Uncertainty in aspiration efficiency estimates from torso simplifications in computational fluid dynamics simulations.

Uncertainty in aspiration efficiency estimates from torso simplifications in computational fluid dynamics simulations.
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计算流体动力学模拟中躯干简化导致的抽吸效率估计的不确定性。

DOI:
10.1093/annhyg/mes063
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发表时间:
2013
期刊:
The Annals of occupational hygiene
影响因子:
--
通讯作者:
Anthony,TRenée
Anthony,TRenée
中科院分区:
--
文献类型:
--
作者:
Anderson,KimberlyR;Anthony,TRenée

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Computational fluid dynamics (CFD) has been used to report particle inhalability in low velocity freestreams, where realistic faces but simplified, truncated, and cylindrical human torsos were used. When compared to wind tunnel velocity studies, the truncated models were found to underestimate the air’s upward velocity near the humans, raising questions about aspiration estimation. This work compares aspiration efficiencies for particles ranging from 7 to 116 µm using three torso geometries: (i) a simplified truncated cylinder, (ii) a non-truncated cylinder, and (iii) an anthropometrically realistic humanoid body. The primary aim of this work is to (i) quantify the errors introduced by using a simplified geometry and (ii) determine the required level of detail to adequately represent a human form in CFD studies of aspiration efficiency. Fluid simulations used the standard k-epsilon turbulence models, with freestream velocities at 0.1, 0.2, and 0.4 m s−1and breathing velocities at 1.81 and 12.11 m s−1to represent at-rest and heavy breathing rates, respectively. Laminar particle trajectory simulations were used to determine the upstream area, also known as the critical area, where particles would be inhaled. These areas were used to compute aspiration efficiencies for facing the wind. Significant differences were found in both vertical velocity estimates and the location of the critical area between the three models. However, differences in aspiration efficiencies between the three forms were <8.8% over all particle sizes, indicating that there is little difference in aspiration efficiency between torso models.
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