불량률 최소화를 통한 강건 최적설계의 확률제한조건 처리에 관한 연구

다국어 초록 (Multilingual Abstract)

In a design process, a robust optimization is only a way to minimize effects of variances in design variables on the design objectives. It should be carried out before beginning with manufacturing process by taking into account of the variances. Therefore, to predict the variances and to solve the formulation of constraints are the most important procedures for the robust optimization. Though several methods such as the process capability index and the six sigma technique were proposed for the prediction and solution of the variances and constraints, respectively, there are few attempts using a percent defective which has been widely applied in the quality control of the manufacturing process. In this study, the robust optimization for a case study of the control arm in automobile vehicle was carried out, in which the design space showing the mean and variance sensitivity of weight and stress was explored. Simplex algorithm was used to find the robustness of the optimal solution by the minimization of the percent defective and the formulation of constrained optimization converting to unconstrained one.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 불량률 확률제한조건
• 3. 로워암의 강건최적화
• 4. 결론
• 후기
• 참고문헌