4.5 Article

Analysis of tribological behavior of medical-grade UHMW polyethylene under dry and lubricated conditions with human body fluids using Taguchi and GRA techniques

Journal

JOURNAL OF THERMOPLASTIC COMPOSITE MATERIALS
Volume 35, Issue 11, Pages 1940-1956

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/0892705720941907

Keywords

Biomaterials; wear rate; human serum; Taguchi method; synovial fluid

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This study focused on evaluating the tribological behavior of UHMWPE with different counterface materials under dry and lubricated sliding conditions. The results showed that UHMWPE performed better under synovial fluid lubrication conditions. Optimization techniques were used to determine the optimal conditions, and it was found that Ti6Al4V counterface material with a normal load of 52 N exhibited the best tribological performance with UHWMPE. The analysis of variance revealed that load was the most significant parameter affecting the coefficient-of-friction (COF) and specific wear rate (WR).
The present work focuses on evaluating the tribological behavior of ultrahigh molecular weight polyethylene (UHMWPE) with 316L stainless steel and Ti6Al4V under dry and lubricated sliding conditions using human body fluids (synovial fluid and human serum). Eighteen trials of experiments were performed using a reciprocating sliding tribometer (pin-on-disc) at 37 degrees C based on Taguchi's L-18(2(1)x 3(2)) array. The in-vitro experimental results revealed that UHMWPE offers better tribological performance under synovial fluid lubrication conditions irrespective of the counterface material. The optimization of the response variables (coefficient-of-friction (COF) and specific wear rate (WR)) was performed using optimization techniques (Taguchi and Grey relational analysis). It was revealed that Ti6Al4V counterface material under synovial fluid lubrication and normal load of 52 N exhibits the optimal tribological performance with UHWMPE. The contribution of process parameters on the COF and WR was evaluated using analysis of variance. It was established that load is the most significant parameter, affecting COF and WR.

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