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| Cold Rolling Force Model Based on GA and ANN for Stainless Steel Strip |
| ZHANG Qingdong1，XU Xinggang1，YU Meng1，QU Biao2，LI Shi2 |
| 1.School of Mechanical Engineering，University of Science and Technology Beijing， Beijing 100083， China； 2.BaoXin Stainless Steel Company Limited， Ningbo 315807, Zhejiang, China |
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Abstract In order to improve the precision of imported rolling force model and based on BlandFord formula, the modified yield stress model and rolling force model were established by combining mathematical models of yield stress and rolling force with BP neural network and Genetic Algorithm. Lots of actual measured data pretreated and divided according to steel grade were used to train the neural network. The comparison between the measured and predicted rolling force showed that the new rolling force model had higher prediction accuracy.
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Received: 01 January 1900
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2008, Vol. 43 
