Science and Technology of Advanced Materials: Methods最新文献_第4页

Autonomous experimental systems in materials science 材料科学中的自主实验系统

Science and Technology of Advanced Materials: Methods Pub Date : 2023-04-03 DOI: 10.1080/27660400.2023.2197519

引用次数: 2

Integration of X-ray absorption fine structure databases for data-driven materials science 数据驱动材料科学中x射线吸收精细结构数据库的集成

Science and Technology of Advanced Materials: Methods Pub Date : 2023-04-03 DOI: 10.1080/27660400.2023.2197518

M. Ishii, Kosuke Tanabe, Asahiko Matsuda, H. Ofuchi, Takahiro Matsumoto, T. Yaji, Y. Inada, H. Nitani, M. Kimura, Kiyotaka Asakura

引用次数: 1

CO2 adsorption on the (111) surface of fcc-structure high entropy alloys fcc结构高熵合金(111)表面对CO2的吸附

Science and Technology of Advanced Materials: Methods Pub Date : 2023-01-10 DOI: 10.1080/27660400.2022.2161807

Y. Hinuma, K. Mori

引用次数: 1

High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS 基于自主背景减法的高通量XPS光谱建模用于SnS的3d5/2峰映射

Science and Technology of Advanced Materials: Methods Pub Date : 2023-01-04 DOI: 10.1080/27660400.2022.2159753

T. Matsumura, N. Nagamura, S. Akaho, K. Nagata, Y. Ando

引用次数: 1

Hybrid algorithm of Bayesian optimization and evolutionary algorithm in crystal structure prediction 晶体结构预测中贝叶斯优化与进化算法的混合算法

Science and Technology of Advanced Materials: Methods Pub Date : 2022-12-31 DOI: 10.1080/27660400.2022.2055987

T. Yamashita, H. Kino, Koji Tsuda, Takashi Miyake, Tamio Oguchi

引用次数: 2

Order–disorder competition in equiatomic 3d–transition–metal quaternary alloys: Phase stability and electronic structure 等原子三维过渡金属四元合金的有序无序竞争:相稳定性和电子结构

Science and Technology of Advanced Materials: Methods Pub Date : 2022-12-02 DOI: 10.1080/27660400.2022.2153632

H. Mizuseki, R. Sahara, K. Hongo

引用次数: 0

Super-hierarchical and explanatory analysis of magnetization reversal process using topological data analysis 利用拓扑数据分析对磁化反转过程进行超层次解释分析

Science and Technology of Advanced Materials: Methods Pub Date : 2022-11-17 DOI: 10.1080/27660400.2022.2149037

Sotaro Kunii, A. Foggiatto, C. Mitsumata, M. Kotsugi

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引用次数: 3

Automatic Rietveld refinement by robotic process automation with RIETAN-FP RIETAN-FP机器人过程自动化的自动Rietveld细化

Science and Technology of Advanced Materials: Methods Pub Date : 2022-11-11 DOI: 10.1080/27660400.2022.2146470

Ryo Tamura, M. Sumita, Kei Terayama, Koji Tsuda, F. Izumi, Y. Matsushita

引用次数: 1

End-condition for solution small angle X-ray scattering measurements by kernel density estimation 用核密度估计溶液小角x射线散射测量的终止条件

Science and Technology of Advanced Materials: Methods Pub Date : 2022-10-26 DOI: 10.1080/27660400.2022.2140021

H. Sekiguchi, N. Ohta, Hideaki Ishibashi, H. Hino, M. Mizumaki

引用次数: 0

Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test 结合幂律和线性硬化的加工硬化模型塑性性能的数据驱动估计

Science and Technology of Advanced Materials: Methods Pub Date : 2022-10-11 DOI: 10.1080/27660400.2022.2129508

Ta-Te Chen, I. Watanabe

{"title":"Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test","authors":"Ta-Te Chen, I. Watanabe","doi":"10.1080/27660400.2022.2129508","DOIUrl":"https://doi.org/10.1080/27660400.2022.2129508","url":null,"abstract":"ABSTRACT 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. GRAPHICAL ABSTRACT","PeriodicalId":221393,"journal":{"name":"Science and Technology of Advanced Materials: Methods","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1