Abstract
Taguchi method has been widely and successfully used for more than two decades to improve the quality and performance of the product. In this research article, grey-based Taguchi method was implemented to optimize the operating parameters of dry sliding abrasive wear behavior of areca sheath fiber reinforced polyvinyl alcohol composites. Composites were prepared by incorporating randomly oriented benzyl chloride-modified areca sheath fibers taking 10, 20 and 30 wt% and experiments were conducted according to Taguchi’s L27 orthogonal array by considering three factors and three levels affecting the abrasion process using pin-on-disc apparatus. Grey relational analysis was utilized to optimize the multi-response tribological parameters. Analysis of variance was utilized to determine the importance of factors affecting wear the most. The specific wear rates for all the composites were also compared and discussed. The optimum process parameter which gives the best multiple response characteristics was found to be load 15 N, sliding velocity 0.392 m/s and filler content of 30 wt%. An improvement of 4.19% in GRG was observed after confirmation test which proves that the multiple performance characteristics of the natural fiber reinforced polymer composites can be adequately enhanced by this technique. Scanning electron micrographs were obtained at the optimum setting to support the findings.
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Nayak, S., Mohanty, J.R. Optimization of operating parameters for abrasion of areca sheath reinforced polymer composite: grey based Taguchi approach. Int J Plast Technol 22, 26–40 (2018). https://doi.org/10.1007/s12588-017-9198-z
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DOI: https://doi.org/10.1007/s12588-017-9198-z