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Charging of Fine Aerosol Particles.

Li, Li.

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Charging of Fine Aerosol Particles.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Charging of Fine Aerosol Particles./
作者:	Li, Li.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	227 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Contained By:	Dissertations Abstracts International82-12B.
標題:	Engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412385
ISBN:	9798738610264

Charging of Fine Aerosol Particles.
Li, Li.

Charging of Fine Aerosol Particles. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 227 p.

Source: Dissertations Abstracts International, Volume: 82-12, Section: B.

Thesis (Ph.D.)--The University of Memphis, 2021.

This item must not be sold to any third party vendors.

The particle electric charge distribution plays a critical role in electrical mobility measurements of nanoparticle size distribution functions, where it is usually estimated by empirical regression equations. However, there are still lack of methods to accurately calculate nanoparticle-ion collision rates in the presence of strong attractive potentials and to calculate aerosol particle charge distributions with detailed consideration of ion properties. This dissertation consists of three main parts and aims to address the pending issues. The main purpose is to obtain a precise prediction on the aerosol particle charge under various conditions of charging, along with the collision kernel expressions developed and validated. Chapter 2 develops a diffusion charging collision kernel model for attractive Coulombic and image potential interactions between ion and particles. Chapter 3 extends the prior developed model to include the influence of particle. Chapter 4 demonstrates a modeling approach to calculate particle charge distribution through a non-thermal plasma and afterglow. This dissertation presents the theoretical results showing the calculation of the distribution of charges on aerosol particles as a function of particle mobility size and the simulated results are tested by comparison with experimental results. Specifically, comparison with the data of Gopalakrishnan et al. (2015a) with entire ion mass-mobility distribution shows good agreement with predictions of the Langevin Dynamics (LD)-based model, thereby indicating the capability of model to accommodate multi-ion populations and arbitrary shapes of particles. We successfully validated the ability of LD-based simulations to accurately predict rate constants for collision processes in physical systems.

ISBN: 9798738610264Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Aerosols

Charging of Fine Aerosol Particles.
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260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 227 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
500 $a Advisor: Gopalakrishnan, Ranganathan.
502 $a Thesis (Ph.D.)--The University of Memphis, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The particle electric charge distribution plays a critical role in electrical mobility measurements of nanoparticle size distribution functions, where it is usually estimated by empirical regression equations. However, there are still lack of methods to accurately calculate nanoparticle-ion collision rates in the presence of strong attractive potentials and to calculate aerosol particle charge distributions with detailed consideration of ion properties. This dissertation consists of three main parts and aims to address the pending issues. The main purpose is to obtain a precise prediction on the aerosol particle charge under various conditions of charging, along with the collision kernel expressions developed and validated. Chapter 2 develops a diffusion charging collision kernel model for attractive Coulombic and image potential interactions between ion and particles. Chapter 3 extends the prior developed model to include the influence of particle. Chapter 4 demonstrates a modeling approach to calculate particle charge distribution through a non-thermal plasma and afterglow. This dissertation presents the theoretical results showing the calculation of the distribution of charges on aerosol particles as a function of particle mobility size and the simulated results are tested by comparison with experimental results. Specifically, comparison with the data of Gopalakrishnan et al. (2015a) with entire ion mass-mobility distribution shows good agreement with predictions of the Langevin Dynamics (LD)-based model, thereby indicating the capability of model to accommodate multi-ion populations and arbitrary shapes of particles. We successfully validated the ability of LD-based simulations to accurately predict rate constants for collision processes in physical systems.
590 $a School code: 1194.
650 4 $a Engineering. $3 586835
650 4 $a Molecular physics. $3 3174737
650 4 $a Nanoscience. $3 587832
653 $a Aerosols
653 $a Charging
653 $a Collision
653 $a Langevin Dynamics
653 $a Nanoparticles
653 $a Charge and size distribution
653 $a Electrical mobility
653 $a Nanoparticle-ion collision rate
653 $a Collision kernels
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710 2 $a The University of Memphis. $b Mechanical Engineering. $3 3564479
773 0 $t Dissertations Abstracts International $g 82-12B.
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791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412385