Literature DB >> 34423809

Computational Modeling of Voice Production Using Excised Canine Larynx.

Weili Jiang1, Charles Farbos de Luzan2, Xiaojian Wang1, Liran Oren2, Sid M Khosla3, Qian Xue4, Xudong Zheng5.   

Abstract

A combined experimental-numerical work was conducted to comprehensively validate a subject-specific continuum model of voice production in larynx using excised canine laryngeal experiments. The computational model is a coupling of the Navier-Stokes equations for glottal flow dynamics and a finite element model of vocal fold dynamics. The numerical simulations employed a cover-body vocal fold structure with the geometry reconstructed from magnetic resonance imaging scans and the material properties determined through an optimization-based inverse process of experimental indentation measurement. The results showed that the simulations predicted key features of the dynamics observed in the experiments, including the skewing of the glottal flow waveform, mucosal wave propagation, continuous increase of the divergent angle and intraglottal swirl strength during glottal closing, and flow recirculation between glottal jet and vocal fold. The simulations also predicted the increase of the divergent angle, glottal jet speed, and intraglottal flow swirl strength with the subglottal pressure, same as in the experiments. Quantitatively, the simulations over-predicted the frequency and jet speed and under-predicted the flow rate and divergent angle for the larynx under study. The limitations of the model and their implications were discussed.
Copyright © 2022 by ASME.

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Year:  2022        PMID: 34423809      PMCID: PMC8547019          DOI: 10.1115/1.4052226

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  30 in total

1.  Measurement of Young's modulus of vocal folds by indentation.

Authors:  Dinesh K Chhetri; Zhaoyan Zhang; Juergen Neubauer
Journal:  J Voice       Date:  2010-02-19       Impact factor: 2.009

2.  Visualization and quantification of the medial surface dynamics of an excised human vocal fold during phonation.

Authors:  Michael Doellinger; David A Berry
Journal:  J Voice       Date:  2005-11-21       Impact factor: 2.009

3.  A finite element study on the cause of vocal fold vertical stiffness variation.

Authors:  Biao Geng; Qian Xue; Xudong Zheng
Journal:  J Acoust Soc Am       Date:  2017-04       Impact factor: 1.840

4.  Experimental validation of a three-dimensional reduced-order continuum model of phonation.

Authors:  Mehrdad H Farahani; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

5.  A parametric vocal fold model based on magnetic resonance imaging.

Authors:  Liang Wu; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

6.  Voice production in a MRI-based subject-specific vocal fold model with parametrically controlled medial surface shape.

Authors:  Liang Wu; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2019-12       Impact factor: 1.840

7.  Volume velocity in a canine larynx model using time‑resolved tomographic particle image velocimetry.

Authors:  Charles Farbos de Luzan; Liran Oren; Alexandra Maddox; Ephraim Gutmark; Sid M Khosla
Journal:  Exp Fluids       Date:  2020-02-12       Impact factor: 2.480

8.  Acoustically-coupled flow-induced vibration of a computational vocal fold model.

Authors:  David Jesse Daily; Scott L Thomson
Journal:  Comput Struct       Date:  2013-01-15       Impact factor: 4.578

9.  An immersed-boundary method for flow-structure interaction in biological systems with application to phonation.

Authors:  Haoxiang Luo; Rajat Mittal; Xudong Zheng; Steven A Bielamowicz; Raymond J Walsh; James K Hahn
Journal:  J Comput Phys       Date:  2008-11-20       Impact factor: 3.553

10.  Subject-Specific Computational Modeling of Evoked Rabbit Phonation.

Authors:  Siyuan Chang; Carolyn K Novaleski; Tsuyoshi Kojima; Masanobu Mizuta; Haoxiang Luo; Bernard Rousseau
Journal:  J Biomech Eng       Date:  2016-01       Impact factor: 2.097

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