Artificial Neural Network Approach" in Algorithms, 16, no. 5 (2023):257,
https://doi.org/10.3390/a16050257 . .

TY  - JOUR
AU  - Vidak-Vasić, Milica
AU  - Goel, Gaurav
AU  - Dubale, Mandefrot
AU  - Živković, Slavica
AU  - Trivunić, Milan
AU  - Pezo, Milada L.
AU  - Pezo, Lato
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10749
AB  - The main idea of the present study was to investigate the impact of the ongoing world crisis on the socio-economic issues in Serbia concerning building materials usage and purchase. This research fills in the gaps in the literature and contributes to the comprehension of how the crisis has affected salaries, market pricing, and materials consumption in the building sector. The data are gathered through a questionnaire and analyzed using a statistical methodology (frequencies, descriptive statistics, and Spearman’s correlations). Most of the former studies investigated the surveys conducted on specialists in the field, while this study analyzed the perspectives of random people. Socio-demographic issues are analyzed along with materials consumption before and after the crisis. A special emphasis is given to ecological awareness and novel materials usage. Additionally, it captures a broad shift in the economy and ecological consciousness in a developing country. The majority of respondents are open to using novel building materials and products, but their choice would largely be influenced by cost, the amount of effort involved, and their understanding of the advantages. Statistical approaches revealed that the crisis has a considerable impact on the markets for construction and building supplies, altering consumers’ decisions when purchasing. This contribution lays the groundwork for developing countries in the modern world to improve sustainability and adopt circular thinking. Professionals in Serbia need to have a more eco-aware mindset and enhance how they provide pertinent information to potential clients. This study is limited by the number of respondents. For future mathematical modeling and forecasting, more answerers are needed.
T2  - Sustainability
T1  - Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia
VL  - 15
IS  - 5
SP  - 4080
DO  - 10.3390/su15054080
ER  - 

@article{
author = "Vidak-Vasić, Milica and Goel, Gaurav and Dubale, Mandefrot and Živković, Slavica and Trivunić, Milan and Pezo, Milada L. and Pezo, Lato",
year = "2023",
abstract = "The main idea of the present study was to investigate the impact of the ongoing world crisis on the socio-economic issues in Serbia concerning building materials usage and purchase. This research fills in the gaps in the literature and contributes to the comprehension of how the crisis has affected salaries, market pricing, and materials consumption in the building sector. The data are gathered through a questionnaire and analyzed using a statistical methodology (frequencies, descriptive statistics, and Spearman’s correlations). Most of the former studies investigated the surveys conducted on specialists in the field, while this study analyzed the perspectives of random people. Socio-demographic issues are analyzed along with materials consumption before and after the crisis. A special emphasis is given to ecological awareness and novel materials usage. Additionally, it captures a broad shift in the economy and ecological consciousness in a developing country. The majority of respondents are open to using novel building materials and products, but their choice would largely be influenced by cost, the amount of effort involved, and their understanding of the advantages. Statistical approaches revealed that the crisis has a considerable impact on the markets for construction and building supplies, altering consumers’ decisions when purchasing. This contribution lays the groundwork for developing countries in the modern world to improve sustainability and adopt circular thinking. Professionals in Serbia need to have a more eco-aware mindset and enhance how they provide pertinent information to potential clients. This study is limited by the number of respondents. For future mathematical modeling and forecasting, more answerers are needed.",
journal = "Sustainability",
title = "Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia",
volume = "15",
number = "5",
pages = "4080",
doi = "10.3390/su15054080"
}

Vidak-Vasić, M., Goel, G., Dubale, M., Živković, S., Trivunić, M., Pezo, M. L.,& Pezo, L.. (2023). Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia. in Sustainability, 15(5), 4080.
https://doi.org/10.3390/su15054080

Vidak-Vasić M, Goel G, Dubale M, Živković S, Trivunić M, Pezo ML, Pezo L. Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia. in Sustainability. 2023;15(5):4080.
doi:10.3390/su15054080 .

Vidak-Vasić, Milica, Goel, Gaurav, Dubale, Mandefrot, Živković, Slavica, Trivunić, Milan, Pezo, Milada L., Pezo, Lato, "Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia" in Sustainability, 15, no. 5 (2023):4080,
https://doi.org/10.3390/su15054080 . .

TY  - CHAP
AU  - Mirkov, Nikola S.
AU  - Ouyahia, Seif Eddine
AU  - Lahlou, Sara
AU  - Pezo, Milada L.
AU  - Jovanović, Rastko D.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10065
AB  - In the present paper, we discuss implementation details of a free and open-source numerical solver based on the finite volume method for numerical simulation of viscoplastic non-Newtonian fluids. In addition to the fact that they are involved in many industrial applications, both their physical properties and their rheological behavior make them challenging for numerical simulation. Viscoplastic fluids are known to behave as solid unless the shear stress reaches a critical level, known as yield-stress, beyond which they behave as liquid. In most cases, both yielded and unyielded regions coexist in the fluid domain. In mathematical model of viscoplastic fluid, the constitutive equation is a non-differentiable function. This is often overcome by using the approximate constitutive equation that has a regularized form, e.g. the Papanastasiou regularization model. Using the same approach, we assess the influence of regularization parameters on simulation convergence and results accuracy. In this study, we give implementation details of viscoplastic fluid models in freeCappuccino open-source Computational Fluid Dynamics code. Moreover, we perform validation on several well known benchmark cases and compare proposed approach with those existing in published literature. We also perform a parametric analysis and show the effect of Reynolds and Bingham numbers on the extent of the yielded regions. Conclusions of the study have relevance in practical application of computational fluid dynamics to viscoplastic fluids in particular and to non-Newtonian fluids in general. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
T2  - Lecture Notes in Networks and Systems
T1  - Development and Validation of an Open-Source Finite-Volume Method Solver for Viscoplastic Flows
VL  - 323
SP  - 223
EP  - 238
DO  - 10.1007/978-3-030-86009-7_12
ER  - 

@inbook{
author = "Mirkov, Nikola S. and Ouyahia, Seif Eddine and Lahlou, Sara and Pezo, Milada L. and Jovanović, Rastko D.",
year = "2022",
abstract = "In the present paper, we discuss implementation details of a free and open-source numerical solver based on the finite volume method for numerical simulation of viscoplastic non-Newtonian fluids. In addition to the fact that they are involved in many industrial applications, both their physical properties and their rheological behavior make them challenging for numerical simulation. Viscoplastic fluids are known to behave as solid unless the shear stress reaches a critical level, known as yield-stress, beyond which they behave as liquid. In most cases, both yielded and unyielded regions coexist in the fluid domain. In mathematical model of viscoplastic fluid, the constitutive equation is a non-differentiable function. This is often overcome by using the approximate constitutive equation that has a regularized form, e.g. the Papanastasiou regularization model. Using the same approach, we assess the influence of regularization parameters on simulation convergence and results accuracy. In this study, we give implementation details of viscoplastic fluid models in freeCappuccino open-source Computational Fluid Dynamics code. Moreover, we perform validation on several well known benchmark cases and compare proposed approach with those existing in published literature. We also perform a parametric analysis and show the effect of Reynolds and Bingham numbers on the extent of the yielded regions. Conclusions of the study have relevance in practical application of computational fluid dynamics to viscoplastic fluids in particular and to non-Newtonian fluids in general. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
journal = "Lecture Notes in Networks and Systems",
booktitle = "Development and Validation of an Open-Source Finite-Volume Method Solver for Viscoplastic Flows",
volume = "323",
pages = "223-238",
doi = "10.1007/978-3-030-86009-7_12"
}

Mirkov, N. S., Ouyahia, S. E., Lahlou, S., Pezo, M. L.,& Jovanović, R. D.. (2022). Development and Validation of an Open-Source Finite-Volume Method Solver for Viscoplastic Flows. in Lecture Notes in Networks and Systems, 323, 223-238.
https://doi.org/10.1007/978-3-030-86009-7_12

Mirkov NS, Ouyahia SE, Lahlou S, Pezo ML, Jovanović RD. Development and Validation of an Open-Source Finite-Volume Method Solver for Viscoplastic Flows. in Lecture Notes in Networks and Systems. 2022;323:223-238.
doi:10.1007/978-3-030-86009-7_12 .

Mirkov, Nikola S., Ouyahia, Seif Eddine, Lahlou, Sara, Pezo, Milada L., Jovanović, Rastko D., "Development and Validation of an Open-Source Finite-Volume Method Solver for Viscoplastic Flows" in Lecture Notes in Networks and Systems, 323 (2022):223-238,
https://doi.org/10.1007/978-3-030-86009-7_12 . .

