Experimental measurements and computational modeling of the flow field in an idealized human oropharynx

Heenan, A.F.; Matida, Edgar; Pollard, A.; Finlay, Warren H.

doi:10.1007/s00348-003-0636-7

Cited by 138 publications

(121 citation statements)

References 26 publications

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“…Research in this article is trying to establish to the formerly known studies which was focused to development of airflow in trachea and surrounding regions. Similar research on model of idealised geometry of oropharynx where geometry which ends in upper part of trachea was used was done by Heenan [1]. Unfortunately, this research cannot give us information about forming of velocity profiles in whole trachea.…”

Section: Introductionmentioning

confidence: 94%

Velocity profiles in idealized model of human respiratory tract

Elcner

Jedelský

Lízal

et al. 2013

EPJ Web of Conferences

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Abstract. This article deals with numerical simulation focused on velocity profiles in idealized model of human upper airways during steady inspiration. Three regimes of breathing were investigated: Resting condition, Deep breathing and Light activity which correspond to most common regimes used for experiments and simulations. Calculation was validated with experimental data given by Phase Doppler Anemometry performed on the model with same geometry. This comparison was made in multiple points which form one cross-section in trachea near first bifurcation of bronchial tree. Development of velocity profile in trachea during steady inspiration was discussed with respect for common phenomenon formed in trachea and for future research of transport of aerosol particles in human respiratory tract.

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Section: Introductionmentioning

confidence: 94%

Velocity profiles in idealized model of human respiratory tract

Elcner

Jedelský

Lízal

et al. 2013

EPJ Web of Conferences

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“…However, most of these studies have focused solely on deposition. Grgic et al (2004a) and Heenan et al (2003; conducted particle image velocimetry (PIV) measurements in order to visualize the flow. This allowed comparison of the deposition patterns with the flow field, showing a strong correlation be-2 tween deposition levels and local velocity magnitude and flow curvature.…”

Section: Introductionmentioning

confidence: 99%

“…A number of Reynolds-averaged Navier-Stokes (RANS) (Zhang et al, 2002;Heenan et al, 2003;Kleinstreuer & Zhang, 2003;Matida et al, 2004;Jayaraju et al, 2007;Sandeau et al, 2010) and large eddy simulation (LES) studies (Matida et al, 2006;Jayaraju et al, 2008;Debhi, 2011;Cui & Gutheil, 2011) have been reported in the literature. However, accurate prediction of the flow field remains a challenge due to the complexity of the flow in the extrathoracic airways and the limitations of RANS and LES turbulence models.…”

Section: Introductionmentioning

confidence: 99%

Direct numerical simulations of flow in realistic mouth–throat geometries

Nicolaou

Zaki

2013

Journal of Aerosol Science

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“…Noticeably, the present results are consistent with both experimental and CFD data published previously. 12,13 The effect of the glottic area on the maximum air velocity in the larynx with inlet velocity w = 0.169 m/s was also analyzed. For a given flow, mass flow rates through the various openings are identical.…”

Section: Resultsmentioning

confidence: 99%

“…The pressure drop is an important parameter, covered extensively in a number of papers that discuss airflow in the upper respiratory tract. [11][12][13][24][25][26] The calculations by means of the Fluid software yielded the values shifts toward larger values. Based on CFD analyses, it was possible to correlate ΔP with the area of the glottic opening.…”

Section: Discussionmentioning

confidence: 99%