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  - 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  - 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 . .

TY  - JOUR
AU  - Banjac, Vojislav
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Vukmirović, Đuro
AU  - Čolović, Dušica
AU  - Fišteš, Aleksandar
AU  - Čolović, Radmilo
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/1492
AB  - In this study, sunflower meal is ground by a hammer mill after which air zigzag gravitational air classifier is used for separating sunflower hulls from the kernels in order to obtain protein rich fractions. Three hammer mill sieves with sieve openings diameter of 3, 2 and 1 mm were used, while three air flows (5, 8.7 and 12.5 m(3)/h) and three feed rates (30%, 60% an 90% of bowl feeder oscillation maximum rate) were varied during air classification process. For describing the effects of the test variables on the observed responses Principal Component Analysis, Standard Score analysis and Response Surface Methodology were used. Beside experimental investigations, CFD model was used for numerical optimization of sunflower meal air classification process. Air classification of hammer milled sunflower meal resulted in coarse fractions enriched in protein content. The decrease in sieve openings diameter of the hammer mill sieve increased protein content in coarse fractions of sunflower meal obtained at same air flow, and at the same time decreased matching fraction yield. Increase in air flow lead to the increase in protein content along the same hammer mill sieve. Standard score analysis showed that optimum values for protein content and ratio of coarse and fine fractions have been obtained by using a sieve with 1 mm opening diameter, air flow of 12.5 m(3)/h and 60% of the maximum feeder rate. Fraction ratio and protein content were mostly affected by the linear term of air flow and the sieve openings diameter of the hammer mill sieve in the Second Order Polynomial model. The main focus of CFD analysis was on the particle simulation and the evaluation of the separation efficiency of the zigzag classifier. (C) 2017 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  - Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal - Chemometric and CFD approach
VL  - 28
IS  - 3
SP  - 1069
EP  - 1078
DO  - 10.1016/j.apt.2017.01.013
ER  - 

@article{
author = "Banjac, Vojislav and Pezo, Lato and Pezo, Milada L. and Vukmirović, Đuro and Čolović, Dušica and Fišteš, Aleksandar and Čolović, Radmilo",
year = "2017",
abstract = "In this study, sunflower meal is ground by a hammer mill after which air zigzag gravitational air classifier is used for separating sunflower hulls from the kernels in order to obtain protein rich fractions. Three hammer mill sieves with sieve openings diameter of 3, 2 and 1 mm were used, while three air flows (5, 8.7 and 12.5 m(3)/h) and three feed rates (30%, 60% an 90% of bowl feeder oscillation maximum rate) were varied during air classification process. For describing the effects of the test variables on the observed responses Principal Component Analysis, Standard Score analysis and Response Surface Methodology were used. Beside experimental investigations, CFD model was used for numerical optimization of sunflower meal air classification process. Air classification of hammer milled sunflower meal resulted in coarse fractions enriched in protein content. The decrease in sieve openings diameter of the hammer mill sieve increased protein content in coarse fractions of sunflower meal obtained at same air flow, and at the same time decreased matching fraction yield. Increase in air flow lead to the increase in protein content along the same hammer mill sieve. Standard score analysis showed that optimum values for protein content and ratio of coarse and fine fractions have been obtained by using a sieve with 1 mm opening diameter, air flow of 12.5 m(3)/h and 60% of the maximum feeder rate. Fraction ratio and protein content were mostly affected by the linear term of air flow and the sieve openings diameter of the hammer mill sieve in the Second Order Polynomial model. The main focus of CFD analysis was on the particle simulation and the evaluation of the separation efficiency of the zigzag classifier. (C) 2017 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 = "Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal - Chemometric and CFD approach",
volume = "28",
number = "3",
pages = "1069-1078",
doi = "10.1016/j.apt.2017.01.013"
}

Banjac, V., Pezo, L., Pezo, M. L., Vukmirović, Đ., Čolović, D., Fišteš, A.,& Čolović, R.. (2017). Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal - Chemometric and CFD approach. in Advanced Powder Technology, 28(3), 1069-1078.
https://doi.org/10.1016/j.apt.2017.01.013

Banjac V, Pezo L, Pezo ML, Vukmirović Đ, Čolović D, Fišteš A, Čolović R. Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal - Chemometric and CFD approach. in Advanced Powder Technology. 2017;28(3):1069-1078.
doi:10.1016/j.apt.2017.01.013 .

Banjac, Vojislav, Pezo, Lato, Pezo, Milada L., Vukmirović, Đuro, Čolović, Dušica, Fišteš, Aleksandar, Čolović, Radmilo, "Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal - Chemometric and CFD approach" in Advanced Powder Technology, 28, no. 3 (2017):1069-1078,
https://doi.org/10.1016/j.apt.2017.01.013 . .