ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process

• Autorzy: Mihajlović I. , Đurić I. , Živković Ž.

Identyfikatory

DOI

10.2478/pjct-2014-0018

• Języki publikacji: EN

Abstrakty

EN

This paper presents the results of nonlinear statistical modeling of the bauxite leaching process, as part of Bayer technology for alumina production. Based on the data, collected during the year 2011 from the industrial production in the alumina factory Birač, Zvornik (Bosnia and Herzegovina), nonlinear statistical modeling of the industrial process was performed. The model was developed as an attempt to define the dependence of the Al2O3 degree of recovery as a function of input parameters of the leaching process: content of Al2O3, SiO2 and Fe2O3 in the bauxite, as well as content of Na2Ocaustic and Al2O3 in the starting sodium aluminate solution. As the statistical modeling tool, Adaptive Network Based Fuzzy Inference System (ANFIS) was used. The model, defined by the ANFIS methodology, expressed a high fitting level and accordingly can be used for the efficient prediction of the Al2O3 degree of recovery, as a function of the process inputs under the industrial conditions.

Słowa kluczowe

EN

leaching; bauxite; Bayer process; statistical modeling; ANFIS

• Wydawca: West Pomeranian University of Technology. Publishing House
• Czasopismo: Polish Journal of Chemical Technology
• Rocznik: 2014
• Tom: Vol. 16, nr 1
• Strony: 103--109
• Opis fizyczny: Bibliogr. 29 poz., tab., wykr., wz.

Twórcy

autor

Mihajlović I.

• University of Belgrade, Technical Faculty in Bor, Serbia Vojske Jugoslavije 12, 19210 Bor, Serbia

autor

Đurić I.

• University of Belgrade, Technical Faculty in Bor, Serbia Vojske Jugoslavije 12, 19210 Bor, Serbia

autor

Živković Ž.

• University of Belgrade, Technical Faculty in Bor, Serbia Vojske Jugoslavije 12, 19210 Bor, Serbia

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