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

Smitanjali Behera, Suchismita Satapathy and Surendra K. Ghadai

International Journal of Productivity and Quality Management, 2015, vol. 16, issue 2, 148-168

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 (I_p) 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.

Keywords: metal matrix composites; MMCs; powder-mixed EDM; electrical discharge machining; PMEDM; grey relational analysis; GRA; multiresponse optimisation; orthogonal arrays; parameter optimisation; silicon carbide; SiC reinforcement; aluminium oxide; Al2O3; Taguchi methods; electro-discharge machining; design of experiments; DOE; ANOVA. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=71237 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:16:y:2015:i:2:p:148-168

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().