Abstract
This research focuses on the utilization of corn cob ash (CCA) particle reinforcement in the matrix of epoxy resin to develop low-friction and wear-resistant epoxy composites. Composites with CCA weight percentages of 2, 6 and 10% were fabricated and subsequently tested for their tribological performance using a Pin-on-Disc tribometer. Response surface methodology was implemented to generate mathematical models for friction and wear responses of the composites in terms of CCA content, normal load and sliding speed. Further, Teaching Learning Based Optimization (TLBO) algorithm was run using these models for optimization of individual responses. The worn surfaces were examined from electron micrographs to get a clear understanding of wear mechanisms experienced by composites.
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