基于遗传算法的不锈钢冷连轧机轧制规程优化

doi:10.13228/j.boyuan.issn0449-749x.20230045

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Abstract Cold rolled stainless steel is part of the high-end fine steel, and its production process control system is one of the most complex industrial control systems, with high system control accuracy, short dynamic response time, fast rolling speed and many process parameters. In the stainless steel cold rolling process, the reasonable rolling schedule is the basis of guaranteeing the quality and production efficiency. The optimization of rolling schedule is an effective way to save energy and reduce carbon in China′s iron and steel enterprises, which has become a research hotspot in the iron and steel industry. And the model accuracy of the process control system will not only affect the dimensional control accuracy of the product, but also affect the R&D and expansion of high-end products and intelligent transformation of cold rolling enterprises. In order to improve the product quality accuracy and reduce the total energy consumption in the stainless steel cold rolling process, the traditional load distribution method and the calculation principle of rolling schedule were deeply studied. The first set of seven-stand stainless steel tandem cold rolling mill in the world was taken as the research object, and an objective function structure form containing the target term and the penalty term was designed. The rolling power balance, rolling force balance, reasonable reduction distribution, low rolling energy consumption and good strip shape were selected as the goals to construct a total objective function. The rolling schedule of typical product in an 850 mm stainless steel cold rolling mill is optimized by genetic algorithm, and compared with the rolling schedule solved by proportional load distribution method and Nelder-Mead simplex algorithm. Thus, the optimal cold rolling schedule for stainless steel is determined. The results show that, the genetic algorithm realizes the efficient solution of the established objective function. The rolling schedule can be optimized selectively by adjusting the weight coefficient of the objective function. The calculation precision, convergence speed and stability of genetic algorithm for optimization of rolling schedule can meet the requirements of on-line control, which lays a solid foundation for the production of high quality cold stainless steel products.

Key words： stainless steel tandem cold rolling rolling schedule multi-objective optimization genetic algorithm

Received: 02 February 2023

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	ZHANG Xin
	CHEN Shuzong
	LI Xu
	SUN Jie
	MEI Ruibin
	WANG Xiaoyu

Cite this article:

ZHANG Xin,CHEN Shuzong,LI Xu等. Optimization of tandem cold rolling schedule for stainless steel strip based on genetic algorithm[J]. Iron and Steel, 2023, 58(7): 99-105.

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http://www.chinamet.cn/Jweb_gt/EN/10.13228/j.boyuan.issn0449-749x.20230045 OR http://www.chinamet.cn/Jweb_gt/EN/Y2023/V58/I7/99

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