Vukmirović, Đuro

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  • Vukmirović, Đuro (2)
Projects

Author's Bibliography

The joint mixing action of the static pre-mixer and the rotating drum mixer – Discrete element method approach

Pezo, Lato; Pezo, Milada L.; Jovanović, Aca; Čolović, Radmilo; Vukmirović, Đuro; Banjac, Vojislav; Đuragić, Olivera

(2018)

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  - http://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 . .
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Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal - Chemometric and CFD approach

Banjac, Vojislav; Pezo, Lato; Pezo, Milada L.; Vukmirović, Đuro; Colovic, Dusica; Fistes, Aleksandar; Čolović, Radmilo

(2017)

TY  - JOUR
AU  - Banjac, Vojislav
AU  - Pezo, Lato
AU  - Pezo, Milada L.
AU  - Vukmirović, Đuro
AU  - Colovic, Dusica
AU  - Fistes, Aleksandar
AU  - Čolović, Radmilo
PY  - 2017
UR  - http://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 Colovic, Dusica and Fistes, 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., Colovic, D., Fistes, 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, Colovic D, Fistes 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, Colovic, Dusica, Fistes, 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 . .
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