Data-driven estimation of plastic properties of alloys using neighboring indentation test
Data-driven estimation of plastic properties of alloys using neighboring indentation test
复制标题
使用邻近压痕测试数据驱动估计合金的塑性性能
DOI：
10.1080/27660400.2021.1959838
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Goto Kenta
中科院分区：
文献类型：
--
作者：
Chen Ta-Te;Watanabe Ikumu;Liu Dayuan;Goto Kenta
提出了一种利用相邻压痕对合金塑性性能进行数据驱动估计的方法。仪器压痕试验是测量材料等效弹性模量和硬度等力学性能的有效方法。在力学试验中，后续试验一般不考虑已有压痕进行，以避免依赖金属塑性变形历史而产生的相互影响。在本研究中，基于相邻位置的第一个和第二个压痕之间的荷载深度曲线的差异，利用相互作用效应来估计塑性性能。通过相邻压痕试验的有限元模拟，验证了有效的试验条件，表征了加载曲率的响应面，确定了简单塑性本构模型的两个材料常数。最后对该方法在铝合金和不锈钢上的应用进行了验证。它也可应用于各种具有不同弹性模量的合金。
A data-driven estimation method for the plastic properties of alloys was proposed using indentations at neighboring positions. An instrumented indentation test is an efficient approach to measure mechanical properties such as equivalent elastic modulus and hardness. In the mechanical test, subsequent experiments are generally performed apart from existing indentations to avoid the interaction effect caused by the dependency on the deformation history of metal plasticity. In this study, the interaction effect was utilized to estimate the plastic properties, based on the difference of load–depth curves between the first and second indentations at neighboring positions. Using finite element simulations of the neighboring indentation tests, the effective experimental conditions were examined, and response surfaces of the loading curvatures were characterized to determine two material constants of a simple constitutive model of plasticity. Finally, the proposed approach was validated for application to aluminum alloys and stainless steel. It can be also applied to various alloys characterized by different elastic moduli.
影响因子：
2.6
作者：
Chen, Youxing;Hintsala, Eric;Mara, Nathan A.
通讯作者：
Mara, Nathan A.
DOI：
10.1080/14686996.2020.1788908
发表时间：
2020-01-31
影响因子：
5.5
作者：
Watanabe, Ikumu;Sun, Zhengzhong;Goto, Kenta
通讯作者：
Goto, Kenta
影响因子：
2.7
作者：
Futakawa, M;Wakui, T;Ioka, I
通讯作者：
Ioka, I