Machine learning‐based investigations of the effect of surface texture geometry on the wear behaviour of UHMWPE bearings in hip joint implants

Machine learning‐based investigations of the effect of surface texture geometry on the wear behaviour of UHMWPE bearings in hip joint implants

Abstract The purpose of this research is to develop data‐driven machine learning (ML) models capable of estimating the specific wear rate of ultra‐high molecular weight polyethylene (UHMWPE) used in hip replacement implants. The results of the data‐driven models are demonstrating a high level of con...

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Bibliographic Details
Main Authors: Vipin Kumar, Ravi Prakash Tewari, Anubhav Rawat
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Biosurface and Biotribology
Subjects:
artificial joint
biomaterials
biomechanics
biomedical application
biomedical devices
bionic surface
Online Access:https://doi.org/10.1049/bsb2.12085

Internet

https://doi.org/10.1049/bsb2.12085

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