OPTIMIZATION OF MACHINING PARAMETERS FOR TURNING AL-SIC (10P) MMC USING TAGUCHI GREY RELATIONAL ANALYSIS

Authors

  • Ramanujam Radhakrishnan Anna University
  • Raju Ramasamy Anna University
  • Nambi Muthukrishnan Anna Univeristy

DOI:

https://doi.org/10.23055/ijietap.2011.18.11.385

Keywords:

Production Design, parameter optimization

Abstract

This paper presents the detailed experimental investigation on turning Aluminium silicon Carbide particulate Metal Matrix Composite (Al-SiC –MMC) using polycrystalline diamond (PCD) fine grade insert. Experiments were carried out on a medium duty lathe. A plan of experiments, based on the techniques of Taguchi, was performed. Analysis of variance (ANOVA) is used to investigate the machining characteristics of MMC (A356/10/SiCP). The objective was to establish a correlation between cutting speed, feed and depth of cut with the specific power and surface finish on the work piece. The optimum machining parameters were obtained by using grey relational analysis for minimum power consumption and better surface finish. Finally, confirmation tests were performed to make a comparison between the experimental results and developed model.

Author Biographies

Ramanujam Radhakrishnan, Anna University

Senior Lecturer, Department of Mechanical Engineering, Sri Venkateswara college of eningeering, Sriperumbudur, Chennai - 602105. INDIA.

Raju Ramasamy, Anna University

Associate Professor,

Department of Industrial Engineering,

Anna Univeristy, Chennai - 600025.

India.

Nambi Muthukrishnan, Anna Univeristy

Professor, Department of Mechanical Engineering, Sri Venkateswara college of eningeering, Sriperumbudur, Chennai - 602105. INDIA.

Published

2011-12-29

How to Cite

Radhakrishnan, R., Ramasamy, R., & Muthukrishnan, N. (2011). OPTIMIZATION OF MACHINING PARAMETERS FOR TURNING AL-SIC (10P) MMC USING TAGUCHI GREY RELATIONAL ANALYSIS. International Journal of Industrial Engineering: Theory, Applications and Practice, 18(11). https://doi.org/10.23055/ijietap.2011.18.11.385

Issue

Section

Manufacturing and Control