A New Approach to Blending and Loading Problem of Molten Aluminum | Zendy

LI Jian-hua | Zendy; Xing Wei | Zendy

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A New Approach to Blending and Loading Problem of Molten Aluminum

Author(s) -

LI Jian-hua,

Xing Wei

Publication year - 2014

Publication title -

journal of engineering and technological sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.202

H-Index - 14

eISSN - 2338-5502

pISSN - 2337-5779

DOI - 10.5614/j.eng.technol.sci.2014.46.4.8

Subject(s) - scheduling (production processes) , aluminium , electrolysis , electrolytic process , electrolyte , computer science , process engineering , mathematical optimization , materials science , engineering , metallurgy , mathematics , chemistry , electrode

The problems of blending electrolyzer and multi-constraint optimization of electrolytic aluminum scheduling in the electrolytic aluminum production process were addressed. Based on a mathematical model analysis, a novel hybrid optimization algorithm is proposed for optimization of blending together the molten aluminum in different electrolytic cells. An affinity degree function was designed to represent the path of aluminum scheduling. The mutation operators were designed to implement the transformation of electrolyzer combination and change the route of loading. A typical optimization example from an aluminum plant in northwest China is given in this paper, the results of which demonstrate the effectiveness of the proposed method

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