TY  - JOUR
AU  - Pezo, Milada L.
AU  - Mirkov, Nikola S.
AU  - Bakić, Vukman
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10176
AB  - The power transmitters, guyed masts and other lattice structures are exposed to wind action. The aerodynamic forces acting on tall tower constructions have crucial importance on the stability of the structure. The lattice structure drag coefficient determination is the subject of the international standards ESDU 81027 and 81028 and Eurocode 3 Part 3.1, but it can also be determined by numerical methods. For that purpose modelling using CFD proved to be both accurate and reliable. In this study the fluid-flow around the segment of a power transmitter was simulated by a 3-D model, where the geometry of the segment is approximated with a porous structure having the appropriate factor of porosity, in order to simplify the geometry. We have used three representative models of turbulence, standard k-? model, RNG k-? model, and Reynolds stress model. Drag coefficient values are extracted from the flow field and compared for all studied cases and with available experimental results from the wind tunnel. Simulations were performed for four wind velocities between 10 m/s and 30 m/s. The results are supplemented by the ones obtained by artificial neural network. The aim of this study is to show how the simple turbulence model coupled with approximated geometry can be used in the analysis of the aerodynamic forces acting on the lattice structure.
T2  - Thermal Science
T1  - Determination of the drag coefficient of lattice structures under wind load using porous media approach
VL  - 26
IS  - 1 Part A
SP  - 309
EP  - 317
DO  - 10.2298/TSCI210511233P
ER  - 

@article{
author = "Pezo, Milada L. and Mirkov, Nikola S. and Bakić, Vukman",
year = "2022",
abstract = "The power transmitters, guyed masts and other lattice structures are exposed to wind action. The aerodynamic forces acting on tall tower constructions have crucial importance on the stability of the structure. The lattice structure drag coefficient determination is the subject of the international standards ESDU 81027 and 81028 and Eurocode 3 Part 3.1, but it can also be determined by numerical methods. For that purpose modelling using CFD proved to be both accurate and reliable. In this study the fluid-flow around the segment of a power transmitter was simulated by a 3-D model, where the geometry of the segment is approximated with a porous structure having the appropriate factor of porosity, in order to simplify the geometry. We have used three representative models of turbulence, standard k-? model, RNG k-? model, and Reynolds stress model. Drag coefficient values are extracted from the flow field and compared for all studied cases and with available experimental results from the wind tunnel. Simulations were performed for four wind velocities between 10 m/s and 30 m/s. The results are supplemented by the ones obtained by artificial neural network. The aim of this study is to show how the simple turbulence model coupled with approximated geometry can be used in the analysis of the aerodynamic forces acting on the lattice structure.",
journal = "Thermal Science",
title = "Determination of the drag coefficient of lattice structures under wind load using porous media approach",
volume = "26",
number = "1 Part A",
pages = "309-317",
doi = "10.2298/TSCI210511233P"
}

Pezo, M. L., Mirkov, N. S.,& Bakić, V.. (2022). Determination of the drag coefficient of lattice structures under wind load using porous media approach. in Thermal Science, 26(1 Part A), 309-317.
https://doi.org/10.2298/TSCI210511233P

Pezo ML, Mirkov NS, Bakić V. Determination of the drag coefficient of lattice structures under wind load using porous media approach. in Thermal Science. 2022;26(1 Part A):309-317.
doi:10.2298/TSCI210511233P .

Pezo, Milada L., Mirkov, Nikola S., Bakić, Vukman, "Determination of the drag coefficient of lattice structures under wind load using porous media approach" in Thermal Science, 26, no. 1 Part A (2022):309-317,
https://doi.org/10.2298/TSCI210511233P . .

TY  - JOUR
AU  - Kojić, Predrag
AU  - Kojić, Jovana
AU  - Pezo, Milada L.
AU  - Krulj, Jelena
AU  - Pezo, Lato
AU  - Mirkov, Nikola S.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10294
AB  - The objective of this study was to investigate the hydrodynamics and the gas-liquid mass transfer coefficient of an external-loop airlift reactor (ELAR). The ELAR was operated in three cases: different inlet velocities of fluids, different alcohols solutions (water, 0.5% methanol, 0.5% ethanol, 0.5% propanol and 0.5% butanol) and different concentration of methanol in solutions (0%, 0.5%, 1%, 2% and 5%). The influence of superficial gas velocity and various diluted alcohol solutions on hydrodynamics and the gas-liquid mass transfer coefficient of the ELAR was studied. Experimentally, the gas hold-up, liquid velocities and volumetric mass transfer coefficient values in the riser and the downcomer were obtained from the literature source. A computational fluid dynamics (CFD) model was developed, based on two-phase flow, investigating different liquids regarding surface tension, assuming the ideal gas flow, applying the finite volume method and Eulerian-Eulerian model. The volumetric mass transfer coefficient was determined using the CFD and artificial neural network model. The effects of liquid parameters and gas velocity on the characteristics of the gas-liquid mass transfer were simulated. These models were compared with the appropriate experimental results. The CFD model successfully simulates the influence of different alcohols regarding the number of C-atoms on hydrodynamics and mass transfer.
T2  - Chemical Industry and Chemical Engineering Quarterly / CICEQ
T1  - Numerical study of the hydrodynamics and mass transfer in the external loop airlift reactor
VL  - 28
IS  - 3
SP  - 225
EP  - 235
DO  - 10.2298/CICEQ210522034K
ER  - 

@article{
author = "Kojić, Predrag and Kojić, Jovana and Pezo, Milada L. and Krulj, Jelena and Pezo, Lato and Mirkov, Nikola S.",
year = "2022",
abstract = "The objective of this study was to investigate the hydrodynamics and the gas-liquid mass transfer coefficient of an external-loop airlift reactor (ELAR). The ELAR was operated in three cases: different inlet velocities of fluids, different alcohols solutions (water, 0.5% methanol, 0.5% ethanol, 0.5% propanol and 0.5% butanol) and different concentration of methanol in solutions (0%, 0.5%, 1%, 2% and 5%). The influence of superficial gas velocity and various diluted alcohol solutions on hydrodynamics and the gas-liquid mass transfer coefficient of the ELAR was studied. Experimentally, the gas hold-up, liquid velocities and volumetric mass transfer coefficient values in the riser and the downcomer were obtained from the literature source. A computational fluid dynamics (CFD) model was developed, based on two-phase flow, investigating different liquids regarding surface tension, assuming the ideal gas flow, applying the finite volume method and Eulerian-Eulerian model. The volumetric mass transfer coefficient was determined using the CFD and artificial neural network model. The effects of liquid parameters and gas velocity on the characteristics of the gas-liquid mass transfer were simulated. These models were compared with the appropriate experimental results. The CFD model successfully simulates the influence of different alcohols regarding the number of C-atoms on hydrodynamics and mass transfer.",
journal = "Chemical Industry and Chemical Engineering Quarterly / CICEQ",
title = "Numerical study of the hydrodynamics and mass transfer in the external loop airlift reactor",
volume = "28",
number = "3",
pages = "225-235",
doi = "10.2298/CICEQ210522034K"
}

Kojić, P., Kojić, J., Pezo, M. L., Krulj, J., Pezo, L.,& Mirkov, N. S.. (2022). Numerical study of the hydrodynamics and mass transfer in the external loop airlift reactor. in Chemical Industry and Chemical Engineering Quarterly / CICEQ, 28(3), 225-235.
https://doi.org/10.2298/CICEQ210522034K

Kojić P, Kojić J, Pezo ML, Krulj J, Pezo L, Mirkov NS. Numerical study of the hydrodynamics and mass transfer in the external loop airlift reactor. in Chemical Industry and Chemical Engineering Quarterly / CICEQ. 2022;28(3):225-235.
doi:10.2298/CICEQ210522034K .

Kojić, Predrag, Kojić, Jovana, Pezo, Milada L., Krulj, Jelena, Pezo, Lato, Mirkov, Nikola S., "Numerical study of the hydrodynamics and mass transfer in the external loop airlift reactor" in Chemical Industry and Chemical Engineering Quarterly / CICEQ, 28, no. 3 (2022):225-235,
https://doi.org/10.2298/CICEQ210522034K . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Pezo, Milada L.
AU  - Stanković Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Rat, Milica
AU  - Pezo, Lato
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10161
AB  - Unlike other studies that only determined the chemical composition of essential oils depending on their geographic origin, this research investigated the effect of weather conditions (temperature, precipitation, and insolation) on the chemical composition of Nepeta nuda L. essential oil. The collection of wild-growing N. nuda was carried out during three successive years, 2019, 2020, and 2021 at Rtanj Mountain (Serbia) on the same date (July 7th). Essential oil extraction from the plant was performed by hydro-distillation. After gas chromatographic-mass spectrometric analysis, a total of 102 volatile compounds were separated from N. nuda, during the observed period, 28 were unidentified, compromising between 5.0% and 8.7%, depending on the year. A multiple linear regression model was created, and statistical analyses were performed to provide knowledge about the prediction, feature profile, and the similarity in contents of active compounds of the N. nuda essential oil. The influence of temperature on the accumulation of the most abundant component, 1,8-cineole, was positive, while the impact of precipitation and insolation was negative. According to the cluster tree, there are four chemotypes of N. nuda essential oil: with nepetalactone, 1,8-cineole, mixed (nepetalactone+1,8-cineole+germacrene D), and nonspecific chemotypes. Bearing in mind that the biological activity of a raw material depends on the chemotype and environmental factors, this is a topic that deserves a more detailed approach. The N. nuda and its essential oil are promising materials with high biological potential, and these deserve further detailed investigation.
T2  - Horticulturae
T1  - Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)
VL  - 8
IS  - 2
SP  - 85
DO  - 10.3390/horticulturae8020085
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Pezo, Milada L. and Stanković Jeremić, Jovana and Cvetković, Mirjana and Rat, Milica and Pezo, Lato",
year = "2022",
abstract = "Unlike other studies that only determined the chemical composition of essential oils depending on their geographic origin, this research investigated the effect of weather conditions (temperature, precipitation, and insolation) on the chemical composition of Nepeta nuda L. essential oil. The collection of wild-growing N. nuda was carried out during three successive years, 2019, 2020, and 2021 at Rtanj Mountain (Serbia) on the same date (July 7th). Essential oil extraction from the plant was performed by hydro-distillation. After gas chromatographic-mass spectrometric analysis, a total of 102 volatile compounds were separated from N. nuda, during the observed period, 28 were unidentified, compromising between 5.0% and 8.7%, depending on the year. A multiple linear regression model was created, and statistical analyses were performed to provide knowledge about the prediction, feature profile, and the similarity in contents of active compounds of the N. nuda essential oil. The influence of temperature on the accumulation of the most abundant component, 1,8-cineole, was positive, while the impact of precipitation and insolation was negative. According to the cluster tree, there are four chemotypes of N. nuda essential oil: with nepetalactone, 1,8-cineole, mixed (nepetalactone+1,8-cineole+germacrene D), and nonspecific chemotypes. Bearing in mind that the biological activity of a raw material depends on the chemotype and environmental factors, this is a topic that deserves a more detailed approach. The N. nuda and its essential oil are promising materials with high biological potential, and these deserve further detailed investigation.",
journal = "Horticulturae",
title = "Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)",
volume = "8",
number = "2",
pages = "85",
doi = "10.3390/horticulturae8020085"
}

