Classification of Progressive Wear on a Multi-Directional Pin-on-Disc Tribometer Simulating Conditions in Human Joints-UHMWPE against CoCrMo Using Acoustic Emission and Machine Learning

Classification of Progressive Wear on a Multi-Directional Pin-on-Disc Tribometer Simulating Conditions in Human Joints-UHMWPE against CoCrMo Using Acoustic Emission and Machine Learning

Human joint prostheses experience wear failure due to the complex interactions between Ultra-High-Molecular-Weight Polyethylene (UHMWPE) and Cobalt-Chromium-Molybdenum (CoCrMo). This study uses the wear classification to investigate the gradual and progressive abrasive wear mechanisms in UHMWPE. Pin...

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Bibliographic Details
Main Authors: Pushkar Deshpande, Kilian Wasmer, Thomas Imwinkelried, Roman Heuberger, Michael Dreyer, Bernhard Weisse, Rowena Crockett, Vigneashwara Pandiyan
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Lubricants
Subjects:
UHMWPE
wear monitoring
Acoustic Emission
Online Access:https://www.mdpi.com/2075-4442/12/2/47

Internet

https://www.mdpi.com/2075-4442/12/2/47

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