Open AccessEffect of characteristics of non-metallic inclusions on fatigue life of high-speed rail bearings based on multiple linear regression
Author(s) -
Xiaohan Guo,
Gang Zhang,
Canyang Ma,
Zhenqiang Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1983/1/012005
Subject(s) - bearing (navigation) , inclusion (mineral) , materials science , linear regression , non metallic inclusions , stress (linguistics) , structural engineering , metallurgy , engineering , computer science , mathematics , geology , statistics , linguistics , mineralogy , philosophy , artificial intelligence
In the process of smelting and manufacturing, bearing steel inevitably have defects such as non-metallic inclusions. Moreover, inclusion geometry (type, quantity, size, distribution, and shape) has a significant effect on the fatigue failure of bearing steel. In order to study effect extent of the size and distribution of inclusion on the fatigue life of bearings, this paper uses the test high-speed rail bearings LY-Z028 to research and analysis. The micro-model of contact between single inclusion and the matrix is established, and then performs ANSYS simulation on stress concentration which caused by size of single inclusion and relative surface depth. Further, multiple linear regression method is used to compare the effect extent of these two factors on the fatigue life. The results show that size of single inclusion has a greater impact on the fatigue life than relative surface depth, which can provide an effective reference for smelting and production requirements.