Aćimović, M., Lončar, B., Pezo, M. L., Stanković Jeremić, J., Cvetković, M., Rat, M.,& Pezo, L.. (2022). Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia). in Horticulturae, 8(2), 85.
https://doi.org/10.3390/horticulturae8020085

Aćimović M, Lončar B, Pezo ML, Stanković Jeremić J, Cvetković M, Rat M, Pezo L. Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia). in Horticulturae. 2022;8(2):85.
doi:10.3390/horticulturae8020085 .

Aćimović, Milica, Lončar, Biljana, Pezo, Milada L., Stanković Jeremić, Jovana, Cvetković, Mirjana, Rat, Milica, Pezo, Lato, "Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)" in Horticulturae, 8, no. 2 (2022):85,
https://doi.org/10.3390/horticulturae8020085 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Stanković Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Todosijević, Marina
AU  - Tešević, Vele
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10241
AB  - Lavandula sp. essential oil and hydrolate are commercially valuable in various industry branches with the potential for wide-ranging applications. This study aimed to evaluate the quality of these products obtained from L. x intermedia cv. ‘Budrovka’ for the first time cultivated on Fruška Gora Mt. (Serbia) during three successive seasons (2019, 2020, and 2021). Essential oil extraction was obtained by steam distillation, and the composition and influence of weather conditions were also assessed, using flowering tops. The obtained essential oils and hydrolates were analysed by gas chromatography with a flame ionization detector (GC-FID) and gas chromatography coupled to mass spectrometry (GC-MS). A linear regression model was developed to predict L. x intermedia cv. ‘Budrovka’ essential oil volatile compound content and hydrolate composition during three years, according to temperature and precipitation data, and the appropriate regression coefficients were calculated, while the correlation analysis was employed to analyse the correlations in hydrolate and essential oil compounds. To completely describe the structure of the research data that would present a better insight into the similarities and differences among the diverse L. x intermedia cv. ‘Budrovka’ samples, the PCA was used. The most dominant in L. intermedia cv. ‘Budrovka’ essential oil and hydrolate were oxygenated monoterpenes: linalool, 1,8-cineole, borneol, linalyl acetate, and terpinene-4-ol. It is established that the temperature was positively correlated with all essential oil and hydrolate compounds. The precipitations were positively correlated with the main compounds (linalool, 1,8-cineole, and borneol), while the other compounds’ content negatively correlated to precipitation. The results indicated that Fruška Gora Mt. has suitable agro-ecological requirements for cultivating Lavandula sp. and providing satisfactory essential oil and hydrolate.
T2  - Horticulturae
T1  - Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality
VL  - 8
IS  - 4
SP  - 281
DO  - 10.3390/horticulturae8040281
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Stanković Jeremić, Jovana and Cvetković, Mirjana and Pezo, Lato and Pezo, Milada L. and Todosijević, Marina and Tešević, Vele",
year = "2022",
abstract = "Lavandula sp. essential oil and hydrolate are commercially valuable in various industry branches with the potential for wide-ranging applications. This study aimed to evaluate the quality of these products obtained from L. x intermedia cv. ‘Budrovka’ for the first time cultivated on Fruška Gora Mt. (Serbia) during three successive seasons (2019, 2020, and 2021). Essential oil extraction was obtained by steam distillation, and the composition and influence of weather conditions were also assessed, using flowering tops. The obtained essential oils and hydrolates were analysed by gas chromatography with a flame ionization detector (GC-FID) and gas chromatography coupled to mass spectrometry (GC-MS). A linear regression model was developed to predict L. x intermedia cv. ‘Budrovka’ essential oil volatile compound content and hydrolate composition during three years, according to temperature and precipitation data, and the appropriate regression coefficients were calculated, while the correlation analysis was employed to analyse the correlations in hydrolate and essential oil compounds. To completely describe the structure of the research data that would present a better insight into the similarities and differences among the diverse L. x intermedia cv. ‘Budrovka’ samples, the PCA was used. The most dominant in L. intermedia cv. ‘Budrovka’ essential oil and hydrolate were oxygenated monoterpenes: linalool, 1,8-cineole, borneol, linalyl acetate, and terpinene-4-ol. It is established that the temperature was positively correlated with all essential oil and hydrolate compounds. The precipitations were positively correlated with the main compounds (linalool, 1,8-cineole, and borneol), while the other compounds’ content negatively correlated to precipitation. The results indicated that Fruška Gora Mt. has suitable agro-ecological requirements for cultivating Lavandula sp. and providing satisfactory essential oil and hydrolate.",
journal = "Horticulturae",
title = "Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality",
volume = "8",
number = "4",
pages = "281",
doi = "10.3390/horticulturae8040281"
}

Aćimović, M., Lončar, B., Stanković Jeremić, J., Cvetković, M., Pezo, L., Pezo, M. L., Todosijević, M.,& Tešević, V.. (2022). Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality. in Horticulturae, 8(4), 281.
https://doi.org/10.3390/horticulturae8040281

Aćimović M, Lončar B, Stanković Jeremić J, Cvetković M, Pezo L, Pezo ML, Todosijević M, Tešević V. Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality. in Horticulturae. 2022;8(4):281.
doi:10.3390/horticulturae8040281 .

Aćimović, Milica, Lončar, Biljana, Stanković Jeremić, Jovana, Cvetković, Mirjana, Pezo, Lato, Pezo, Milada L., Todosijević, Marina, Tešević, Vele, "Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality" in Horticulturae, 8, no. 4 (2022):281,
https://doi.org/10.3390/horticulturae8040281 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Rat, Milica
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Pezo, Milada L.
AU  - Miljković, Ana
AU  - Lazarević, Jovan
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10350
AB  - Garden angelica (Angelica archangelica L.), native to the northern temperate region, is widespread in Europe and Asia. Since the middle ages, it has been used for healing and as a vegetable in traditional dishes. In the modern era, it has been proven that A. archangelica has a complex chemical composition. The main derivatives that contribute to the plant’s biological activities are essential oil and coumarins. In this review, the focus is on the cross-analysis of the taxonomy of A. archangelica, and its distribution in different regions, with the presentation of the richness of its biochemical composition, which overall contributes to the widespread use of the roots of this plant in folk medicine. It belongs to the plants that were introduced to the wider area of Central, Eastern, and Southern Europe; as a medicinal plant, it represents a significant part of the medical flora of many areas. Cluster analysis of pooled data indicates a clear differentiation of chemotypes.
T2  - Agronomy
T1  - Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity
VL  - 12
SP  - 1570
DO  - 10.3390/agronomy12071570
ER  - 

@article{
author = "Aćimović, Milica and Rat, Milica and Pezo, Lato and Lončar, Biljana and Pezo, Milada L. and Miljković, Ana and Lazarević, Jovan",
year = "2022",
abstract = "Garden angelica (Angelica archangelica L.), native to the northern temperate region, is widespread in Europe and Asia. Since the middle ages, it has been used for healing and as a vegetable in traditional dishes. In the modern era, it has been proven that A. archangelica has a complex chemical composition. The main derivatives that contribute to the plant’s biological activities are essential oil and coumarins. In this review, the focus is on the cross-analysis of the taxonomy of A. archangelica, and its distribution in different regions, with the presentation of the richness of its biochemical composition, which overall contributes to the widespread use of the roots of this plant in folk medicine. It belongs to the plants that were introduced to the wider area of Central, Eastern, and Southern Europe; as a medicinal plant, it represents a significant part of the medical flora of many areas. Cluster analysis of pooled data indicates a clear differentiation of chemotypes.",
journal = "Agronomy",
title = "Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity",
volume = "12",
pages = "1570",
doi = "10.3390/agronomy12071570"
}

Aćimović, M., Rat, M., Pezo, L., Lončar, B., Pezo, M. L., Miljković, A.,& Lazarević, J.. (2022). Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity. in Agronomy, 12, 1570.
https://doi.org/10.3390/agronomy12071570

Aćimović M, Rat M, Pezo L, Lončar B, Pezo ML, Miljković A, Lazarević J. Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity. in Agronomy. 2022;12:1570.
doi:10.3390/agronomy12071570 .

