摘要
利用SEV极值统计方法预测不同体积的铸铁中最大石墨尺寸,进而预测疲劳强度。研究结果表明,随着母体体积的增大,预测的最大石墨尺寸增大,而疲劳强度降低。
The maximum graphite size in cast irons with different volumes was predicted by the method of statistics of extreme value(SEV),and the fatigue strength was further predicted by utilizing the result of SEV.It is shown from this study that with increasing the predicted volume the sizes of the maximum graphite increase,while the fatigue strength decrease.
作者
李永德
张馨予
王薇
朱雪彤
毛振宁
LI Yongde;ZHANG Xinyu;WANG Wei;ZHU Xuetong;MAO Zhenning(Heibei University of Engineering,College of Materials Science and Engineering,Hebei Handan,056038,China)
出处
《河北工程大学学报（自然科学版）》
CAS
2018年第1期103-108,共6页
Journal of Hebei University of Engineering:Natural Science Edition
基金
国家自然科学基金资助项目(51101094)
河北省科技计划项目(13211035)
河北省高等学校科学技术研究重点项目(ZD2015045)
关键词
铸铁
石墨
极值统计分布
疲劳强度
cast irons
graphite
statistics of extreme value
fatigue strength
