2015
DOI: 10.1016/j.compfluid.2015.02.020
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Detailed micro-particle deposition patterns in the human nasal cavity influenced by the breathing zone

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Cited by 102 publications
(51 citation statements)
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“…The lung airway model used in this study was reconstructed from computed tomography (CT) images of a healthy adult. Detailed model reconstruction and its verification can be referred from author's previous work (Dong et al, 2017;Shang et al, 2015). The model (Fig.…”
Section: The Lung Airway Modelmentioning
confidence: 99%
“…The lung airway model used in this study was reconstructed from computed tomography (CT) images of a healthy adult. Detailed model reconstruction and its verification can be referred from author's previous work (Dong et al, 2017;Shang et al, 2015). The model (Fig.…”
Section: The Lung Airway Modelmentioning
confidence: 99%
“…Xi et al (2016) showed that the nostril inlet orientation has significant influence on eventual particle deposition, as it is the first point of interaction between the inhaled particles and the internal nasal anatomy. Doorly et al (2008), Taylor (2010), and Shang et al (2015b) corroborate the influence of the nostril orientation by including the outer face geometry. Figure 12 shows the extent of outer breathing zone influence.…”
Section: Micron Particle Depositionmentioning
confidence: 53%
“…The deposition of non-spherical particles such as fibrous particles, pollen, and drug particles in a human nasal cavity Fig. 14 Representation of discrete particle release locations for the "with-face" model. 10 5 particles were released throughout the external domain uniformly (Shang et al, 2015b; reproduced with permission © Elsevier Ltd. 2015). is treated differently to spherical particles.…”
Section: Non-spherical Particle Depositionmentioning
confidence: 99%
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“…Particles were uniformly released on a hemisphere with 3 cm in radius and with the centre at the nose tip. The hemisphere was located outside the breathing region that proposed by Shang et al (2015b) to minimise the influence of near-nostril biased airflow pattern on particle trajectories. This releasing condition has been widely adopted by previous published studies (Tian et al, 2017a(Tian et al, , 2017b(Tian et al, , 2019Dong et al, 2018;Xu et al, 2018).…”
Section: Methodsmentioning
confidence: 99%