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Failure location prediction by finite element analysis for an additive manufactured mandible implant
Division of Applied Mechanics, Department of Engineering Sciences, Uppsala University, Sweden.
Department of Oral and Maxillofacial Surgery, Skåne University Hospital, Sweden.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Technology and Management, Mechanical Engineering and Mathematics.ORCID iD: 0000-0001-5954-5898
Department of Surgical Sciences, Oral & Maxillofacial Surgery, Uppsala University Sweden. (Sports Tech Research Centre)
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2015 (English)In: Medical Engineering & Physics, ISSN 1350-4533, Vol. 37, no 9, 862-869 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2015. Vol. 37, no 9, 862-869 p.
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:miun:diva-26540DOI: 10.1016/j.medengphy.2015.06.001ISI: 000361409100005PubMedID: 26227805Scopus ID: 2-s2.0-84940450474OAI: oai:DiVA.org:miun-26540DiVA: diva2:883070
Available from: 2015-12-16 Created: 2015-12-16 Last updated: 2015-12-22Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
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  • en-US
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