Literature DB >> 16774865

Mutual enhancements of CFD modeling and experimental data: a case study of 1-mum particle deposition in a branching airway model.

P Worth Longest1, Michael J Oldham.   

Abstract

In order to better understand aerosol dynamics and deposition in the complex flow field of the respiratory tract, both in vitro experiments and numerical modeling techniques have widely been employed. Computational fluid dynamics (CFD) modeling offers the flexibility of easily modifying system parameters such as flow rates, particle sizes, system geometry, and heterogeneous outlet conditions. However, a number of numerical errors and artifacts can lead to nonphysical CFD results. Experimental methods offer the advantage of physical realism; however, parameter variation is often difficult. The objective of this study is to illustrate the use of CFD to enhance the understanding of experimental results. In parallel, the selected experimental results have been used to partially validate the CFD predictions. A specific case study has been considered focusing on 1-mum particle depositions in a physiologically realistic bifurcation (PRB) model of respiratory generations 3-5. Previous experiments in this system report a deposition rate of approximately 0.01%. An in-depth CFD analysis has been employed to evaluate two cases of the empirical model. The first case consists of only the PRB double bifurcation geometry. The second case includes a portion of the experimental particle delivery system, which may influence the entering velocity and particle profiles. To assess the influence of upstream transition and turbulence, each of the two cases considered has been evaluated using laminar and low Reynolds number k-omega approximations. Results indicate that both upstream flow effects and turbulent or transitional flow play a significant role in determining the deposition of 1-mum particles in the model considered. Simulating upstream flow effects and laminar flow was required to match the empirically reported deposition fraction and provided a two orders of magnitude improvement over initial CFD estimates. This study highlights the need to consider the effects of experimental particle generation systems on velocity and particle profiles entering respiratory models. Future work is necessary to investigate the mechanisms responsible for the experimentally observed local deposition patterns.

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Year:  2006        PMID: 16774865     DOI: 10.1080/08958370600748653

Source DB:  PubMed          Journal:  Inhal Toxicol        ISSN: 0895-8378            Impact factor:   2.724


  7 in total

1.  Magnetic deposition of aerosols composed of aggregated superparamagnetic nanoparticles.

Authors:  Yuanyuan Xie; Pengyun Zeng; Ronald A Siegel; Timothy Scott Wiedmann; Bruce E Hammer; P Worth Longest
Journal:  Pharm Res       Date:  2010-03-03       Impact factor: 4.200

Review 2.  In silico models of aerosol delivery to the respiratory tract - development and applications.

Authors:  P Worth Longest; Landon T Holbrook
Journal:  Adv Drug Deliv Rev       Date:  2011-05-27       Impact factor: 15.470

Review 3.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

4.  Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data.

Authors:  Geng Tian; Michael Hindle; Sau Lee; P Worth Longest
Journal:  Pharm Res       Date:  2015-05-06       Impact factor: 4.200

5.  CFD simulations of enhanced condensational growth (ECG) applied to respiratory drug delivery with comparisons to in vitro data.

Authors:  P Worth Longest; Michael Hindle
Journal:  J Aerosol Sci       Date:  2010-08-01       Impact factor: 3.433

6.  Characterization of respiratory drug delivery with enhanced condensational growth using an individual path model of the entire tracheobronchial airways.

Authors:  Geng Tian; Philip Worth Longest; Guoguang Su; Michael Hindle
Journal:  Ann Biomed Eng       Date:  2010-12-09       Impact factor: 3.934

7.  Effects of Surface Smoothness on Inertial Particle Deposition in Human Nasal Models.

Authors:  Jeffry D Schroeter; Guilherme J M Garcia; Julia S Kimbell
Journal:  J Aerosol Sci       Date:  2011-01-01       Impact factor: 3.433

  7 in total

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