ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process
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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 defi ne 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, defi ned by the ANFIS methodology, expressed a high fi tting level and accordingly can be used for the effi c...ient prediction of the Al2O3 degree of recovery, as a function of the process inputs under the industrial conditions.
Кључне речи:
Leaching / bauxite / Bayer process / statistical modeling / ANFISИзвор:
POLISH JOURNAL OF CHEMICAL TECHNOLOGY, 2014, 16, 1, 103-109Издавач:
- West Pomeranian University of Technology, Szczecin, Poland
Институција/група
Mašinski fakultetTY - JOUR AU - Mihajlović, Ivan AU - Đurić, Isidora AU - Živković, Živan PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5444 AB - 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 defi ne 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, defi ned by the ANFIS methodology, expressed a high fi tting level and accordingly can be used for the effi cient prediction of the Al2O3 degree of recovery, as a function of the process inputs under the industrial conditions. PB - West Pomeranian University of Technology, Szczecin, Poland T2 - POLISH JOURNAL OF CHEMICAL TECHNOLOGY T1 - ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process EP - 109 IS - 1 SP - 103 VL - 16 DO - 10.2478/pjct-2014-0018 ER -
@article{ author = "Mihajlović, Ivan and Đurić, Isidora and Živković, Živan", year = "2014", abstract = "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 defi ne 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, defi ned by the ANFIS methodology, expressed a high fi tting level and accordingly can be used for the effi cient prediction of the Al2O3 degree of recovery, as a function of the process inputs under the industrial conditions.", publisher = "West Pomeranian University of Technology, Szczecin, Poland", journal = "POLISH JOURNAL OF CHEMICAL TECHNOLOGY", title = "ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process", pages = "109-103", number = "1", volume = "16", doi = "10.2478/pjct-2014-0018" }
Mihajlović, I., Đurić, I.,& Živković, Ž.. (2014). ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process. in POLISH JOURNAL OF CHEMICAL TECHNOLOGY West Pomeranian University of Technology, Szczecin, Poland., 16(1), 103-109. https://doi.org/10.2478/pjct-2014-0018
Mihajlović I, Đurić I, Živković Ž. ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process. in POLISH JOURNAL OF CHEMICAL TECHNOLOGY. 2014;16(1):103-109. doi:10.2478/pjct-2014-0018 .
Mihajlović, Ivan, Đurić, Isidora, Živković, Živan, "ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process" in POLISH JOURNAL OF CHEMICAL TECHNOLOGY, 16, no. 1 (2014):103-109, https://doi.org/10.2478/pjct-2014-0018 . .