Calibration of thermo-viscoplastic constitutive model under biaxial loadings: A Feasibility Study
WANG Zhihao, GUINES Dominique, LEOTOING Lioneldownload PDF
Abstract. In this study, an inverse identification strategy based on the finite element model updating (FEMU) method is proposed to calibrate the parameters of a temperature and strain rate dependent constitutive model. The mechanical responses of a dedicated cruciform specimen with heterogeneous temperature field under biaxial loading are employed to supply information to the inverse scheme. A combination of Particle Swarm Optimization (PSO) and SIMPLEX optimization algorithm is employed to find the optimal values of the material parameters. In order to validate the proposed identification strategy, a virtual experiment is designed and performed with a reference material constitutive model. The proposed strategy is proved to be feasible as all seven parameters of the constitutive model are accurately identified. In addition, the influences of measurement noise of force, temperature, and strain data are analyzed by means of a sensitivity study. The experimental data after the localized necking should be avoided for parameter identification. The proposed inverse identification strategy shows good robustness to strain noise.
Thermo-Viscoplastic Model, Thermal Biaxial Tensile Test, Calibration
Published online 4/19/2023, 10 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: WANG Zhihao, GUINES Dominique, LEOTOING Lionel, Calibration of thermo-viscoplastic constitutive model under biaxial loadings: A Feasibility Study, Materials Research Proceedings, Vol. 28, pp 1397-1406, 2023
The article was published as article 151 of the book Material Forming
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