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| Intelligent Rolling Force Prediction Model With Elongation Distribution Function |
| HE Haitao1,LIU Hongmin2,JIANG Yuefeng3 |
| 1． The College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China; 2. The College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China; 3. Baoshan Iron and Steel Co., Ltd., Shanghai 200431, China |
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Abstract According to the characteristics of twostand temper mill, a rolling force model with elongation distribution calculation function was established on the criterion that the best shape of strip is obtained under the base bending force. Moreover, in order to improve the prediction precision of rolling load, a new approach was proposed in which deformation resistance and friction coefficient are first predicted by neural network on measured data, then rolling force is predicted by combining above parameters with the selfadaption process of rolling force model. The new model was applied on 1220 twostand temper mill at Baosteel, proving that the rolling force on temper mill can be predicted with high precision.
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Received: 01 January 1900
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2007, Vol. 42 
