Doctoral Dissertations

Keywords and Phrases

DPM; EDS; ELPI; Size segregated sampling; STEM; Underground mining

Abstract

“Diesel-powered engines are a common source of submicron carbon-rich particles. Characterizing morphological and physical attributes of diesel agglomerates is therefore of great importance to be able to identify the source and improve removal technology. Size-segregated sampling was conducted in two phases of underground experiments. Scanning transmission electron microscopy and fast mobility particle sizers were used to determine the size distribution of agglomerates based on particle mobility and projected area diameter. Controlled zone sampling test results were used to determine the morphological characteristics of agglomerates for specific types of diesel equipment both with and without removal strategies. Changes in fractal dimension, shape factor and primary particle diameter were observed for examined control strategies as well as light duty and heavy duty engines. Samples collected from uncontrolled zone showed higher fractal dimension of chain-like agglomerates. Volatile carbon particles were found on the surface of dust particles at the interaction point with diesel agglomerate. EDS measurements were used to identify chemical traces of dust related elements and identify the source of chain-like agglomerates. Controlled zone results showed the size distribution decreased for the agglomerates emitted from engines with newer technology. Three types of chain-like agglomerates were identified during image analysis: chain-like agglomerates with graphitic structure, amorphous carbon-rich agglomerates, and chain-like agglomerates with intrinsic catalyst. Size segregated sampling followed by microscopic and chemical analysis assisted to determine detailed characterization and source apportionment of aerosols in the underground atmosphere”--Abstract, page iii.

Advisor(s)

Homan, Kelly

Committee Member(s)

Van Devener, Brian
Brune, Jurgen
Awuah-Offei, Kwame, 1975-
Whitefield, Philip D.
Duan, Lian, 1983-

Department(s)

Mining Engineering

Degree Name

Ph. D. in Mining Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2019

Pagination

xvi, 196 pages

Note about bibliography

Includes bibliographic references (pages 183-195).

Rights

© 2019 Arash Ari Habibi, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12080

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