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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
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| Series: | Biosurface and Biotribology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/bsb2.12085 |
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