Reliability-Based Robust Optimization Design for vehicle drum brake considering multiple failure modes

In order to reduce the influence of random parameters uncertainty on the safety performance of the vehicles, the Reliability-Based Robust Optimization Design (RBROD) is conducted on a drum brake under multiple failure modes, and a more effective and accurate method is found for the braking system robust design. The design of experiment method is used to obtain the 400 sample data sets between the design parameters and the natural frequency of drum brake, and the accuracy of the established model is verified by experiment. Taking the brake's weight and the Euclidean norm of the reliability sensitivity as optimization objectives, and the range of design parameters and system reliability as constraints, the RBROD mathematical model is established. RBROD is conducted by four meta-model methods, and the results are verified by finite element analysis. The research results show that the drum brake after RBROD meets the requirements of reliability, robustness, and optimization design, and the adaptive Kriging method has the highest calculation accuracy and efficiency among the four meta-model methods.