Robust design of valve spring based on taught method

Existing valve spring designs are using the deterministic optimization method without considering the uncertainties in manufacturing and assembling process. We propose to take them into account at an early design stage in order to ensure robustness which is less sensitive to the uncertainties of design parameters. A mathematic model on a valve spring is performed. The optimization objective is minimum mass and higher defending resonate performance. Optimization results are solved using the Genetic Algorithm. Considering the random error, the robustness of the optimization results on the valve spring is analyzed and the valve spring is not robust. The valve spring is designed again using the Taguchi method and the robustness is improved.