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Updated: Sep 25, 2025

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Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication
Published on: December 2, 2011
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Subject-Specific Computational Fluid-Structure Interaction Modeling of Rabbit Vocal Fold Vibration
Amit Avhad1, Zheng Li1, Azure Wilson2
1Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA.
Summary
This study used 3D fluid-structure interaction (FSI) to model rabbit vocal fold vibration, finding good agreement with a 1D machine learning model. Rabbit larynges effectively model human phonation for studying vocal fold disorders.
Area of Science:
- Biomechanics
- Computational Fluid Dynamics
- Acoustic Science
Background:
- Understanding vocal fold vibration is crucial for phonation.
- Subject-specific modeling requires accurate simulation of fluid-structure interaction (FSI).
- Rabbit larynges offer a viable model for human phonation studies.
Purpose of the Study:
- To perform a 3D FSI study of subject-specific vocal fold vibration in rabbit larynges.
- To analyze vocal fold vibration characteristics and the 3D flow field.
- To compare 3D FSI results with a 1D machine learning-based glottal flow model.
Main Methods:
- Utilized a strongly coupled 3D FSI model combining finite-element analysis for vocal fold tissue and Navier-Stokes equations for airflow.
- Reconstructed five subject-specific rabbit laryngeal models from MRI scans post-phonation.
- Incorporated individual material properties and experimental inlet pressures for each sample.
Main Results:
- 3D FSI simulations showed good agreement with the 1D flow model for vibration and intraglottal pressure.
- Inferior and supraglottal geometries significantly influence the FSI process.
- Flow patterns exhibited similarities to human vocal fold flow.
Conclusions:
- Rabbit larynges serve as effective models for understanding human phonation.
- The 3D FSI approach provides valuable insights into vocal fold dynamics.
- This research aids future computational studies on vocal fold disorders.
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