Potential and constraints for the application of CFD combined with Lagrangian particle tracking to dry powder inhalers

Sommerfeld, Martin; Cui, Yan; Schmalfuß, Silvio

doi:10.1016/j.ejps.2018.12.008

Cited by 46 publications

(11 citation statements)

References 64 publications

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“…This provides an important reference for accurately evaluating the power of debris ow, formulating countermeasures, and implementing emergency evacuation. After sorting out the recent research on DETM, Sommerfeld et al (2019) [11] studied the potential and limitations of combining Computational Fluid Dynamics (CFD) with Lagrangian particle tracking in dry powder inhalers. By collecting many data and using CFD and Lagrangian particle tracking to simulate and analyze, they explored the application prospect of this method in the eld of drug delivery.…”

Section: Recent Research On Discrete Element Tracking Methodsmentioning

confidence: 99%

Numerical Simulation of Debris Flow Disaster in Yunnan Mountainous Areas Guided by Discrete Element Tracing Method

He,

Li,

Liu

2023

Preprint

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The purpose of this study is to accurately predict and evaluate the occurrence, development, and impact of debris flow disasters, and to further improve the accuracy of debris flow disaster prediction by comparing the simulation results of high-performance algorithms with the measured data and other numerical simulation methods. Discrete Element Tracking Method (DETM) is adopted as a numerical simulation method. Debris flow is regarded as a non-Newtonian fluid composed of many discrete particles, and the motion state and deformation characteristics of debris flow are calculated by tracking the position, velocity, and force of each particle. This study takes a typical debris flow channel in Yunnan Province as an example. Firstly, a three-dimensional (3D) terrain model is established, including the length, width, slope, and curvature of the channel. Secondly, according to the physical characteristics of debris flow, the initial conditions of debris flow are set. Finally, the movement process of debris flow is simulated by DETM, and the position, speed, and force of each particle in the process of debris flow movement are tracked. The numerical simulation results are compared with those of the Finite Element Difference Method (FEDM), and the simulation results are checked with the data in the national debris flow database. It is found that the coincidence degree of debris flow deposition range guided by DETM and debris flow database is 0.89 (FEDM is 0.76). The root mean square error (RMSE) of debris flow deposition thickness and debris flow database is 0.04 (FEDM is 0.23). The relative error of debris flow deposition volume and debris flow database is 0.06 (FEDM is 0.15). The relative error of debris flow movement time and debris flow database is 0.03 (FEDM is 0.19). These results show that DETM can well predict the actual situation of debris flow disasters in mountainous areas of Yunnan. This study not only provides a new tool and basis for the prediction and prevention of debris flow disasters, but also provides a new idea and method for the application of DETM in simulating other non-Newtonian fluids.

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Section: Recent Research On Discrete Element Tracking Methodsmentioning

confidence: 99%

Numerical Simulation of Debris Flow Disaster in Yunnan Mountainous Areas Guided by Discrete Element Tracing Method

He,

Li,

Liu

2023

Preprint

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“…[60][61][62] In addition to current work using a CFD-DEM approach, several recent studies have used CFD with the more traditional Lagrangian approach for particle tracking to investigate DPI performance. 33,47,[63][64][65][66][67][68][69][70] The use of CFD with Lagrangian particle tracking for the investigation of DPI performance was also recently reviewed by Sommerfeld et al, 71 who also included some discussion on CFD-DEM models. A good example of the utility of CFD with a Lagrangian approach comes from Shur et al, 63 who made modifications to an existing RLD device, Multihaler (Cipla Limited, Mumbai, India), and tested eight different formulations of fluticasone propionate in the modified devices with the intent of producing a drugdevice combination with comparable in vitro performance to an existing drug-device combination, Flixotide Accuhaler (GlaxoSmithKline UK Limited, Brentford, UK; fluticasone propionate DPI).…”

Section: In Silico Methods For Development Of Generic Oidpsmentioning

confidence: 99%

“…In addition to current work using a CFD‐DEM approach, several recent studies have used CFD with the more traditional Lagrangian approach for particle tracking to investigate DPI performance . The use of CFD with Lagrangian particle tracking for the investigation of DPI performance was also recently reviewed by Sommerfeld et al . who also included some discussion on CFD‐DEM models.…”

Section: Predicting the Influence Of Device And Formulation Parametermentioning

confidence: 99%

In Silico Methods for Development of Generic Drug–Device Combination Orally Inhaled Drug Products

Walenga

Babiskin

Zhao

2019

CPT Pharmacom & Syst Pharma

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The development of generic, single‐entity, drug–device combination products for orally inhaled drug products is challenging in part because of the complex nature of device design characteristics and the difficulties associated with establishing bioequivalence for a locally acting drug product delivered to the site of action in the lung. This review examines in silico models that may be used to support the development of generic orally inhaled drug products and how model credibility may be assessed.

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“…In addition, these particle-flow interactions are symbiotic with the device design, the inhalation flow, and the formulation and properties of the drug which further increases its complexity. Experimental investigations of these phenomena have significant practical challenges, thus computational modelling of the fluid flow and particle dynamics has been performed to study these processes and optimize device delivery (1)(2)(3).…”

Section: Introductionmentioning

confidence: 99%

On the Use of Computational Fluid Dynamics (CFD) Modelling to Design Improved Dry Powder Inhalers

Fletcher¹,

Chaugule²,

Reis³

et al. 2021

Preprint

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Computational Fluid Dynamics (CFD) simulations are performed to investigate the impact of adding a grid to a two-inlet dry powder inhaler (DPI). The purpose of the paper is to show the importance of the correct choice of closure model and modeling approach, as well as to perform validation against particle dispersion data obtained from in-vitro studies and flow velocity data obtained from particle image velocimetry (PIV) experiments. Methods CFD simulations are performed using the Ansys Fluent 2020R1 software package. Two RANS turbulence models (realisable k-and k-ω SST) and the Stress Blended Eddy Simulation (SBES) models are considered. Lagrangian particle tracking for both carrier and fine particles is also performed.

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Potential and constraints for the application of CFD combined with Lagrangian particle tracking to dry powder inhalers

Cited by 46 publications

References 64 publications

Numerical Simulation of Debris Flow Disaster in Yunnan Mountainous Areas Guided by Discrete Element Tracing Method

Numerical Simulation of Debris Flow Disaster in Yunnan Mountainous Areas Guided by Discrete Element Tracing Method

In Silico Methods for Development of Generic Drug–Device Combination Orally Inhaled Drug Products

On the Use of Computational Fluid Dynamics (CFD) Modelling to Design Improved Dry Powder Inhalers

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