Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test
Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test
复制标题
使用仪器化压痕测试结合幂律和线性硬化的加工硬化模型中的塑料性能的数据驱动估计
DOI:
10.1080/27660400.2022.2129508
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Watanabe Ikumu
中科院分区:
文献类型:
--
作者:
Chen Ta-Te;Watanabe Ikumu
Instrumented indentation testing is an efficient approach for measuring mechanical properties such as equivalent elastic modulus and hardness. Recently, the indentation-based approach has been extended to estimate the stress–strain curve corresponding to tensile or compression tests. However, estimation performance is decreased in high work-hardening alloys because of the limitation of the functional expressiveness in a simple power-law hardening model containing two material constants. Although a modified constitutive model can be employed to improve the expressiveness, additional experimental data are required to adequately determine these material constants. 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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影响因子:
2.7
作者:
T. Chen;I. Watanabe;T. Funazuka
通讯作者:
T. Chen;I. Watanabe;T. Funazuka
影响因子:
6.1
作者:
Jain, Anubhav;Shyue Ping Ong;Persson, Kristin A.
通讯作者:
Persson, Kristin A.
影响因子:
1.2
作者:
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M. Enoki
影响因子:
1.2
作者:
J. Ružić;I. Watanabe;Kenta Goto;T. Ohmura
通讯作者:
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DOI:
10.1080/27660400.2021.1959838
发表时间:
2021
期刊:
Science and Technology of Advanced Materials: Methods
影响因子:
--
作者:
Chen Ta-Te;Watanabe Ikumu;Liu Dayuan;Goto Kenta
通讯作者:
Goto Kenta