Determination of operation parameters of a mineral processing study incorporating multiple regression analysis and multiobjective genetic algorithms

Basit Öğe Kaydı
dc.authorscopusid26434138200
dc.authorscopusid6506350539
dc.authorscopusid7005609281
dc.contributor.authorBirinci M.
dc.contributor.authorKumral M.
dc.contributor.authorSarikaya M.
dc.date.accessioned2024-08-04T20:04:07Z
dc.date.available2024-08-04T20:04:07Z
dc.date.issued2009
dc.departmentİnönü Üniversitesien_US
dc.descriptionDEMIR EXPORT CO.en_US
dc.description21st International Mining Congress and Exhibition of Turkey, IMCET 2009 -- 6 May 2009 through 8 May 2009 -- 110207en_US
dc.description.abstractThe design of a mineral processing plant dictates to determine optimal system parameters such as impeller speed, temperature, pH, process duration, solid % in pulp. The paper proposes a combination of multiple regression modelling and the multiobjective genetic algorithms (GA) to find the optimal system parameters simultaneously. In this research, impeller speed, process duration and solid % in pulp are considered as independent variables for the beneficiation of Al2O3 in pyrophyllite ore. Grade and electricity consumption are dependant variables. The multiple regression analysis is performed to relate dependant and independent variables to each other. The obtained models are used in optimisation procedure as objective functions. The first objective is to maximise the Al2O3 grade and the second one is to minimise electricity consumption. This is a multiobjective optimization problem and is solved by GA. The results showed that the proposed approach could be used to determine operation parameters in a mineral processing plant.en_US
dc.identifier.endpage390en_US
dc.identifier.isbn9789944897150
dc.identifier.scopus2-s2.0-84922932748en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage383en_US
dc.identifier.urihttps://hdl.handle.net/11616/92378
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherGrup Matbaaciliken_US
dc.relation.ispartofProceedings of the 21st International Mining Congress and Exhibition of Turkey, IMCET 2009en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAlgorithmsen_US
dc.subjectAluminumen_US
dc.subjectGenetic algorithmsen_US
dc.subjectImpellersen_US
dc.subjectMineralsen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectOptimal systemsen_US
dc.subjectOptimizationen_US
dc.subjectRegression analysisen_US
dc.subjectSilicate mineralsen_US
dc.subjectElectricity-consumptionen_US
dc.subjectIndependent variablesen_US
dc.subjectMineral processing plantsen_US
dc.subjectMulti-objective genetic algorithmen_US
dc.subjectMulti-objective optimization problemen_US
dc.subjectMultiple regression analysisen_US
dc.subjectMultiple regression modellingen_US
dc.subjectOptimisation proceduresen_US
dc.subjectParameter estimationen_US
dc.titleDetermination of operation parameters of a mineral processing study incorporating multiple regression analysis and multiobjective genetic algorithmsen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu