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Velocity distributions in glottal models

F Alipour1, R Scherer, J Knowles

  • 1Department of Speech Pathology and Audiology, Wendell Johnson Speech and Hearing Center, University of Iowa, Iowa City 52246-1012, USA.

Journal of Voice : Official Journal of the Voice Foundation
|March 1, 1996
PubMed
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Investigating human larynx models revealed distinct airflow patterns. Rigid and excised larynx models showed similar velocity profiles, with laminar flow upstream and turbulent flow downstream of the glottis.

Area of Science:

  • Biomechanics
  • Fluid Dynamics
  • Acoustics

Background:

  • Understanding airflow dynamics in the human larynx is crucial for voice production.
  • Previous models have simplified the complex laryngeal airflow.
  • Investigating airflow in different larynx models can reveal key physiological insights.

Purpose of the Study:

  • To investigate and compare velocity distributions in three distinct human larynx models.
  • To analyze airflow characteristics in steady and pulsatile flow conditions.
  • To validate computational models against experimental data.

Main Methods:

  • Experimental analysis using a rigid plexiglas wind tunnel with interchangeable glottal constrictions for steady flow.
  • Experimental analysis using an excised canine larynx for pulsatile flow during phonation.

Related Experiment Videos

  • Theoretical analysis using a computational model to simulate laryngeal airflow.
  • Main Results:

    • Rigid model: Parabolic laminar velocity profiles upstream and turbulent, asymmetric profiles downstream of the glottis.
    • Excised larynx model: Time-averaged velocities showed similarities to the rigid model.
    • Computational model: Demonstrated instabilities and asymmetries consistent with experimental findings.

    Conclusions:

    • Multiple larynx models, including rigid, excised, and computational, exhibit comparable airflow characteristics.
    • Glottal shape significantly influences velocity profiles, leading to laminar and turbulent flow regions.
    • Experimental and computational approaches provide valuable, consistent insights into laryngeal fluid dynamics.