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Research on instrumented indentation technique to determine tensile properties based on stress state  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Research on instrumented indentation technique to determine tensile properties based on stress state

作者:Chen, Guoyao[1];Zheng, Xiaotao[1];Zhong, Jiru[2];Guan, Kaishu[2]

机构:[1]Wuhan Inst Technol, Sch Mech & Elect Engn, Hubei Prov Key Lab Chem Equipment Intensificat & I, Wuhan 430205, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份:2026

卷号:263

外文期刊名:MEASUREMENT

收录:;EI(收录号:20255219796819);WOS:【SCI-EXPANDED(收录号:WOS:001651508500001)】;

基金:The authors are grateful for the supports provided by the National MCF Energy R & D Program of China (2022YFE03120000) and the Na-tional Natural Science Foundation of China (52275159) .

语种:英文

外文关键词:Instrumented indentation technique; Stress state analysis; Plasticity constitutive model

摘要:Instrumented indentation technique (IIT) is widely used as a nondestructive method for evaluation of local tensile properties. However, the systematic errors caused by the measurement system, as well as the methodological errors resulting from the neglect of stress states differences between IIT and uniaxial tensile specimen, make it difficult to reliably predict tensile properties. In this study, IIT experiments are firstly modified to reduce systematic errors by employing a monolithic indenter and repositioning the displacement sensor. A proposed stress state-dependent plasticity model is then implemented to investigate the methodological errors resulting from the neglect of stress states differences. Uniaxial tension tests and round notched bar (RNB) tests are employed to calibrate the plasticity model parameters. A508 steel and five additional alloys drawn from literature are selected as the research materials. The results indicate that the method error caused by the neglect of stress states differences varies depending on the material. Among six investigated materials, the maximum error is 11.6%.

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