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Erschienen in: Soft Computing 19/2019

17.10.2018 | Focus

Biomechanics of artificial intervertebral disc with different materials using finite element method

verfasst von: Lamia Nabil Omran, Kadry Ali Ezzat, Mohamed Elhoseny, Aboul Ella Hassanien

Erschienen in: Soft Computing | Ausgabe 19/2019

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Abstract

The main objective of this paper is to help the orthopaedic in selecting the most suitable artificial intervertebral disc material that can be used in intervertebral disc replacement surgery based on the finite element method. The study uses a three-dimensional model for the lumber 4–lumber 5 spine vertebras for real patient DICOM dataset and saves as stereolithography format. The stereolithography file for the vertebras is converted into a computer-aided diagnostic file to be suitably imported in SolidWorks software. The integrated three-dimensional model assembles and boundary conditions are applied to the model, including axial force applied on the lumber 4–lumber 5 spine. The disc is designed and constructed using SolidWorks, and then four materials are applied to the artificial intervertebral disc. The results show that cobalt–chromium material is the most suitable material to be used in artificial spinal disc according to the maximum stress under an axial compression force of 300 N for cobalt–chromium and titanium was 109,308,136 N/m2 and 95,111,200 N/m2, while the maximum stress under an axial extension for cobalt–chromium and titanium was 109,308,136 N/m2 and 95,111,184 N/m2. The maximum stress under a right-side bending for cobalt–chromium and titanium was 30,456,905,728 N/m2 and 29,162,355,200 N/m2, and the maximum stress under a right-side bending for cobalt–chromium and titanium was 34,716,794,880 N/m2 and 33,086,228,480 N/m2.

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Metadaten
Titel
Biomechanics of artificial intervertebral disc with different materials using finite element method
verfasst von
Lamia Nabil Omran
Kadry Ali Ezzat
Mohamed Elhoseny
Aboul Ella Hassanien
Publikationsdatum
17.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 19/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3574-2

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