IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v16y2015i2p148-168.html
   My bibliography  Save this article

Parameter optimisation of powder mixed EDM of aluminium-based metal matrix composite using Taguchi and grey analysis

Author

Listed:
  • Smitanjali Behera
  • Suchismita Satapathy
  • Surendra K. Ghadai

Abstract

Powder-mixed electrical discharge machining (PMEDM), a non-conventional manufacturing process involves the use of a dielectric fluid mixed with abrasive powder (Al2O3), combines the benefits of mechanical and thermal interactions. The aim of this article is to use a new approach of performance evaluation to evaluate the effectiveness of optimising multiple performance characteristics of PMEDM of SiC reinforced ZA-27 metal matrix composites (MMCs). Taguchi analysis is used to plan and analyse the experiment and grey relational analysis (GRA) for multi-parameter analysis. The considered process parameter includes the four control factors namely powder concentration, % Sic in MMC, pulse current (Ip) and duty cycle (τ). The combination of L9 orthogonal array design of experiment with GRA enables to determine the optimal parameters for multiple responses. GRA is used to obtain a single performance index, grey relational grade through grey relational coefficient to optimise the PMEDM process. In addition, analysis of variance (ANOVA) for the GRC is also utilised.

Suggested Citation

  • Smitanjali Behera & Suchismita Satapathy & Surendra K. Ghadai, 2015. "Parameter optimisation of powder mixed EDM of aluminium-based metal matrix composite using Taguchi and grey analysis," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 16(2), pages 148-168.
    • Handle: RePEc:ids:ijpqma:v:16:y:2015:i:2:p:148-168
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=71237
    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:16:y:2015:i:2:p:148-168. 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.