• DocumentCode
    3370982
  • Title

    Erosion rate model comparison of Electrical Discharge Machining process

  • Author

    Yahya, Azli ; Andromeda, Trias ; Rahim, Muhammad Arif Abdul ; Baharom, Ameruddin

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • Volume
    1
  • fYear
    2012
  • fDate
    12-14 June 2012
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    This paper reports a comparison studies between two erosion rate model and experimental results of an Electrical Discharge Machining (EDM) process for high gap current. Two erosion rate models are Dimensional Analysis (DA) model and Artificial Neural Network (ANN) model that have been summarized from the previous author´s publication. The data analysis is based on a copper electrode and steel workpiece materials. The result indicated that the ANN model provides better accuracy than the DA model when compared to the experimental results.
  • Keywords
    copper; data analysis; electrical discharge machining; neural nets; production engineering computing; steel; ANN model; Cu; DA model; EDM process; artificial neural network; copper electrode; dimensional analysis model; electrical discharge machining process; erosion rate model comparison; steel workpiece materials; Analytical models; Artificial neural networks; Discharges (electric); Electrodes; Machining; Materials; Mathematical model; Artificial Neural Network; Dimensional Analysis; Electrical Discharge Machining; MRR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-1968-4
  • Type

    conf

  • DOI
    10.1109/ICIAS.2012.6306172
  • Filename
    6306172