2019
DOI: 10.1016/j.ijmultiphaseflow.2019.05.007
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Quantification of preferential concentration of colliding particles in a homogeneous isotropic turbulent flow

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Cited by 10 publications
(17 citation statements)
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References 65 publications
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“…This is simply due to the fact that the volume of the puff continues to increase and this continuously dilutes the aerosol concentration. Most importantly, the results of the simple model presented in (31) and (32) are in excellent agreement with those obtained from Monte-Carlo simulation. The increasing size of the contaminated cloud with time can be predicted with (38) and the centroid is given by the scaling law (16).…”
Section: Sample Model Estimation Of Airborne Transmissionsupporting
confidence: 73%
See 2 more Smart Citations
“…This is simply due to the fact that the volume of the puff continues to increase and this continuously dilutes the aerosol concentration. Most importantly, the results of the simple model presented in (31) and (32) are in excellent agreement with those obtained from Monte-Carlo simulation. The increasing size of the contaminated cloud with time can be predicted with (38) and the centroid is given by the scaling law (16).…”
Section: Sample Model Estimation Of Airborne Transmissionsupporting
confidence: 73%
“…where φ(d, t) is the droplet nuclei concentration at the breathing zone given in (31) or (32). It is seen that the concentration of inhaled droplets larger than 10 microns significantly decreases when the mask is used.…”
Section: Respiratory Face Masksmentioning
confidence: 99%
See 1 more Smart Citation
“…In the model, we set the minimum diameter that all drops can achieve equal to 1 μm (shown by the single point indicated in the figure) so to emphasize this effect of the model. Recall that intermittency of turbulence with the puff can create clusters of droplets and concentration of vapor and thereby significantly alter the evaporation rate ( Ernst, Sommerfeld, Lan, 2019 , Villermaux, Moutte, Amielh, Meunier, 2017 , Eaton, Fessler, 1994 ). Hence, our estimate of evaporation time is a lower bound, as governed by the d 2 -law (21) .…”
Section: Discussion On Current Assumptions and Sample Analysismentioning
confidence: 99%
“…Because of this ever decreasing evaporation rate, it may take longer for a droplet to decrease from its ejection diameter of d e to its final droplet nuclei diameter of d dr , than what is predicted by (21) . It should be noted that intermittency of turbulence and heterogeneity of vapor concentration and droplet distribution within the puff will influence the evaporation rate ( Ernst, Sommerfeld, Lan, 2019 , Villermaux, Moutte, Amielh, Meunier, 2017 , Eaton, Fessler, 1994 ). Nevertheless, for simplicity, and for the purposes of the present first order mathematical framework, we use the d 2 -law given in (21) , but with a smaller value of effective k ′ to account for the effect of non-volatiles and turbulence intermittency.…”
Section: Transport Stagementioning
confidence: 99%