Research Article Open Access

Machining Performance Study on Metal Matrix Composites-A Response Surface Methodology Approach

A. Srinivasan1, R. M. Arunachalam1, S. Ramesh1 and J. S. Senthilkumaar2
  • 1 Department of Mechanical Engineering, Sona College of Technology, Salem, Tamil Nadu, India
  • 2 Department of Mechanical Engineering, Varuvan Vadivelan Institute of Technology, Dharmapuri, Tamil Nadu, India

Abstract

Problem statement: Metal Matrix Composites (MMC) have become a leading material among composite materials and in particular, particle reinforced aluminum MMCs have received considerable attention due to their excellent engineering properties. These materials are known as the difficult-to-machine materials because of the hardness and abrasive nature of reinforcement element-like Alumina (Al2O3). Approach: In this study, an attempt has been made to model the machinability evaluation through the response surface methodology in machining of homogenized 10% micron Al2O3 LM25 Al MMC manufactured through stir casting method. Results: The combined effects of three machining parameters including cutting speed (s), feed rate (f) and depth of cut (d) on the basis of three performance characteristics of tool wear (VB), surface Roughness (Ra) and cutting Force (Fz) were investigated. The contour plots were generated to study the effect of process parameters as well as their interactions. Conclusion: The process parameters are optimized using desirability-based approach response surface methodology.

American Journal of Applied Sciences
Volume 9 No. 4, 2012, 478-483

DOI: https://doi.org/10.3844/ajassp.2012.478.483

Submitted On: 26 November 2011 Published On: 15 February 2012

How to Cite: Srinivasan, A., Arunachalam, R. M., Ramesh, S. & Senthilkumaar, J. S. (2012). Machining Performance Study on Metal Matrix Composites-A Response Surface Methodology Approach. American Journal of Applied Sciences, 9(4), 478-483. https://doi.org/10.3844/ajassp.2012.478.483

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Keywords

  • Metal Matrix Composites (MMC)
  • Optimization
  • Response Surface Methodology (RSM)
  • Tool wear
  • Surface roughness
  • Cutting force