Intelligent Model for Evaluating Cold Rolled Strip Shape Based on Fuzzy Evaluation Rule
DING Shun-feng， YANG Li-po， YU Bing-qiang
National Engineering Research Center for Equipment and Technology of Cold Strip Rolling， State Key Laboratory of Metastable Materials Science and Technology, Yanshan University， Qinhuangdao 066004， Hebei， China
Abstract：Aiming at the problem of too few indexes for evaluating strip shape, based on the rule of fuzzy comprehensive evaluation, the intelligent shape evaluation model used online for cold rolled strip was established. First of all, the least square method of Legendre polynomials was used to recognize and record the information of macroscopic flatness and the primary flatness, secondary flatness, tertiary flatness, and quartus flatness in real time. Then, based on the traditional shape grading method, the rule of flatness fuzzy evaluation was established, and the online shape information of a 1 050 mm six-high cold rolling mill was comprehensively evaluated. The result of online shape comprehensive evaluation can provide important quantitative shape information for the closed loop shape control model and improve shape control effect and direct rolling process.
丁顺风 杨利坡 于丙强. 基于模糊评判规则的冷轧带钢智能板形评价模型[J]. 钢铁, 2014, 49(9): 61-63.
DING Shun-feng， YANG Li-po， YU Bing-qiang. Intelligent Model for Evaluating Cold Rolled Strip Shape Based on Fuzzy Evaluation Rule. Iron and Steel, 2014, 49(9): 61-63.
2014, Vol. 49 
