Abstract
Electro-chemical discharge machining (ECDM) is a hybrid process which combines features of electro-chemical machining (ECM) and electro-discharge machining (EDM). In order to develop a control strategy for this complex process, a preliminary study of a pulse classification system was carried out. By observing the voltage and current waveforms, pulses were classified in to five groups. A feed-forward neural network was trained to classify pulses with various activation functions. Five different activation functions have been employed for comparison. The trained neural networks were simulated. A quantitative analysis was performed to evaluate the performance of pulse classification system.
Original language | English |
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Pages (from-to) | 499-503 |
Number of pages | 5 |
Journal | Journal of Materials Processing Technology |
Volume | 149 |
Issue number | 1-3 |
Early online date | 18 May 2004 |
DOIs | |
Publication status | Published - 10 Jun 2004 |
Keywords
- Artificial neural networks
- Electro-chemical discharge machining
- Electro-chemical machining
ASJC Scopus subject areas
- Ceramics and Composites
- Computer Science Applications
- Metals and Alloys
- Industrial and Manufacturing Engineering