Multi-objective optimization design of wheel hub bearings based on Kriging-NSGA-II

In order to achieve the design objectives of high stiffness, low friction power consumption, and long service life for wheel hub bearings, this study proposes an enhanced mechanics model based on the traditional Jones-Harris model that improves its convergence. Furthermore, a novel multi-objective optimization method is introduced by combining the Kriging model with NSGA-II algorithm in conjunction with the improved mechanics model. The optimization aims to maximize angular stiffness while minimizing friction power consumption and maximizing rated dynamic load. Structural optimization design of hub bearing is carried out using this approach which significantly enhances computational efficiency of multi-objective optimization for hub bearings. After optimization, angular stiffness increases by 21.2 %, friction power consumption decreases by 5.1 %, and rated dynamic load increases by 3.8 %. These results successfully meet the design goals of high rated dynamic load, low friction power consumption and high stiffness for hub bearing, respectively. Additionally, maximum contact load reduces by 18.1 % whereas maximum contact stress decreases by 5.3 % after optimizing which ultimately leads to extended fatigue life of bearing.