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| Load Distribution Optimization on Tandem Cold Rolling Mill Based on Improved Differential Evolution Algorithm |
| YANG Jing-ming, HU Zi-yu, CHE Hai-jun, SUN Hao, ZHAO Xin-qiu |
| Key Laboratory of Industrial Computer Control Engineering of Hebei Province， Yanshan University， Qinhuangdao 066004， Hebei， China |
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Abstract To reasonably make schedules of the load distribution of tandem cold rolling mill, slip factor, power margin and minimum energy consumption were selected as the optimization functions. The improved differential evolution algorithm was used to search the Pareto front, which reduces redundant iterations and decreases computation time. Different load distribution strategies based on different objectives were generated from the Pareto front to satisfy the requirements under different operating conditions. The simulation shows the proposed algorithm covers the front fast and evenly and generates different load distribution strategies based on different objectives. Compared with the original schedule, the proposed method reduces the probability of slippage and the rolling power.
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Received: 08 April 2014
Published: 02 December 2014
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2014, Vol. 49 
