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HU Jie
PENG Yinghong
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200030, China
XIONG Guangleng
Department of
Automation,
Tsinghua University,
Beijing 100084, China
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PARAMETER COORDINATION AND ROBUST
OPTIMIZATION FOR
MULTIDISCIPLINARY DESIGN*
Abstract:
A new parameter coordination and robust optimization approach for multidisciplinary design is presented. Firstly, the constraints network model is established to support engineering change, coordination and optimization. In this model, interval boxes are adopted to describe the uncertainty of design parameters quantitatively to enhance the design robustness. Secondly, the parameter coordination method is presented to solve the constraints network model, monitor the potential conflicts due to engineering changes, and obtain the consistency solution space corresponding to the given product specifications. Finally, the robust parameter optimization model is established, and genetic arithmetic is used to obtain the robust optimization parameter. An example of bogie design is analyzed to show the scheme to be effective.
Key words:
Constraints network Parameter coordination Robust design Multidisciplinary design |