Prediction of Wear Rates of UHMWPE Bearing in Hip Joint Prosthesis with Support Vector Model and Grey Wolf Optimization

Basit Öğe Kaydı
dc.authorscopusid57222478767
dc.authorscopusid37071971700
dc.authorscopusid57223961736
dc.authorscopusid57191431339
dc.authorscopusid57210799159
dc.authorscopusid55062117500
dc.authorscopusid56708586500
dc.contributor.authorHammam, Rania E.
dc.contributor.authorAttar, Hani
dc.contributor.authorAmer, Ayman
dc.contributor.authorIssa, Haitham
dc.contributor.authorVourganas, Ioannis
dc.contributor.authorSolyman, Ahmed
dc.contributor.authorVenu, P.
dc.date.accessioned2024-09-11T19:57:55Z
dc.date.available2024-09-11T19:57:55Z
dc.date.issued2022
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractOne of the greatest challenges in joint arthroplasty is to enhance the wear resistance of ultrahigh molecular weight polyethylene (UHMWPE), which is one of the most successful polymers as acetabular bearings for total hip joint prosthesis. In order to improve UHMWPE wear rates, it is necessary to develop efficient methods to predict its wear rates in various conditions and therefore help in improving its wear resistance, mechanical properties, and increasing its life span inside the body. This article presents a support vector machine using a grey wolf optimizer (SVM-GWO) hybrid regression model to predict the wear rates of UHMWPE based on published polyethylene data from pin on disc (PoD) wear experiments typically performed in the field of prosthetic hip implants. The dataset was an aggregate of 29 different PoD UHMWPE datasets collected from Google Scholar and PubMed databases, and it consisted of 129 data points. Shapley additive explanations (SHAP) values were used to interpret the presented model to identify the most important and decisive parameters that affect the wear rates of UHMWPE and, therefore, predict its wear behavior inside the body under different conditions. The results revealed that radiation doses had the highest impact on the model's prediction, where high values of radiation doses had a negative impact on the model output. The pronounced effect of irradiation doses and surface roughness on the wear rates of polyethylene was clear in the results when average disc surface roughness Ra values were below 0.05 ?m, and irradiation doses were above 95 kGy produced 0 mg/MC wear rate. The proposed model proved to be a reliable and robust model for the prediction of wear rates and prioritizing factors that most significantly affect its wear rates. The proposed model can help material engineers to further design polyethylene acetabular linings via improving the wear resistance and minimizing the necessity for wear experiments. © 2022 Rania E. Hammam et al.en_US
dc.identifier.doi10.1155/2022/6548800
dc.identifier.issn1530-8669en_US
dc.identifier.scopus2-s2.0-85130645133en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1155/2022/6548800
dc.identifier.urihttps://hdl.handle.net/11363/8364
dc.identifier.volume2022en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherHindawi Limiteden_US
dc.relation.ispartofWireless Communications and Mobile Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240903_Gen_US
dc.subjectArthroplasty; Bearings (machine parts); Forecasting; Hip prostheses; Irradiation; Nonmetallic matrix composites; Regression analysis; Support vector machines; Surface roughness; Wear of materials; Wear resistance; Condition; Gray wolves; Hip joint prosthesis; Irradiation dose; Optimisations; Pin on disk; Support vector; Ultra-high molecular weight polyethylenes (UHMWPE); Vector-modeling; Wear-rate; Ultrahigh molecular weight polyethylenesen_US
dc.titlePrediction of Wear Rates of UHMWPE Bearing in Hip Joint Prosthesis with Support Vector Model and Grey Wolf Optimizationen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu