An intelligent pulse classification system for electro-chemical discharge machining (ECDM) - a preliminary study

T. K.K.R. Mediliyegedara, A. K.M. De Silva*, D. K. Harrison, J. A. McGeough

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

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 languageEnglish
Pages (from-to)499-503
Number of pages5
JournalJournal of Materials Processing Technology
Volume149
Issue number1-3
Early online date18 May 2004
DOIs
Publication statusPublished - 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

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