Multi-response optimisation of EDM parameters using data envelopment analysis

Jambeswar Sahu, Siba Sankar Mahapatra and Chinmaya P. Mohanty

International Journal of Productivity and Quality Management, 2015, vol. 15, issue 3, 309-334

Abstract: In this work, machinability studies of AISI D2 steel on a die-sinking electrical discharge machine (EDM) using brass tool has been reported. A response surface methodology (RSM) is adopted to establish effect of various process parameters on important responses. Data envelopment analysis (DEA) is adopted to obtain relative efficiency for each experimental run treating them as decision making units (DMUs). Considering the relative efficiency as an equivalent response, the effect of each processing parameter is analysed and the optimal setting is reported. With the best combination of parameter setting, a thermo-physical model is developed to validate the optimal setting.

Keywords: response surface methodology; RSM; data envelopment analysis; DEA; material removal rate; MRR; tool wear rate; TWR; decision making units; DMUs; relative efficiency; thermo-physical modelling; multi-response optimisation; EDM parameters; die-sinking EDM; electrical discharge machining; electro-discharge machining; brass tools. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=68472 (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:15:y:2015:i:3:p:309-334

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 ().