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Kiao Inthavonga, Terry Elms b, Nichola Porter b, Jiyuan Tua
a School of Aerospace, Mechanical and Manufactur ing Engineering
bSchool Applied Sciences
RMIT University, Melbourne, Australia
An integrated and multi-disciplinary
approach to inhalation exposure
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BackgroundCase Study: Dust monitoring at Berwick District Woodworkers Club
Finish Cut (redgum)
Hard cut (camphor laurel)
Hand sanding (redgum) Sanding (Tasmanian Oak)
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An integrated framework
Experimental Measurements
high speed photography
measurement of airflow/ventilation
particle concentration sampling
Computational Fluid Dynamics
fluid flow modelling
fluid-particle interaction modelling
particle diffusion, and reaction with mucus
Lagrangian Particle Tracking
F = ma
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An integrated framework
Local Dosimetry = Concentration X Aspiration Efficiency X Deposi tion Fraction
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Sampling
SKC Gravimetric
Personal SamplerDustrak II 8530
unitdust feeder system
dust chamber
Dusttrak vs SKC dust samplingcomparison
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Dust exposure monitoring
0sd
High speed video imaging and long term video capture used.
Real time and gravimetric sampling was performed.
Workshop activity, room geometry are significant factors for inhalation.
How can we mitigate respirable dust?
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New extraction ventilation designs
Piccolo ventilation prototype design
Airflow velocity streamlinesCFD model
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An integrated framework
Local Dosimetry = Concentration X Aspiration Efficiency X Deposi tion Fraction
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Influence of ambient airflow
Inthavong K, et al. (2012) Detailed predictions of particle aspiration, affected by respiratory inhalation and airflow. ATMOSPHERIC ENVIRONMENT 62:107-117
External flow velocity vectors
Internal flow velocity streamlines
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Wake flow and dust redistribution
wake flow velocity vectors
streamlined body bluff body
vortex shedding behind cylinders
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Airborne particle trajectories
Inthavong, Ketal. (2013) Source and trajectories of inhaled particles from a surrounding environment and its deposition in the respiratory airway. INHALATIONTOXICOLOGY 25(5):280-91
Particle trajectories from different upstream source locations
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Deposition fractions of inhaled particles
Inthavong, Ketal. (2013) Source and trajectories of inhaled particles from a surrounding environment and its deposition in the respiratory airway. INHALATIONTOXICOLOGY 25(5):280-91
Deposition fractionsAspiration efficiency
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An integrated framework
Local Dosimetry = Concentration X Aspiration Efficiency X Deposi tion Fraction
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Particle-mucus modelling
Air flow
path
Particles
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3D to 2D surface mapping
XYZ-Domain UV-Domain
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Normalize
Unwrap
Cut surface along
black curves
Inlet
Left Cavity
Outlet
Right Cavity
Divide nasal cavity
Septal
Lateral
Lateral
UV-Mapping of the nasal cavity
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3D to 2D surface mapping
www.cfdresearch.com/matlab-2/uv-unwrapping-tool/ .Inthavong et al. (2013), Surface mapping for visualization of wall stresses during inhalation
in a human nasal cavity, RESPIRATORY PHYSIOLOGY & NEUROBIOLOGY
Animation of the unwrapping techniqueData management tool for unwrapping
Matlab executable
Matlab source files
http://www.cfdresearch.com/matlab-2/uv-unwrapping-tool/http://www.cfdresearch.com/matlab-2/uv-unwrapping-tool/8/12/2019 2013_InhaledParticles
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Wall shear stress mapping
P i l d i i i
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Particle deposit ion mapping
Time dependent deposition pattern for 10m particles in the UV-domain. Each image represents the total fraction
of all deposited particles. 20% deposition efficiency at 10L/min inhalation rate
C t k
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Current work
mucociliary action:
mucus velocity ~50 micron/sec
Local Dosimetry = Concentration X Aspiration Efficiency X Deposi tion Fraction
F t k
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Future work
A k l d t
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Acknowledgements
Id like to thank my colleagues and supervisors who have contributed to the outcomes
in this presentation Prof Jiyuan Tu (RMIT University)
Yidan Shang (RMIT University)
Mr Bill Munt (Berwick District Woodworkers Club)
Mr Daniel Sullivan (D&E Air Conditioning)
Dr Rui Chen (National Centre for Nanoscience and Technology)
2012: Australian Research Council (project ID DP120103958)
2010: Emerging Research Grant RMIT University
2009: Australian Research Council (project ID LP0989452)