• Title/Summary/Keyword: MDO(Multidisciplinary Design Optimization)

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MDO-Based Design Collaboration (MDO 기반 협력설계 시스템)

  • Choi, Young;Park, Jin-Pyo
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.9
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    • pp.142-150
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    • 2003
  • MDO is one of the efficient methods for huge and multi -functional system design. This paper describes a design collaboration framework with MDO in networked design environment. A prototype of web -based integrated design system was implemented to show sharing and exchange of models and analysis information between MDO modules and collaborative design stations. Server System consists of MDO modules for optimization and modeling module for 3D modeling operation. Client system provide user with graphic interface for shape modeling and system operation. We believe that the proposed approach can be extended to solve real complex multidisciplinary design problems.

Extensible Mu池disciplinary Design Integration and Optimization System (다분야통합최적설제를 위한 설계프레임웍: EMDIOS)

  • 이세정
    • CDE review
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    • v.10 no.1
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    • pp.48-54
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    • 2004
  • 제품설계에 관련된 다양한 공학해석분야, 즉 구조해석, 동역학, 열ㆍ유체ㆍ유동해석, 제어, 전자기장해석 등을 동시에 고려하면서 최적의 설계를 결정하는 것을 다분야통합최적설계(Multidisciplinary Design Optimization: MDO) 기술이라 한다. MDO 프레임적 (framework)은 최적화기술, 컴퓨팅기반구조기술, 통합설계기술이 유기적으로 구현된 소프트웨어 복합체계로서, 분산컴퓨팅 기반구조를 통하며 MDO요소 기술들과 기존의 CAD/CAE 도구들을 연계하여 설계 작업을 통합적으로 관리하고 자동화한다. MDO 프레임칙은 이러한 자동화된 통합관리를 통하여 설계도구 간의 데이터 전달과 변환에 소요되는 설계자의 부담을 경감시키며 다분야 전문가가 참여하는 공통 작업 환경을 제공함으로써 설계 효율성을 증진시킨다. 이 글에서는 현재 최적설계신기술연구센터 (iDOT)에서 개발 중인 MDO 프레임웍인 EMDIOS를 소개하기로 한다.

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Implemention of the System-Level Multidisciplinary Design Optimization Using the Process Integration and Design Optimization Framework (PIDO 프레임워크를 이용한 시스템 레벨의 선박 최적설계 구현)

  • Park, Jin-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.93-102
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    • 2020
  • The design of large complex mechanical systems, such as automobile, aircraft, and ship, is a kind of Multidisciplinary Design Optimization (MDO) because it requires both experience and expertise in many areas. With the rapid development of technology and the demand to improve human convenience, the complexity of these systems is increasing further. The design of such a complex system requires an integrated system design, i.e., MDO, which can fuse not only domain-specific knowledge but also knowledge, experience, and perspectives in various fields. In the past, the MDO relied heavily on the designer's intuition and experience, making it less efficient in terms of accuracy and time efficiency. Process integration and the design optimization framework mainly support MDO owing to the evolution of IT technology. This paper examined the procedure and methods to implement an efficient MDO with reasonable effort and time using RCE, an open-source PIDO framework. As a benchmarking example, the authors applied the proposed MDO methodology to a bulk carrier's conceptual design synthesis model. The validity of this proposed MDO methodology was determined by visual analysis of the Pareto optimal solutions.

Parallel Processing Based Decompositon Technique for Efficient Collaborative Optimization (효율적 분산협동최적설계를 위한 병렬처리 기반 분해 기법)

  • Park, Hyeong-Uk;Kim, Seong-Chan;Kim, Min-Su;Choe, Dong-Hun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.5
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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.

Adaptive Parallel Decomposition for Multidisciplinary Design

  • Park, Hyung-Wook;Lee, Se J.;Lee, Hyun-Seop;Park, Dong-Hoon
    • Journal of Mechanical Science and Technology
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    • v.18 no.5
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    • pp.814-819
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    • 2004
  • The conceptual design of a rotorcraft system involves many different analysis disciplines. The decomposition of such a system into several subsystems can make analysis and design more efficient in terms of the total computation time. Adaptive parallel decomposition makes the structure of the overall design problem suitable to apply the multidisciplinary design optimization methodologies and it can exploit parallel computing. This study proposes a decomposition method which adaptively determines the number and sequence of analyses in each sub-problem corresponding to the available number of processors in parallel. A rotorcraft design problem is solved and as a result, the adaptive parallel decomposition method shows better performance than other previous methods for the selected design problem.

Multidisciplinary Design Optimization of Engine Mount with Considering Driveline (구동계를 고려한 엔진 마운트의 다분야 통합 최적설계)

  • 서명원;심문보;김문성;홍석길
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.3
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    • pp.209-217
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    • 2002
  • This gaper discusses a multidisciplinary design optimization of the engine mounting system to improve the ride quality of a vehicle and to remove the possibility of the resonance between the powertrain system and vehicle systems. The driveline model attempts to support engine mount development by providing sufficient detail for design modification assessment in a modeling environment. Design variables used in this study are the locations, the angles and the stiffness of an engine mount system. The goal of the optimization is both decoupling the roll mode ova powertrain and minimizing the vibration transmitted to the vehicle including the powertrain, simultaneously. By applying forced vibration analysis for vehicle systems and mode decouple analysis for the engine mount system, it is shown that improved optimization result is obtained.

