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| Content Provider | Springer Nature Link |
|---|---|
| Author | García, Manuel J. Boulanger, Pierre Henao, Miguel |
| Copyright Year | 2007 |
| Abstract | In industry, some parts are prone to failures or their design is simply sub-optimal. In those critical situations, one would like to be able to make changes to the part, making it lighter or improving its mechanical resistance. The problem of as-built parts is that the original computer-aided design (CAD) model is not available or is lost. To optimize them, a reverse engineering process is necessary to capture the shape and topology of the original design. This paper describes how to capture the original design geometry using a semi-automated reverse engineering process based on measurement provided by an optical 3D sensor. Following this reverse engineering process, a Fixed Grid Finite Element method and evolutionary algorithms are used to find the optimum shape that will minimize stress and weight. Several examples of industrial parts are presented. These examples show the advantages and disadvantages of the proposed method in an industrial scenario. |
| Starting Page | 541 |
| Ending Page | 550 |
| Page Count | 10 |
| File Format | |
| ISSN | 1615147X |
| Journal | Structural and Multidisciplinary Optimization |
| Volume Number | 35 |
| Issue Number | 6 |
| e-ISSN | 16151488 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2007-06-14 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Reverse engineering Shape optimization Fixed grid Finite element analysis Evolution strategies Genetic algorithms Engineering Design Numerical and Computational Methods in Engineering Computer-Aided Engineering (CAD, CAE) and Design Theoretical and Applied Mechanics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Computer Graphics and Computer-Aided Design Control and Systems Engineering Computer Science Applications Software |
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