Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 39, Issue 2, Pages 171-186Publisher
SPRINGER
DOI: 10.1007/s00158-008-0319-3
Keywords
Reconfigurable systems; Product family design; Multilevel optimization; Vehicle Design
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Continuous advancements in technology have resulted in customers expecting enhanced performance across multiple operating conditions. In this paper, the desire to meet a variety of objectives after the system has been deployed is accomplished through the design of reconfigurable systems. However, permitting a system to adapt increases both complexity and cost. If this increase is too large, only a subset of design variables can be made adaptable. A multilevel multidisciplinary design optimization (MDO) approach is presented to determine the core architecture for a family of three reconfigurable vehicles when accommodating a changing number of adaptable design variables. To illustrate this approach, a case study involving a three-driver racing team is introduced. A common architecture is determined for the three vehicle variants, resulting in lap-time performance increases of 2.08%, 3.27%, and 3.67% when compared to the static, optimized baseline vehicle. The results of this study demonstrate the effectiveness of combining reconfigurability with product platforming and MDO.
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