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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

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dc.contributor.author Banjac, Vojislav
dc.contributor.author Pezo, Lato
dc.contributor.author Pezo, Milada
dc.contributor.author Vukmirović, Đuro
dc.contributor.author Čolović, Dušica
dc.contributor.author Fišteš, Aleksandar
dc.contributor.author Čolović, Radmilo
dc.date info:eu-repo/date/embargoEnd/2019-04-01
dc.date.accessioned 2018-06-14T09:33:11Z
dc.date.available 2018-06-14T09:33:11Z
dc.date.issued 2017-03
dc.identifier.citation Banjac, V., Pezo, L., Pezo, M., 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. Advanced Powder Technology, 28, 3, 1069–1078. DOI: 10.1016/j.apt.2017.01.013 en_US
dc.identifier.issn 0921-8831
dc.identifier.uri http://oa.fins.uns.ac.rs/handle/123456789/72
dc.description peer-reviewed en_US
dc.description.abstract In this study, sunflower meal is ground by a hammer mill after which air zigzag gravitational air classifieris 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 m3/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 incoarse fractions of sunflower meal obtained at same air flow, and at the same time decreased matchingfraction 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 m3/hand 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. en_US
dc.description.sponsorship This work is a part of Integrated and Interdisciplinary Research Project No III 46012, funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia. en_US
dc.language.iso en en_US
dc.publisher ELSEVIER en_US
dc.relation info:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/46012/RS//
dc.relation.ispartofseries 001;0067
dc.rights info:eu-repo/semantics/embargoedAccess
dc.subject Sunflower meal en_US
dc.subject Air classification en_US
dc.subject Hammer mill en_US
dc.subject CFD en_US
dc.subject Optimization en_US
dc.title Optimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal – Chemometric and CFD approach en_US
dc.title.alternative - en_US
dc.type info:eu-repo/semantics/article en_US


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