详细信息
The effect of residual stress on high-cycle fatigue properties and its evaluation method of Ti-6Al-4V alloy ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:The effect of residual stress on high-cycle fatigue properties and its evaluation method of Ti-6Al-4V alloy
作者:Chang, Shuai[1];Zhang, Kun[1];Tan, Jianping[1];Tu, Shantung[1]
机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, MOE Key Lab Pressure Syst & Safety, Shanghai, Peoples R China
年份:2024
卷号:47
期号:10
起止页码:3633
外文期刊名:FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
收录:;EI(收录号:20243016758205);WOS:【SCI-EXPANDED(收录号:WOS:001275253100001)】;
基金:National Natural Science Foundation of China, Grant/Award Numbers: 11502082, 52075174, 52130511
语种:英文
外文关键词:high-cycle fatigue; life prediction; mean stress; residual stress; Ti-6Al-4V
摘要:To assess the contribution of residual stress to the improvement of high-cycle fatigue (HCF) properties, HCF tests are performed on Ti-6Al-4V specimens with different residual stress levels but no other evident surface state modification induced by machining. Results indicate that compressive residual stress induced by machining significantly improves the HCF performance of Ti-6Al-4V specimens. Of all the specimens, the fatigue strength of specimens with a surface residual stress level of -400 MPa is increased by approximately 16.4%. Furthermore, to accurately predict the fatigue life based on three mean stress correction equations (e.g., Walker, Goodman, and Smith-Watson-Topper), the method of reducing surface residual stress by a reduction factor and then adding to the mean stress is proposed. A reduction factor of 0.55 is found to be appropriate for the alloy under the test condition, with majority of the predicted data falling within a factor of three scatter band. Isolate residual stress from other surface integrity parameters by machining. Compressive residual stress improves both the fatigue life and strength. Effect of residual stress is considered by introducing a reduction factor in mean stress. Develop a life prediction method based on mean stress correction model.
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