A Genetic Algorithm Application to Minimize Pig Iron Cost
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概要
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A new mathematical model for sinter ingredients and BF burdens optimization was proposed aiming to reduce hot metal cost, considering the binary basicity (CaO/SiO2) and molar ratio of MgO/Al2O3 of blast furnace slag, sinter composition as the constraints. To solve the optimization model, Genetic algorithm was adopted. The results of the examples indicate that the model is effective to reduce hot metal cost while guaranteeing properties of sinter and BF slag. And the minimum cost of hot metal is attained in optimizing both of sinter ingredients and BF burdens at the same time.
著者
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Zhang Tao
State Key Laboratory For Corrosion And Protection Institute Of Metal Research Cas
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REN Shan
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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ZHANG Jianliang
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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SU Buxin
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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Zhang Tao
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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Cao Weichao
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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Cao Weichao
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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SU Buxin
State Key Laboratory of Advanced Metallurgy, University of Science & Technology Beijing
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