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
基于两种不同缺陷形式的FV520B-I疲劳寿命预测
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发表时间:2022-10-10
发表刊物:机械设计与制造
所属单位:机械工程学院
期号:5
页面范围:1-4
ISSN号:1001-3997
摘要:Both surface roughness and internal inclusion will affect fatigue life of high-metal FV520B-I significantly.Based on the ultrasonic experimental data and the observations,according to the classical fiacture mechanics,the fatigue life prediction basic models for FV520B-I with the consideration of internal inclusion and surface roughness are obtained.Based on the suitable experimental data,the FV520B-I empirical fatigue life prediction models with two different defect firms are established by estimating the unknown material parameters related to FV520B-I.The establishment of the fatigue life prediction model makes a contribution to the study of FV520B-I and it is also valuable to the life prediction of FV520B-I in actual engineering.
备注:新增回溯数据