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《Forging & Stamping Technology》 2008-01
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Model of constitutive relationship for 2D70 aluminum alloy based on BP neural network

LU Shi-qiang,ZHOU Xi-lin,WANG Ke-lu,LI Xin,ZHAO Wei-gang(School of Materials Science and Engineering,Nanchang Hangkong Univestry,Nanchang 330063,China)  
Isothermal and constant strain rate compression tests on 2D70 aluminum alloy were conducted by using Thermecmastor-Z simulator,and the flow stress datas were obtained at different temperatures and strain rates for various true strains.Based on the experimental data and network knowledge,an artificial neural network with back propagation algorithm was established and knowledge based constitutive relations model was developed after training.Error analysis shows that the artificial neural network model for constitutive relationship has higher predicted precision,and it can be used for guiding the hot working process and applied in finite element simulation of 2D70 aluminum alloy.
【Fund】: 江西省材料科学与工程中心基金资助项目(ZX200601002)
【CateGory Index】: TG115.53
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