Optimization of Multi-Responses in Hot Turning of Inconel 625 Alloy Using DEA-Taguchi Approach

Abstract:

In the present work DEA (data envelopment analysis) coupled with Taguchi method has used for optimization in process parameters of hot turning operation. An experimental investigation has been carried out to study the effect of cutting parameters such as speed, feed and depth of cut during. The material removal rate and surface finish, are to be studied with respect to machining at 450 temperature by heating Inconel 625. In order to achieve both quality and productivity, optimization of both is necessary simultaneously. DEA –Taguchi method can employed for solving in multi-response problem. LINGO software was used to find out the relative efficiency and converted to S/N ratio using MINITAB software. The optimization of the machining parameter found at 100 m/min cutting speed, 0.15 mm/rev feed rate and 1 mm depth of cut. Depth of cut is the most influencing parameter which affect both surface finish and material removal rate in the machining process.

• Periodical: International Journal of Engineering Research in Africa (Volume 24)
• Pages: 57-63
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.24.57
• Online since: June 2016
• Authors: Asit Kumar Parida*, K.P. Maity
• Keywords: DEA, DMU, Hot Turning, Relative Efficiency, Taguchi

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