Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2022Bio-Tribo-Acoustic Emissions: Condition Monitoring of a Simulated Joint Articulation5citations
  • 2020A method for the assessment of the coefficient of friction of articular cartilage and a replacement biomaterial19citations
  • 2015The evolution of polymer wear debris from total disc arthroplasty17citations

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Chart of shared publication
Dearn, K. D.
3 / 11 shared
Shepherd, Duncan Et
3 / 24 shared
Olorunlambe, Khadijat
1 / 1 shared
Mahmood, Humaira
1 / 1 shared
Espino, Daniel M.
1 / 5 shared
Stead, Iestyn
1 / 1 shared
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2022
2020
2015

Co-Authors (by relevance)

  • Dearn, K. D.
  • Shepherd, Duncan Et
  • Olorunlambe, Khadijat
  • Mahmood, Humaira
  • Espino, Daniel M.
  • Stead, Iestyn
OrganizationsLocationPeople

article

The evolution of polymer wear debris from total disc arthroplasty

  • Dearn, K. D.
  • Shepherd, Duncan Et
  • Eckold, David
Abstract

Total disc arthroplasty is an alternative to spinal fusion, aimed at preserving flexibility; these devices typically involve a cobalt chrome molybdenum alloy socket articulating against an ultra-high molecular weight polyethylene (UHMWPE) ball. As with all artificial joints, wear debris is of particular concern due to its effect on both implant life and the in vivo biological reactions that can occur.<br/><br/>In this paper, a profile of the UHMWPE wear debris generated from disc arthroplasty, tested on a spine simulator, is built with a combination of SEM image analysis tools. SEM images were analysed by computer vision, which allowed size and shape information to be extracted and images to be categorised by the shared topological features on individual wear particles. The computer visions techniques were based on a Scale Invariant Feature Transform (SIFT) to extract key point data from individual images and a Support Vector Decision Machine (SVM) to filter images based on a series of trained parameters. As certain wear particle morphology is predominantly produced by a particular wear regime, grouping wear particles by morphology and size made it possible to infer the relative rates of various wear regimes responsible for wear debris generation. By sampling synovial lubricant at intervals throughout the tribological test, the predominant wear regimes and particle sizes were tracked over the course of the implant life. Wear debris samples were taken at 12 intervals over a 5 million cycle test.<br/><br/>The majority of debris was found to be 0.88 μm in equivalent circle diameter, with an aspect ratio (defined as the major over the minor diameter of the smallest possible encompassing ellipse of the debris) of 1.55. There was a decreasing trend in average particle size as the number of cycles increased. During the early stages of the test, adhesion and abrasion were dominant in forming particle morphologies, however after 2 million cycles; particles generated as a result of fatigue became the major particle morphology.

Topics
  • impedance spectroscopy
  • morphology
  • molybdenum
  • polymer
  • scanning electron microscopy
  • fatigue
  • forming
  • cobalt
  • molecular weight
  • molybdenum alloy