Influence of process parameters and electrode geometry on feature micro-accuracy in electro discharge machining of tool steel

N. Pellicer, J. Ciurana, T. Ozel

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

Agile manufacturing capabilities require fast responses in workshops to cope with different demands in product geometrical features and qualities in fabricating moulds. Therefore, direct machining of complex mould features using simple shape machined electrodes with the electro-discharge machining (EDM) process, empowers the flexibility and the capacity of the enterprises and dramatically reduces lead times resulting in much more efficient production processes. In the case of machining geometrical features with characteristic dimensions in the order of few millimeters, the EDM process requires further understanding. This article focuses on investigating the influence of EDM parameters and electrode geometry on feature micro-accuracy in tool steel for mould fabrication purposes. A set of designed experiments with varying EDM process parameters such as pulsed current, open voltage, pulse time, and pulse pause time is carried out in H13 steel using differently shaped copper electrodes. Microdimensional and geometrical accuracies are the measures of response. Artificial neural network and regression models have been constructed to capture the influence of the process parameters on the geometrical feature quality such as flatness, depth, slope, width, and dimension variation between the entrance and the exit (DVEE).

Original languageEnglish (US)
Pages (from-to)1282-1289
Number of pages8
JournalMaterials and Manufacturing Processes
Volume24
Issue number12
DOIs
StatePublished - Dec 1 2009

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Materials Science(all)
  • Industrial and Manufacturing Engineering

Keywords

  • Artificial neural network modeling
  • EDM technology
  • Mould making
  • Process parameters

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