RESEARCH ON SPECIAL-SHAPED MICRO-TEXTURES ON THE OUTER SURFACE OF THE INNER RING OF CYLINDRICAL ROLLER BEARINGS

To deeply explore the potential of micro-textures in enhancing the comprehensive performance of bearings, the NU205 cylindrical roller bearing was taken as the prototype, and an initial micro-texture scheme was designed on the outer surface of the bearing, featuring an elliptical opening and a biased parabolic depth (referred to as EOOPT). Based on the theories of fluid mechanics and friction and wear, theoretical models for the bearing pressure, friction coefficient, average temperature, and inner ring volume wear were established. The above four performances of the prototype were investigated by computational fluid dynamics (CFD). The influence laws of texture feature parameters on the above four bearing performances were studied via response surface analysis, and the corresponding performance prediction models were established. Through multi-objective optimization design, the optimal texture parameters of the bearing were determined. Compared with the prototype bearing, the average bearing pressure of the bearing with these optimal parameters is increased by 15.46%, while the average friction coefficient, temperature, and wear rate are reduced by 16.67%, 9.34%, and 6.44%, respectively. Finally, experiments were conducted to study the influence laws of the number of texture rows on the temperature stability, torque variation, volume wear, and wear morphology of the outer ring. It is shown that the experimental results are consistent with the simulation results, verifying the reliability of the simulation analysis.