Interacting effects of uniform flow, plane shear, and near-wall proximity on the heat and mass transfer of respiratory aerosols

Longest, P. Worth; Kleinstreuer, Clement

doi:10.1016/j.ijheatmasstransfer.2004.05.029

Cited by 13 publications

(11 citation statements)

References 33 publications

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“…We do not compare Equation with our data because, as pointed out previously, the asymptotic limits under which the expression was derived do not apply to the parameter ranges for which our computational data were collected. We also do not show our comparisons with the expression presented by Longest and Kleinstreuer because, as pointed out previously, the expression is fundamentally incorrect in the Stokes flow limit. Consequently, their expression compares poorly over all with our data, both qualitatively and quantitatively.…”

Section: Quantitative Assessment Of the Shear‐rate Enhancement Of Scamentioning

confidence: 81%

“…Longest and Kleinstreuer numerically simulated heat/mass transfer from a spherical droplet in a bounded simple shear flow with zero concentration on the walls. Using simulations in the range S * ~0.006 → 19.2 and Re S ~0.003 → 8.0, they report the following approximate correlation by curve fitting their computational data:

italicSh = 1.0 + 0.386 {Re}_{S}^{0.237} {(S^{*})}^{0.333}

.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Enhancement of mass transfer from particles by local shear‐rate and correlations with application to drug dissolution

Wang

Brasseur

2019

AIChE Journal

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We analyze hydrodynamic enhancement of mass (or heat) release rate from small spherical particles within fluid flows from local flow shear-rate, with application to drug dissolution. Combining asymptotic theories in the high/low shear Peclet number limits in Stokes flow with 205 carefully-developed computational experiments, we develop accurate correlations for shear enhancement of Sherwood/Nusselt number (Sh/Nu) as a function of shear Peclet and Reynolds number (S * , Re S ). The data spanned S * from 0 to 500 and Re S from 0 to 10. In Stokes flow our correlations are highly accurate over the entire S * range, whereas for finite Re S < 1 accuracy is good for S * up to a few thousand. Shear enhancement results from highly three-dimensional spiraling flow created by particle spin. We develop a model for particle slip velocity that is inserted into the Ranz/Marshall correlation to show that shear-rate enhancement strongly dominates convection, a result important to drug dissolution. K E Y W O R D Sconvective enhancement, dissolution, drug dissolution, particle heat transfer, particle mass transfer, shear enhancement

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Section: Quantitative Assessment Of the Shear‐rate Enhancement Of Scamentioning

confidence: 81%

italicSh = 1.0 + 0.386 {Re}_{S}^{0.237} {(S^{*})}^{0.333}

.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Enhancement of mass transfer from particles by local shear‐rate and correlations with application to drug dissolution

Wang

Brasseur

2019

AIChE Journal

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“…Flow field assumptions included constant properties, laminar flow, and isothermal conditions. The transient mass and momentum transport equations for laminar flow with moving wall boundaries were previously provided by Longest & Kleinstreuer (2004). During the transient flow field solution, Lagrangian particle tracking was used to evaluate aerosol transport and deposition for a particle size range of 0.5 – 10.0 μm.…”

Section: Methodsmentioning

confidence: 99%

Deposition of particles in the alveolar airways: Inhalation and breath-hold with pharmaceutical aerosols

Khajeh-Hosseini-Dalasm

Longest

2015

Journal of Aerosol Science

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Previous studies have demonstrated that factors such as airway wall motion, inhalation waveform, and geometric complexity influence the deposition of aerosols in the alveolar airways. However, deposition fraction correlations are not available that account for these factors in determining alveolar deposition. The objective of this study was to generate a new space-filling model of the pulmonary acinus region and implement this model to develop correlations of aerosol deposition that can be used to predict the alveolar dose of inhaled pharmaceutical products. A series of acinar models was constructed containing different numbers of alveolar duct generations based on space-filling 14-hedron elements. Selected ventilation waveforms were quick-and-deep and slow-and-deep inhalation consistent with the use of most pharmaceutical aerosol inhalers. Computational fluid dynamics simulations were used to predict aerosol transport and deposition in the series of acinar models across various orientations with gravity where ventilation was driven by wall motion. Primary findings indicated that increasing the number of alveolar duct generations beyond 3 had a negligible impact on total acinar deposition, and total acinar deposition was not affected by gravity orientation angle. A characteristic model containing three alveolar duct generations (D3) was then used to develop correlations of aerosol deposition in the alveolar airways as a function of particle size and particle residence time in the geometry. An alveolar deposition parameter was determined in which deposition correlated with d2t over the first half of inhalation followed by correlation with dt2, where d is the aerodynamic diameter of the particles and t is the potential particle residence time in the alveolar model. Optimal breath-hold times to allow 95% deposition of inhaled 1, 2, and 3 μm particles once inside the alveolar region were approximately >10, 2.7, and 1.2 s, respectively. Coupling of the deposition correlations with previous stochastic individual path (SIP) model predictions of tracheobronchial deposition was demonstrated to predict alveolar dose of commercial pharmaceutical products. In conclusion, this study completes an initiative to determine the fate of inhaled pharmaceutical aerosols throughout the respiratory airways using CFD simulations.

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“…Papers present condensation heat transfer data for vertical tubes [JJ21], microfin tubes , droplet entrainment in drowse condensation, inclined tubes and surfaces [JJ25,JJ26], microchannels [JJ27,JJ28], helical pipes [JJ29], CO2 condensation in mini channels [JJ30], corrugated plates [JJ31], various refrigerants inside plain and microfin tubes [JJ22,JJ32], aerosols in respiratory pathways [JJ33], tube-bundles [JJ34], inclined tubes [JJ25,JJ35], integral-fin tubes [JJ36], U-type bends [JJ37], direct-contact jet condensers [JJ38] and the effects of non-condensable gases over a wide range of Reynolds number [JJ39]. The thickness of a falling film on horizontal tubes is measured using a laser technique [JJ40].…”

Section: Global Geometrymentioning

confidence: 99%

Heat transfer—A review of 2004 literature

Goldstein

Ibele

Patankar

et al. 2010

International Journal of Heat and Mass Transfer

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Interacting effects of uniform flow, plane shear, and near-wall proximity on the heat and mass transfer of respiratory aerosols

Cited by 13 publications

References 33 publications

Enhancement of mass transfer from particles by local shear‐rate and correlations with application to drug dissolution

Enhancement of mass transfer from particles by local shear‐rate and correlations with application to drug dissolution

Deposition of particles in the alveolar airways: Inhalation and breath-hold with pharmaceutical aerosols

Heat transfer—A review of 2004 literature

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