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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Wan, Jian Wang, Nanxin Gomez-Levi, Gianna |
| Copyright Year | 2006 |
| Abstract | Early conceptual design is one of the most important stages in vehicle product development. At this stage, vehicle design information is limited. In many cases, historical or benchmark vehicle data are used as surrogates in decision making. Some of the legacy components may be reused in the new vehicle design in order to reduce development and manufacturing costs. Nowadays, parametric modeling methods have been developed and employed for conceptual vehicle design. However, how to quickly reuse the previous design and legacy vehicle data in parametric design is still a challenge. A hybrid method for parametric conceptual vehicle design is presented in this paper, which uses both legacy components and parametric surfaces. This method allows easy reuse of historical data together with new parametric surfaces for early vehicle design. It enables mix and match of legacy components with newly designed parametric surfaces in representing a new design. This method provides a systematic way to enforce the commonality and reusability in a vehicle design. |
| Sponsorship | Design Engineering Division and Computers and Information in Engineering Division |
| Starting Page | 53 |
| Ending Page | 61 |
| Page Count | 9 |
| File Format | |
| ISBN | 079184255X |
| DOI | 10.1115/DETC2006-99391 |
| e-ISBN | 079183784X |
| Volume Number | Volume 1: 32nd Design Automation Conference, Parts A and B |
| Conference Proceedings | ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
| Language | English |
| Publisher Date | 2006-09-10 |
| Publisher Place | Philadelphia, Pennsylvania, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Design Decision making Product development Manufacturing Parametric design Conceptual design Modeling Automotive design Vehicles |
| Content Type | Text |
| Resource Type | Article |
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