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Determination of material parameters in the chaboche unified viscoplasticty model

Gong, Y.P.; Hyde, Christopher J.; Sun, Wei; Hyde, T.H.

Authors

Y.P. Gong

Christopher J. Hyde

Wei Sun

T.H. Hyde



Abstract

An experimental programme of cyclic mechanical testing of a 316 stainless steel, at temperatures up to 600°C, under isothermal conditions, for the identification of material constitutive constants, has been carried out using a thermo-mechanical fatigue (TMF) test machine with induction coil heating. The constitutive model adopted is a modified Chaboche unified viscoplasticity model, which can deal with both cyclic effects, such as combined isotropic and kinematic hardening, and rate-dependent effects, associated with viscoplasticity. The characterisation of 316 stainless steel is presented and compared to results from cyclic isothermal tests. A least squares optimisation algorithm has been developed and implemented for determining the material constants in order to further improve the general fit of the model to experimental data, using the initially obtained material constants as the starting point in this optimisation process. The model predictions using both the initial and optimised material constants are compared to experimental data.

Citation

Gong, Y., Hyde, C. J., Sun, W., & Hyde, T. Determination of material parameters in the chaboche unified viscoplasticty model. Applied Mechanics and Materials, 16-19, https://doi.org/10.4028/www.scientific.net/AMM.16-19.955

Journal Article Type Article
Online Publication Date Oct 12, 2009
Deposit Date Sep 19, 2017
Publicly Available Date Mar 28, 2024
Journal Applied Mechanics and Materials
Print ISSN 1660-9336
Electronic ISSN 1662-7482
Publisher Trans Tech Publications
Peer Reviewed Peer Reviewed
Volume 16-19
DOI https://doi.org/10.4028/www.scientific.net/AMM.16-19.955
Keywords Unified viscoplasticity model, 316 stainless steel, Material property determination, Nonlinear least squares optimisation
Public URL https://nottingham-repository.worktribe.com/output/705690
Publisher URL https://doi.org/10.4028/www.scientific.net/AMM.16-19.955
Related Public URLs https://www.scientific.net/AMM