Predicting the polyethylene wear rate in pin-on-disc experiments in the context of prosthetic hip implants: deriving a data-driven model using machine learning methods.
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DOI: 10.1016/j.triboint.2019.01.014
Abstract: Pin-on-disc (PoD) experiments are widely used to quantify and rank wear of different material couples for prosthetic hip implant bearings. However, polyethylene wear results obtained from different PoD experiments are sometimes difficult to compare, which… read more here.
Keywords: pin disc; polyethylene wear; pod; machine learning ... See more keywords