PSO Based Steel Rolling Process Optimization

Jun Jun Yang; Jia Chuan Shi; Wen Zhang; Li Ping Liang; Pei Jian Zhao

doi:10.4028/www.scientific.net/AMR.346.172

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 346PSO Based Steel Rolling Process Optimization

PSO Based Steel Rolling Process Optimization

Abstract:

Based on the analysis of the rolling process in iron and steel enterprises, an optimal load distribution model is established for rolling mills. The objective function is to minimize the total energy consumption. The equipment and process constraints are considered. The particle swarm optimization (PSO) is employed to get the optimal rolling reductions. The simulation of a six-frame strip demonstrates the feasibility of the proposed method in Jinan Iron & Steel Group. The experimental result shows that the proposed method is efficiency in the optimal load distribution problems.

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Periodical:

Advanced Materials Research (Volume 346)

Pages:

172-178

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.346.172

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Online since:

September 2011

Authors:

Jun Jun Yang, Jia Chuan Shi, Wen Zhang, Li Ping Liang, Pei Jian Zhao

Keywords:

Load Distribution of Rolling Mill, Particle Swarm Optimization Algorithm (PSO), Steel Rolling

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