Article Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test

Ta-Te Chen (National Institute for Materials ScienceROR) ; Ikumu Watanabe SAMURAI ORCID (National Institute for Materials ScienceROR)

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Citation
Ta-Te Chen, Ikumu Watanabe. Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test. Science and Technology of Advanced Materials: Methods. 2022, 2 (1), 416-424. https://doi.org/10.1080/27660400.2022.2129508
SAMURAI

Description:

(abstract)

In this study, a method for determining the additional material constant in a modified work-hardening model combining power-law and linear hardening was proposed without additional experimental data, based on the two stress--plastic strain curves of the power-law and linear hardening models. Consequently, the material constants can be determined using an existing approach. In this study, a data-driven estimation approach using the response surfaces of the loading curvature of a load--depth curve and the pile-up height of an indentation impression is established. The proposed approach was applied to high-work-hardening steel for validation.

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Keyword: Elastic-plastic material, instrumented indentation test, response surface, material database, finite element method

Date published: 2022-12-31

Publisher: Informa UK Limited

Journal:

  • Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 2 issue. 1 p. 416-424

Funding:

Manuscript type: Publisher's version (Version of record)

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First published URL: https://doi.org/10.1080/27660400.2022.2129508

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Updated at: 2024-01-05 22:13:44 +0900

Published on MDR: 2023-02-28 10:35:53 +0900

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