Back to Search Start Over

THE APPLICATION OF FUZZY-TAGUCHI OPTIMIZATION MODEL FOR MULTI-RESPONSE BAYER PROCESS OF BAUXIT LEACHING.

THE APPLICATION OF FUZZY-TAGUCHI OPTIMIZATION MODEL FOR MULTI-RESPONSE BAYER PROCESS OF BAUXIT LEACHING.

Authors :
Živković, Živan
Lazić, Dragica
Nikolić, Djordje
Djordjevic, Predrag
Mihajlović, Ivan
Milošević, Isidora
Source :
Proceedings of the International May Conference on Strategic Management; May2015, p514-514, 1p
Publication Year :
2015

Abstract

This paper presents the results of multi-performance optimization model of the Bayer bauxite leaching process in aluminum production. Data was collected under the industrial conditions from alumina plant "Biroč" in Zvornik, Bosnia and Herzegovina. The leaching paramethers (temperature of leaching, leaching time and CaO supplement) were analzyed as influencing factors in multi-response optimization of process outputs (Al<subscript>2</subscript>O<subscript>3</subscript> losses, Al<subscript>2</subscript>O<subscript>3</subscript> overall losses, Na<subscript>2</subscript>O losses in autoclave sludge, as well as the utilization of Al<subscript>2</subscript>O<subscript>3</subscript> from the leaching of the sludge). The Taguchi orthogonal array (L16'), the signal-tonoise ratio (S/N), and ANOVA are used in this study to optimize the considered process inputs in regard to four measured process outputs. Furthermore, all S/N values in optimization model were fuzzified to obtain single universal output measure, which was than tested by ANOVA to determine the optimal set of input factors that could lead to the better efficiency of disscused process. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26200597
Database :
Complementary Index
Journal :
Proceedings of the International May Conference on Strategic Management
Publication Type :
Conference
Accession number :
108617619