A Review on Predicting Wear and Friction of PTFE Composites – Fillers to Machine Learning Models

Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial.

Authors

Publication Details

Journal
Journal of Polymer & Composites
Published
2025-01-01
DOI
https://doi.org/10.37591/jopc.v13i04.210540
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A Review on Predicting Wear and Friction of PTFE Composites – Fillers to Machine Learning Models

Abhijeet Deshpande, Atul Kulkarni, Prashant Anerao, Swapnil Shah et al.
4 links
Journal of Polymer & Composites
Tribology and Wear Analysis
article

A Review on Predicting Wear and Friction of PTFE Composites – Fillers to Machine Learning Models

Abhijeet Deshpande, Atul Kulkarni, Prashant Anerao, Swapnil Shah, Pranav Kulkarni
article en

Abstract

Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial.

Journal of Polymer & Composites
Openalex Percentile: Top 79%
Tribology and Wear Analysis
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A Review on Predicting Wear and Friction of PTFE Composites – Fillers to Machine Learning Models — Abhijeet Deshpande, Atul Kulkarni, et al. · Journal of Polymer & Composites (2025) | TGRS Research Map | TGRS