Research On Fatigue Life Of Deep Groove Ball Bearing Under Thermal-Stress Coupling

Deep groove ball bearing is characterized by simple structure, high rotating speed, long life, highmanufacturing accuracy and easy maintenance. So it can be widely used in many fields. Fatigue lifehas obtained lots of achievements on theoretical research, simulation analysis and experimental studyas important properties of bearings. Considering long time and high cost of bearing life test, it isdeveloped as verifying test. Most bearing life prediction based on finite element is only consideredcontact stress and deformation. Less research is aimed at thermal-stress coupling. This paper has doneresearch of fatigue life on deep groove ball bearing. Main research results are as follows：1) Based on Hertz contact theory, this paper has carried out the contact characteristics analysis ofdeep groove ball bearing. It has taken on simulation analysis by ANSYS Workbench and obtainedcontact stress and contact deformation under different loading conditions. After precision validationcan be ensured, simulation analysis of bearing fatigue life has developed.2) It has studied bearing heating theory and convective heat transfer coefficient theory in order todetermine setting thermal load and thermal boundary conditions reasonable thermal load and thermalboundary condition. Steady-state thermal analysis of deep groove ball bearing is carried out based onANSYS Workbench. Temperature distribution can be obtained under different loads and differentspeeds.3) By comprehensive consideration of load, temperature and speed and so on, this paper hasobtained bearing fatigue life applying nominal stress method and analyzed the result of finite element.4) Temperature test of the deep groove ball bearing’s outer ring has carried out on the BLZ60rolling bearing dynamic test machine. Test results and finite results are compared and errors areanalyzed.The results show that fatigue life of deep groove ball bearing under thermal-stress couplinghigh reliability has high reliability and better predicts fatigue life under different working conditions.