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  - 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  - 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, Milada L.
AU  - Pezo, Lato
AU  - Jovanović, Aca
AU  - Lončar, Biljana
AU  - Čolović, Radmilo
PY  - 2016
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/1090
AB  - DEM/CFD (Discrete Element Method/Computational Fluid Dynamic) approach was used to develop a three dimensional model of fluid flow and mixing process of solid particles within the revolving static mixer, type Komax. Static mixers are widely used in process industry, food industry, pharmaceutical and chemical industry. Mixing process adds significant value to the final product and it can be regarded as a key process. The quality and the price of the product often depend on mixing efficiency. Both design and operation of the mixing unit itself have a strong influence on the quality produced. In this paper, DEM is used for modeling granular flow of zeolite spheres in the revolving Komax static mixer and CFD method was used for modeling fluid flow through the Eulerian multiphase model. Coupling of these two methods provides reliable analysis of particle motion and flow pattern of the working fluid. The objective of this paper is to predict the behavior of particles after several rotations of the revolving static mixer. This type of device is used for premixing action before the main mixing process, for significant reduction of mixing time and energy consumption. This type of premixing action is not investigated in detail in the open literature. The results of the numerical simulation are compared with appropriate experimental results. The special design revolving static mixer, made of transparent Plexiglas was used for this experiment. Mixing quality was examined by RSD (relative standard deviation) criterion. Application of this model provides the optimization of the number of revolutions and geometrical parameters of mixing process taking into account the quality of the mixing process. (c) 2016 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
PB  - Elsevier
T2  - Chemical Engineering Research and Design
T1  - DEM/CFD approach for modeling granular flow in the revolving static mixer
VL  - 109
SP  - 317
EP  - 326
DO  - 10.1016/j.cherd.2016.02.003
ER  - 

@article{
author = "Pezo, Milada L. and Pezo, Lato and Jovanović, Aca and Lončar, Biljana and Čolović, Radmilo",
year = "2016",
abstract = "DEM/CFD (Discrete Element Method/Computational Fluid Dynamic) approach was used to develop a three dimensional model of fluid flow and mixing process of solid particles within the revolving static mixer, type Komax. Static mixers are widely used in process industry, food industry, pharmaceutical and chemical industry. Mixing process adds significant value to the final product and it can be regarded as a key process. The quality and the price of the product often depend on mixing efficiency. Both design and operation of the mixing unit itself have a strong influence on the quality produced. In this paper, DEM is used for modeling granular flow of zeolite spheres in the revolving Komax static mixer and CFD method was used for modeling fluid flow through the Eulerian multiphase model. Coupling of these two methods provides reliable analysis of particle motion and flow pattern of the working fluid. The objective of this paper is to predict the behavior of particles after several rotations of the revolving static mixer. This type of device is used for premixing action before the main mixing process, for significant reduction of mixing time and energy consumption. This type of premixing action is not investigated in detail in the open literature. The results of the numerical simulation are compared with appropriate experimental results. The special design revolving static mixer, made of transparent Plexiglas was used for this experiment. Mixing quality was examined by RSD (relative standard deviation) criterion. Application of this model provides the optimization of the number of revolutions and geometrical parameters of mixing process taking into account the quality of the mixing process. (c) 2016 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.",
publisher = "Elsevier",
journal = "Chemical Engineering Research and Design",
title = "DEM/CFD approach for modeling granular flow in the revolving static mixer",
volume = "109",
pages = "317-326",
doi = "10.1016/j.cherd.2016.02.003"
}

Pezo, M. L., Pezo, L., Jovanović, A., Lončar, B.,& Čolović, R.. (2016). DEM/CFD approach for modeling granular flow in the revolving static mixer. in Chemical Engineering Research and Design
Elsevier., 109, 317-326.
https://doi.org/10.1016/j.cherd.2016.02.003

Pezo ML, Pezo L, Jovanović A, Lončar B, Čolović R. DEM/CFD approach for modeling granular flow in the revolving static mixer. in Chemical Engineering Research and Design. 2016;109:317-326.
doi:10.1016/j.cherd.2016.02.003 .

