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Assessment of Tribological Performance of Al-Coconut Shell Ash Particulate—MMCs using Grey-Fuzzy Approach

  • Sivasankara Raju RallabandiEmail author
  • Gunji Srinivasa Rao
Original Contribution
  • 64 Downloads

Abstract

This paper deals with optimization of wear behaviour on aluminium metal matrix composites (AMC) filler by coconut shell ash (CSA) on pin-on-disc setup. The Al-CSA composites are fabricated with various volume percentages such as 5, 10 and 15% of CSA using compo casting technique. The properties of Al-CSA composites have been improve with increasing volume of CSA in base matrix. The experiments are carried out with three process parameters: load, percentage of CSA and sliding distance; and three adequate responses: wear (µm), wear rate (mm3/m) and coefficient of friction. This studied, a hybrid approach (that is, Grey-fuzzy) has been applied to optimizing the several responses. The fuzzy logic concept has been used for handling the uncertainty in the decision-making process. Analysis of variance (ANOVA) shown that the highest influencing parameter is load, followed with sliding distance and percentage of CSAp to the overall tribological performance.

Keywords

Wear Wear rate Coefficient of friction GRG GFRG Coconut shell ash 

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Copyright information

© The Institution of Engineers (India) 2017

Authors and Affiliations

  • Sivasankara Raju Rallabandi
    • 1
    Email author
  • Gunji Srinivasa Rao
    • 2
  1. 1.Department of Mechanical EngineeringGandhi Institute of Engineering and TechnologyGunupurIndia
  2. 2.Department of Mechanical EngineeringRVR & JC College of EngineeringGunturIndia

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