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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhang, Qiuchong Liu, Yuqi Zhang, Zhibing |
| Copyright Year | 2016 |
| Abstract | In this paper, an iterative learning control (ILC) model is constructed with the state function, forming quality function, and learning updating law to optimize the sheet forming process. The state function, which is hardly calculated explicitly, is replaced by finite element simulation to predict the workpiece state with a specific drawbead geometry scheme. Then, the forming quality function is defined by accumulating the elements’ thinning strain deviation with different weights. Afterwards, the learning updating law is designed to provide a new scheme of drawbead geometry based on the forming quality function multiplied by a learning gain. The ILC model guarantees a quick convergence and greatly improves the optimization efficiency for industrial application. To apply the ILC model to optimizing the drawbead geometry automatically, schemes of seamless integration of computer-aided engineering system into the CATIA platform and the drawbead geometry parameterization are adopted. Lastly, the rapidity and practicability of the optimization method for drawbead geometry are verified by the numerical experiment of the engine hood inner panel. |
| Starting Page | 1845 |
| Ending Page | 1861 |
| Page Count | 17 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 88 |
| Issue Number | 5-8 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2016-05-25 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Optimization method Drawbead geometry Sheet metal forming Iterative learning control model Industrial and Production Engineering Media Management Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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