IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v14y2014i1p107-129.html
   My bibliography  Save this article

Multi-objective optimisation of machining parameters in wire electrical discharge machine using non-dominating sorting genetic algorithm

Author

Listed:
  • P.C. Padhi
  • S.S. Mahapatra
  • S.N. Yadav
  • D.K. Tripathy

Abstract

The present work is aimed at optimising the cutting rate, surface roughness and dimensional deviation of EN-31 steel considering the simultaneous effect of various input parameters such as pulse on time, pulse off time, wire tension, spark gap set voltage and servo feed. Response surface methodology (RSM) is adopted to study the effect of independent variables on responses and develop predictive models. It is desired to obtain optimal parameter setting that can decrease surface roughness and dimensional deviation while increasing cutting rate. Since the responses are conflicting in nature, it is difficult to obtain a single combination of cutting parameters satisfying all the objectives in one solution. Therefore, it is essential to explore the optimisation landscape to generate the set of dominant solutions. Non-sorted genetic algorithm (NSGA) has been adopted to optimise the responses such that a set of mutually dominant solutions can be found out.

Suggested Citation

  • P.C. Padhi & S.S. Mahapatra & S.N. Yadav & D.K. Tripathy, 2014. "Multi-objective optimisation of machining parameters in wire electrical discharge machine using non-dominating sorting genetic algorithm," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 14(1), pages 107-129.
  • Handle: RePEc:ids:ijpqma:v:14:y:2014:i:1:p:107-129
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=63164
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijpqma:v:14:y:2014:i:1:p:107-129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.