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Abstract

This research is focused on the study of the tribological properties of epoxy composites reinforced with red brick dust and glass fiber. Wear tests are conducted on a pin-on-disk apparatus. The wear rate and coefficient of friction are measured after tribological tests. The relative effect of process parameters such as sliding velocity, normal load, filler content on specific wear rate, and coefficient of friction is also examined using the Taguchi model and analysis of variance technique. Furthermore, an innovative optimization approach is adopted by combining grey relational analysis with the metaheuristic firefly algorithm to obtain the desired response values. A nonlinear regression model is generated to cater to the relationship between the grey relational grade and the process parameters. This model is further employed in the firefly algorithm to move the firefly to the neighboring brighter and attractive firefly. The most influencing factors for wear rate and friction coefficient are sliding velocity and normal load, respectively. This work not only opens up an opportunity for value-added utilization of waste material such as red brick dust but also the proposed metaheuristic approach can be customized and applied for any multi-response optimization problem.

Keywords

Red brick dust sliding wear Taguchi technique grey relational analysis firefly algorithm

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Effect of process parameters on sliding wear performance of red brick dust-filled glass–epoxy composites

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