Pezo, Milada L., Pezo, Lato, Jovanović, Aca, Lončar, Biljana, Čolović, Radmilo, "DEM/CFD approach for modeling granular flow in the revolving static mixer" in Chemical Engineering Research and Design, 109 (2016):317-326,
https://doi.org/10.1016/j.cherd.2016.02.003 . .

TY  - JOUR
AU  - Jovanović, Aca
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Lončar, Biljana
AU  - Nićetin, Milica
AU  - Stanojlović, Sanja
AU  - Lević, Ljubinko
PY  - 2015
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11184
AB  - The mixing process greatly influence the quality of the intermediate and/or the final product, moreover, the parameters of the mixing process and the design of used equipment have a strong impact on mixing efficiency, the quality and the price of the product. In this article, Discrete Element Method is used for modeling of granular flow in multiple static mixer applications (Komax and Ross configurations were utilized). Computational Fluid Dynamic method was chosen for fluid flow modeling, using Eulerian multiphase model. Coupling of these two methods provides reliable, sufficiently correct and adequate results of proposed model compared to experimental measurements. The aim of this article is to predict the behavior of granules in different mixer configuration and to optimize parameters of the mixing process taking into account the duration of the mixing process and the quality of mixture, as well as the price of final product.
AB  - Proces mešanja veoma utiče na kvalitet krajnjeg poluproizvoda i/ili krajnjeg proizvoda, a parametri procesa mešanja i dizajn opreme veoma utiču na efikasnost mešanja, kvalitet proizvoda i cenu proizvoda. U ovom radu, prikazana je upotreba metode diskretnih elemenata (engl. Discrete Element Method - DEM) na modelovanje mešanja granula u različitim konfiguracijama statičkih mešača (korišćene su različite Komax i Ross konfiguracije za mešanje). Za modelovanje protoka fluida primenjena je metoda računske dinamike fluida (engl. Computational Fluid Dynamic - CFD), korišćenjem Ojlerovog višefaznog modela. Povezivanjem rezultata ove dve metode dobija se pouzdan, dovoljno tačan i adekvatan model koji daje rezultate koji odgovaraju eksperimentalnim merenjima. Praćene su i analizirane trajektorije, brzine i ubrzanja čestica, u cilju procene kvaliteta procesa mešanja. Dobro poznati kriterijum za kvalitet mešanja, pod nazivom relativna standardna devijacija (RSD) je korišćen za ovu svrhu. Optimizacija dimenzija i parametara mešanja u statičkoj mešalici je izvedena korišćenjem matematičkog modeliranja. Cilj ovog rada je bio da se predvidi ponašanje granulamog materijala u različitim konfiguracijama mešalica i da optimizuje parametre procesa uzimajući u obzir trajanje procesa mešanja, kvalitet mešavine i cenu finalnog proizvoda mešanja. U istraživanju je primećeno da su Komax elementi primenljiviji, u poređenju sa Ross elementima, posebno kada je visina instalacije mala. Međutim, upotreba Ross je finansijski prihvatljivija, zbog njegove jednostavnije geometrije. Dodatna pregrada sa kvadratnim otvorima, koja se postavlja na izlazu iz statičke mešalice, koristi se da bi se umirilo kretanje granula na obodu cevi, kao i da smanji segregaciju granula.
T2  - Journal on processing and energy in agriculture
T1  - Granular flow in static mixers - DEM/CFD approach
T1  - Protok granulisanog materijala u statičkoj mešalici, DEM/CFD pristup
VL  - 19
IS  - 2
SP  - 98
EP  - 101
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11184
ER  - 

