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

Research output: Contribution to conferencePaper

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 - 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

All Science Journal Classification (ASJC) codes

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

Keywords

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

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  • Cite this

    Yang, S., & Mueller, M. E. (2018). A multi-moment sectional method to predict the soot size distribution. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.