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Optimized constitutive equation of material property based on inverse modeling for aluminum alloy hydroforming simulation
作者单位:School of Mechanical Engineering and Automation Beihang University,School of Mechanical Engineering and Automation,Beihang University,School of Mechanical Engineering and Automation,Beihang University,Department of Production,Aalborg University,Department of Production,Aalborg University,Department of Production,Aalborg University,Beijing 100083,China,Beijing 100083,China,Beijing 100083,China,Aalborg DK-9220,Denmark,Aalborg DK-9220,Denmark,Aalborg DK-9220,Denmark
摘    要:1Introduction Sheet hydroforming has many advantages such as high drawing ratio,good part surface,and can be applied widely in the versatile and low volume production with miscellaneous materials such as aluminum alloys,high-strength steel,stainless steel…

收稿时间:6 February 2006

Optimized constitutive equation of material property based on inverse modeling for aluminum alloy hydroforming simulation
Authors:Li-hui LANG  Tao LI  Xian-bin ZHOU  BE KRISTENSEN  J DANCKERT  KB NIELSEN
Affiliation:

aSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China

bDepartment of Production, Aalborg University, Aalborg DK-9220, Denmark

Abstract:By using aluminum alloys,the properties of the material in sheet hydroforming were obtained based on the identification of parameters for constitutive models by inverse modeling in which the friction coefficients were also considered in 2D and 3D simulations.With consideration of identified simulation parameters by inverse modeling,some key process parameters including tool dimensions and pre-bulging on the forming processes in sheet hydroforming were investigated and optimized.Based on the optimized parameters,the sheet hydroforming process can be analyzed more accurately to improve the robust design.It proves that the results from simulation based on the identified parameters are in good agreement with those from experiments.
Keywords:hydromechanical deep drawing  inverse modeling  aluminum alloy  simulation
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