Abstract
Polymers and their composites are being increasingly employed in view of their good strengths and corrosion resistance. The features that make the polymer composites in industrial applications are the opportunities to tailor their properties with special fillers. For instance, short carbon and glass fibers have been successfully employed to improve the strength and therefore the load carrying capacity of polyamide composites can also be improved Optimization of parameters is an important in the tribological process. Response surface methodology (RSM) based optimal parameter analysis was performed to investigate the change of responses like wear rate (WR) and coefficient of friction (COF) with the change of input parameters to determine optimum setting of process parameters such as normal force, sliding velocity and reinforcement for achieving minimum WR and COF. The regression model generates the response surfaces. The present study is to optimize the parameter setting for combined responses.
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