IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v32y2018i6p533-551.html
   My bibliography  Save this article

Performance improvement of machining parameters in electrical discharge machining process of tool steel 2714

Author

Listed:
  • Sameh Habib

Abstract

Electrical discharge machining (EDM) is an extremely prominent machining process among newly developed non-traditional machining techniques for difficult-to-cut materials. Though a lot of research has been done to improve the process performance, optimal selection of process parameters for the best performance measures still remains a challenge. In this work, the performance of electrical discharge machining process when cutting hot work tool steel 2714 with copper electrodes has been investigated. Orthogonal array of L27 (3*4) based on the Taguchi experimental design is utilised to plan the experiments. Raw data is assessed by the analysis of variance (ANOVA) to find optimal conditions for response parameters. The main machining parameters such as pulse-on time, pulse-off time, discharge current and average machining voltage are chosen to determine the EDM response parameters such as material removal rate, surface roughness and gap size. Response tables and graphs are used to find the optimal parameter level in the EDM process.

Suggested Citation

  • Sameh Habib, 2018. "Performance improvement of machining parameters in electrical discharge machining process of tool steel 2714," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 32(6), pages 533-551.
    • Handle: RePEc:ids:ijmtma:v:32:y:2018:i:6:p:533-551
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=95028
    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:6:p:533-551. 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.