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Abstract
The present study aims to examine the effects of medical staff’s turning movements on the number of particles falling onto the patient. A simplified computational fluid dynamics (CFD) model of the operating room was developed and validated based on the published data. An RNG k-ε turbulence model based on the Reynolds-Averaged Navier-Stokes (RANS) equations was used to simulate the airflow, while a discrete phase model was used to simulate the movement of the airborne particles. The medical staff’s turning movements were controlled by integrating a user-defined function (UDF) code and using a dynamic mesh method. Results show that medical staff’s turning movements have a significant influence on the airflow velocity distribution and particle concentration around the patient. A turning movement generally causes more particle deposition; and bending arms also increase the particle depositions when compared to straight arms.
Disclosure statement
No potential conflict of interest was reported by the author(s).