| Literature DB >> 35986163 |
Eriko Nambu1, Kazunori Nozaki2, Makoto Tsubokura3, Mikako Hayashi4.
Abstract
Dental professionals are at high risk of exposure to communicable diseases during clinical practice, but many dental clinics provide clinical care in closed spaces. Therefore, it is essential to develop efficient ventilation methods in dental clinics that do not rely on natural ventilation. In this study, to clarify the factors that cause air retention in dental offices, we conducted computational flow dynamics simulations focusing on (1) the flow path from the entrance to the exhaust port and (2) the presence of partitions. A three-dimensional model of a dental clinic with three dental chairs was created, and simulations were conducted for scenarios with and without partitions with different entrance and exhaust port positions. Evaluation of these simulations on the basis of the age of air, an indicator of ventilation efficiency, showed that the value of the air age near the partition was locally high in the scenarios with partitions. In the scenarios where the exhaust port was located close to the entrance, the air age near the exhaust port was high, regardless of the presence of a partition. In addition to wearing protective clothing and sterilizing instruments, it is important to consider air quality improvement as a countermeasure against airborne and droplet infections, such as virus infections, in dental clinics.Entities:
Mesh:
Year: 2022 PMID: 35986163 PMCID: PMC9388959 DOI: 10.1038/s41598-022-18588-9
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 13D geometry of the dental room used in the computational flow dynamics simulation. (A) The dental office was divided into six zones when viewed from the y-direction to evaluate the simulation results. (B) Arrangement of the geometry in the dental office when viewed from the y-direction. (C) Arrangement of the geometry in the dental office when viewed from the z-direction.
The boundary conditions: Air-conditioner vents, ventilation of the dental office (assuming a capacity of six people), exhaust vents (whose location may change depending on the simulation scenario), entrance.
| Air conditioner | Outlet (total of 4 locations) | Airflow (strong wind) | 0.29 m3/s |
| Outlet (per location) | area | 0.03 m3 | |
| air volume | 0.07 m3/s | ||
| wind's direction | θ = 45° | ||
| velocity (perpendicular to blowing surface) | x direction 2.42 m/s, y direction − 2.42 m/s | ||
| velocity | 3.42 m/s | ||
| Clinical room ventilation volume | floor space | 39.20 m2 | |
| Exclusive area (per person) | 6.50 m2 | ||
| Required ventilation (per person) | 30 m3/h | ||
| Clinical room ventilation volume | 360 m3/h | ||
| Exhaust (Change the installation position depending on the case) | Surface area | 0.09 m2 | |
| velocity | 1.11 m/s | ||
| Entrance | Surface area | 4.35 m2 | |
| velocity | 0.02 m/s | ||
| Others | - | Wall, Non-slip, Insulated | |
Four scenarios were proposed for simulation depending on the location of the ventilation openings and the presence of partitions.
| Exhaust vent | |||
|---|---|---|---|
| Near | Far | ||
| Partition | (+) | SCENARIO A | SCENARIO B |
| (−) | SCENARIO C | SCENARIO D | |
Figure 2Visualization of the computational flow dynamics simulation results. Velocity magnitude: the velocity vector field of the entire dental office was visualized, Age: visualization of passive scalar values of age of air for the entire dental office, Age averaged: The dental office was divided into six zones, and the average air age in each zone was visualized.