Aćimović, Milica, Rat, Milica, Pezo, Lato, Lončar, Biljana, Pezo, Milada L., Miljković, Ana, Lazarević, Jovan, "Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity" in Agronomy, 12 (2022):1570,
https://doi.org/10.3390/agronomy12071570 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Šovljanski, Olja
AU  - Tomić, Ana
AU  - Travičić, Vanja
AU  - Pezo, Milada L.
AU  - Aćimović, Milica
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10511
AB  - Predicting yield is essential for producers, stakeholders and international interchange demand. The majority of the divergence in yield and essential oil content is associated with environmental aspects, including weather conditions, soil variety and cultivation techniques. Therefore, aniseed production was examined in this study. The categorical input variables for artificial neural network modelling were growing year (two successive growing years), growing locality (three different locations in Vojvodina Province, Serbia) and fertilization type (six different treatments). The output variables were morphological and quality parameters, with agricultural importance such as plant height, umbel diameter, number of umbels, number of seeds per umbel, 1000-seed weight, seed yield per plant, plant weight, harvest index, yield per ha, essential oil (EO) yield, germination energy, total germination, EO content, as well as the share of EOs compounds, including limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, β-elemene, α-himachalene, trans-β-farnesene, γ-himachalene, trans-muurola-4(14),5-diene, α-zingiberene, β-himachalene, β-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r2 values between 0.555 and 0.918, while r2 values for the forecasting of essential oil content were between 0.379 and 0.908. According to global sensitivity analysis, the fertilization type was a more influential variable to agricultural parameters, while the location site was more influential to essential oils content.
T2  - Life
T1  - Agricultural Parameters and Essential Oil Content Composition Prediction of Aniseed, Based on Growing Year, Locality and Fertilization Type—An Artificial Neural Network Approach
VL  - 12
IS  - 11
SP  - 1722
DO  - 10.3390/life12111722
ER  - 

@article{
author = "Pezo, Lato and Lončar, Biljana and Šovljanski, Olja and Tomić, Ana and Travičić, Vanja and Pezo, Milada L. and Aćimović, Milica",
year = "2022",
abstract = "Predicting yield is essential for producers, stakeholders and international interchange demand. The majority of the divergence in yield and essential oil content is associated with environmental aspects, including weather conditions, soil variety and cultivation techniques. Therefore, aniseed production was examined in this study. The categorical input variables for artificial neural network modelling were growing year (two successive growing years), growing locality (three different locations in Vojvodina Province, Serbia) and fertilization type (six different treatments). The output variables were morphological and quality parameters, with agricultural importance such as plant height, umbel diameter, number of umbels, number of seeds per umbel, 1000-seed weight, seed yield per plant, plant weight, harvest index, yield per ha, essential oil (EO) yield, germination energy, total germination, EO content, as well as the share of EOs compounds, including limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, β-elemene, α-himachalene, trans-β-farnesene, γ-himachalene, trans-muurola-4(14),5-diene, α-zingiberene, β-himachalene, β-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r2 values between 0.555 and 0.918, while r2 values for the forecasting of essential oil content were between 0.379 and 0.908. According to global sensitivity analysis, the fertilization type was a more influential variable to agricultural parameters, while the location site was more influential to essential oils content.",
journal = "Life",
title = "Agricultural Parameters and Essential Oil Content Composition Prediction of Aniseed, Based on Growing Year, Locality and Fertilization Type—An Artificial Neural Network Approach",
volume = "12",
number = "11",
pages = "1722",
doi = "10.3390/life12111722"
}

Pezo, L., Lončar, B., Šovljanski, O., Tomić, A., Travičić, V., Pezo, M. L.,& Aćimović, M.. (2022). Agricultural Parameters and Essential Oil Content Composition Prediction of Aniseed, Based on Growing Year, Locality and Fertilization Type—An Artificial Neural Network Approach. in Life, 12(11), 1722.
https://doi.org/10.3390/life12111722

Pezo L, Lončar B, Šovljanski O, Tomić A, Travičić V, Pezo ML, Aćimović M. Agricultural Parameters and Essential Oil Content Composition Prediction of Aniseed, Based on Growing Year, Locality and Fertilization Type—An Artificial Neural Network Approach. in Life. 2022;12(11):1722.
doi:10.3390/life12111722 .

Pezo, Lato, Lončar, Biljana, Šovljanski, Olja, Tomić, Ana, Travičić, Vanja, Pezo, Milada L., Aćimović, Milica, "Agricultural Parameters and Essential Oil Content Composition Prediction of Aniseed, Based on Growing Year, Locality and Fertilization Type—An Artificial Neural Network Approach" in Life, 12, no. 11 (2022):1722,
https://doi.org/10.3390/life12111722 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Zeremski, Tijana
AU  - Šovljanski, Olja
AU  - Lončar, Biljana
AU  - Pezo, Lato
AU  - Zheljazkov, Valtcho D.
AU  - Pezo, Milada L.
AU  - Šuput, Danijela
AU  - Kurunci, Zoltan
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10568
AB  - Our previous research has proven that the immortelle (Helichrysum italicum) essential oil (EO) grown in Serbia possesses respectable biological potential and desirable composition of volatile compounds with the potential for a wide range of applications in the food, cosmetics, and pharmaceutical industries. Within this study, the impact of seasonal variations (temperature, precipitation, and insolation) during three successive years (2017, 2018, and 2019), on the volatile profile of γ-curcumene + ar-curcumene immortelle chemotype was determined. Steam distillation was utilized to extract EO from the plant material, followed by chromatographic mass spectrometric analysis revealing 50 volatile compounds. A multiple linear regression model was developed, and principal component analyses were conducted to deliver detailed information regarding the prediction, component profile, and parallel contents of active compounds of the immortelle EO. Under Serbian agro-ecological conditions, with appropriate harvest method, immortelle can achieve two harvests per year: the first in July, and the second in August. The γ-curcumene + ar-curcumene chemotype usually occurs as the dominant chemotype in the region of the ex-Yugoslavia countries. This chemotype probably developed as an adaptation to climatic conditions, and spring and summer precipitation positively influenced curcumene accumulation in plants. Such a phenomenon was especially noticeable in the first harvest.
T2  - Horticulturae
T1  - Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia
VL  - 8
IS  - 12
SP  - 1183
DO  - 10.3390/horticulturae8121183
ER  - 

@article{
author = "Aćimović, Milica and Zeremski, Tijana and Šovljanski, Olja and Lončar, Biljana and Pezo, Lato and Zheljazkov, Valtcho D. and Pezo, Milada L. and Šuput, Danijela and Kurunci, Zoltan",
year = "2022",
abstract = "Our previous research has proven that the immortelle (Helichrysum italicum) essential oil (EO) grown in Serbia possesses respectable biological potential and desirable composition of volatile compounds with the potential for a wide range of applications in the food, cosmetics, and pharmaceutical industries. Within this study, the impact of seasonal variations (temperature, precipitation, and insolation) during three successive years (2017, 2018, and 2019), on the volatile profile of γ-curcumene + ar-curcumene immortelle chemotype was determined. Steam distillation was utilized to extract EO from the plant material, followed by chromatographic mass spectrometric analysis revealing 50 volatile compounds. A multiple linear regression model was developed, and principal component analyses were conducted to deliver detailed information regarding the prediction, component profile, and parallel contents of active compounds of the immortelle EO. Under Serbian agro-ecological conditions, with appropriate harvest method, immortelle can achieve two harvests per year: the first in July, and the second in August. The γ-curcumene + ar-curcumene chemotype usually occurs as the dominant chemotype in the region of the ex-Yugoslavia countries. This chemotype probably developed as an adaptation to climatic conditions, and spring and summer precipitation positively influenced curcumene accumulation in plants. Such a phenomenon was especially noticeable in the first harvest.",
journal = "Horticulturae",
title = "Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia",
volume = "8",
number = "12",
pages = "1183",
doi = "10.3390/horticulturae8121183"
}

Aćimović, M., Zeremski, T., Šovljanski, O., Lončar, B., Pezo, L., Zheljazkov, V. D., Pezo, M. L., Šuput, D.,& Kurunci, Z.. (2022). Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia. in Horticulturae, 8(12), 1183.
https://doi.org/10.3390/horticulturae8121183

Aćimović M, Zeremski T, Šovljanski O, Lončar B, Pezo L, Zheljazkov VD, Pezo ML, Šuput D, Kurunci Z. Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia. in Horticulturae. 2022;8(12):1183.
doi:10.3390/horticulturae8121183 .

