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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Yang, H. Xue, D. Tu, Y. L. |
| Copyright Year | 2005 |
| Abstract | This research introduces a new approach to model the non-linear relations among different design evaluation measures and to achieve the optimal design considering these different design evaluation measures through multi-objective optimization. In this approach, different design evaluation measures are mapped to comparable design evaluation indices. The non-linear relation between a design evaluation measure and its design evaluation index is identified based on the least-square curve-fitting method. The weighting factors for different design evaluation indices, representing the importance measures of these indices in the multi-objective design optimization, are achieved using the pair-wise comparison method. A case study example of automobile caliper disc brake design considering 4 different design evaluation measures is given to illustrate the effectiveness of the introduced approach. |
| Sponsorship | Design Engineering Division and Computers and Information in Engineering Division |
| Starting Page | 253 |
| Ending Page | 263 |
| Page Count | 11 |
| File Format | |
| ISBN | 079184739X |
| DOI | 10.1115/DETC2005-84425 |
| e-ISBN | 0791837661 |
| Volume Number | Volume 2: 31st Design Automation Conference, Parts A and B |
| Conference Proceedings | ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
| Language | English |
| Publisher Date | 2005-09-24 |
| Publisher Place | Long Beach, California, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Least-square curve-fitting Design evaluation Multi-objective design optimization Pair-wise comparison method Design Curve fitting Modeling Optimization |
| Content Type | Text |
| Resource Type | Article |
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