GAO Fusheng, JIA Ruichao, JIANG Shufeng, YAN Chaojun, WANG Junfeng. The parameters of four-point contact peach groove ball bearing are simulated and redesigned by orthogonal experiment method and response surface method[J]. Manufacturing Technology & Machine Tool, 2022, (11): 163-168. DOI: 10.19287/j.mtmt.1005-2402.2022.11.025
Citation: GAO Fusheng, JIA Ruichao, JIANG Shufeng, YAN Chaojun, WANG Junfeng. The parameters of four-point contact peach groove ball bearing are simulated and redesigned by orthogonal experiment method and response surface method[J]. Manufacturing Technology & Machine Tool, 2022, (11): 163-168. DOI: 10.19287/j.mtmt.1005-2402.2022.11.025

The parameters of four-point contact peach groove ball bearing are simulated and redesigned by orthogonal experiment method and response surface method

  • According to the needs of the four-point contact peach groove ball bearing life improvement problem, taking the four-point contact ball bearing in a lathe servo motor as the original research model, taking the number of rollers, roller diameter, gasket angle and bearing clearance as the influencing factors, and taking the basic rating life of the bearing as the target function, it is conducive to the optimization design and analysis of the structural parameters of the four-point contact ball bearing based on the orthogonal experimental method and the response surface method, and the size of the load F value and the contour diagram are obtained to judge. The results show that increasing the number of rollers and increasing the diameter of the rollers are conducive to improving the service life of the bearing. Increasing the value of the gasket angle can increase the bearing life first, then decrease and then increase; Increasing the bearing clearance increases the bearing life first and then tends to be stable. This research method can make the influence of gasket angle and bearing clearance on the improvement of bearing service life be expressed linearly, and the service life of the four-point contact ball bearing after optimization is increased by 54.33%, which can improve the new design idea for the optimal design of this type of bearing.
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