An attempt of optimization of zinc production line

• Autorzy: Jarosz P. , Kusiak J. , Małecki S. , Morkisz P. , Oprocha P. , Pietrucha W. , Sztangret Ł.

Identyfikatory

DOI

10.1016/j.acme.2018.02.011

• Języki publikacji: EN

Abstrakty

EN

The goal of the research is an attempt of optimization of the hydrometallurgy-based zinc production line, consisting of three stages: mixing of raw materials, oxidative roasting and leaching. The output product of one stage is an input to the next stage. Goal of mixing is preparation of zinc concentrates mix on the basis of zinc concentrates originated from different mines. The output semi-product of the next stage, the oxidative roasting process, is calcine, which is the input of the leaching. The result of the leaching is zinc sulfate solution and the goal of leaching is to carry out the maximum amount of zinc to solution. The preliminary step of any optimization is modeling of the analyzed processes. Modeling of considered three stages of zinc production line, based on the real industrial data of one of zinc production plants, was performed using different techniques. The elaborated models were the basis of the optimization for given objective functions of each of the production stages. The optimization methodology of multi-stage processes developed by the authors was applied. Obtained results of modeling and optimization are presented.

Słowa kluczowe

EN

hydrometallurgy-based zinc production; optimization; ANN modeling

PL

produkcja cynku; hydrometalurgia; optymalizacja

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2018
• Tom: Vol. 18, no. 4
• Strony: 1116--1122
• Opis fizyczny: Bibliogr. 8 poz., rys., tab., wykr.

Twórcy

autor

Jarosz P.

• Faculty of Non-Ferrous Metals, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Kusiak J.

• Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Małecki S.

• Faculty of Non-Ferrous Metals, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Morkisz P.

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Oprocha P.

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Pietrucha W.

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Sztangret Ł.

• Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

Bibliografia

• [1] F. Habashi, Handbook of Extractive Metallurgy, Wiley-VCH, Weinheim, 1997.
• [2] J. Nyberg, Characterisation and Control of the Zinc Roasting Process, (Ph.D. thesis), University of Oulu, 2004.
• [3] P. Jarosz, J. Kusiak, S. Małecki, P. Oprocha, Ł. Sztangret, M. Wilkus, A methodology for optimization in multistage industrial processes: a pilot study, Math. Probl. Eng. 1 (2015) 1–10.
• [4] Ł. Sztangret, Ł. Rauch, J. Kusiak, P. Jarosz, S. Małecki, Modeling of the oxidizing roasting process of zinc sulphide concentrates using artificial neural networks, Comput. Methods Mater. Sci. 11 (2011) 122–127.
• [5] W. Duch, J. Korbicz, L. Rutkowski, R. Tadeusiewicz, Biocybernetyka i inżynieria biomedyczna: Sieci neuronowe, Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2000 (In Polish).
• [6] J. Kusiak, Ł. Sztangret, M. Pietrzyk, Effective strategies of metamodelling of industrial metallurgical processes, Adv. Eng. Softw. 89 (2015) 90–97.
• [7] A.D. Souza, P.S. Pina, V.A. Leão, C.A. Silva, P.F. Siqueira, The leaching kinetics of a zinc sulphide concentrate in acid ferric sulphate, Hydrometallurgy 89 (1–2) (2007) 72–81.
• [8] K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons, Chichester, 2001.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019)