Soot derivatization for source identification

Madhu Singh; Randy L.Vander Wal

Soot derivatization for source identification

Research output: Contribution to conference › Paper › peer-review

Abstract

Soot source identification by laser derivatization (SSILD) is based on the premise that soots originating from different combustion sources differ in their nanostructure, owing to the variation in formation conditions. Combustion conditions-temperature, pressure, fuel, fuel-To-Airratio, fuel-Air mixing-Are specific to each source and differ between sources. Thus, soot produced from different sources will reflect its formation conditions. HRTEM imaging in concert with image analysis algorithms is used to quantify nanostructure parameters. Contrasting nanostructure can identify the soot origin when sufficiently distinct. Where similar nanostructure or more often, poorly contrasted nanostructure is observed, subtle differences may be magnified by laser derivatization to enhance lamellae recognition and quantification.

Original language	English (US)
State	Published - 2018
Event	2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018 - State College, United States Duration: Mar 4 2018 → Mar 7 2018

Other

Other	2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018
Country/Territory	United States
City	State College
Period	3/4/18 → 3/7/18

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Physical and Theoretical Chemistry
General Chemical Engineering

Cite this

@conference{a746ce71c0c84b7792526a76362e9ef1,

title = "Soot derivatization for source identification",

abstract = "Soot source identification by laser derivatization (SSILD) is based on the premise that soots originating from different combustion sources differ in their nanostructure, owing to the variation in formation conditions. Combustion conditions-temperature, pressure, fuel, fuel-To-Airratio, fuel-Air mixing-Are specific to each source and differ between sources. Thus, soot produced from different sources will reflect its formation conditions. HRTEM imaging in concert with image analysis algorithms is used to quantify nanostructure parameters. Contrasting nanostructure can identify the soot origin when sufficiently distinct. Where similar nanostructure or more often, poorly contrasted nanostructure is observed, subtle differences may be magnified by laser derivatization to enhance lamellae recognition and quantification.",

author = "Madhu Singh and Wal, {Randy L.Vander}",

note = "Funding Information: The authors acknowledge support by the National Science Foundation (NSF), Chemical, Bioengineering, Environmental, and Transport Systems (CBET), under Grant Number 1236757. Funding Information: The authors acknowledge support by the National Science Foundation (NSF), Chemical, Bioengineering, Environmental, and Transport Systems (CBET), under Grant Number 1236757. TEM was performed using the facilities of the Materials Research Institute at The Pennsylvania State University. Publisher Copyright: {\textcopyright} 2018 Western States Section/Combustion Institute. All rights reserved.; 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018 ; Conference date: 04-03-2018 Through 07-03-2018",

year = "2018",

language = "English (US)",

}

TY - CONF

T1 - Soot derivatization for source identification

AU - Singh, Madhu

AU - Wal, Randy L.Vander

N1 - Funding Information: The authors acknowledge support by the National Science Foundation (NSF), Chemical, Bioengineering, Environmental, and Transport Systems (CBET), under Grant Number 1236757. Funding Information: The authors acknowledge support by the National Science Foundation (NSF), Chemical, Bioengineering, Environmental, and Transport Systems (CBET), under Grant Number 1236757. TEM was performed using the facilities of the Materials Research Institute at The Pennsylvania State University. Publisher Copyright: © 2018 Western States Section/Combustion Institute. All rights reserved.

PY - 2018

Y1 - 2018

N2 - Soot source identification by laser derivatization (SSILD) is based on the premise that soots originating from different combustion sources differ in their nanostructure, owing to the variation in formation conditions. Combustion conditions-temperature, pressure, fuel, fuel-To-Airratio, fuel-Air mixing-Are specific to each source and differ between sources. Thus, soot produced from different sources will reflect its formation conditions. HRTEM imaging in concert with image analysis algorithms is used to quantify nanostructure parameters. Contrasting nanostructure can identify the soot origin when sufficiently distinct. Where similar nanostructure or more often, poorly contrasted nanostructure is observed, subtle differences may be magnified by laser derivatization to enhance lamellae recognition and quantification.

AB - Soot source identification by laser derivatization (SSILD) is based on the premise that soots originating from different combustion sources differ in their nanostructure, owing to the variation in formation conditions. Combustion conditions-temperature, pressure, fuel, fuel-To-Airratio, fuel-Air mixing-Are specific to each source and differ between sources. Thus, soot produced from different sources will reflect its formation conditions. HRTEM imaging in concert with image analysis algorithms is used to quantify nanostructure parameters. Contrasting nanostructure can identify the soot origin when sufficiently distinct. Where similar nanostructure or more often, poorly contrasted nanostructure is observed, subtle differences may be magnified by laser derivatization to enhance lamellae recognition and quantification.

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M3 - Paper

AN - SCOPUS:85049183465

T2 - 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018

Y2 - 4 March 2018 through 7 March 2018

ER -

Soot derivatization for source identification

Abstract

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All Science Journal Classification (ASJC) codes

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