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《ORDNANCE MATERIAL SCIENCE AND ENGINEERING》 1998-03
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DEFORMATION MECHANISM BEHAVIOR OF TC11 ALLOY WITH ARTIFICIAL NEURAL NETWORK

Liu Qingbin,Wu Shichun  
Artificial neural network,may simulate biological nervous system and it is referred to as parallel distributed processing.It has been proved mathematically that a three-layer network can map any function to any required accuracy.So a neural network can directly map the behaviors for the thermal viscoplastic material.By the neural network,it is unnecessary to postulate any mathematical model and identify its parameters.In this paper,a four-layer backpropagation neural network is built to acquire the constitutive relation of TC11 alloy.Temperature,effective stain,effective strain rate are used as the input vector of the neural network,the output of the neural network being the flow stress.After the network has been trained with experimental data,it can correctly reproduce the flow stress in the sampled data.Furthermore,when the network is represented with non-sampled data,it also can predict well.The results acquired from the neural network are very encouraging.
【Fund】: 国家自然科学基金 航空科学基金
【CateGory Index】: TG146.23,TG146.23
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Bao Junyao (Anhui Texile Industrial Academy, Hefei, 230001) Xu Chao (Hefei University of Technology);RESEARCH ON CONSTITUTIVE EQUATIONS FOR HOT WORKING OF METALS[J];JOURNAL OF ANHUI INSTITUTE OF ARCHITECTURE;1999-04
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