2023
DOI: 10.1016/j.jmbbm.2023.106046
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Finite element analysis of a customized implant in PMMA coupled with the cranial bone

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Cited by 1 publication
(3 citation statements)
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“…The study in [33] models cranial implants with meshless methods, comparing solid and porous structures, for titanium alloy (Ti6Al4V) and PEEK, indicating titanium's overall superiority, while PEEK excels in weight and osseointegration. In [35], evaluation of von Mises stresses and deformations in a customized PMMA-based cranial implant with the fixation system demonstrated effective protection without physiological harm or anchoring failures. This work presents the study of the thickness vs. stiffness relationship for different materials (PMMA and PEEK), as a criterion for the selection of biomaterials from a mechanical perspective.…”
Section: Model Identificationmentioning
confidence: 99%
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“…The study in [33] models cranial implants with meshless methods, comparing solid and porous structures, for titanium alloy (Ti6Al4V) and PEEK, indicating titanium's overall superiority, while PEEK excels in weight and osseointegration. In [35], evaluation of von Mises stresses and deformations in a customized PMMA-based cranial implant with the fixation system demonstrated effective protection without physiological harm or anchoring failures. This work presents the study of the thickness vs. stiffness relationship for different materials (PMMA and PEEK), as a criterion for the selection of biomaterials from a mechanical perspective.…”
Section: Model Identificationmentioning
confidence: 99%
“…To evaluate the deformations of the implant under loading conditions, we use a standard Galerkin finite element numerical model to solve the elasticity problem. This method has been commonly used to evaluate the mechanical response in biomechanical applications [35,37,38]. Using a variational formulation of the elasticity problem and the finite element approximation of displacements, the following system of equations is obtained:…”
Section: Finite Element Modelmentioning
confidence: 99%
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