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MULTIDISCIPLINARY ROBUST OPTIMIZATION DESIGN 被引量:2

MULTIDISCIPLINARY ROBUST OPTIMIZATION DESIGN
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摘要 Because uncertainty factors inevitably exist under multidisciplinary designenvironment, a hierarchical multidisciplinary robust optimization design based on response surfaceis proposed. The method constructs optimization model of subsystem level and system level tocoordinate the coupling among subsystems, and also the response surface based on the artificialneural network is introduced to provide information for system level optimization tool to maintainthe independence of subsystems, i.e. to realize multidisciplinary parallel design. The applicationcase of electrical packaging demonstrates that reasonable robust optimum solution can be yielded andit is a potential and efficient multi-disciplinary robust optimization approach. Because uncertainty factors inevitably exist under multidisciplinary designenvironment, a hierarchical multidisciplinary robust optimization design based on response surfaceis proposed. The method constructs optimization model of subsystem level and system level tocoordinate the coupling among subsystems, and also the response surface based on the artificialneural network is introduced to provide information for system level optimization tool to maintainthe independence of subsystems, i.e. to realize multidisciplinary parallel design. The applicationcase of electrical packaging demonstrates that reasonable robust optimum solution can be yielded andit is a potential and efficient multi-disciplinary robust optimization approach.
机构地区 CADCenter
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2005年第1期46-50,共5页 中国机械工程学报(英文版)
基金 This project is supported by National Natural Science Foundation of China (No.50075028, No.70150001, No.60474077) National 863 Hi-tech. Program of China(No.2002AA414510) Specialized Research Fund for the Doctor Program of Higher Education of China(No.20010487024)
关键词 Multidisciplinary optimization Robust design Collaborative optimization Response surface Multidisciplinary optimization Robust design Collaborative optimization Response surface
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参考文献12

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