• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 추계학술대회논문집A
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• pp.818-823
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• 2000

In practical design studies, most of designers solve multidisciplinary problems with complex design structure. These multidisciplinary problems have hundreds of analysis and thousands of variables. The sequence of process to solve these problems affects the speed of total design cycle. Thus it is very important for designer to reorder original design processes to minimize total cost and time. This is accomplished by decomposing large multidisciplinary problem into several multidisciplinary analysis subsystem (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problem to raise design efficiency by using genetic algorithm and shows the relationship between decomposition and multidisciplinary design optimization (MDO) methodology.

• Journal of Mechanical Science and Technology
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• 제16권5호
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• pp.609-618
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• 2002

In practical designs, most of the multidisciplinary problems have a large-size and complicate design system. Since multidisciplinary problems have hundreds of analyses and thousands of variables, the grouping of analyses and the order of the analyses in the group affect the speed of the total design cycle. Therefore, it is very important to reorder and regroup the original design processes in order to minimize the total computational cost by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and by processing them in parallel. In this study, a new decomposition method is proposed for parallel processing of multidisciplinary design optimization, such as collaborative optimization (CO) and individual discipline feasible (IDF) method. Numerical results for two example problems are presented to show the feasibility of the proposed method.

• 대한기계학회논문집A
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• 제25권5호
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• pp.883-890
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• 2001

In practical design studies, most of designers solve multidisciplinary problems with large size and complex design system. These multidisciplinary problems have hundreds of analysis and thousands of variables. The sequence of process to solve these problems affects the speed of total design cycle. Thus it is very important for designer to reorder the original design processes to minimize total computational cost. This is accomplished by decomposing large multidisciplinary problem into several multidisciplinary analysis subsystem (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problem to raise design efficiency by using genetic algorithm and shows the relationship between decomposition and multidisciplinary design optimization (MDO) methodology.

• 한국가구학회지
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• 제23권1호
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• pp.47-56
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• 2012

This study particularly looked at educational philosophy and content of Design Academy Eindhoven in Holland which provides multidisciplinary design education. For it might be important data for examining the educational substance and directivity in design that help construct education system in design for a new era among the varying design paradigm. The biggest feature of DAE education system designed for students to optimize their ability with systematic education of 8 contexts with 4 approaches through innovative specialty system. Besides, their interaction helps students major in what is individual specialty. Most of all, the study on the contents of DAE's multidisciplinary education is expected to be significant data for our design education that lacks integrative perspective in the respect that students might be able to develop their identity as an individual designer in changing society beyond the mere technical and formative level of design.

• International Journal of Automotive Technology
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• 제6권6호
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• pp.635-641
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• 2005

This paper presents an ASF (Aluminum Space Frame) BIW (Body in White) optimal design, which minimizes weight and satisfies multidisciplinary constraints such as static stiffness, vibration characteristics, low-/high-speed crash, and occupant safety. As only one cycle CPU time for all the analyses is 12 hours, the ASF design having 11-design variable is a large scaled problem. In this study, ISCD-II and conservative least square fitting method were used for efficient RSM modeling. Likewise, the ALM method was used to solve the approximate optimization problem. The approximate optimum was sequentially added to remodel the RSM. The proposed optimization method uses only 20 analyses to solve the 11-design variable problem. Moreover, the optimal design can achieve $15.6\%$ weight reduction while satisfying all the multidisciplinary design constraints.

• 한국CDE학회논문집
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• 제14권3호
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• pp.207-216
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• 2009

Modern engineering design problems involve complexity of disciplinary coupling and difficulty of problem formulation. Multidisciplinary design optimization can overcome the complexity and design optimization software or frameworks can lessen the difficulty. Recently, a growing number of new multidisciplinary design optimization techniques have been proposed. However, each technique has its own pros and cons and it is hard to predict a priori which technique is more efficient than others for a specific problem. In this study, a software system has been developed to directly solve MDO problems with minimal input required. Since the system is based on MATLAB, it can exploit the optimization toolbox which is already developed and proven to be effective and robust. The framework is devised to change an MDO technique to another as the optimization goes on and it is called a reconfigurable MDO framework. Several numerical examples are shown to prove the validity of the reconfiguration idea and its effectiveness.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.170-175
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• 2001

The design cycle associated with large engineering systems requires an initial decomposition of the complex system into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative subcycles. In analyzing or optimizing such a coupled system, it is essential to determine the best order of the processes within these subcycles to reduce design cycle time and cost. This is accomplished by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problems to improve design efficiency by using the multiple objective genetic algorithm (MOGA), and a sample test case is presented to show the effects of optimizing the sequence with MOGA.

• Advances in aircraft and spacecraft science
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• 제2권1호
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• pp.17-44
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• 2015

A modular multidisciplinary analysis and optimization framework has been built with the goal of performing conceptual design of an advanced efficient supersonic air vehicle. This paper addresses the specific challenge of designing this type of aircraft for a long range, supersonic cruise mission with a payload release. The framework includes all the disciplines expected for multidisciplinary supersonic aircraft design, although it also includes disciplines specifically required by an advanced aircraft that is tailless and has embedded engines. Several disciplines have been developed at multifidelity levels. The framework can be readily adapted to the conceptual design of other supersonic aircraft. Favorable results obtained from running the analysis framework for a B-58 supersonic bomber test case are presented as a validation of the methods employed.

• 디지털융복합연구
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• 제12권2호
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• pp.531-537
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• 2014

본 논문은 공주대학교 공과대학 학생들에게 다학제간 캡스톤 디자인을 운영하기 위한 모델을 제시한다. 여름방학 계절학기 기간 중에 공주대학교 공과대학에서 다학제간 캡스톤 디자인을 운영하였다. 다학제간 캡스톤 디자인에 참여한 학생들은 이전에 캡스톤 디자인 교과목을 수강하지 않은 서로 연관이 없는 5개 전공 학생들이다. 다양한 전공의 학생들에게 캡스톤 디자인작품을 완성하기 위해 센서 및 액츄에이터 등을 이용하는 아두이노 우노 마이크로 컨트롤러 제어보드를 사용하는 캡스톤 디자인 모델을 도입하였다. 만족도 평가를 통해 더 창의적이면서 현장감 있는 의미 있는 교육이 진행되었음을 알게 되었다. 이를 통해 다학제간 캡스톤 디자인 부분에서 앞으로의 가능성 있는 방향을 제시하였다.

• 한국항공우주학회지
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• 제37권7호
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• pp.685-692
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• 2009

본 논문에서는 회전익 비행체 개발과정에서 사용되는 다양한 해석데이터를 관리하기 위한 KHP - SDM 시스템 개발 및 회전익 비행체 개념설계를 위한 다분야통합 최적설계 프레임워크 개발에 관해 기술하였다. KHP-SDM 시스템 상에 개발된 다분야 해석 모듈을 통합하고 KHP-SDM의 최적화 모듈을 적용하여 KHP-SDM RMDO 프레임워크를 구축하였다. KHP-SDM RMDO 프레임워크를 이용한 회전익 비행체 개념설계 결과 프레임워크가 성공적으로 구성되었음을 보여주었다.