Numerical optimization design for automotive wheel bearings using genetic algorithm

In order to improve the efficiency of the design process and the quality,as well as to opti-mize the performance of system,it proposes a numerical optimization method,using the genetic algorithm,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 with satisfying the geo-metrical and operational constraints,without enlarging the mounting space.A computer program is devel-oped 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 by showing that the system fatigue life of an optimally designed wheel bearing are enhanced in comparison with that of the current design without any constraint violations.