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Title:Constitutive relationship model of TC21 alloy during superplastic deformation based on BP artificial neural network
Authors: ZHAO Wen-juan1 DING Hua1 ZHOU Ge1 CAO Fu-rong1 HOU Hong-liang2(1.School of Materials and Metallurgy Northeastern University Shenyang 110004 China 2.Beijing Aeronautical Manufacturing Technology Research Institute Beijing 100024 China) 
Unit:  
KeyWords: TC21 alloy superplasticity constitutive relationship BP artificial neural network 
ClassificationCode:TG146.23
year,vol(issue):pagenumber:2009,34(4):138-142
Abstract:
TC21 alloy is a two-phase alloy with high strength,high toughness and high damage-tolerant,and expresses excellent superplasticity.So it is necessary to build an appropriate constitutive relationship for profound study on dynamic response between flow-stress and thermal parameters during superplastic deformation,which has important guiding effect on optimization of superplastic processing parameters.In this study,superplastic compression tests were carried out for TC21 alloy by Gleeble1500 stress-strain simulator.Deformation behaviors were analyzed during superplastic compression.The results show that flow stress decreased with the increasing of temperature or decreasing of strain rate during superplastic compression deformation,and that dynamic recrystallization was the main softening mechanism.Then constitutive relationship of superplastic deformation was obtained on the basis of experimental data by BP artificial neural network method,which reflects the relationship between flow stress and its influencing factors satisfactorily.
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Reference:
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