详细信息
Improvement of stress corrosion cracking resistance by low cycle fatigue of a CrNiMoV steel ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Improvement of stress corrosion cracking resistance by low cycle fatigue of a CrNiMoV steel
作者:Huang, Yu-Hui[1];Yang, Fang-Xin[1];Wang, Nan[1];Zhu, Ming-Liang[1];Xuan, Fu-Zhen[1]
机构:[1]East China Univ Sci & Technol, Key Lab Pressure Syst & Safety, Minist Educ, Shanghai, Peoples R China
年份:2023
卷号:7
期号:1
外文期刊名:NPJ MATERIALS DEGRADATION
收录:;EI(收录号:20233014427075);WOS:【SCI-EXPANDED(收录号:WOS:001024354800001)】;
基金:This work was financially sponsored by National Key R & D Program of China (Grant No. 2021YFC3001800), the National Natural Science Foundation of China (Grant No. 51875202), and supported by Innovation Program of Shanghai Municipal Education Commission (2023-05-49).
语种:英文
外文关键词:Chromium alloys - Chromium steel - Corrosion fatigue - Corrosion resistance - Cracks - Fatigue testing - Microstructure - Molybdenum alloys - Molybdenum steel - Nickel steel - Residual stresses - Sodium alloys - Sodium chloride - Steel corrosion - Strain rate - Stress corrosion cracking - Tensile testing - Ternary alloys - Thermal fatigue - Vanadium alloys - Vanadium steel
摘要:Low cycle fatigue often interacts with stress corrosion cracking behavior. In this work, the effect of low cycle fatigue on stress corrosion cracking susceptibility of a CrNiMoV steel was investigated by interrupted fatigue tests in air and slow strain rate tensile tests in 3.5 wt% NaCl solution at 180 & DEG;C. Microstructure evolution characterization verified cyclic softening and was found to improve stress corrosion cracking resistance with crack deflection along lath martensites due to a decrease of residual stress, phase transformation and increase of low-energy structures. As a semi-quantitative damage indicator, the microstructure evolution due to low cycle fatigue damage can be well described by the Kernel Average Misorientation (KAM) from the Electron Backscatter Diffraction technique. The effect of fatigue damage on stress corrosion sensitivity was found predictable based on the linear relationship between KAM and stress corrosion sensitivity factor of reduction of area.
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