Aćimović, Milica, Zeremski, Tijana, Šovljanski, Olja, Lončar, Biljana, Pezo, Lato, Zheljazkov, Valtcho D., Pezo, Milada L., Šuput, Danijela, Kurunci, Zoltan, "Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia" in Horticulturae, 8, no. 12 (2022):1183,
https://doi.org/10.3390/horticulturae8121183 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Terzić, Anja
AU  - Jovanović, Aca P.
AU  - Lončar, Biljana
AU  - Govedarica, Dragan
AU  - Kojić, Predrag
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10037
AB  - The numerical model of the granular flow within an aggregate mixture, conducted in the vertical static and/or the conveyor blender, was explored using the discrete element method (DEM) approach. The blending quality of limestone fine aggregate fractions binary mixture for application in self-compacting concrete was studied. The potential of augmenting the conveyor mixer working efficiency by joining its operation to a Komax-type vertical static mixer, to increase the blending conduct was investigated. In addition the impact of the feed height on the flow field in the cone-shaped conveyor mixer was examined using the DEM simulation. Applying the numerical approach enabled a deeper insight into the quality of blending actions, while the relative standard deviation criteria ranked the uniformity of the mixture. The primary objective of this investigation was to examine the behavior of mixture for two types of blenders and to estimate the combined blending action of these two mixers, to explore the potential to augment the homogeneity of the aggregate fractions binary mixture, i.e., mixing quality, reduce the blending time and to abbreviate the energy-consuming.
T2  - Processes
T1  - Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture
VL  - 9
IS  - 11
SP  - 1991
DO  - 10.3390/pr9111991
ER  - 

@article{
author = "Pezo, Lato and Pezo, Milada L. and Terzić, Anja and Jovanović, Aca P. and Lončar, Biljana and Govedarica, Dragan and Kojić, Predrag",
year = "2021",
abstract = "The numerical model of the granular flow within an aggregate mixture, conducted in the vertical static and/or the conveyor blender, was explored using the discrete element method (DEM) approach. The blending quality of limestone fine aggregate fractions binary mixture for application in self-compacting concrete was studied. The potential of augmenting the conveyor mixer working efficiency by joining its operation to a Komax-type vertical static mixer, to increase the blending conduct was investigated. In addition the impact of the feed height on the flow field in the cone-shaped conveyor mixer was examined using the DEM simulation. Applying the numerical approach enabled a deeper insight into the quality of blending actions, while the relative standard deviation criteria ranked the uniformity of the mixture. The primary objective of this investigation was to examine the behavior of mixture for two types of blenders and to estimate the combined blending action of these two mixers, to explore the potential to augment the homogeneity of the aggregate fractions binary mixture, i.e., mixing quality, reduce the blending time and to abbreviate the energy-consuming.",
journal = "Processes",
title = "Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture",
volume = "9",
number = "11",
pages = "1991",
doi = "10.3390/pr9111991"
}

Pezo, L., Pezo, M. L., Terzić, A., Jovanović, A. P., Lončar, B., Govedarica, D.,& Kojić, P.. (2021). Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture. in Processes, 9(11), 1991.
https://doi.org/10.3390/pr9111991

Pezo L, Pezo ML, Terzić A, Jovanović AP, Lončar B, Govedarica D, Kojić P. Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture. in Processes. 2021;9(11):1991.
doi:10.3390/pr9111991 .

Pezo, Lato, Pezo, Milada L., Terzić, Anja, Jovanović, Aca P., Lončar, Biljana, Govedarica, Dragan, Kojić, Predrag, "Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture" in Processes, 9, no. 11 (2021):1991,
https://doi.org/10.3390/pr9111991 . .

TY  - JOUR
AU  - Pezo, Milada L.
AU  - Pezo, Lato
AU  - Dragojlović, Danka
AU  - Čolović, Radmilo
AU  - Čolović, Dušica
AU  - Vidosavljević, Strahinja
AU  - Hadnađev, Miroslav
AU  - Đuragić, Olivera
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8921
AB  - Spray nozzles are widely used in processing industry for spreading evenly large amount of fluids. The expansion of fluid depends on the nozzle type, the parameters of the nozzle and the characteristics of the working fluids. The experiments were performed for five fluid types used in food/pharma/animal feed application (glycerol, soybean oil, molasses, hydroxypropyl methylcellulose, tara gum), three diameters of the nozzle (1 mm, 3 mm, 5 mm) and three fluid temperatures (40 °C, 50 °C and 60 °C). An experimentally validated numerical model was developed, based on laminar two-phase flow, investigating different liquids, assuming the ideal gas flow, applying the finite volume method and volume of the fluid model with interface tracking. The effects of liquid parameters, nozzle diameter and liquid temperature on the characteristics of the jet were also analysed by artificial neural network model. The nozzle diameter strongly influenced the spreading characteristics of the jet, while the temperature affected the liquid viscosity. The increase of the temperature also led to the augment of the spreading angle of the fluid passing from the nozzle and also the enhancement of the spaying liquid expansion. © 2020 Institution of Chemical Engineers
T2  - Chemical Engineering Research and Design
T1  - Experimental and computational study of the two-fluid nozzle spreading characteristics
VL  - 166
SP  - 18
EP  - 28
DO  - 10.1016/j.cherd.2020.11.027
ER  - 

@article{
author = "Pezo, Milada L. and Pezo, Lato and Dragojlović, Danka and Čolović, Radmilo and Čolović, Dušica and Vidosavljević, Strahinja and Hadnađev, Miroslav and Đuragić, Olivera",
year = "2021",
abstract = "Spray nozzles are widely used in processing industry for spreading evenly large amount of fluids. The expansion of fluid depends on the nozzle type, the parameters of the nozzle and the characteristics of the working fluids. The experiments were performed for five fluid types used in food/pharma/animal feed application (glycerol, soybean oil, molasses, hydroxypropyl methylcellulose, tara gum), three diameters of the nozzle (1 mm, 3 mm, 5 mm) and three fluid temperatures (40 °C, 50 °C and 60 °C). An experimentally validated numerical model was developed, based on laminar two-phase flow, investigating different liquids, assuming the ideal gas flow, applying the finite volume method and volume of the fluid model with interface tracking. The effects of liquid parameters, nozzle diameter and liquid temperature on the characteristics of the jet were also analysed by artificial neural network model. The nozzle diameter strongly influenced the spreading characteristics of the jet, while the temperature affected the liquid viscosity. The increase of the temperature also led to the augment of the spreading angle of the fluid passing from the nozzle and also the enhancement of the spaying liquid expansion. © 2020 Institution of Chemical Engineers",
journal = "Chemical Engineering Research and Design",
title = "Experimental and computational study of the two-fluid nozzle spreading characteristics",
volume = "166",
pages = "18-28",
doi = "10.1016/j.cherd.2020.11.027"
}

Pezo, M. L., Pezo, L., Dragojlović, D., Čolović, R., Čolović, D., Vidosavljević, S., Hadnađev, M.,& Đuragić, O.. (2021). Experimental and computational study of the two-fluid nozzle spreading characteristics. in Chemical Engineering Research and Design, 166, 18-28.
https://doi.org/10.1016/j.cherd.2020.11.027

Pezo ML, Pezo L, Dragojlović D, Čolović R, Čolović D, Vidosavljević S, Hadnađev M, Đuragić O. Experimental and computational study of the two-fluid nozzle spreading characteristics. in Chemical Engineering Research and Design. 2021;166:18-28.
doi:10.1016/j.cherd.2020.11.027 .

Pezo, Milada L., Pezo, Lato, Dragojlović, Danka, Čolović, Radmilo, Čolović, Dušica, Vidosavljević, Strahinja, Hadnađev, Miroslav, Đuragić, Olivera, "Experimental and computational study of the two-fluid nozzle spreading characteristics" in Chemical Engineering Research and Design, 166 (2021):18-28,
https://doi.org/10.1016/j.cherd.2020.11.027 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Banjac, Vojislav
AU  - Pezo, Milada L.
AU  - Jovanović, Aca P.
AU  - Đuragić, Olivera
AU  - Čolović, Dušica
AU  - Čolović, Radmilo
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9726
AB  - The processes of transportation of bulk materials from silos and hoppers are significant in various industrial applications because of their influences on material characteristics and working parameters of the production process. In this paper, a rotating valve feeder, with eight vanes was investigated for transport action of bulk materials, such as wheat, maize and rice, which were ground, using the sieve sizes of 1, 3 and 5 mm. The rotating valve feeders under investigation have proven to be useful in transportation processes despite their construction simplicity. All investigations were done experimentally and numerically, using coupled Discrete Element Method (DEM) and Computational Fluid Dynamics calculation (CFD). The influences of different types of bulk materials and its particle size, on the performances of the rotating valve feeder during material transport were explored. The artificial neural network was developed (in the form of a multi-layer perceptron model) in order to optimize the granular flow of the bulk material, showing the high prediction capability of bulk density, dosing time and granular material flow, with the coefficient of determination equal to 0.999 during the training period. The decreasing of the sieve opening diameter caused the decrease in bulk density of the ground material, but statistically significant only for rice, as seen from the experiments and the results of the neural network model. The 5 mm sieve ensured the material with the highest flowability, significantly increasing the granular flow and decreasing the dosing time. The granular particles were modelled as the spheres in the DEM/CFD simulation, with a small-sized triangular surfaces. The DEM/CFD prediction of the mass transport for rice, wheat and maize was quite adequate, obtaining the coefficient of determination being 0.997; 0.998 and 0.849, respectively.
T2  - Animal Feed Science and Technology
T1  - Mathematical model, numerical simulation and optimization of rotating valve feeder in animal feed production
VL  - 272
SP  - 114741
DO  - 10.1016/j.anifeedsci.2020.114741
ER  - 

@article{
author = "Pezo, Lato and Banjac, Vojislav and Pezo, Milada L. and Jovanović, Aca P. and Đuragić, Olivera and Čolović, Dušica and Čolović, Radmilo",
year = "2021",
abstract = "The processes of transportation of bulk materials from silos and hoppers are significant in various industrial applications because of their influences on material characteristics and working parameters of the production process. In this paper, a rotating valve feeder, with eight vanes was investigated for transport action of bulk materials, such as wheat, maize and rice, which were ground, using the sieve sizes of 1, 3 and 5 mm. The rotating valve feeders under investigation have proven to be useful in transportation processes despite their construction simplicity. All investigations were done experimentally and numerically, using coupled Discrete Element Method (DEM) and Computational Fluid Dynamics calculation (CFD). The influences of different types of bulk materials and its particle size, on the performances of the rotating valve feeder during material transport were explored. The artificial neural network was developed (in the form of a multi-layer perceptron model) in order to optimize the granular flow of the bulk material, showing the high prediction capability of bulk density, dosing time and granular material flow, with the coefficient of determination equal to 0.999 during the training period. The decreasing of the sieve opening diameter caused the decrease in bulk density of the ground material, but statistically significant only for rice, as seen from the experiments and the results of the neural network model. The 5 mm sieve ensured the material with the highest flowability, significantly increasing the granular flow and decreasing the dosing time. The granular particles were modelled as the spheres in the DEM/CFD simulation, with a small-sized triangular surfaces. The DEM/CFD prediction of the mass transport for rice, wheat and maize was quite adequate, obtaining the coefficient of determination being 0.997; 0.998 and 0.849, respectively.",
journal = "Animal Feed Science and Technology",
title = "Mathematical model, numerical simulation and optimization of rotating valve feeder in animal feed production",
volume = "272",
pages = "114741",
doi = "10.1016/j.anifeedsci.2020.114741"
}

