Transactions of Materials and Heat Treatment

Title：Selection of the parameters of electrical upsetting process for valve based on artificial neural networks

Authors： CHEN Jian~(1) XIA Ju-chen~(1) HU Guo-an~(1) XU Guang-wei~(2) LI Qian-fang~2(1.State Key Laboratory of Plastic Forming Simulation and Die & Mould Technology Huazhong University of Science and Technology Wuhan Hubei 430074 China 2.Hubei Tri-ring Valve Co. L

Unit：

KeyWords： valve electrical upsetting artificial neural networks

ClassificationCode：TG316

year,vol(issue):pagenumber：2006,31(5):36-39

Abstract：

The parameters of electrical upsetting process for valve are mostly selected by experience.Therefore,some parameters are unreasonably selected or not matched very well.This may cause process unstable and cause the quality of products descends.During the process,electric heating goes along with forging,and it is really difficult to set up the rational and useful mathematics model.Artificial Neural Networks has the character of black box and strong no-linear mapping capacity.In this article,a kind of combined neural networks is utilized to confirm the parameters gradually.The training sample of ANN is the data from experience of production and the networks are trained in order to attain the object of describing,ascertaining and somehow previewing the parameters of valve electrical upsetting process.Therefore,this method provides rational control parameters for valve electrical upsetting techniques.

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Reference：

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