Transactions of Materials and Heat Treatment

Title：Prediction model of QCr0.5 hot invert extrusion force based on artificial neural network

Authors： WU Peng-yue~(1) LI Hui-li ~(2) XIE Shui-sheng~(1) (1.State Key Laboratory for Fabrication and Process of Nonferrous Metals General Research Institute for Nonferrous Metals Beijing 100088 China 2.College of Materials Science and Engineering He'nan Universi

Unit：

KeyWords： BP neural network backward extrusion extrusion load

ClassificationCode：TG376.2

year,vol(issue):pagenumber：2005,30(5):77-80

Abstract：

The paper takes the relationship between punch angle,ratio of section reduction,extrusion temperature and extrusion force as the research object.Taking experimental data of backward extrusion as the samples for training and predicting,it predicts extrusion pressure using double hidden layer BP model with two and three nodes under Matlab language environment.The results indicate that this way is a valid and feasible way for predicting the extrusion load.

Funds：

河南省科技攻关计划项目(20024600005)

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