Multi-objective Optimization Design for Automotive Wheel Bearings by Simulated Annealing Method

In order to improve the efficiency of the design process and the quality,this paper proposes a multi-objective optimization method,using the simulated annealing method,for determining design variables of automotive wheel bearings of the double-row angular contact ball bearing type.The desired performance to be maximized is the system fatigue life and the moment rigidity with satisfying the geometrical and operational constraints,without enlarging the mounting space.Array coding and random selecting are used to efficiently find the optimum discrete design values.A computer program is developed and applied to the design of a real wheel bearings model to evaluate the proposed design method.The optimum design results demonstrate the effectiveness of the design method proposed in this paper by showing that the system fatigue life and the moment rigidity of an optimally designed wheel bearing are enhanced in comparison with that of the current design without any constraint violations.