1. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University,Qinhuangdao 066004, Hebei, China 2. State Key Laboratory of Metastable Materials Science and Technology,Yanshan University, Qinhuangdao 066004, Hebei, China 3. Hengshui Strip Rolling Co., Ltd., Hebei Iron & Steel Group, Hengshui 051000, Hebei, China
Quantitative Evaluation Method of Shape Indicator for Cold-rolled Strip
1. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University,Qinhuangdao 066004, Hebei, China 2. State Key Laboratory of Metastable Materials Science and Technology,Yanshan University, Qinhuangdao 066004, Hebei, China 3. Hengshui Strip Rolling Co., Ltd., Hebei Iron & Steel Group, Hengshui 051000, Hebei, China
ժҪ Quantitative level evaluation of cold-rolled strip was significant for the shape control and the product structure optimization. Based on the probability statistics method and the shape pattern recognition method, the shape evaluation model of cold-rolled strip was established to evaluate real-time shape of the online strip. The model was embedded in the shape control system, and the online strip shape state was real-time observed whether to meet the technical indicators, so the shape level could be identified and evaluated. Based on the shape evaluation indicators, the shape component could be well controlled to improve the shape hit rate and the control stability, so that the rolled strip shape could meet the technical requirements. At a 1050 cold strip mill, the shape data of the scene typical specifications strip were online collected and real-time evaluated, and the hit of macro shape in less than 8 I was 68.44%, indicating that the mill shape control had considerable room for improvement, as well as the evaluation method was feasible and practical for quantitative evaluation of the strip shape. So the new evaluation model has important guiding significance to increase value-added and reduce product quality objection.
Abstract��Quantitative level evaluation of cold-rolled strip was significant for the shape control and the product structure optimization. Based on the probability statistics method and the shape pattern recognition method, the shape evaluation model of cold-rolled strip was established to evaluate real-time shape of the online strip. The model was embedded in the shape control system, and the online strip shape state was real-time observed whether to meet the technical indicators, so the shape level could be identified and evaluated. Based on the shape evaluation indicators, the shape component could be well controlled to improve the shape hit rate and the control stability, so that the rolled strip shape could meet the technical requirements. At a 1050 cold strip mill, the shape data of the scene typical specifications strip were online collected and real-time evaluated, and the hit of macro shape in less than 8 I was 68.44%, indicating that the mill shape control had considerable room for improvement, as well as the evaluation method was feasible and practical for quantitative evaluation of the strip shape. So the new evaluation model has important guiding significance to increase value-added and reduce product quality objection.
�ո�����: 2013-01-31
��������: 2014-11-13
��������:National Science and Technology Support Plan of China
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E-mail: yanglp@ysu.edu.cn
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Li-po YANG,,Bing-qiang YU,,Hua-xin YU,Chang-zheng DU. Quantitative Evaluation Method of Shape Indicator for Cold-rolled Strip[J]. �й������ڿ���, 2014, 21(11): 983-989.
Li-po YANG,,Bing-qiang YU,,Hua-xin YU,Chang-zheng DU. Quantitative Evaluation Method of Shape Indicator for Cold-rolled Strip. Chinese Journal of Iron and Steel, 2014, 21(11): 983-989.
2014, Vol. 21 
