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| A Model to Predict Temper Rolling Force of Thin Gauge Strip with RBF Neural Networks |
| DUAN Xue-Hou, WANG Shi-Gang, XU Wei, TANG Cheng-Long |
| (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China) |
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Abstract The temper rolling process of thin gauge strip has the features of thin thickness and small reduction, thus it is difficult to calculate its temper rolling force and get a highprecision value. Aiming to solve this problem, this paper established a mathematical model to calculate its temper rolling force based on parameters modification. Meanwhile, the paper predicted the calculation error of the mathematical model above by using RBF neural networks in order to improve its precision further, and completed the modification for temper rolling force model by combining the calculation error and calculated values of original mathematical model. The offline simulation indicates that the precision of new model of temper rolling force for thin gauge strip can reaches 6% after twice modification by its modified parameters and RBF neural networks, which makes it have high value of application in real project.
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Received: 08 July 2010
Published: 29 June 2011
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