IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v32y2018i4-5p381-395.html
   My bibliography  Save this article

Multi-objective optimisation of EDM process using ANN integrated with NSGA-II algorithm

Author

Listed:
  • Shiba Narayan Sahu
  • Narayan Chandra Nayak

Abstract

Simultaneous optimisation of each selected parameter in case of EDM process is difficult. As a result, modelling and optimisation of EDM process has been emerged as a prominent research area. This paper presents an artificial intelligent approach for process modelling and optimisation of A2 steel using EDM. In this investigation, appropriate manufacturing conditions, optimal MRR and TWR are focussed. Initially, process modelling of MRR and TWR of A2 steel using EDM has been performed by ANN. Then, NSGA-II has been implemented to find out the best trade-ups between the two conflicting response parameters MRR and TWR. Maximum MRR is achieved at upper bound parameter settings of Ip and Tau and lower bound parameter settings of Ton and V. Again, optimum TWR can be achieved by the lower bound parameter settings of Ip and Tau, upper bound of V, and the middle of the machining range of Ton.

Suggested Citation

  • Shiba Narayan Sahu & Narayan Chandra Nayak, 2018. "Multi-objective optimisation of EDM process using ANN integrated with NSGA-II algorithm," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 32(4/5), pages 381-395.
    • Handle: RePEc:ids:ijmtma:v:32:y:2018:i:4/5:p:381-395
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=93356
    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:ijmtma:v:32:y:2018:i:4/5:p:381-395. 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=21 .

    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.