Abstract | ||
---|---|---|
The selection of machining parameters and machine settings for wire electrical discharge machining (WEDM) depends mainly on both technologies and experience provided by machine tool manufacturers. The present work designs a knowledge-based system (KBS) to select the optimal process parameters settings and diagnose the machining conditions for WEDM. Moreover, the present results supply users of WEDM with beneficial data avoiding further experimentation. Various materials are tested and sample results are presented for improving the WEDM performance. |
Year | DOI | Venue |
---|---|---|
2003 | 10.1007/978-3-540-45224-9_94 | LECTURE NOTES IN COMPUTER SCIENCE |
Keywords | Field | DocType |
machine tool,knowledge based system,electric discharge machining | Automotive engineering,Electrical discharge machining,Computer science,Knowledge-based systems,Machining,Machine tool | Conference |
Volume | ISSN | Citations |
2773 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Samy Ebeid | 1 | 0 | 0.34 |
Raouf Fahmy | 2 | 0 | 0.34 |
Sameh Habib | 3 | 0 | 0.68 |