Lagrangian particle modelling of spherical nanoparticle dispersion and deposition in confined flows

Inthavong, Kiao; Tian, Lin; Tu, Jiyuan

doi:10.1016/j.jaerosci.2016.02.010

Cited by 35 publications

(24 citation statements)

References 29 publications

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“…Lagrangian discrete phase model (DPM) including drag, gravity, and Brownian forces was used to predict particle transport and deposition characteristics . For a dispersed phase (particles) with low volume fraction, one‐way coupled Lagrangian approach was used.…”

Section: Methodsmentioning

confidence: 99%

“…Lagrangian discrete phase model (DPM) including drag, gravity, and Brownian forces was used to predict particle transport and deposition characteristics. 31,32 For a dispersed phase (particles) with low volume fraction, one-way coupled Lagrangian approach was used. In this approach, the airflow field is first simulated, and then the trajectories of individual particles are tracked by integrating the particle force balance equation,…”

Section: Computational Fluid Dynamics Modelmentioning

confidence: 99%

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Ultrafine particle deposition in a realistic human airway at multiple inhalation scenarios

Dong

Shang

Tian

et al. 2019

Numer Methods Biomed Eng

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The scarcity of regional deposition data in distal respiratory airways represents an important challenge for current toxicology and pharmacology research. To bridge this gap, a realistic airway model extending from nasal and oral openings to distal bronchial airways with varying pathway length was built in this study. Transport and deposition characteristics of naturally inhaled ultrafine particles (UFPs) ranging from 1 to 100 nm were numerically investigated, and effects of different inhalation scenarios were considered. To enable intercase particle deposition comparison, an adjusted parameter, unified deposition enhancement factor (UDEF), was proposed for quantifying the localised deposition concentration. Results show that compartment particle deposition peaked around the ultrafine end of the considered size range, and it dropped rapidly with the increase of particle size. Different inhalation modes caused notable deposition changes in the extrathoracic region, while its effects in the TB airway are much less. For UFPs larger than 10 nm, predicted deposition efficiencies in all compartments are all at lowest levels among considered particle size range, implying UFPs ranging from 10 to 100 nm can travel through the whole respiratory airway model and escape to the alveolar region. Furthermore, high enhancement factors were observed at the vicinity of most bifurcation apexes, and more even UDEF distribution was observed from 1‐nm particle cases. While for 100‐nm cases, the deposited particles tend to concentrate at few “hot spots” (areas of high deposition concentration in relation to surrounding surfaces) with greater UDEF in the tracheobronchial airway.

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Section: Methodsmentioning

confidence: 99%

Section: Computational Fluid Dynamics Modelmentioning

confidence: 99%

Ultrafine particle deposition in a realistic human airway at multiple inhalation scenarios

Dong

Shang

Tian

et al. 2019

Numer Methods Biomed Eng

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“…To account the effects of different inhalation mode and its transition period, three inhalation exposure case studies were conducted: . Lagrangian discrete phase model (DPM) including drag, gravity, and Brownian forces was used to predict particle transport and deposition characteristics (Inthavong et al, 2009(Inthavong et al, , 2016. For a dispersed phase (particles) with low volume fraction, the one-way coupled Lagrangian approach was used.…”

Section: Numerical Modellingmentioning

confidence: 99%

Numerical assessment of respiratory airway exposure risks to diesel exhaust particles

Dong

Tian

Ahmadi

2019

Exp. Comput. Multiph. Flow

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Exposure to ambient air pollution presents great adverse health risks to respiratory health, and assessing the respiratory exposure doses, especially in the human deep lung regions, remains difficult due to the sheer complexity of the process. To bridge this gap, an extended large-to-small conducting lung airway model was adopted in this study, which includes a broad scope containing bronchial airways up to the 15th generation. Accumulation mode particles in the size range of 100 nm to 3.0 μm representing major size spectrum of coarse diesel exhaust were released at the inlet of respiratory airway model, and both airflow and particle deposition characteristics were numerically investigated. The simulation results showed that the particle deposition in the respiratory airway is sensitive to the variation of inhalation flow rates. For inhalation exposure at lower breathing rate of 18 L/min, both deposited diffusive and inertia particles were very unevenly distributed in the lower respiratory airway. For inhalation exposure at higher breathing rate of 50 L/min, deposited diffusive and inertia particles were both scattered over the lower respiratory airway. In addition, high inhalation flow rate enabled inertia particles to be deposited further downstream of the airway with deposition hot spots observed in distal airways.

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“…To address this problem, it is essential to accurately predict the accumulation of particles deposited on the surfaces around the nozzles in air cabins. CFD modeling with a Eulerian/Lagrangian method is a powerful and mature technique used to simulate particle deposition on indoor surfaces . Few previous studies have focused on the mass accumulation caused by particle deposition around the air supply nozzles in the aircraft environment.…”

Section: Introductionmentioning

confidence: 99%

“…Lagrangian method is a powerful and mature technique used to simulate particle deposition on indoor surfaces. [7][8][9][10] Few previous studies have focused on the mass accumulation caused by particle deposition around the air supply nozzles in the aircraft environment. Chen et al 3 proposed a validated SST kω model with a modified Lagrangian method to simulate particle accumulation on the surface of a multislot diffuser in a room.…”

mentioning

confidence: 99%

Prediction of particle deposition around the cabin air supply nozzles of commercial airplanes using measured in-cabin particle emission rates

et al. 2018

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Enhanced soiling on the surfaces around air supply nozzles due to particle deposition is frequently observed in commercial airliners. The problem is worsened by severe outdoor air pollution and flight delays in China. The particles in an aircraft cabin originate from both outdoor and in-cabin sources. This study conducted measurements on multiple commercial flights to obtain particle emission rates from in-cabin sources. Additional experiments on a retired MD-82 airplane provided justification of the in-flight measurements. The in-cabin sources emitted more particles during boarding/deplaning than during meal servicing and sitting. The average PM2.5 emission rates were 7.2, 2.6, 1.9, and 1.8 (μg/min per person), respectively, during the boarding/deplaning, sitting on the ground, sitting in the air, and meal servicing. The corresponding PM10 emission rates were 15.4, 6.1, 5.3, and 5.4 (μg/min per person), respectively, for these four periods. The average particle emission rate from in-cabin sources varied seasonally and was the highest in winter. With the measured data, this investigation used a CFD model to predict the accumulation of particles deposited around the nozzles of an airplane, taking into account the flight routes and the outdoor particle concentrations at the airports where the airplanes were parked. For the most polluted airplane in China, the dirty spots/areas around the nozzles inside the airplane became visible after 6 months. The method proposed in this study can be used for any commercial airplane to predict the accumulation of particles deposited around the air supply nozzles.

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Lagrangian particle modelling of spherical nanoparticle dispersion and deposition in confined flows

Cited by 35 publications

References 29 publications

Ultrafine particle deposition in a realistic human airway at multiple inhalation scenarios

Ultrafine particle deposition in a realistic human airway at multiple inhalation scenarios

Numerical assessment of respiratory airway exposure risks to diesel exhaust particles

Prediction of particle deposition around the cabin air supply nozzles of commercial airplanes using measured in-cabin particle emission rates

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