A multi-moment sectional method to predict the soot size distribution

Suo Yang, Michael E. Mueller

Research output: Contribution to conferencePaperpeer-review

Abstract

A new Multi-Moment Sectional Method (MMSM) is developed to predict the evolution of the soot size distribution. Unlike conventional sectional methods, in MMSM, multiple moments are solved within each section, and the soot number density function within each section is reconstructed from a polynomial profile or, for the last section, an exponential profile. The MMSM approach is combined with a detailed univariate soot model and applied to the prediction of the soot size distribution in an ethylene laminar premixed flame. Compared to a pure sectional method, MMSM is shown to achieve a higher rate of convergence for the predicted total number density and particle size distribution.

Original languageEnglish (US)
StatePublished - 2018
Externally publishedYes
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
Country/TerritoryUnited States
CityState College
Period3/4/183/7/18

Bibliographical note

Funding Information:
This research was funded by the Princeton University School of Engineering and Applied Science through the Alfred Rheinstein Faculty Award.

Publisher Copyright:
© 2018 Eastern States Section of the Combustion Institute. All rights reserved.

Keywords

  • Method of moments
  • Particle size distribution
  • Sectional method
  • Soot

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