Literature DB >> 26916052

Micro-CT based modelling for characterising injection-moulded porous titanium implants.

Junning Chen1, Liangjian Chen2, Che-Cheng Chang1, Zhongpu Zhang1, Wei Li1, Michael V Swain3, Qing Li1.   

Abstract

Design of prosthetic implants to ensure rapid and stable osseointegration remains a significant challenge, and continuous efforts have been directed to new implant materials, structures and morphology. This paper aims to develop and characterise a porous titanium dental implant fabricated by metallic powder injection-moulding. The surface morphology of the specimens was first examined with a scanning electron microscope (SEM), followed by microscopic computerised tomography (μ-CT) scanning to capture its 3D microscopic features non-destructively. The nature of porosity and pore sizes were determined statistically. A homogenisation technique based on the Hills-energy theorem was adopted to evaluate its directional elastic moduli, and the conservation of mass theorem was employed to quantify the oxygen diffusivity for bio-transportation feature. This porous medium was found to have pore sizes varying from 50 to 400 µm and the average porosity of 46.90 ± 1.83%. The anisotropic principal elastic moduli were found fairly close to the upper range of cortical bone, and the directional diffusivities could potentially enable radial osseous tissue ingrowth and vascularisation. This porous titanium successfully reduces the elastic modulus mismatch between implant and bone for dental and orthopaedic applications, and provides improved capacity for transporting oxygen, nutrient and waste for pre-vascular network formation.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  anisotropic elasticity; diffusivity; homogenisation; injection moulding; osseointegration; porous implant

Mesh:

Substances:

Year:  2016        PMID: 26916052     DOI: 10.1002/cnm.2779

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  1 in total

1.  A high-fidelity 3D S-FEM stress analysis of a highly heterogeneous swine skull.

Authors:  S H Huo; C Jiang; X Cui; G R Liu
Journal:  Med Biol Eng Comput       Date:  2020-01-14       Impact factor: 2.602

  1 in total

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