个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
学科:精密仪器及机械. 机械电子工程. 机械制造及其自动化
办公地点:机械工程学院大方楼9097
联系方式:13941175919
电子邮箱:zylgzh@dlut.edu.cn
Fatigue life prediction of FV520B with internal inclusions
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论文类型:期刊论文
发表时间:2015-03-15
发表刊物:MATERIALS & DESIGN
收录刊物:SCIE、EI
卷号:69
页面范围:241-246
ISSN号:0264-1275
关键字:Martensitic stainless steel; Inclusion; Fatigue life prediction; Giga-cycle fatigue
摘要:Fatigue life prediction of high strength material such as FV520B is a primary concern in remanufacturing engineering theory and research development, is an important research topic in the field. However, few studies about FV520B fatigue property exist in literature. This paper discusses a fatigue experiment for life prediction model conducted in the UFTS (Ultrasonic Fatigue Test System) at 20 kHz. Based on the obtained fatigue failures, test data, and observed GBF (Granular Bright Facet) and "fish-eye'', the analysis results prove that inclusions can be a principal cause of the fatigue failure in giga-cycle stage. After employing a fitting algorithm and determining the model unknown parameters, based on the fatigue data including life and inclusion size, an FV520B empirical life prediction model is identified. Model validation is performed through the analysis of errors between the model and experimental data, which are shown within an accepted tolerance for its engineering applicability. The model applicable for the FV520B life prediction and is an influences to the life study of high strength materials. It is highly beneficial to the research development in remanufacturing engineering as well. (C) 2014 Elsevier Ltd. All rights reserved.