DOI Number : 10.5614/j.eng.technol.sci.2014.46.4.8
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A New Approach to Blending and Loading Problem of Molten Aluminum
Li Jianhua* & Wei Xing
School of Mechanical & Electronical Engineering, Lanzhou University of Technology, 287 Langongping Rd, Qilihe, Lanzhou 730050, China Email: li_jh@vip.sina.com
Abstract. 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.
Keywords: blending electrolyzer; chaos clone algorithm; distance of collecting path; electrolytic cell; process scheduling.
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