Introduction of Design Framework for Multidisciplinary Design Optimization (다분야통합최적설계를 위한 설계프레임웍의 소개)

  • 이세정;최동훈
    • Computational Structural Engineering
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    • v.17 no.3
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    • pp.14-21
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    • 2004
  • MDO프레임웍은 설계 작업을 통합적으로 관리하고 자동화하여 설계도구 간의 데이터 전달과 변환에 소요되는 설계자의 부담을 경감시키며 다분야 전문가가 참여하는 협동설계 환경을 제공함으로써 다분야를 동시에 고려한 효율적 설계를 지원한다. 이번 글에서는 이러한 MDO프레임웍으로 개발된 EMDIOS를 소개하고, 그 개발 배경과 타당성을 개략적으로 제시하였다. EMDIOS는 분산 환경을 제공하고, 데이터베이스와 연계되어 정의된 문제와 문제 풀이 절차를 저장하고 실행시 발생하는 데이터들을 체계적으로 관리하는 구조를 갖는다. MDO문제 해결에 필요한 도구들은 모두 소프트웨어 컴포넌트로 구성 및 기술되어 컴포넌트 등록기에 등록되어 저장된다. 등록된 컴포넌트는 GUI기반의 MDO커널에 의하여 검색되고 MDO문제해결 절차의 구성 요소가 된다. 구성된 문제 해결을 위한 실행은 컴포넌트 서비스 에이전트에 의하여 이루어진다. EMDIOS는 새로운 설계도구를 EMDIOS에 쉽게 통합하여 사용할 수 있도록 공통적으로 구현될 수 있는 부분을 구현한 추상 클래스와 이로부터 필요한 인터페이스를 생성할 수 있는 인터페이스 제조기를 제공함으로써 확장성과 개방성을 제공한다. 제시된 MDO 프레임웍의 사용자 인터페이스는 가장 많은 사용자를 확보하고 있는 윈도우 환경에서 Visual C++를 이용하여 개발되고 있으며, 다양한 OS환경에서 작동되어야 하는 래퍼는 JAVA로 개발하였다. 현재 개발된 EMDIOS는 다양한 벤치 마크 테스트 중이며 올해 9월이후에는 일반에게도 공개할 수 있는 프레임웍으로써 모습을 갖출 것으로 보인다.

A Method of Multidisciplinary Design Optimization via Coordination of Interdisciplinary Design Variables (분야간 연성된 설계변수의 처리를 통한 다분야통합최적설계 방법)

  • Jeong, Hee-Seok;Lee, Hyung-Joo;Lee, Jong-Soo
    • Proceedings of the KSME Conference
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    • 2001.06c
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    • pp.380-385
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    • 2001
  • The paper presents a new multidisciplinary design optimization architecture using optimal sensitivity and coordination of interdisciplinary design variables. Original design problem is decomposed into a number of sub-problems that represent individual engineering analysis. The coupled effects between sub-problems are computed by interdisciplinary design variables. System level coordination is determined by optimal parameter sensitivity calculated by finite difference method. The proposed. MDO strategy is applied to a simplified model of rotorcraft blade design associated with structures and aerodynamic disciplines.

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Cruise Missile Configuration Optimal Design Using Multidisciplinary Analysis (다분야통합 해석을 이용한 순항미사일 형상 최적설계)

  • Choi, Suk-Min;Lee, Seung-Jin;Lee, Jae-Woo;Byun, Young-Hwan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2007.04a
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    • pp.38-42
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    • 2007
  • In this study, cruise missile configuration is optimal designed by using multidisciplinary analysis. Aerodynamic, weight, performance and mission analysis modules are developed by FORTRAN and integrated with framework. Darwin algorithm, a global optimization tool, is used for optimization. In the result of optimal design, gross weight of designed configuration is reduced about 17% than baseline configuration while satisfying design constraint conditions.

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Multidisciplinary UAV Design Optimization Implementing Multi-Fidelity Analysis Techniques (다정밀도 해석기법을 이용한 무인항공기 다분야통합 최적설계)

  • Lee, Jae-Woo;Choi, Seok-Min;Van, Nguyen Nhu;Kim, Ji-Min;Byun, Yung-Hwan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.8
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    • pp.695-702
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    • 2012
  • In this study, Multi-fidelity analysis is performed to improve the accuracy of analysis result during conceptual design stage. Multidisciplinary Design Optimization(MDO) method is also considered to satisfy the total system requirements. Low-fidelity analysis codes which are based on empirical equations are developed and validated for analyzing the Unmanned Aerial Vehicle(UAV) which have unconventional configurations. Analysis codes consist of initial sizing, aerodynamics, propulsion, mission, weight, performance, and stability modules. Design synthesis program which is composed of those modules is developed. To improve the accuracy of the design method for UAV, Vortex Lattice Method is used for the strategy of MFA. Multi-Disciplinary Feasible(MDF) method is used for MDO technique. To demonstrate the validity of presented method, the optimization results of both methods are compared. According to those results, the presented method is demonstrated to be applicable to improve the accuracy of the analyses during conceptual design stage.