Pezo, L., Banjac, V., Pezo, M. L., Jovanović, A. P., Đuragić, O., Čolović, D.,& Čolović, R.. (2021). Mathematical model, numerical simulation and optimization of rotating valve feeder in animal feed production. in Animal Feed Science and Technology, 272, 114741.
https://doi.org/10.1016/j.anifeedsci.2020.114741

Pezo L, Banjac V, Pezo ML, Jovanović AP, Đuragić O, Čolović D, Čolović R. Mathematical model, numerical simulation and optimization of rotating valve feeder in animal feed production. in Animal Feed Science and Technology. 2021;272:114741.
doi:10.1016/j.anifeedsci.2020.114741 .

Pezo, Lato, Banjac, Vojislav, Pezo, Milada L., Jovanović, Aca P., Đuragić, Olivera, Čolović, Dušica, Čolović, Radmilo, "Mathematical model, numerical simulation and optimization of rotating valve feeder in animal feed production" in Animal Feed Science and Technology, 272 (2021):114741,
https://doi.org/10.1016/j.anifeedsci.2020.114741 . .

TY  - CONF
AU  - Terzić, Ana
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Mijatović, Nevenka
AU  - Miličić, Ljiljana
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10844
AB  - Prediction of physico-mechanical and thermo-mechanical properties of cement mortars with different mineral additives based on materials’ starting compositions by means of machine learning models is an essential feature in contemporary civil engineering. In this study, the prediction of performances of seventeen mortar mixtures based on Portland cement (CEM I 42.5R) with mineral additives and subsequent comparison with properties of mortars in which various cement types were used as binders was conducted using artificial neural network (ANN) modeling. Analytical model comprised discrimination based on similarities and differences between composite mortars and mortars based on 6 different cement types (without additives). The employed cements were: ordinary Portland cement, moderate heat hydration cement, high early strength cement, low heath hydration cement, high sulphate resistant cement, calcium aluminate cement, and high alumina cement. The mineral additives used were: fly ash, bottom ash, zeolite, bentonite, perlite, vermiculite, pyrophyllite, micro silica, silica fume, spinel, chamotte, calcinated clay, kaoline clay, alumina, limestone, talc, and copper slag. This investigation designates the impacts of various process parameters, such as the concentration of SiO2 , Al 2 O3 , Fe 2 O3 , CaO, MgO, K2 O, Na 2 O, TiO2 , SO3 , and LoI, and their effects on the quality of mortars with additives. The characteristics of mortars were evaluated regarding the dependent parameters such as: pozzolanic activity, heath of hydration, setting time, compressive strength, split tensile strength, compressive and split tensile strength under various temperatures up to 1000 °C, refractoriness, and sulphate resistence. Cluster Analysis and Principal Component Analysis were used for estimating the effect of ascertained process parameters on the quality of cements and additives. Artificial neural network model was employed to foresee the quality of cement mortars with additives of discovered outputs and its results show the high suitability level of anticipation: 0.999 during the training period, which can be regarded appropriately enough to correctly predict the observed outputs in a wide range of processing parameters. The developed ANN model displayed high predictive accuracy and it can be used in civil engineering for prediction of properties of novel mineral additives if their chemical composition is known.
PB  - Belgrade : Serbian Ceramic Society
C3  - Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade
T1  - Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives
SP  - 88
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10844
ER  - 

@conference{
author = "Terzić, Ana and Pezo, Lato and Pezo, Milada L. and Mijatović, Nevenka and Miličić, Ljiljana",
year = "2021",
abstract = "Prediction of physico-mechanical and thermo-mechanical properties of cement mortars with different mineral additives based on materials’ starting compositions by means of machine learning models is an essential feature in contemporary civil engineering. In this study, the prediction of performances of seventeen mortar mixtures based on Portland cement (CEM I 42.5R) with mineral additives and subsequent comparison with properties of mortars in which various cement types were used as binders was conducted using artificial neural network (ANN) modeling. Analytical model comprised discrimination based on similarities and differences between composite mortars and mortars based on 6 different cement types (without additives). The employed cements were: ordinary Portland cement, moderate heat hydration cement, high early strength cement, low heath hydration cement, high sulphate resistant cement, calcium aluminate cement, and high alumina cement. The mineral additives used were: fly ash, bottom ash, zeolite, bentonite, perlite, vermiculite, pyrophyllite, micro silica, silica fume, spinel, chamotte, calcinated clay, kaoline clay, alumina, limestone, talc, and copper slag. This investigation designates the impacts of various process parameters, such as the concentration of SiO2 , Al 2 O3 , Fe 2 O3 , CaO, MgO, K2 O, Na 2 O, TiO2 , SO3 , and LoI, and their effects on the quality of mortars with additives. The characteristics of mortars were evaluated regarding the dependent parameters such as: pozzolanic activity, heath of hydration, setting time, compressive strength, split tensile strength, compressive and split tensile strength under various temperatures up to 1000 °C, refractoriness, and sulphate resistence. Cluster Analysis and Principal Component Analysis were used for estimating the effect of ascertained process parameters on the quality of cements and additives. Artificial neural network model was employed to foresee the quality of cement mortars with additives of discovered outputs and its results show the high suitability level of anticipation: 0.999 during the training period, which can be regarded appropriately enough to correctly predict the observed outputs in a wide range of processing parameters. The developed ANN model displayed high predictive accuracy and it can be used in civil engineering for prediction of properties of novel mineral additives if their chemical composition is known.",
publisher = "Belgrade : Serbian Ceramic Society",
journal = "Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade",
title = "Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives",
pages = "88",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10844"
}

Terzić, A., Pezo, L., Pezo, M. L., Mijatović, N.,& Miličić, L.. (2021). Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives. in Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade
Belgrade : Serbian Ceramic Society., 88.
https://hdl.handle.net/21.15107/rcub_vinar_10844

Terzić A, Pezo L, Pezo ML, Mijatović N, Miličić L. Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives. in Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade. 2021;:88.
https://hdl.handle.net/21.15107/rcub_vinar_10844 .

Terzić, Ana, Pezo, Lato, Pezo, Milada L., Mijatović, Nevenka, Miličić, Ljiljana, "Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives" in Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade (2021):88,
https://hdl.handle.net/21.15107/rcub_vinar_10844 .

TY  - JOUR
AU  - Goel, Gaurav
AU  - Vidak-Vasić, Milica
AU  - Katiyar, Nirmal Kumar
AU  - Kirthika, S. K.
AU  - Pezo, Milada L.
AU  - Dinakar, P.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9558
AB  - This study's focus was to develop a potential pathway for recycling of the paper mill sludge compost (PMSC) in brick making. Composting reduces the paper mill sludge (PMS) moisture content considerably and shredding becomes easier. The addition of PMSC leads to an increase of porosities in bricks and makes them lighter, besides delivering energy to the firing process from burning organics. Lighter construction materials help minimize construction outlay by reducing labour and transportation costs and lesser expense on foundation construction. The variability in the experimental data and the brick properties were investigated for two types of soils, typical in the brick industry of India (alluvial and laterite soil), blended with PMSC in five mix ratios (0%, 5%, 10%, 15% and 20%). The samples of oven-dried bricks were fired at two different temperatures (850 and 900 °C) in an electrically operated muffle furnace representing typical conditions of a brick kiln. Various properties of bricks were analyzed which included linear shrinkage, bulk density, water absorption and compressive strength. Conclusions were drawn based on these properties. It was found that the addition of PMSC to the alluvial and laterite soil by up to 10% weight yield mechanical properties of fired bricks compliant with the relevant Indian and ASTM codes. Toxicity characteristic leaching procedure (TCLP) tests showed that PMSC incorporated fired bricks are safe to use in regular applications as non-load-bearing and infill walls. This study is timely in light of the European Green Deal putting focus on circular economy. Besides, it fulfills the objective of UN sustainable development goals (SDG). © 2021 Elsevier Ltd
T2  - Construction and Building Materials
T1  - Potential pathway for recycling of the paper mill sludge compost for brick making
VL  - 278
SP  - 122384
DO  - 10.1016/j.conbuildmat.2021.122384
ER  - 

