2013_inhaledparticles

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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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    RMIT University Inhaled Particles XI 23-25 September 2013 2

    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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    RMIT University SAMME 6

    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/
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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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    RMIT Uni ersit I h l d P ti l XI 23 25 S t b 2013 22

    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)