Determination of material parameters in the chaboche unified viscoplasticty model

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

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
• 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
• Contract Date: Sep 19, 2017