@article{
author = "Jovanović, Aca and Pezo, Lato and Pezo, Milada and Lončar, Biljana and Nićetin, Milica and Stanojlović, Sanja and Lević, Ljubinko",
year = "2015",
abstract = "The mixing process greatly influence the quality of the intermediate and/or the final product, moreover, the parameters of the mixing process and the design of used equipment have a strong impact on mixing efficiency, the quality and the price of the product. In this article, Discrete Element Method is used for modeling of granular flow in multiple static mixer applications (Komax and Ross configurations were utilized). Computational Fluid Dynamic method was chosen for fluid flow modeling, using Eulerian multiphase model. Coupling of these two methods provides reliable, sufficiently correct and adequate results of proposed model compared to experimental measurements. The aim of this article is to predict the behavior of granules in different mixer configuration and to optimize parameters of the mixing process taking into account the duration of the mixing process and the quality of mixture, as well as the price of final product., Proces mešanja veoma utiče na kvalitet krajnjeg poluproizvoda i/ili krajnjeg proizvoda, a parametri procesa mešanja i dizajn opreme veoma utiču na efikasnost mešanja, kvalitet proizvoda i cenu proizvoda. U ovom radu, prikazana je upotreba metode diskretnih elemenata (engl. Discrete Element Method - DEM) na modelovanje mešanja granula u različitim konfiguracijama statičkih mešača (korišćene su različite Komax i Ross konfiguracije za mešanje). Za modelovanje protoka fluida primenjena je metoda računske dinamike fluida (engl. Computational Fluid Dynamic - CFD), korišćenjem Ojlerovog višefaznog modela. Povezivanjem rezultata ove dve metode dobija se pouzdan, dovoljno tačan i adekvatan model koji daje rezultate koji odgovaraju eksperimentalnim merenjima. Praćene su i analizirane trajektorije, brzine i ubrzanja čestica, u cilju procene kvaliteta procesa mešanja. Dobro poznati kriterijum za kvalitet mešanja, pod nazivom relativna standardna devijacija (RSD) je korišćen za ovu svrhu. Optimizacija dimenzija i parametara mešanja u statičkoj mešalici je izvedena korišćenjem matematičkog modeliranja. Cilj ovog rada je bio da se predvidi ponašanje granulamog materijala u različitim konfiguracijama mešalica i da optimizuje parametre procesa uzimajući u obzir trajanje procesa mešanja, kvalitet mešavine i cenu finalnog proizvoda mešanja. U istraživanju je primećeno da su Komax elementi primenljiviji, u poređenju sa Ross elementima, posebno kada je visina instalacije mala. Međutim, upotreba Ross je finansijski prihvatljivija, zbog njegove jednostavnije geometrije. Dodatna pregrada sa kvadratnim otvorima, koja se postavlja na izlazu iz statičke mešalice, koristi se da bi se umirilo kretanje granula na obodu cevi, kao i da smanji segregaciju granula.",
journal = "Journal on processing and energy in agriculture",
title = "Granular flow in static mixers - DEM/CFD approach, Protok granulisanog materijala u statičkoj mešalici, DEM/CFD pristup",
volume = "19",
number = "2",
pages = "98-101",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11184"
}

Jovanović, A., Pezo, L., Pezo, M., Lončar, B., Nićetin, M., Stanojlović, S.,& Lević, L.. (2015). Granular flow in static mixers - DEM/CFD approach. in Journal on processing and energy in agriculture, 19(2), 98-101.
https://hdl.handle.net/21.15107/rcub_vinar_11184

Jovanović A, Pezo L, Pezo M, Lončar B, Nićetin M, Stanojlović S, Lević L. Granular flow in static mixers - DEM/CFD approach. in Journal on processing and energy in agriculture. 2015;19(2):98-101.
https://hdl.handle.net/21.15107/rcub_vinar_11184 .

Jovanović, Aca, Pezo, Lato, Pezo, Milada, Lončar, Biljana, Nićetin, Milica, Stanojlović, Sanja, Lević, Ljubinko, "Granular flow in static mixers - DEM/CFD approach" in Journal on processing and energy in agriculture, 19, no. 2 (2015):98-101,
https://hdl.handle.net/21.15107/rcub_vinar_11184 .

