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Journal of Polymer & Composites Original Research Special issue

Tribological Behaviour of PTFE based Composite Materials with Different Filler Materials: A Combine Numerical and Experimental Approach

  1. Abhijeet R. Deshpande Department of Mechanical Engineering, Vishwakarma Institute of Information Technology, Pune
  2. Atul Kulkarni Department of Mechanical Engineering, Vishwakarma Institute of Technology, Pune
  3. Prashant Anerao Department of Mechanical Engineering, Vishwakarma Institute of Technology, Pune
  4. Chinmay Nerlekar Department of Mechanical Engineering, Vishwakarma Institute of Information Technology, Pune
  5. Vedant Patil Department of Mechanical Engineering, Vishwakarma Institute of Information Technology, Pune

Abstract

This study investigates the tribological behaviour of Polytetrafluoroethylene (PTFE) composites reinforced with various fillers, utilizing the Archard wear model to analyse wear mechanisms and predict wear rates. PTFE is widely recognized for its excellent chemical resistance and low friction, but its inherent wear resistance is relatively poor. To enhance its tribological properties, fillers such as glass fibres, carbon fibres, bronze, and graphite were incorporated into the PTFE matrix. In the present study, fillers materials chosen were carbon, graphene, bronze, MoS2 and based material selected as PTFE. The load range sliding velocity range considered between 60 N to 180 N and 1 m/s to 5 m/s for both Archard wear model based numerical simulation. However experimental validation of the result was performed using Pin-on-Disc test setup under dry sliding conditions. The wear volume was measured, and the Archard wear coefficient was determined for each composite experiment. It is observed that fillers significantly improve the wear resistance of PTFE. Among the fillers, graphite showed the most substantial reduction in wear rate due to its solid lubricating properties, while glass fibres enhanced the mechanical strength, thereby reducing the wear volume. The Archard wear model provided a robust framework for understanding the wear mechanisms in these composites. The model's predictions were in synchronisation with the experimental data, demonstrating its applicability in estimating the wear behaviour of filled PTFE. The findings suggest that by selecting appropriate fillers and optimizing their concentrations, the wear performance of PTFE can be significantly enhanced, making it suitable for a broader range of engineering applications. This study contributes to the development of high-performance PTFE-based composites and underscores the importance of using predictive models like Archard's to design materials with superior tribological properties.

Keywords

References (27)

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