A comparison of the different multiple response optimization techniques for turning operation of AISI O1 tool steel

  • Ravinder Kataria NATIONAL INSTITUTE OF TECHNOLOGY KURUKSHETRA (HARYANA) INDIA
  • Jatinder Kumar NATIONAL INSTITUTE OF TECHNOLOGY KURUKSHETRA (HARYANA) INDIA
Keywords: Material removal rate, multi-response optimization, surface roughness, Taguchi method, weighted signal-to-noise ratio.

Abstract

In this article, the effect of several process parameters such as tool nose radius, speed,feed and depth of cut on the machining performance of turning operation has beenstudied using AISI O1 tool steel as a work material. The machining characteristicsthat are being studied are material removal rate (MRR) and surface roughness (SR)of machined surface. Taguchi method is utilized for single response optimization. Formulti-response optimization, weighted signal-to-noise ratio (WSN), grey relationalanalysis (GRA), utility concept and technique for order preference by similarity toideal solution (TOPSIS) method have been utilized and their performance is evaluated.WSN method has been found to produce best results for multi-response optimizationfor this study.

Author Biography

Ravinder Kataria, NATIONAL INSTITUTE OF TECHNOLOGY KURUKSHETRA (HARYANA) INDIA

RESEARCH SCHOLOR

MECHANICAL ENGINEERING DEPTT.

NATIONAL INSTITUTE OF TECHNOLOGY
KURUKSHETRA (HARYANA)-136119
INDIA

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Published
2014-12-16