Artificial Intelligence Model to Predict Surface Roughness of Ti-15-3 Alloy in EDM Process
Conventionally the selection of parameters depends intensely on the operator’s experience or conservative technological data provided by the EDM equipment manufacturers that assign inconsistent machining performance. The parameter settings given by the manufacturers are only relevant with common st...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1223/ http://umpir.ump.edu.my/id/eprint/1223/ http://umpir.ump.edu.my/id/eprint/1223/1/Rahman_Khan.PDF |