TY  - JOUR
AU  - Pezo, Lato
AU  - Jovanović, Aca
AU  - Pezo, Milada L.
AU  - Čolović, Radmilo
AU  - Lončar, Biljana
PY  - 2015
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/755
AB  - Screw conveyors are widely used in the food industry, building construction and mining companies, chemical, agricultural and processing industries, mostly for elevating and/or transporting bulk materials over short to medium distances. Despite their apparent simplicity, the improvement of the transport parameters is a very demanding task and designers usually have to rely on data obtained from empirical investigations. In this paper, fifteen horizontal single-pitch screw conveyors with modified geometry and the different lengths were investigated for premixing action, during the transport of materials. All investigations were performed experimentally and numerically, by using Discrete Element Method (DEM). The influences of screw length, observed geometry variations and different types of screw design, on the performances of the screw conveyor-mixer during material transport were explored. The auxiliary mixing action (used to improve the mixing process) was achieved during the transport of the material. The geometry of the screw conveyor is changed by adding three complementary helices oriented in the same or the opposite direction from screw blades. The particles of the material being transported tumble down from the top of the helix to the next free surface, and that segment of helix was used for additional mixing action. According to experiments and DEM analysis, the particle path length is increased, with the observed modification of screw conveyor, and the improved geometry could be determined for increasing the quality of mixing. (C) 2015 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
T2  - Advanced Powder Technology
T1  - Modified screw conveyor-mixers - Discrete element modeling approach
VL  - 26
IS  - 5
SP  - 1391
EP  - 1399
DO  - 10.1016/j.apt.2015.07.016
ER  - 

@article{
author = "Pezo, Lato and Jovanović, Aca and Pezo, Milada L. and Čolović, Radmilo and Lončar, Biljana",
year = "2015",
abstract = "Screw conveyors are widely used in the food industry, building construction and mining companies, chemical, agricultural and processing industries, mostly for elevating and/or transporting bulk materials over short to medium distances. Despite their apparent simplicity, the improvement of the transport parameters is a very demanding task and designers usually have to rely on data obtained from empirical investigations. In this paper, fifteen horizontal single-pitch screw conveyors with modified geometry and the different lengths were investigated for premixing action, during the transport of materials. All investigations were performed experimentally and numerically, by using Discrete Element Method (DEM). The influences of screw length, observed geometry variations and different types of screw design, on the performances of the screw conveyor-mixer during material transport were explored. The auxiliary mixing action (used to improve the mixing process) was achieved during the transport of the material. The geometry of the screw conveyor is changed by adding three complementary helices oriented in the same or the opposite direction from screw blades. The particles of the material being transported tumble down from the top of the helix to the next free surface, and that segment of helix was used for additional mixing action. According to experiments and DEM analysis, the particle path length is increased, with the observed modification of screw conveyor, and the improved geometry could be determined for increasing the quality of mixing. (C) 2015 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.",
journal = "Advanced Powder Technology",
title = "Modified screw conveyor-mixers - Discrete element modeling approach",
volume = "26",
number = "5",
pages = "1391-1399",
doi = "10.1016/j.apt.2015.07.016"
}

Pezo, L., Jovanović, A., Pezo, M. L., Čolović, R.,& Lončar, B.. (2015). Modified screw conveyor-mixers - Discrete element modeling approach. in Advanced Powder Technology, 26(5), 1391-1399.
https://doi.org/10.1016/j.apt.2015.07.016

Pezo L, Jovanović A, Pezo ML, Čolović R, Lončar B. Modified screw conveyor-mixers - Discrete element modeling approach. in Advanced Powder Technology. 2015;26(5):1391-1399.
doi:10.1016/j.apt.2015.07.016 .

Pezo, Lato, Jovanović, Aca, Pezo, Milada L., Čolović, Radmilo, Lončar, Biljana, "Modified screw conveyor-mixers - Discrete element modeling approach" in Advanced Powder Technology, 26, no. 5 (2015):1391-1399,
https://doi.org/10.1016/j.apt.2015.07.016 . .