• DocumentCode
    694149
  • Title

    Selection of non-traditional machining process: A distance based approach

  • Author

    Choudhury, Tonmoy ; Das, Partha Pratim ; Roy, M.K. ; Shivakoti, I. ; Ray, Avik ; Pradhan, B.B.

  • Author_Institution
    Dept. of Mech. Eng., Sikkim Manipal Inst. of Technol., Manipal, India
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    852
  • Lastpage
    856
  • Abstract
    With accelerating progress in the field of machining, use of newer and harder materials like titanium, stainless steel, high-strength temperature-resistant (HSTR) alloys and ceramics has become common and has resulted in a number of available Non-traditional machining (NTM) processes. With increased number of available options, the need arises to select the most efficient NTM process for machining a desired shape feature on a given material. This paper focuses on selection of NTM process based on hybridized `technique for order preference by similarity to ideal solution´ (TOPSIS) and an analytical hierarchy process (AHP) expert system in which an AHP matrix is referred. The weights of this matrix are obtained from the process selection criteria. Further depending upon the weights obtained, the relative closeness of the NTM alternatives are evaluated using TOPSIS which shows that Electrochemical Machining(ECM) and Plasma arc Machining(PAM) are the best NTM processes and the worst NTM process is Electro Discharge Machining(EDM).
  • Keywords
    TOPSIS; electrical discharge machining; electrochemical machining; expert systems; plasma materials processing; production engineering computing; AHP expert system; ECM; EDM; NTM process; PAM; TOPSIS; analytical hierarchy process; ceramics; electrochemical machining; electrodischarge machining; high-strength temperature- resistant alloys; nontraditional machining process; plasma arc machining; stainless steel; technique for order preference by similarity to ideal solution; titanium; Aluminum; Analytic hierarchy process; Expert systems; Machining; Materials; Shape; Surface treatment; AHP; NTM; TOPSIS; expert system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962532
  • Filename
    6962532