Computational predictions of porosities, pore size distributions, and conductivities of aerosol deposited particulate films

被引:10
|
作者
Lee, Jihyeon [1 ]
Hogan, Christopher J., Jr. [1 ]
机构
[1] Univ Minnesota, Dept Mech Engn, Minneapolis, MN 55455 USA
关键词
Aerosol deposition; Particulate films; Pore size distribution; Langevin dynamics; NANOSTRUCTURED TIO2 FILMS; THERMAL-CONDUCTIVITY; ROOM-TEMPERATURE; MONTE-CARLO; SOOT SENSOR; SIMULATION; MORPHOLOGY; NANOPARTICLES; FLOW; ATOMIZATION;
D O I
10.1016/j.powtec.2020.09.078
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The structure and resulting physical properties of aerosol deposited particulate films are governed by the size distribution and morphology of the depositing particles as well as the physics governing particle deposition. While particulate film deposition processes are qualitatively understood, the link between particle characteristics and deposition physics to film properties has not been probed systematically. Here we apply a combination of Langevin dynamics deposition simulations, Monte Carlo pore size distribution calculations, and predictions of thermal conductivities to better establish such process parameter-film property relationships. We account for partial coalescence, polydispersity, and aggregate deposition. We establish that the deposition of polydisperse and aggregated particles leads to broadening of the pore size distribution function and an increase in the mode pore size. Via a non-continuum gas conductivity model, we show that aerosol deposited films can achieve porosities and thermal conductivities similar to conventional aerogels. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:400 / 409
页数:10
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