Abstract
One of the impediments to the wide application of electrical discharge machining (EDM) is the complexity of the process planning. To solve the complex problem of EDM technique puzzling the operators, in this paper, an intelligent CAPP system is implemented. A formalized representation for the complicated techniques knowledge of EDM is constructed, based on which Rules-based Simply Petri Net(SPN) is set up for intelligent selection of machining method and Genetic Algorithm is used to achieve a global optimization.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 |
| Editors | H. Yang, L. Qiao, I.-S. Fan |
| Pages | 377-382 |
| Number of pages | 6 |
| State | Published - 2003 |
| Event | Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 - Beijing, China Duration: 4 Dec 2003 → 6 Dec 2003 |
Publication series
| Name | Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 |
|---|
Conference
| Conference | Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 4/12/03 → 6/12/03 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- CAPP
- EDM
- Genetic algorithm
- Petri net
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