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作 者:Bin Zhang Benny Endelt Karl Brian Nielsen
机构地区:[1]Department of Materials and Production,Aalborg University,Aalborg 9220,Denmark [2]Engineering Teaching Practice Training Center,Tiangong University,Tianjin 300387,China [3]Research and Development Lab,Vestas aircoil A/S,Lem 6940,Denmark [4]Department of Mechanical and Production Engineering,Aarhus University,Aarhus 8000,Denmark
出 处:《Fundamental Research》2023年第4期592-601,共10页自然科学基础研究(英文版)
基 金:The first author was supported by China Scholarship Council(CSC)(201706080020)from the Ministry of Education of China and expresses his appreciation to CSC for their financial support。
摘 要:A T-shape tube hydraulic bulge test under axial feeding force is carried out to characterize the mechanical properties of EN AW 5049-O and 6060-O aluminium alloys.The punch displacement,T-branch height and axial compressive force are recorded online during the experiment.An intelligent inverse identification framework combining the finite element method and numerical optimization algorithm is developed to determine material parameters by fitting simulated results to the experimental data iteratively.The identified constitutive parameters using the inverse modelling technique are compared with those determined by the theoretical analysis and uniaxial tensile test.The comparison shows that the predicted bulge height and punch force based on the material parameters obtained by the three methods are different and the inverse strategy produces the smallest gap between numerical and experimental values.It is possible to conclude that the hydraulic bulge test can be applied to characterize the stress-strain curve of tubular materials at the large strain scope,and the automatic inverse framework is a more accurate post-processing procedure to identify material constitutive parameters compared with the classical analytical model.
关 键 词:Intelligent optimization Tubular material Parameter identification Hydraulic bulge test Constitutive model
分 类 号:TG14[一般工业技术—材料科学与工程]
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