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A Statistical Analysis to Optimize Wear Properties of Hybrid Polymer PTFE Composites

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Emerging Trends in Mechanical Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Polymers are steadily playing a major material role over traditional bearing materials currently being used because of their unique properties including self-lubrication, silent in operation, and less weight. Polytetrafluoroethylene (PTFE) widely known as Teflon is a miracle material in the category of polymers which is found to be best suited for bearing applications. The present work is on tribological behavior of hybrid polymers. Taguchi Orthogonal array is employed for designing the experimental layout. Wear and friction coefficient were measured by pin on disk tribometer. The experimental layout was developed by design of experiments. The difference between the wear and friction values obtained through experimental and mathematical model found to be less than 5%. From the regression table, it is inferred that wear rate is more dependent on load, whereas sliding distance is the most significant factor affecting the coefficient of friction. SEM images were taken in order to study the surface morphology of the PTFE composites, and results have shown that PTFE + Graphite + MoS2 type of composite is more wear resistant when compared to the PTFE + Graphite and virgin PTFE.

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Correspondence to Y. P. Deepthi .

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Harish, G., Harsha Vardhan, P., Deepthi, Y.P. (2020). A Statistical Analysis to Optimize Wear Properties of Hybrid Polymer PTFE Composites. In: Vijayaraghavan, L., Reddy, K., Jameel Basha, S. (eds) Emerging Trends in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9931-3_59

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  • DOI: https://doi.org/10.1007/978-981-32-9931-3_59

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9930-6

  • Online ISBN: 978-981-32-9931-3

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