@article{
author = "Goel, Gaurav and Vidak-Vasić, Milica and Katiyar, Nirmal Kumar and Kirthika, S. K. and Pezo, Milada L. and Dinakar, P.",
year = "2021",
abstract = "This study's focus was to develop a potential pathway for recycling of the paper mill sludge compost (PMSC) in brick making. Composting reduces the paper mill sludge (PMS) moisture content considerably and shredding becomes easier. The addition of PMSC leads to an increase of porosities in bricks and makes them lighter, besides delivering energy to the firing process from burning organics. Lighter construction materials help minimize construction outlay by reducing labour and transportation costs and lesser expense on foundation construction. The variability in the experimental data and the brick properties were investigated for two types of soils, typical in the brick industry of India (alluvial and laterite soil), blended with PMSC in five mix ratios (0%, 5%, 10%, 15% and 20%). The samples of oven-dried bricks were fired at two different temperatures (850 and 900 °C) in an electrically operated muffle furnace representing typical conditions of a brick kiln. Various properties of bricks were analyzed which included linear shrinkage, bulk density, water absorption and compressive strength. Conclusions were drawn based on these properties. It was found that the addition of PMSC to the alluvial and laterite soil by up to 10% weight yield mechanical properties of fired bricks compliant with the relevant Indian and ASTM codes. Toxicity characteristic leaching procedure (TCLP) tests showed that PMSC incorporated fired bricks are safe to use in regular applications as non-load-bearing and infill walls. This study is timely in light of the European Green Deal putting focus on circular economy. Besides, it fulfills the objective of UN sustainable development goals (SDG). © 2021 Elsevier Ltd",
journal = "Construction and Building Materials",
title = "Potential pathway for recycling of the paper mill sludge compost for brick making",
volume = "278",
pages = "122384",
doi = "10.1016/j.conbuildmat.2021.122384"
}

Goel, G., Vidak-Vasić, M., Katiyar, N. K., Kirthika, S. K., Pezo, M. L.,& Dinakar, P.. (2021). Potential pathway for recycling of the paper mill sludge compost for brick making. in Construction and Building Materials, 278, 122384.
https://doi.org/10.1016/j.conbuildmat.2021.122384

Goel G, Vidak-Vasić M, Katiyar NK, Kirthika SK, Pezo ML, Dinakar P. Potential pathway for recycling of the paper mill sludge compost for brick making. in Construction and Building Materials. 2021;278:122384.
doi:10.1016/j.conbuildmat.2021.122384 .

Goel, Gaurav, Vidak-Vasić, Milica, Katiyar, Nirmal Kumar, Kirthika, S. K., Pezo, Milada L., Dinakar, P., "Potential pathway for recycling of the paper mill sludge compost for brick making" in Construction and Building Materials, 278 (2021):122384,
https://doi.org/10.1016/j.conbuildmat.2021.122384 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Radulović, Dragan
AU  - Pezo, Milada L.
AU  - Stojanović, Jovica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
AU  - Andrić, Ljubiša
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9042
AB  - The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.
T2  - Construction and Building Materials
T1  - Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders
VL  - 258
SP  - 119721
DO  - 10.1016/j.conbuildmat.2020.119721
ER  - 

@article{
author = "Terzić, Anja and Radulović, Dragan and Pezo, Milada L. and Stojanović, Jovica and Pezo, Lato and Radojević, Zagorka and Andrić, Ljubiša",
year = "2020",
abstract = "The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.",
journal = "Construction and Building Materials",
title = "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders",
volume = "258",
pages = "119721",
doi = "10.1016/j.conbuildmat.2020.119721"
}

Terzić, A., Radulović, D., Pezo, M. L., Stojanović, J., Pezo, L., Radojević, Z.,& Andrić, L.. (2020). Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials, 258, 119721.
https://doi.org/10.1016/j.conbuildmat.2020.119721

Terzić A, Radulović D, Pezo ML, Stojanović J, Pezo L, Radojević Z, Andrić L. Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials. 2020;258:119721.
doi:10.1016/j.conbuildmat.2020.119721 .

Terzić, Anja, Radulović, Dragan, Pezo, Milada L., Stojanović, Jovica, Pezo, Lato, Radojević, Zagorka, Andrić, Ljubiša, "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders" in Construction and Building Materials, 258 (2020):119721,
https://doi.org/10.1016/j.conbuildmat.2020.119721 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Banjac, Vojislav
AU  - Jovanović, Aca
AU  - Krulj, Jelena
AU  - Kojić, Jovana
AU  - Kojić, Predrag
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9118
AB  - The mixing quality of the pigeon diet mix was studied after the mixing in the Ross-type static mixer (pre-mixer) and the vertical feed mixer (final mixer in the line). Three different experiments were performed: firstly, the possibilities of static mixer were investigated, secondly the blending performance of the vertical feed mixer, and the combination of these approaches in the third experiment. The Discrete Element Method was used in numerical modelling of granular flow in the pre-mixer and the vertical feed mixer, to predict the inter-particle mixing quality, and the results of the mixing. The results of the model were compared with appropriate experiments. The main goal was to foresee the behaviour of mixture in two type of mixers and to evaluate the combined mixing action of these two mixers, in order to explore the possibilities to increase the mixing quality, shorten the mixing time and to reduce the energy consumption.
T2  - Powder Technology
T1  - Blending performance of the coupled Ross static mixer and vertical feed mixer - Discrete element model approach
VL  - 375
SP  - 20
EP  - 27
DO  - 10.1016/j.powtec.2020.07.104
ER  - 

@article{
author = "Pezo, Lato and Pezo, Milada L. and Banjac, Vojislav and Jovanović, Aca and Krulj, Jelena and Kojić, Jovana and Kojić, Predrag",
year = "2020",
abstract = "The mixing quality of the pigeon diet mix was studied after the mixing in the Ross-type static mixer (pre-mixer) and the vertical feed mixer (final mixer in the line). Three different experiments were performed: firstly, the possibilities of static mixer were investigated, secondly the blending performance of the vertical feed mixer, and the combination of these approaches in the third experiment. The Discrete Element Method was used in numerical modelling of granular flow in the pre-mixer and the vertical feed mixer, to predict the inter-particle mixing quality, and the results of the mixing. The results of the model were compared with appropriate experiments. The main goal was to foresee the behaviour of mixture in two type of mixers and to evaluate the combined mixing action of these two mixers, in order to explore the possibilities to increase the mixing quality, shorten the mixing time and to reduce the energy consumption.",
journal = "Powder Technology",
title = "Blending performance of the coupled Ross static mixer and vertical feed mixer - Discrete element model approach",
volume = "375",
pages = "20-27",
doi = "10.1016/j.powtec.2020.07.104"
}

Pezo, L., Pezo, M. L., Banjac, V., Jovanović, A., Krulj, J., Kojić, J.,& Kojić, P.. (2020). Blending performance of the coupled Ross static mixer and vertical feed mixer - Discrete element model approach. in Powder Technology, 375, 20-27.
https://doi.org/10.1016/j.powtec.2020.07.104

Pezo L, Pezo ML, Banjac V, Jovanović A, Krulj J, Kojić J, Kojić P. Blending performance of the coupled Ross static mixer and vertical feed mixer - Discrete element model approach. in Powder Technology. 2020;375:20-27.
doi:10.1016/j.powtec.2020.07.104 .

Pezo, Lato, Pezo, Milada L., Banjac, Vojislav, Jovanović, Aca, Krulj, Jelena, Kojić, Jovana, Kojić, Predrag, "Blending performance of the coupled Ross static mixer and vertical feed mixer - Discrete element model approach" in Powder Technology, 375 (2020):20-27,
https://doi.org/10.1016/j.powtec.2020.07.104 . .

TY  - JOUR
AU  - Dragojlović, Danka
AU  - Pezo, Lato
AU  - Čolović, Dušica
AU  - Vidosavljević, Strahinja
AU  - Pezo, Milada L.
AU  - Čolović, Radmilo
AU  - Kokić, Bojana
AU  - Đuragić, Olivera
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8821
AB  - In the past few decades the diet preparation in feed production has evolved towards more complicated technological operations, which include different liquid addition. A wide scale of different liquids is used in contemporary animal feed production, from oils and glycerol to more expensive products in a liquid form, such as enzymes, flavourings, amino acids, vitamins and others. In the presented study the liquid addition in feed production was observed, with a specific goal to investigate the spraying systems in order to better understand the effects of fluids, such as soybean oil and glycerol, on feed production. The dispersion angles of spraying nozzle for glycerol and soybean oil were determined as an indicator of the uniform application of liquids during feed production. Dispersion of the material was accomplished using the two-fluid nozzle. The performance of Artificial Neural Network (ANN) was compared with experimental data in order to develop rapid and accurate method for prediction of dispersion angle. The ANN model showed high prediction accuracy (r2 = 0.945).
T2  - Acta Periodica Technologica
T1  - Application of soybean oil and glycerol in animal feed production, ANN model
IS  - 50
SP  - 51
EP  - 58
DO  - 10.2298/APT1950051D
ER  - 

@article{
author = "Dragojlović, Danka and Pezo, Lato and Čolović, Dušica and Vidosavljević, Strahinja and Pezo, Milada L. and Čolović, Radmilo and Kokić, Bojana and Đuragić, Olivera",
year = "2019",
abstract = "In the past few decades the diet preparation in feed production has evolved towards more complicated technological operations, which include different liquid addition. A wide scale of different liquids is used in contemporary animal feed production, from oils and glycerol to more expensive products in a liquid form, such as enzymes, flavourings, amino acids, vitamins and others. In the presented study the liquid addition in feed production was observed, with a specific goal to investigate the spraying systems in order to better understand the effects of fluids, such as soybean oil and glycerol, on feed production. The dispersion angles of spraying nozzle for glycerol and soybean oil were determined as an indicator of the uniform application of liquids during feed production. Dispersion of the material was accomplished using the two-fluid nozzle. The performance of Artificial Neural Network (ANN) was compared with experimental data in order to develop rapid and accurate method for prediction of dispersion angle. The ANN model showed high prediction accuracy (r2 = 0.945).",
journal = "Acta Periodica Technologica",
title = "Application of soybean oil and glycerol in animal feed production, ANN model",
number = "50",
pages = "51-58",
doi = "10.2298/APT1950051D"
}

Dragojlović, D., Pezo, L., Čolović, D., Vidosavljević, S., Pezo, M. L., Čolović, R., Kokić, B.,& Đuragić, O.. (2019). Application of soybean oil and glycerol in animal feed production, ANN model. in Acta Periodica Technologica(50), 51-58.
https://doi.org/10.2298/APT1950051D

Dragojlović D, Pezo L, Čolović D, Vidosavljević S, Pezo ML, Čolović R, Kokić B, Đuragić O. Application of soybean oil and glycerol in animal feed production, ANN model. in Acta Periodica Technologica. 2019;(50):51-58.
doi:10.2298/APT1950051D .

