Detailed micro-particle deposition patterns in the human nasal cavity influenced by the breathing zone

2015 ◽  
Vol 114 ◽  
pp. 141-150 ◽  
Author(s):  
Y.D. Shang ◽  
K. Inthavong ◽  
J.Y. Tu
Keyword(s):  
Nasal Cavity ◽  
Particle Deposition ◽  
Breathing Zone ◽  
Deposition Patterns

Comparison of micron- and nanoparticle deposition patterns in a realistic human nasal cavity

2009 ◽  
Vol 166 (3) ◽  
pp. 142-151 ◽  
Author(s):  
S.M. Wang ◽  
K. Inthavong ◽  
J. Wen ◽  
J.Y. Tu ◽  
C.L. Xue
Keyword(s):  
Nasal Cavity ◽  
Nanoparticle Deposition ◽  
Deposition Patterns

Flow structures and particle deposition patterns in double-bifurcation airway models. Part 2. Aerosol transport and deposition

2001 ◽  
Vol 435 ◽  
pp. 55-80 ◽  
Author(s):  
J. K. COMER ◽  
C. KLEINSTREUER ◽  
C. S. KIM
Keyword(s):  
Particle Deposition ◽  
Air Flow ◽  
Reynolds Numbers ◽  
Companion Paper ◽  
Stokes Number ◽  
Vortical Flow ◽  
Flow Structures ◽  
Particle Distributions ◽  
Deposition Patterns ◽  
Inlet Conditions

The flow theory and air flow structures in symmetric double-bifurcation airway models assuming steady laminar, incompressible flow, unaffected by the presence of aerosols, has been described in a companion paper (Part 1). The validated computer simulation results showed highly vortical flow fields, especially around the second bifurcations, indicating potentially complex particle distributions and deposition patterns. In this paper (Part 2), assuming spherical non-interacting aerosols that stick to the wall when touching the surface, the history of depositing particles is described. Specifically, the finite-volume code CFX (AEA Technology) with user-enhanced FORTRAN programs were validated with experimental data of particle deposition efficiencies as a function of the Stokes number for planar single and double bifurcations. The resulting deposition patterns, particle distributions, trajectories and time evolution were analysed in the light of the air flow structures for relatively low (ReD1 = 500) and high (ReD1 = 2000) Reynolds numbers and representative Stokes numbers, i.e. StD1 = 0.04 and StD1 = 0.12. Particle deposition patterns and surface concentrations are largely a function of the local Stokes number, but they also depend on the fluid–particle inlet conditions as well as airway geometry factors. While particles introduced at low inlet Reynolds numbers (e.g. ReD1 = 500) follow the axial air flow, secondary and vortical flows become important at higher Reynolds numbers, causing the formation of particle-free zones near the tube centres and subsequently elevated particle concentrations near the walls. Sharp or mildly rounded carinal ridges have little effect on the deposition efficiencies but may influence local deposition patterns. In contrast, more drastic geometric changes to the basic double-bifurcation model, e.g. the 90°-non-planar configuration, alter both the aerosol wall distributions and surface concentrations considerably.

Numerical investigation of unsteady particle deposition in a realistic human nasal cavity during inhalation

2019 ◽  
Vol 1 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Xin Gu ◽  
Jian Wen ◽  
Mengmeng Wang ◽  
Guanping Jian ◽  
Guoxi Zheng ◽  
...  
Keyword(s):  
Nasal Cavity ◽  
Numerical Investigation ◽  
Particle Deposition

Comparison Between the Numerical and Experimental Deposition Patterns for an Electrostatic Rotary Bell Sprayer

2015 ◽  
Author(s):  
Husam Osman ◽  
Kazimierz Adamiak ◽  
G. S. Peter Castle ◽  
Hua-Tzu (Charles) Fan ◽  
Joseph Simmer
Keyword(s):  
Numerical Model ◽  
Mass Flow Rate ◽  
Flow Rate ◽  
Particle Deposition ◽  
Numerical Results ◽  
Deposition Patterns ◽  
Dispersed Particles ◽  
3D Numerical Model ◽  
Deposition Thickness ◽  
Fractional Mass

In this paper, a full 3D numerical model using ANSYS commercial software has been created to simulate the particle deposition profile for stationary and moving flat targets, assuming multiple injections of charged poly-dispersed particles. Different injection angles along three virtual rings were assumed to form a shower injection pattern. The experimental and the numerical results of deposition thickness have been presented and compared for different injection patterns. It has been found that there are some parameters, such as the total number of injection points, the radii of the rings and the fractional mass flow rate in each injection ring, which affect the numerical results of the deposition thickness and uniformity.

Particle Deposition Onto a Flat Surface from a Point Particle Source

1988 ◽  
Vol 31 (6) ◽  
pp. 39-41
Author(s):  
Frank Stratmann ◽  
Heinz Fissan ◽  
Thomas Peterson
Keyword(s):  
Particle Deposition ◽  
Flat Surface ◽  
Particle Beam ◽  
Point Particle ◽  
Two Dimensional ◽  
Stagnation Flow ◽  
Flow Configuration ◽  
Convection Diffusion ◽  
Deposition Patterns ◽  
Thermophoresis Particle Deposition

A series of two-dimensional calculations are performed to determine particle fluxes to wafers in a stagnation flow configuration. Mechanisms that influenced particle deposition included convection, diffusion, sedimentation, and thermophoresis. Particle deposition patterns resulting from a uniform freestream concentration are compared with deposition patterns from a narrow particle beam.

Sign in / Sign up

Export Citation Format

Share Document