Numerical analysis of the influence of nonequilibrium plasma on the nucleation rate of supersaturated steam

Thumbnail
Name:
_1.5143917.pdf
Size:
2.060Mb
Format:
PDF
Description:
Published version
Download
Type
Article
Authors
Li, Sen cc
Wang, Xiaobing
Liu, Yang cc
Cheng, Qinglin
Bian, Bin cc
Pu, Hui
Ma, Tingting
Tang, Bo
KAUST Department
Biological and Environmental Sciences and Engineering (BESE) Division
Environmental Science and Engineering Program
Date
2020-02-14
Online Publication Date
2020-02-14
Print Publication Date
2020-02-01
Permanent link to this record
http://hdl.handle.net/10754/661940

Metadata
Show full item record
Abstract
In this paper, a preliminary numerical method is established to simulate the effect of nonequilibrium plasma in water vapor on the nucleation rate of condensation. In this model, the plasma drift-diffusion model is employed to describe the water vapor plasma by considering a set of simplified reaction mechanisms. A heterogeneous condensation model describes the rate of water vapor nucleation on ions. The numerical simulation results show the formation and distribution of charged particles in nonequilibrium plasma and the effect of charged particles on the nucleation rate. The results also show that the nucleation rate increases rapidly with increasing supersaturation due to the presence of nonequilibrium plasma and is significantly higher with plasma than without plasma. The process of plasma-enhanced water vapor nucleation can be simulated quantitatively by this preliminary numerical method.
Citation
Li, S., Wang, X., Liu, Y., Cheng, Q., Bian, B., Pu, H., … Tang, B. (2020). Numerical analysis of the influence of nonequilibrium plasma on the nucleation rate of supersaturated steam. AIP Advances, 10(2), 025322. doi:10.1063/1.5143917
Sponsors
This work was funded by the National Natural Science Foundation of China under Grant No. 51706023.
Publisher
AIP Publishing
Journal
AIP Advances
DOI
10.1063/1.5143917
Additional Links
http://aip.scitation.org/doi/10.1063/1.5143917
Collections
Articles; Biological and Environmental Sciences and Engineering (BESE) Division; Environmental Science and Engineering Program
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. The following article appeared in AIP Advances and may be found at http://doi.org/10.1063/1.5143917.
Except where otherwise noted, this item's license is described as This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. The following article appeared in AIP Advances and may be found at http://doi.org/10.1063/1.5143917.