Jump to navigation Jump to search
Line 16: Line 16:
that are based on computational fluid dynamics for the prediction of aerosol deposition in
that are based on computational fluid dynamics for the prediction of aerosol deposition in
the human airways has become very common nowadays. Despite their limitations, that
the human airways has become very common nowadays. Despite their limitations, that
are mainly associated to their high computational cost, CFD models offer significant ad—
are mainly associated to their high computational cost, CFD models offer significant advantages
vantages over ''in vitro'' / ''in vivo'' experiments.
over ''in vitro'' / ''in vivo'' experiments.
 
However, prior to their use CFD models
However7 prior to their use CFD models
need to be properly validated. This is the objective of the current application Challenge.
need to be properly validated. This is the objective of the current application Challenge.
Specifically7 in vitm deposition measurements using positron emission tomography (PET)
Specifically, ''in vitro'' deposition measurements using positron emission tomography (PET)
have been conducted in a human—based model of the upper airway during steady—state
have been conducted in a human—based model of the upper airway during steady—state
inhalation at flow rates of 157 30 and 60 L/min. The flow conditions at these flowrates
inhalation at flow rates of 15, 30 and 60 L/min. The flow conditions at these flowrates
are in the transitional t0 turbulent regime. CFD simulations were carried out in the
are in the transitional t0 turbulent regime. CFD simulations were carried out in the
same geometry and under the same ventilation conditions. Two sets of simulations were
same geometry and under the same ventilation conditions. Two sets of simulations were

Revision as of 08:45, 2 October 2019

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice

Aerosol deposition in the human upper airways

Application Area 7: *****

Application Challenge AC7-01

Abstract

Knowledge of deposition Characteristics in the human airways is important when assessing the impact of inhaled aerosols, that can be either atmospheric pollutants or aerosols intended for therapeutic purposes. Not only the total deposition, but also local depositions within individual parts of the lung are of interest. The application of computer models that are based on computational fluid dynamics for the prediction of aerosol deposition in the human airways has become very common nowadays. Despite their limitations, that are mainly associated to their high computational cost, CFD models offer significant advantages over in vitro / in vivo experiments. However, prior to their use CFD models need to be properly validated. This is the objective of the current application Challenge. Specifically, in vitro deposition measurements using positron emission tomography (PET) have been conducted in a human—based model of the upper airway during steady—state inhalation at flow rates of 15, 30 and 60 L/min. The flow conditions at these flowrates are in the transitional t0 turbulent regime. CFD simulations were carried out in the same geometry and under the same ventilation conditions. Two sets of simulations were performed: Large Eddy Simulations using the dynamic version of the Smagorinsky—Lilly subgrid scale model and RANS simulations using the k—w—SST turbulence model. In both methods7 the Lagrangian approach has been adopted to track spherical particles in the airway geometry and determine regional deposition patterns.

The methods and results described in the present Application Challenge are mainly adopted from Lizal et al. (2012) (experimental part) and Koullapis et al. (2018) (numerical part).



Contributed by: P. Koullapis — ***

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice


© copyright ERCOFTAC 2019