Assessment of Tribological performance of Coconut Shell Ash Particle Reinforced Al-Si-Fe Composites using Grey-Fuzzy Approach

Journal Title: Tribology in Industry - Year 2017, Vol 39, Issue 3

Abstract

The paper investigates optimization of wear behaviour of coconut shell ash (CSA) reinforced aluminium composites using pin-on-disc setup. The experiments were carried out with three process parameters: Load, percentage (%) of CSA and sliding distance. Three adequate responses: wear (µm), wear rate (mm3/m) and coefficient of friction were considered. In this study, a hybrid approach (i.e. 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) discloses that the highest influencing parameter was load, followed by sliding distance and % of CSAp to the overall tribological performance.

Authors and Affiliations

R. S. S. Raju, G. S. Rao

Keywords

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  • EP ID EP229720
  • DOI 10.24874/ti.2017.39.03.12
  • Views 84
  • Downloads 0

How To Cite

R. S. S. Raju, G. S. Rao (2017). Assessment of Tribological performance of Coconut Shell Ash Particle Reinforced Al-Si-Fe Composites using Grey-Fuzzy Approach. Tribology in Industry, 39(3), 364-377. https://europub.co.uk./articles/-A-229720