Soot derivatization for source identification

Research output: Contribution to conferencePaper

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 languageEnglish (US)
StatePublished - Jan 1 2018
Event2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018 - State College, United States
Duration: Mar 4 2018Mar 7 2018

Other

Other2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018
CountryUnited States
CityState College
Period3/4/183/7/18

Fingerprint

Soot
soot
Nanostructures
Lasers
lamella
image analysis
Image analysis
lasers
Imaging techniques
air
Air

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Physical and Theoretical Chemistry
  • Chemical Engineering(all)

Cite this

Singh, M., & Vander Wal, R. L. (2018). Soot derivatization for source identification. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.
Singh, Madhu ; Vander Wal, Randy Lee. / Soot derivatization for source identification. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.
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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 {Vander Wal}, {Randy Lee}",
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Singh, M & Vander Wal, RL 2018, 'Soot derivatization for source identification' Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States, 3/4/18 - 3/7/18, .

Soot derivatization for source identification. / Singh, Madhu; Vander Wal, Randy Lee.

2018. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.

Research output: Contribution to conferencePaper

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AU - Singh, Madhu

AU - Vander Wal, Randy Lee

PY - 2018/1/1

Y1 - 2018/1/1

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Singh M, Vander Wal RL. Soot derivatization for source identification. 2018. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.