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    Specimen-Specific Finite Element Models for Predicting Fretting Wear in Total Hip Arthroplasty Tapers

    Source: Journal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 007
    Author:
    Baumann, Andrew P.
    ,
    Vesnovsky, Oleg
    ,
    Topoleski, L. D. Timmie
    ,
    Donaldson, Finn E.
    ,
    McMinn, Nicole L. L.
    ,
    Vignola, Amelia
    ,
    Di Prima, Matthew
    DOI: 10.1115/1.4045904
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Products from fretting wear and corrosion in the taper junction of total hip arthroplasty (THA) devices can lead to adverse local tissue reactions. Predicting damage as a function of design parameters would aid in the development of more robust devices. The objectives of this study were to develop an automated method for identifying areas of fretting wear on THA taper junctions, and to assess the predictive ability of a finite element model to simulate fretting wear in THA taper junctions. THA constructs were fatigue loaded, thus inducing damage on the stem taper. An automated imaging and analysis algorithm quantified fretting wear on the taper surfaces. Specimen-specific finite element models were used to calculate fretting work done (FWD) at the taper junction. Simulated FWD was correlated to imaged fretting wear. Results showed that the automated imaging approach identified fretting wear on the taper surface. Additionally, finite element models showed the greatest predictive ability for tapers exhibiting distal contact. Finite element models predicted an average of 30.3% of imaged fretting wear. With additional validation, the imaging and finite element techniques may be useful to manufacturers and regulators in the development and review of new THA devices.
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      Specimen-Specific Finite Element Models for Predicting Fretting Wear in Total Hip Arthroplasty Tapers

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4273303
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    contributor authorBaumann, Andrew P.
    contributor authorVesnovsky, Oleg
    contributor authorTopoleski, L. D. Timmie
    contributor authorDonaldson, Finn E.
    contributor authorMcMinn, Nicole L. L.
    contributor authorVignola, Amelia
    contributor authorDi Prima, Matthew
    date accessioned2022-02-04T14:15:56Z
    date available2022-02-04T14:15:56Z
    date copyright2020/02/24/
    date issued2020
    identifier issn0148-0731
    identifier otherbio_142_07_071002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273303
    description abstractProducts from fretting wear and corrosion in the taper junction of total hip arthroplasty (THA) devices can lead to adverse local tissue reactions. Predicting damage as a function of design parameters would aid in the development of more robust devices. The objectives of this study were to develop an automated method for identifying areas of fretting wear on THA taper junctions, and to assess the predictive ability of a finite element model to simulate fretting wear in THA taper junctions. THA constructs were fatigue loaded, thus inducing damage on the stem taper. An automated imaging and analysis algorithm quantified fretting wear on the taper surfaces. Specimen-specific finite element models were used to calculate fretting work done (FWD) at the taper junction. Simulated FWD was correlated to imaged fretting wear. Results showed that the automated imaging approach identified fretting wear on the taper surface. Additionally, finite element models showed the greatest predictive ability for tapers exhibiting distal contact. Finite element models predicted an average of 30.3% of imaged fretting wear. With additional validation, the imaging and finite element techniques may be useful to manufacturers and regulators in the development and review of new THA devices.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSpecimen-Specific Finite Element Models for Predicting Fretting Wear in Total Hip Arthroplasty Tapers
    typeJournal Paper
    journal volume142
    journal issue7
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4045904
    page71002
    treeJournal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 007
    contenttypeFulltext
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