Improved numerical simulation of aerosol deposition in an idealized mouth–throat

Matida, Edgar; Finlay, Warren H.; Lange, Carlos F.; Grgic, B.

doi:10.1016/s0021-8502(03)00381-1

Cited by 269 publications

(225 citation statements)

References 39 publications

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Section: Cfd Simulationsmentioning

confidence: 99%

“…(91) To better approximate turbulent effects on particle deposition, an anisotropic turbulence correction was applied for particle tracking. (91,92) In this study, the exponential wall-normal damping function f n was evaluated for n + values ranging from 0 to a maximum of 60. Based on the results of Tian et al, (16) transient simulations are required in the upper airways through approximately B3, whereas steady state approximations are acceptable in the SIP models.…”

Section: Cfd Simulationsmentioning

confidence: 99%

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Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates

Longest

Tian

Khajeh-Hosseini-Dalasm

et al. 2016

Journal of Aerosol Medicine and Pulmonary Drug Delivery

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Background: The objective of this study was to compare aerosol deposition predictions of a new whole-airway CFD model with available in vivo data for a dry powder inhaler (DPI) considered across multiple inhalation waveforms, which affect both the particle size distribution (PSD) and particle deposition. Methods: The Novolizer DPI with a budesonide formulation was selected based on the availability of 2D gamma scintigraphy data in humans for three different well-defined inhalation waveforms. Initial in vitro cascade impaction experiments were conducted at multiple constant (square-wave) particle sizing flow rates to characterize PSDs. The whole-airway CFD modeling approach implemented the experimentally determined PSDs at the point of aerosol formation in the inhaler. Complete characteristic airway geometries for an adult were evaluated through the lobar bronchi, followed by stochastic individual pathway (SIP) approximations through the tracheobronchial region and new acinar moving wall models of the alveolar region. Results: It was determined that the PSD used for each inhalation waveform should be based on a constant particle sizing flow rate equal to the average of the inhalation waveform's peak inspiratory flow rate (PIFR) and mean flow rate [i.e., AVG(PIFR, Mean)]. Using this technique, agreement with the in vivo data was acceptable with <15% relative differences averaged across the three regions considered for all inhalation waveforms. Defining a peripheral to central deposition ratio (P/C) based on alveolar and tracheobronchial compartments, respectively, large flow-rate-dependent differences were observed, which were not evident in the original 2D in vivo data. Conclusions: The agreement between the CFD predictions and in vivo data was dependent on accurate initial estimates of the PSD, emphasizing the need for a combination in vitro-in silico approach. Furthermore, use of the AVG(PIFR, Mean) value was identified as a potentially useful method for characterizing a DPI aerosol at a constant flow rate.

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Section: Cfd Simulationsmentioning

confidence: 99%

Section: Cfd Simulationsmentioning

confidence: 99%

Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates

Longest

Tian

Khajeh-Hosseini-Dalasm

et al. 2016

Journal of Aerosol Medicine and Pulmonary Drug Delivery

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“…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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“…CFD has been used to investigate particle deposition in the extrathoracic region for large diameter inlets-e.g., DeHaan (2002), Matida et al (2003), Stapleton et al (2000) in the oropharynx, Sarangapani and Wexler (2000) using the nasal tract, Yu et al (1998) for particle diffusion in human upper respiratory system, and Li et al (1996) for deaggreagation of particles. In the present work, particle deposition in the mouth for different small diameter inlets is simulated using the RANS equations along with the EIM proposed by Gosman and Ioannides (1981) having near-wall corrections based on Matida et al (2003).…”

Section: Introductionmentioning

confidence: 99%

“…In the present work, particle deposition in the mouth for different small diameter inlets is simulated using the RANS equations along with the EIM proposed by Gosman and Ioannides (1981) having near-wall corrections based on Matida et al (2003). The latter correction is necessary to circumvent overestimation of particle deposition.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Particle Deposition in an Idealized Mouth with Different Small Diameter Inlets

Matida

DeHaan

Finlay

et al. 2003

Aerosol Science and Technology

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Improved numerical simulation of aerosol deposition in an idealized mouth–throat

Cited by 269 publications

References 39 publications

Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates

Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates

Direct numerical simulations of flow in realistic mouth–throat geometries

Simulation of Particle Deposition in an Idealized Mouth with Different Small Diameter Inlets

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