Transport of surgically produced aerosols in an operating room.
The particle transport characteristics of two ventilation configurations commonly used in hospital operating rooms (ORs), cross-flow and impinging-flow ventilation, were investigated. The computational fluid dynamics software FLUENT was used to simulate turbulent airflow with mixed convection in a three-dimensional, rectangular OR. Two OR personnel, a patient, OR spotlights, an anesthetics cart, and an operating table were represented in the room. Heat loads from the personnel, patient, and lights affected the airflow through buoyancy. Particles produced at the operation site with various sizes and initial conditions were tracked through the room. A stochastic model was used to include the random effects of turbulence on particle trajectories. Simulation results show that heat loads from the personnel, patient, and OR spotlights had an important effect on the airflow through natural convection. Particle trajectories were influenced greatly by the flow field structure, particle launch position, and turbulence in the flow, and somewhat by particle size. However, particle paths were insensitive to the launch velocity. Virtually identical trajectories were obtained for particles with launch velocities ranging from 0 to 1 m/sec in magnitude. Changes in ventilation configuration dramatically affected particle transport. The cross-flow ventilation configuration performed better, based on the criteria of removing particles from the breathing zone of room occupants. Proper flow field design and contaminant source placement can be used to control particle transport. Numerical simulations allow quick and inexpensive comparisons between room designs and provide details about airflow and contaminant transport.
Buchanan
C R
CR
Department of Mechanical and Aerospace Engineering, University of California, Irvine 92697, USA.
Dunn-Rankin
D
D
D000336:Aerosols / Q000032:analysis*; D000395:Air Pollutants, Occupational / Q000032:analysis*; D016902:Air Pollution, Indoor / Q000032:analysis*; D003198:Computer Simulation; D004780:Environment, Controlled; D006801:Humans; D007374:Interior Design and Furnishings; D009716:Numerical Analysis, Computer-Assisted; D009873:Operating Rooms; D010316:Particle Size; D013269:Stochastic Processes
D000336:Aerosols; D000395:Air Pollutants, Occupational