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| Optimization Composition Design of Phosphorus Cast Iron Based on Linear Programming |
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Received:March 01, 2017
Revised:March 07, 2017
Accepted:March 08, 2017
Published Online:June 19, 2017
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| DOI：doi：10.3969/j.issn.1007-7545.2017.07.010 |
| KeyWord:phosphorus cast iron; linear regression; linear programming; five elements; aluminum electrolysis; conductivity; thermal expansion coefficient |
| Author | Institution |
| LiangYudong |
中国铝业股份有限公司郑州研究院 |
| wanglijun |
北京有色金属研究总院 |
| NiuTingting |
中国铝业郑州有色金属研究院有限公司 |
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| Abstract: |
| Characteristic of phosphorus cast iron required for anode assembly of aluminum electrolytic cell is closely related to physical properties of its body material. Effects of content changes of five elements (C, Si, P, Mn, S) on conductivity and coefficient of thermal expansion of phosphorus cast iron were calculated with method of material thermodynamics. Linear regression function between electrical conductivity, thermal expansion coefficient and content of five elements, temperature was established. Component of phosphorus cast iron in one aluminum manufacture was optimized with optimization algorithm of linear programming. The maximum optimization rate of conductivity of phosphorus cast iron is 14.50%, and the optimization rate of thermal expansion coefficient is 5.99% after optimization. |
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