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An optimization solution to roll shifting strategy for alternately rolling campaign is presented. All the strips in a rolling campaign are divided into narrow strips and wide ones, and shifting position of narrow strips is obtained by the recursive method, and then shifting position of wide strips is optimized by NSGA-II which is a multiobjective genetic algorithm. For wide strips, a multi-objective optimization model of roll shifting strategy is pro posed, which takes 3 wear contour factors including edge smoothness, body smoothness and edge drop as optimization objectives. The Pareto optimal front of roll shifting strategy can be gained quickly by NSGA-II, which suggests a series of alternative solutions to roll shifting strategy. Analysis shows that the conflict exists among the 3 objectives. The final optimal solution is selected from the Pareto optimal solutions by the weighted-sum decision-making method. Industrial production proves the validity of the solution, and it can improve strip profile of alternately rolling, reduce strip edge wave, and extend the rolling miles of rolling campaigns.

参考文献

[1] 张清东,何安瑞,黄纶伟,陈先霖,魏钢城,黄四清.板形控制与热轧带钢自由规程轧制[J].钢铁,2001(02):72-74.
[2] 徐宁,刘红艳,徐致让.WRS轧机工作辊横移方案及辊系变形研究[J].安徽工业大学学报(自然科学版),2006(04):410-412.
[3] KONG Xiang-wei;XU Jian-zhong;WANG Guo-dong et al.Study of Work Roll Shift Method on Hot Strip Mill[J].Iron & Steel,2002,37(Supplement):618.
[4] 邵健,何安瑞,杨荃,郭宏伟.热轧工作辊变行程窜辊策略[J].北京科技大学学报,2011(01):93-97.
[5] 李维刚,刘相华,易剑,郭朝晖.热轧带钢变行程窜辊策略优化模型[J].钢铁,2012(03):46-50.
[6] HU Guang-hao,MAO Zhi-zhong,HE Da-kuo.Multi-objective optimization for leaching process using improved two-stage guide PSO algorithm[J].中南大学学报(英文版),2011(04):1200-1210.
[7] CHEN Y;Cartmell M P.Multi-Objective Optimization on Motorised Momentum Exchange Tether for Payload Orbital Transfer[A].Piscataway:IEEE Computer Society,2007:987.
[8] Srinivas N;Deb K .Multi Objective Optimization Using Non Dominated Sorting in Genetic Algorithms[J].Evolutionary Computation,1994,2(03):221.
[9] Kalyanmoy Deb;Amrit Pratap;Sanler Agarwal .A Fast Multi- Objective Genetic Algorithms:NSGA-II[J].IEEE Transac tion on Evolutionary Computation,2002,6(02):182.
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