Literature DB >> 16862559

Modeling UHMWPE wear debris generation.

H Baudriller1, P Chabrand, D Moukoko.   

Abstract

It is widely recognized that polyethylene wear debris is one of the main causes of long-term prosthesis loosening. The noxious bioreactivity associated with this debris is determined by its size, shape, and quantity. The aim of this study was to develop a numerical tool that can be used to investigate the primary polyethylene wear mechanisms involved. This model illustrates the formation of varying flow of polyethylene debris with various shapes and sizes caused by elementary mechanical processes. Instead of using the classical continuum mechanics formulation for this purpose, we used a divided materials approach to simulate debris production and release. This approach involves complex nonlinear bulk behaviors, frictional adhesive contact, and characterizes material damage as a loss of adhesion. All the associated models were validated with various benchmark tests. The examples given show the ability of the numerical model to generate debris of various shapes and sizes such as those observed in implant retrieval studies. Most of wear mechanisms such as abrasion, adhesion, and the shearing off of micro-asperities can be described using this approach. Furthermore, it could be applied to study the effects of friction couples, macroscopic geometries, and material processing (e.g. irradiation) on wear. (c) 2006 Wiley Periodicals, Inc.

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Year:  2007        PMID: 16862559     DOI: 10.1002/jbm.b.30620

Source DB:  PubMed          Journal:  J Biomed Mater Res B Appl Biomater        ISSN: 1552-4973            Impact factor:   3.368


  3 in total

Review 1.  Mediators of the inflammatory response to joint replacement devices.

Authors:  Neil Cobelli; Brian Scharf; Giovanna M Crisi; John Hardin; Laura Santambrogio
Journal:  Nat Rev Rheumatol       Date:  2011-09-06       Impact factor: 20.543

2.  Endosomal damage and TLR2 mediated inflammasome activation by alkane particles in the generation of aseptic osteolysis.

Authors:  Radhashree Maitra; Cristina C Clement; Brian Scharf; Giovanna M Crisi; Sriram Chitta; Daniel Paget; P Edward Purdue; Neil Cobelli; Laura Santambrogio
Journal:  Mol Immunol       Date:  2009-10-04       Impact factor: 4.407

3.  Wear pattern observations from TDR retrievals using autoregistration of voxel data.

Authors:  Yakov P Shkolnikov; Anton Bowden; Daniel MacDonald; Steven M Kurtz
Journal:  J Biomed Mater Res B Appl Biomater       Date:  2010-08       Impact factor: 3.405

  3 in total

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