• DocumentCode
    2165576
  • Title

    An effective algorithm model for a soft PIN System

  • Author

    Sharma, Mukesh ; Rishi, O.P. ; Prakash, R. ; Mishra, Durgesh Kumar

  • Author_Institution
    CMJ Univ., Meghalaya, India
  • fYear
    2012
  • fDate
    5-7 Sept. 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper concept of implementation of the soft computing approach is introduced for the environment friendly steel hardening processing unit, i.e. for Plasma Ion Nitriding (PIN) System. In Plasma Ion Nitriding system, a proper and efficient mechanism is required to meet the problem of finding process parameters involved in the surface hardening treatment of different types of steel. The algorithmic model proposed here is meant to facilitate the prediction of values of the process parameters required to be identified for the surface hardening of the steel in the PIN system. Here, an effort has been made to provide an effective and efficient algorithmic solution model for the soft computing based Plasma Ion Nitriding system.
  • Keywords
    plasma materials processing; production engineering computing; steel; surface hardening; uncertainty handling; algorithmic solution model; computing based plasma ion nitriding system; environment friendly steel hardening processing unit; process parameter; soft PIN system; soft computing approach; surface hardening treatment; Algorithm design and analysis; Cognition; Computational modeling; Plasmas; Prediction algorithms; Steel; Surface treatment; Case Based Reasoning (CBR; K-Nearest Neighbor (KNN) Algorithm; Material Engineering; Soft Plasma Ion Nitriding (SPIN) System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (CONSEG), 2012 CSI Sixth International Conference on
  • Conference_Location
    Indore
  • Print_ISBN
    978-1-4673-2174-7
  • Type

    conf

  • DOI
    10.1109/CONSEG.2012.6349502
  • Filename
    6349502