Particle Formation, Growth and Transport on the Molecular and Submicron Scale

2018-11
Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Particle Formation, Growth and Transport on the Molecular and Submicron Scale

Alternative title

Published Date

2018-11

Publisher

Type

Thesis or Dissertation

Abstract

Nanoparticle formation, growth and transport are important topics in several contexts, such as cloud formation, particle synthesis and additive manufacturing. This thesis approaches the subject with a broad perspective from molecular to the micro- scale, utilizing theoretical analysis, computational simulation as well as experiment observations. First, general dynamic equations are non-dimensionalized and applied to simulate aerosol formation and growth in a constant rate reaction reactor. Dimensionless equations lead to results that are independent of condensing species formation rates. The effect of particle sink processes (e.g. evaporation, wall loss, loss to preexisting particles and dilution) and acid-base reactions are systematically investigated. Errors involved with common methods used for deducing particle growth rates from experimental observations are discussed. The results suggest the maximum overestimation error for true particle growth rates occurs when particle nucleation and growth are collision controlled. Second, tandem mobility-mass spectrometry is utilized to understand sorption of organic vapors onto cluster ions. It is found that cluster structure, polarity and the molecular structure of the condensing vapors all influence uptake by cluster ions, qualitatively in agreement with previous activation efficiency measurements for condensational particle counters. Third, nanoparticle transport in an aerosol deposition device is probed with fluid dynamics and particle trajectory simulations. To facilitate particle trajectory simulations, a neural network based drag law is developed that can be applied over a wide range of Knudsen and Mach numbers. Simulation results reveal both particle impaction speeds and particle focusing effects are size dependent, with optimal particle sizes for maximizing particle impaction speed and focusing. With a newly developed framework, mass, momentum and kinetic energy fluxes from particles to the substrate are calculated. It is shown the kinetic energy flux can be above 104 W m-2 for modest aerosol concentrations due to particle focusing. Finally, classification and prediction of different types of lung cell are performed with machine learning algorithms, using the volatile organic compound profiles of different cell populations. These profiles are obtained by a proton transfer reaction mass spectrometer with high resolution. Proper data processing procedures are found to be the key to differentiate cell populations with the measured profiles.

Keywords

Description

University of Minnesota Ph.D. dissertation.November 2018. Major: Mechanical Engineering. Advisors: Christopher Hogan, Peter McMurry. 1 computer file (PDF); xi, 185 pages.

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Li, Chenxi. (2018). Particle Formation, Growth and Transport on the Molecular and Submicron Scale. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/206235.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.