Aerodynamically and acoustically driven modes of vibration in a physical model of the vocal folds

2006 ◽  
Vol 120 (5) ◽  
pp. 2841-2849 ◽  
Author(s):  
Zhaoyan Zhang ◽  
Juergen Neubauer ◽  
David A. Berry
2007 ◽  
Vol 121 (2) ◽  
pp. 1102-1118 ◽  
Author(s):  
Jürgen Neubauer ◽  
Zhaoyan Zhang ◽  
Reza Miraghaie ◽  
David A. Berry

2005 ◽  
Vol 44 (03) ◽  
pp. 384-391 ◽  
Author(s):  
N. Tayama ◽  
D. A. Berry ◽  
M. Döllinger

Summary Objectives: The purpose of this investigation was to use an excised human larynx to substantiate physical mechanisms of sustained vocal fold oscillation over a variety of phonatory conditions. During sustained, flow-induced oscillation, dynamical data was collected from the medial surface of the vocal fold. The method of Empirical Eigenfunctions was used to analyze the data and to probe physical mechanisms of sustained oscillation. Methods: Thirty microsutures were mounted on the medial margin of a human vocal fold. Across five distinct phonatory conditions, the vocal fold was set into oscillation and imaged with a high-speed digital imaging system. The position coordinates of the sutures were extracted from the images and converted into physical coordinates. Empirical Eigenfunctions were computed from the time-varying physical coordinates, and mechanisms of sustained oscillation were explored. Results: Using the method of Empirical Eigenfunctions, physical mechanisms of sustained vocal fold oscillation were substantiated. In particular, the essential dynamics of vocal fold vibration were captured by two dominant Empirical Eigenfunctions. The largest Eigenfunction primarily captured the alternating convergent/ divergent shape of the medial surface of the vocal fold, while the second largest Eigenfunction primarily captured the lateral vibrations of the vocal fold. Conclusions: The hemi-larynx setup yielded a view of the medial surface of the vocal folds, revealing the tissue vibrations which produced sound. Through the use of Empirical Eigenfunctions, the underlying modes of vibration were computed, disclosing physical mechanisms of sustained vocal fold oscillation. The investigation substantiated previous theoretical analyses and yielded significant data to help evaluate and refine computational models of vocal fold vibration.


2013 ◽  
Vol 561 ◽  
pp. 696-699
Author(s):  
Tian Tian Niu ◽  
Shou Cheng Wang ◽  
Song Nian Luan

According to XQ2010 planomiller, three-dimensional physical model is built by using Solidworks software. With the model imported into workbench, the static and dynamic state of beam is analysed. The features of stress and deformation are observed under ultimate load. Its six modes of vibration are extracted for confirming the characteristic of beam in modal analysis.


Author(s):  
Scott L. Thomson ◽  
Luc Mongeau ◽  
Steven H. Frankel

Voice production is a result of the nonlinear, coupled interaction between laryngeal airflow and vocal fold tissue dynamics. Studying these fluid-structure interactions can contribute to the understanding of the mechanisms of speech production, leading to improved surgical, clinical, and pedagogical care. Aside from experiments using excised larynges (e.g., Berry et al., 2001) and a model of the superficial vocal fold layer (e.g., Chan et al., 1997), no studies appear to have been reported in which self-oscillating physical models were used that were similar to the human vocal folds in the following aspects: length scale, geometry, and dynamic and mechanical behavior. This paper describes a self-oscillating physical model designed to more closely represent the human vocal folds in terms of the above key parameters. The model was constructed using a flexible polymer casting and exhibited regular, self-sustained, large-amplitude oscillations at frequencies and operating conditions close to those found in human phonation. The model demonstrated potential for further studies involving laryngeal fluid-structure interactions.


2006 ◽  
Vol 120 (3) ◽  
pp. EL36-EL42 ◽  
Author(s):  
David A. Berry ◽  
Zhaoyan Zhang ◽  
Juergen Neubauer ◽  
Anders Lofqvist
Keyword(s):  

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