전륜 현가 장치 서브프레임의 근사모델 기반 다분야통합최적설계

Approximate multidisciplinary design optimization (MDO) for a suspension component of the vehicle front suspension was performed in this research. Shapes and thicknesses of the subframe were optimized to satisfy multi-disciplinary design requirements; weight, fatigue, crash, noise, vibration, and harshness (NVH), and kinematic and compliance (K&C). Analyses procedures of the performance disciplines were integrated and automated by using the process integration and design optimization (PIDO) technique, and the integrated and automated analyses environments enabled various types of analytic design methodologies for solving the MDO problem. We applied an approximate optimization technique which involves sequential sampling and metamodeling. Since the design variables for thicknesses should be dealt as discrete variables. The evolutionary algorithm is selected as optimization technique. From the result of approximate MDO, optimum shape and thicknesses of the subframe component were obtained. Moreover, the result of this research proved the usefulness and effectiveness of the proposed approach including approximate optimization. The proposed approach is expected to be successful for the structural and shape optimizations of similar design problems.