Dragojlović, Danka, Pezo, Lato, Čolović, Dušica, Vidosavljević, Strahinja, Pezo, Milada L., Čolović, Radmilo, Kokić, Bojana, Đuragić, Olivera, "Application of soybean oil and glycerol in animal feed production, ANN model" in Acta Periodica Technologica, no. 50 (2019):51-58,
https://doi.org/10.2298/APT1950051D . .

TY  - JOUR
AU  - Pezo, Milada L.
AU  - Pezo, Lato
AU  - Jovanović, Aca
AU  - Terzić, Anja
AU  - Andrić, Ljubiša
AU  - Lončar, Biljana
AU  - Kojić, Predrag
PY  - 2018
UR  - https://linkinghub.elsevier.com/retrieve/pii/S0032591018304480
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7719
AB  - In this paper, five types of horizontal single-pitch screw conveyors with modified geometry, with three different lengths (400, 600 and 800 mm) were investigated for transport and auxiliary mixing action of two materials: natural zeolite and quartz aggregate (sand) with particle sizes 3, 4 and 5 mm. The geometry of the screw transporter is changed by welding three additional helices oriented in the same or the opposite direction from screw cutting edges, enabling the premixing of materials, during the transport. The proper mixing of the observed materials provides an adequate disposition of zeolite particles within the composite and prevents agglomeration and interference with cement hydration. Zeolite application as a binder in a building material is a possible solution to environmental pollution problems caused by cement production. The influences of screw length, particle diameter, the studied geometry variations of screw design, on the mixing performances of the screw conveyor-mixer during material transport were explored. All investigations were performed experimentally and numerically, by using Discrete Element Method (DEM). The experimental results and the results of the DEM investigation were used for the development of mathematical models for the prediction of mixing quality, which are presented in the form of second order polynomial and artificial neural network model.
T2  - Powder Technology
T1  - Discrete element model of particle transport and premixing action in modified screw conveyors
VL  - 336
SP  - 255
EP  - 264
DO  - 10.1016/j.powtec.2018.06.009
ER  - 

@article{
author = "Pezo, Milada L. and Pezo, Lato and Jovanović, Aca and Terzić, Anja and Andrić, Ljubiša and Lončar, Biljana and Kojić, Predrag",
year = "2018",
abstract = "In this paper, five types of horizontal single-pitch screw conveyors with modified geometry, with three different lengths (400, 600 and 800 mm) were investigated for transport and auxiliary mixing action of two materials: natural zeolite and quartz aggregate (sand) with particle sizes 3, 4 and 5 mm. The geometry of the screw transporter is changed by welding three additional helices oriented in the same or the opposite direction from screw cutting edges, enabling the premixing of materials, during the transport. The proper mixing of the observed materials provides an adequate disposition of zeolite particles within the composite and prevents agglomeration and interference with cement hydration. Zeolite application as a binder in a building material is a possible solution to environmental pollution problems caused by cement production. The influences of screw length, particle diameter, the studied geometry variations of screw design, on the mixing performances of the screw conveyor-mixer during material transport were explored. All investigations were performed experimentally and numerically, by using Discrete Element Method (DEM). The experimental results and the results of the DEM investigation were used for the development of mathematical models for the prediction of mixing quality, which are presented in the form of second order polynomial and artificial neural network model.",
journal = "Powder Technology",
title = "Discrete element model of particle transport and premixing action in modified screw conveyors",
volume = "336",
pages = "255-264",
doi = "10.1016/j.powtec.2018.06.009"
}

Pezo, M. L., Pezo, L., Jovanović, A., Terzić, A., Andrić, L., Lončar, B.,& Kojić, P.. (2018). Discrete element model of particle transport and premixing action in modified screw conveyors. in Powder Technology, 336, 255-264.
https://doi.org/10.1016/j.powtec.2018.06.009

Pezo ML, Pezo L, Jovanović A, Terzić A, Andrić L, Lončar B, Kojić P. Discrete element model of particle transport and premixing action in modified screw conveyors. in Powder Technology. 2018;336:255-264.
doi:10.1016/j.powtec.2018.06.009 .

Pezo, Milada L., Pezo, Lato, Jovanović, Aca, Terzić, Anja, Andrić, Ljubiša, Lončar, Biljana, Kojić, Predrag, "Discrete element model of particle transport and premixing action in modified screw conveyors" in Powder Technology, 336 (2018):255-264,
https://doi.org/10.1016/j.powtec.2018.06.009 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Jovanović, Aca
AU  - Čolović, Radmilo
AU  - Vukmirović, Đuro
AU  - Banjac, Vojislav
AU  - Đuragić, Olivera
PY  - 2018
UR  - http://linkinghub.elsevier.com/retrieve/pii/S092188311830147X
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7673
AB  - In this study, the mixing performance of coupled mixing action of the Komax static mixer (which is used as a pre-mixer) and rotating drum (applied as the final mixer) was explored in the maize meal mixing operation. The main objective of this paper was to predict the behaviour of the previously grinded maize particles, during the mixing process in static mixer and drum mixer, and to explore the possibilities to shorten the mixing time in the main mixer (in order to reduce the energy consumption). Three different experiments were performed: in the first experiment, possibilities of static mixer were explored, second experiment showed the mixing performance of rotating drum, and the combination of these two mixing devices was investigated in the third experiment. Homogeneity of the obtained mixtures was determined experimentally, by the “Microtracers” method. The Discrete Element Method was used for modelling of granular flow in the pre-mixing and final mixing applications, and to predict the inter-particle mixing quality within a static mixer and the rotating drum mixer. The results of the numerical simulation are compared with appropriate experimental results. The possible industrial application of this model could be the optimization of parameters of mixing systems taking into account the quality and the duration of the mixing process.
T2  - Advanced Powder Technology
T1  - The joint mixing action of the static pre-mixer and the rotating drum mixer – Discrete element method approach
VL  - 29
IS  - 7
SP  - 1734
EP  - 1741
DO  - 10.1016/j.apt.2018.04.008
ER  - 

@article{
author = "Pezo, Lato and Pezo, Milada L. and Jovanović, Aca and Čolović, Radmilo and Vukmirović, Đuro and Banjac, Vojislav and Đuragić, Olivera",
year = "2018",
abstract = "In this study, the mixing performance of coupled mixing action of the Komax static mixer (which is used as a pre-mixer) and rotating drum (applied as the final mixer) was explored in the maize meal mixing operation. The main objective of this paper was to predict the behaviour of the previously grinded maize particles, during the mixing process in static mixer and drum mixer, and to explore the possibilities to shorten the mixing time in the main mixer (in order to reduce the energy consumption). Three different experiments were performed: in the first experiment, possibilities of static mixer were explored, second experiment showed the mixing performance of rotating drum, and the combination of these two mixing devices was investigated in the third experiment. Homogeneity of the obtained mixtures was determined experimentally, by the “Microtracers” method. The Discrete Element Method was used for modelling of granular flow in the pre-mixing and final mixing applications, and to predict the inter-particle mixing quality within a static mixer and the rotating drum mixer. The results of the numerical simulation are compared with appropriate experimental results. The possible industrial application of this model could be the optimization of parameters of mixing systems taking into account the quality and the duration of the mixing process.",
journal = "Advanced Powder Technology",
title = "The joint mixing action of the static pre-mixer and the rotating drum mixer – Discrete element method approach",
volume = "29",
number = "7",
pages = "1734-1741",
doi = "10.1016/j.apt.2018.04.008"
}

Pezo, L., Pezo, M. L., Jovanović, A., Čolović, R., Vukmirović, Đ., Banjac, V.,& Đuragić, O.. (2018). The joint mixing action of the static pre-mixer and the rotating drum mixer – Discrete element method approach. in Advanced Powder Technology, 29(7), 1734-1741.
https://doi.org/10.1016/j.apt.2018.04.008

Pezo L, Pezo ML, Jovanović A, Čolović R, Vukmirović Đ, Banjac V, Đuragić O. The joint mixing action of the static pre-mixer and the rotating drum mixer – Discrete element method approach. in Advanced Powder Technology. 2018;29(7):1734-1741.
doi:10.1016/j.apt.2018.04.008 .

Pezo, Lato, Pezo, Milada L., Jovanović, Aca, Čolović, Radmilo, Vukmirović, Đuro, Banjac, Vojislav, Đuragić, Olivera, "The joint mixing action of the static pre-mixer and the rotating drum mixer – Discrete element method approach" in Advanced Powder Technology, 29, no. 7 (2018):1734-1741,
https://doi.org/10.1016/j.apt.2018.04.008 . .