Development of Elastic Finite Element Model for Predicting Welding Deformation Based on Artificial Thermal Strain Met

doi:10.3901/JME.2022.04.111

Abstract

Abstract: The traditional inherent strain method is difficult to accurately apply the inherent stain loads which reflect the actual inherent strain distribution. Hence, it affects the accuracy of predicting welding distortion. With merging the advantages of the equivalent load method and the strain as direct boundary method, the proposed artificial thermal strain method can effectively solve the problem of lack fidelity in the traditional load method with considering the inherent strain layer by layer, and predict the convex angular deformation and longitudinal bending which the strain as direct boundary method was not able to. Simultaneously, this method comprehensively considers the various inherent strain distribution through the equivalent mechanical model which makes the saddle-shaped buckling deformation composed of convex angular deformation and concave longitudinal bending can be accurately analysed and calculated. Through the experiments, thermo-elastic-plastic finite element model, strain as direct boundary method and artificial thermal strain elastic method, the buckling deformation of 5052 aluminium alloy bead on plate was studied. The results show that the elastic model based on artificial thermal strain method can predict the buckling deformation accurately and quickly, which could be applied to predict the deformation of large-scale welded structures and laser additive manufacturing. And it also provides a new method to realize the conversion of the actual inherent strain distribution in the inherent strain theory.

Key words: inherent strain theory, welding distortion, saddle deformation, artificial thermal strain method

CLC Number:

TG156

WANG Chao, WU Chunbiao, SHAO Longtan. Development of Elastic Finite Element Model for Predicting Welding Deformation Based on Artificial Thermal Strain Met[J]. Journal of Mechanical Engineering, 2022, 58(4): 111-119.

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