Gyung-Jin Park
한양대학교 기계공학과 · 공학
Gyung-Jin Park 교수의 연구실은 다학제적 설계 최적화(MDO), 견고 설계(Robust Design), 그리고 차량 충돌 최적화를 핵심으로 하는 첨단 구조 최적화 기법을 연구합니다. 특히, 비선형 동역학 응답 분석 기반의 충격성능 향상 기법과 시간 영역에서의 비탄성 소재(비탄성 고무, 점탄성 재료 등)를 고려한 최적화 기법에 초점을 맞추고 있습니다. axiomatic design과 설계구조행렬(DSM)을 활용한 모듈러 설계 기법의 통합적 응용도 활발히 진행되고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Robust design has been developed with the expectation that an insensitive design can be obtained. That is, a product designed by robust design should be insensitive to external noises or tolerances. An insensitive design has more probability to obtain a target value, although there are uncertain noises. Theories of robust design have been developed by adopting the theories of other fields. Based on the theories, robust design can be classified into three methods: 1) the Taguchi method, 2) robust
Optimization has been successfully applied to systems with a single discipline. Since many disciplines are involved in a coupled fashion in modern engineering, multidisciplinary design optimization (MDO) technology has been developed. MDO algorithms are designed to solve the coupled aspects generated from the interdisciplinary relationship. In a general MDO algorithm, a large design problem is decomposed into smaller ones which can be easily solved. Although various methods have been proposed fo
As the demands of customers in the modern industry increased, the number of products, and the variety of components has increased. These issues have led to difficulties in product development and production. Modularization of products has advantages such as cost reduction, product development time reduction, and production time reduction. Modular design of products has been studied in the design activities of the modern industry. In this study, a modular design method is proposed to design a mod
The vehicle performances for the side impact test and the roof crush test are dependent on the side structure design of a vehicle. Crash optimization can be employed to enhance the performances. A meta-model-based structural optimization technique is generally utilized in the optimization process since the technique is simple to use. However, the meta-model-based optimization is not suitable for problems with many design variables such as topology and topometry optimizations. A crash optimizatio
