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Airflow pattern around a worker in a uniform freestream.

T Kim1, M R Flynn

  • 1Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill 27599-7400.

American Industrial Hygiene Association Journal
|July 1, 1991
PubMed
Summary
This summary is machine-generated.

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Understanding airflow patterns around the human body is crucial for designing effective local exhaust ventilation systems. This study reveals distinct airflow behaviors like downwash and vortex shedding, impacting worker exposure.

Area of Science:

  • Industrial hygiene
  • Fluid dynamics
  • Occupational safety

Background:

  • Worker exposure to airborne contaminants is influenced by airflow patterns near the body.
  • Local exhaust ventilation (LEV) system design requires understanding these airflow dynamics for optimal performance.
  • Boundary layer separation significantly affects airflow, necessitating detailed investigation.

Purpose of the Study:

  • To investigate three-dimensional airflow patterns around a human form (mannequin).
  • To identify the effects of boundary layer separation on airflow relevant to LEV design.
  • To quantify airflow characteristics such as vortex shedding frequency and reverse flow regions.

Main Methods:

  • Utilized flow visualization techniques to observe airflow patterns.

Related Experiment Videos

  • Employed hot-film anemometry to measure airflow velocity and frequency.
  • Analyzed airflow around a mannequin representing a worker.
  • Main Results:

    • Observed a downwash effect above the chest area.
    • Identified a combination of downwash and vortex shedding from the chest to the elbows.
    • Determined vortex shedding as dominant from the waist to the hip, with a coherent vertical flow structure near the body.
    • Quantified vortex shedding frequency and estimated dimensions of reverse flow regions and vortices.

    Conclusions:

    • Boundary layer separation creates complex airflow patterns (downwash, vortex shedding) around the human body.
    • These airflow phenomena directly influence contaminant dispersion and worker exposure.
    • Findings provide critical data for optimizing local exhaust ventilation system design to mitigate exposure risks.