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Finite Element Analysis Model for Assessing Expansion Patterns from Surgically Assisted Rapid Palatal Expansion
Published on: October 20, 2023
A hyperelastic-plastic damage model for puncture analysis of tympanic membrane using finite-element method
Hossein Mohammadi1, Nima Maftoon1
1Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada; Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, ON, Canada.
This study models tympanic membrane (TM) puncture during needle insertion, crucial for hearing disorder treatments. The finite-element model accurately predicts puncture forces and stress, aiding surgical tool development.
Area of Science:
- Biomechanics
- Medical Engineering
- Otolaryngology
Background:
- Needle insertion into the tympanic membrane (TM) is a common otolaryngologic procedure.
- Understanding TM puncture mechanics is vital for developing safer surgical techniques and devices for hearing and balance disorder treatments.
Purpose of the Study:
- To develop and validate a novel 3D finite-element (FE) model of tympanic membrane (TM) puncture.
- To investigate the mechanical behavior of the TM during needle insertion, including damage and crack propagation.
Main Methods:
- A 3D finite-element (FE) model was created, incorporating the geometric complexity of the needle and middle ear.
- Nonlinear material properties of the TM, including high-strain deformation and damage accumulation, were modeled.
- Model parameters were calibrated against experimental puncture forces to ensure accuracy.
Main Results:
- The FE model accurately replicated experimental puncture forces with a 2.6% error.
- A maximum von Mises stress of 1.0 MPa was predicted at the instance of puncture.
- The model analyzed the influence of insertion location, needle geometry, and TM thickness on puncture forces.
Conclusions:
- The validated FE model provides a robust tool for simulating TM puncture.
- Findings offer critical insights for designing advanced surgical instruments, haptic devices, surgical robots, and virtual reality training systems for otologic procedures.
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