Literature DB >> 26227805

Failure location prediction by finite element analysis for an additive manufactured mandible implant.

Jinxing Huo1, Per Dérand2, Lars-Erik Rännar3, Jan-Michaél Hirsch4, E Kristofer Gamstedt5.   

Abstract

In order to reconstruct a patient with a bone defect in the mandible, a porous scaffold attached to a plate, both in a titanium alloy, was designed and manufactured using additive manufacturing. Regrettably, the implant fractured in vivo several months after surgery. The aim of this study was to investigate the failure of the implant and show a way of predicting the mechanical properties of the implant before surgery. All computed tomography data of the patient were preprocessed to remove metallic artefacts with metal deletion technique before mandible geometry reconstruction. The three-dimensional geometry of the patient's mandible was also reconstructed, and the implant was fixed to the bone model with screws in Mimics medical imaging software. A finite element model was established from the assembly of the mandible and the implant to study stresses developed during mastication. The stress distribution in the load-bearing plate was computed, and the location of main stress concentration in the plate was determined. Comparison between the fracture region and the location of the stress concentration shows that finite element analysis could serve as a tool for optimizing the design of mandible implants.
Copyright © 2015 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Failure; Finite element simulations; Homogenisation; Mandible implant

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Year:  2015        PMID: 26227805     DOI: 10.1016/j.medengphy.2015.06.001

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  1 in total

1.  Full-Digital Workflow for Fabricating a Custom-Made Direct Metal Laser Sintering (DMLS) Mandibular Implant: A Case Report.

Authors:  Francesco Grecchi; Piero Antonio Zecca; Aldo Macchi; Alessandro Mangano; Federica Riva; Emma Grecchi; Carlo Mangano
Journal:  Int J Environ Res Public Health       Date:  2020-04-14       Impact factor: 3.390

  1 in total

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