Fevzi Kafexhiu, Igor Velkavrh, Thomas Wright, Léo Bonal, Igor Belič
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Adaptive Algorithm for Automated CoF Evaluation in Reciprocating Friction Tests
This study presents the development of an adaptive and interactive algorithm for the evaluation and statistical analysis of the static, dynamic, and integral coefficients of friction (CoF) from high-resolution friction signals. The algorithm is grounded in extensive data collected from a variety of reciprocating friction test configurations, with two representative cases analyzed in detail. Its performance was validated against previously developed semi-automatic evaluation methods. The validation confirmed the algorithm’s robustness and adaptability to different test configurations and varying parameters throughout the testing process. Overall, the algorithm demonstrates high reliability and efficiency, establishing a foundation for a systematic and unified approach to CoF evaluation and addressing a significant gap in tribological data analysis.
期刊介绍：
Tribology Letters is devoted to the development of the science of tribology and its applications, particularly focusing on publishing high-quality papers at the forefront of tribological science and that address the fundamentals of friction, lubrication, wear, or adhesion. The journal facilitates communication and exchange of seminal ideas among thousands of practitioners who are engaged worldwide in the pursuit of tribology-based science and technology.
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