Analytical and Computational Sliding Wear Prediction of Ultrahigh Molecular Weight Polyethylene (UHMWPE) in Block-on-Ring (BOR) Tribometer

Simple item page
aut.relation.endpage214
aut.relation.journalJurnal Tribologi
aut.relation.startpage194
aut.relation.volume41
dc.contributor.authorHussin, MS
dc.contributor.authorHamat, S
dc.contributor.authorKelly, PA
dc.contributor.authorFernandez, JW
dc.contributor.authorRamezani, M
dc.contributor.authorPranesh, K
dc.date.accessioned2024-11-12T01:38:13Z
dc.date.available2024-11-12T01:38:13Z
dc.date.issued2024-06
dc.description.abstractIn knee joint replacement, wear of Ultrahigh Molecular Weight Polyethylene (UHMWPE) can be a significant factor in shortening the implant life span. With advancements in computational technology, virtual testing has become more reliable at a lower cost compared to physical testing. This paper evaluates the wear coefficient, kD, from physical tests as a reliable predictor of wear volume in the computational method. The physical test run with a block-on-ring (BOR) configuration of UHMWPE on a steel counterface with 225N load for wear coefficient, kD acquisition and 130N load for computational prediction validation using the same wear coefficient, kD. The computational methodology involved the use of an Abaqus solver incorporating the UMESHMOTION subroutine to implement Archard's law. The maximum FEA result error was 14% in the 225N load test, and FEA prediction for the 130N load test was 17%. The results show that the wear coefficient,kD produced by coupling UMESHMOTION in the computational method, is reliable for predicting wear volume in BOR physical test.
dc.identifier.citationJurnal Tribologi, ISSN: 2289-7232 (Print); 2289-7232 (Online), 41, 194-214.
dc.identifier.issn2289-7232
dc.identifier.issn2289-7232
dc.identifier.urihttp://hdl.handle.net/10292/18286
dc.publisherMalaysian Tribology Society
dc.relation.urihttps://jurnaltribologi.mytribos.org/v41/JT-41-192-214.pdf
dc.rightsJurnal Tribologi (JTrib) is a publication of Malaysian Tribology Society (MYTRIBOS). This journal is an open access of peer-reviewed international journal, dedicated to the rapid publication of high quality papers on the important subjects both in areas of tribology and emerging fields, in which closely related to friction, wear and lubrication. This is an open access journal which means that all content is freely available without charge to the user or his/her institution. All papers are licensed under a Creative Commons Attribution- NonCommercial 4.0 International License.
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleAnalytical and Computational Sliding Wear Prediction of Ultrahigh Molecular Weight Polyethylene (UHMWPE) in Block-on-Ring (BOR) Tribometer
dc.typeJournal Article
pubs.elements-id574190
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Hussin et al_2024_Analytical and computational sliding wear prediction.pdf
Size:
1.34 MB
Format:
Adobe Portable Document Format
Description:
Journal article
Download
Collections
School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau