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.authorBanjac, Vojislav
dc.contributor.authorPezo, Lato
dc.contributor.authorPezo, Milada
dc.contributor.authorVukmirović, Đuro
dc.contributor.authorČolović, Dušica
dc.contributor.authorFišteš, Aleksandar
dc.contributor.authorČolović, Radmilo
dc.dateinfo:eu-repo/date/embargoEnd/2019-04-01
dc.date.accessioned2018-06-14T09:33:11Z
dc.date.available2018-06-14T09:33:11Z
dc.date.issued2017-03
dc.descriptionpeer-revieweden_US
dc.description.abstractIn 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.sponsorshipThis 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.identifier.citationBanjac, 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.2017.01.013en_US
dc.identifier.issn0921-8831
dc.identifier.urihttp://oa.fins.uns.ac.rs/handle/123456789/72
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/46012/RS//
dc.relation.ispartofseries001;0067
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectSunflower mealen_US
dc.subjectAir classificationen_US
dc.subjectHammer millen_US
dc.subjectCFDen_US
dc.subjectOptimizationen_US
dc.titleOptimization of the classification process in the zigzag air classifier for obtaining a high protein sunflower meal – Chemometric and CFD approachen_US
dc.title.alternative-en_US
dc.typeinfo:eu-repo/semantics/articleen_US

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