Understanding polyethylene wear mechanisms by modeling of debris size distributions

Williams, Paul A.; Clarke, Ian C.

doi:10.1016/j.wear.2008.12.069

Cited by 13 publications

(8 citation statements)

References 33 publications

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“…Previously, we have shown that the size distribution of PE debris from total hip simulators can be represented as a mixture model of at least two distributions 53. The size distributions from this study behaved in a manner more consistent with those from Elfick et al and our previous work 52, 53. Therefore, this study would suggest that care should be taken in the statistical analysis and interpretation of wear debris particle size.…”

Section: Discussionsupporting

confidence: 83%

“…In addition, the volume fractions did not seem to correspond to a single distribution 52, 53. Previously, we have shown that the size distribution of PE debris from total hip simulators can be represented as a mixture model of at least two distributions 53. The size distributions from this study behaved in a manner more consistent with those from Elfick et al and our previous work 52, 53.…”

Section: Discussionsupporting

confidence: 71%

“…Elfick and coworkers demonstrated measurable affects in the volume fraction distributions, while showing very small, if any effects with the number fractions 52. In addition, the volume fractions did not seem to correspond to a single distribution 52, 53. Previously, we have shown that the size distribution of PE debris from total hip simulators can be represented as a mixture model of at least two distributions 53.…”

Section: Discussionmentioning

confidence: 79%

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Viscosity effects in the photopolymerization of two‐monomer systems

Marcinkowska

Andrzejewska

2009

J of Applied Polymer Sci

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Photopolymerization kinetics and viscosity behavior of five different two-monomer systems forming hydrogen bonds and composed of mixtures of a high viscosity monomer (HVM) and a low viscosity monomer (LVM) at various molar ratios were investigated at six polymerization temperatures. The monomers used were mono-or dimethacrylates. Detailed viscosity measurements of the monomer mixtures showed significant negative deviations from the theoretical values (characterized by excess logarithm viscosities) indicating that interactions between the molecules of the same type (in individual monomers) are stronger than those between two molecules of different types (HVM and LVM). The photopolymerization kinetics were analyzed from the point of view of the appearance, viscosity and temperature behavior of the most reactive composition (MRC), the one showing the highest value of the maximum polymerization rate within a range of the HVM: LVM ratios. It was found that MRC appearance is determined mainly by the initial viscosity of the twomonomer system, whereas the functionality of the monomers (and network formation) is much less important (MRC is observed even in linear systems). The initial viscosity of all the monomer mixtures showing MRC lay in the range of 0.06-2 Pa s, which is narrow compared to the range of viscosities of the monomers (approximately 10 À3-10 3 Pa s).

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Section: Discussionsupporting

confidence: 83%

Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 79%

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Viscosity effects in the photopolymerization of two‐monomer systems

Marcinkowska

Andrzejewska

2009

J of Applied Polymer Sci

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“…We hypothesized that total wear and the relative contribution of backside wear to total wear would increase with increasing AP motion because of the higher stresses applied to the polyethylene constraints and locking mechanism. A secondary aim was to compare the wear particle size and morphology and the estimated number of particles resulting from the in‐vivo–determined gait patterns and the ISO standard, given this can inform on polyethylene wear mechanisms 8 and potential biological effects 9 . We hypothesized that the number of particles produced would be dominated by the wear rate, so that the in‐vivo–determined gait patterns would lead to a greater particle load than the ISO standard pattern.…”

Section: Introductionmentioning

confidence: 99%

Backside wear of tibial polyethylene components is affected by gait pattern: A knee simulator study using rare earth tracer technology

Ngai

Kunze

Cip³

et al. 2020

Journal Orthopaedic Research

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The aim of this study was to determine the effect of two in‐vivo–determined gait patterns, one with low and one with high anteroposterior (AP) motion, on total and backside polyethylene insert wear in comparison with the ISO (International Organization for Standardization) standard 14243‐3. In order to differentiate and accurately quantify topside and backside wear, a novel technique was employed where different lanthanide tracers were incorporated into the polyethylene during manufacture. Wear particle analysis was conducted following established protocols. For all tested liners and motion protocols, the chemically calculated wear rates correlated closely with gravimetrically determined wear. Both in vivo motion groups displayed higher wear rates than the ISO group following the order of the AP motion amplitudes. Backside wear for ISO constituted 2.76% ± 0.90% (mean ± SE) of the total wear, increasing significantly to 15.8% ± 3.2% for the low AP and further increasing to 19.3% ± 0.95% for the high AP motion protocol. The mean wear particle sizes were under 200 nm for all three motion patterns, being largest for the protocol with high AP motion. Particle release from the low and high AP gait patterns was 1.9 to 2.8 times that from the ISO protocol. Testing for the proportion of backside wear across various activities of daily living should be an important consideration in evaluating knee prostheses wear.

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“…Additionally, the clinical implications of polyethylene debris in spine tissue are still poorly understood 6,14,15 . Polyethylene implant wear is affected by many variables, including surface roughness, cross-linking, wear path (distance, direction), and applied load [16][17][18][19][20] ; however, the generation of wear debris can be attributed to four predominant wear modes 18 . Mode-1 wear occurs with articulation of intended bearing surfaces.…”

mentioning

confidence: 99%