A numerical study on soot formation and evolution in co-flow diffusion flames under elevated pressures

Dezhi Zhou, Shufan Zou, Suo Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

One of the major concerns in high pressure combustion is its high soot yield, which was observed in many sooting flame experiments. An exact and comprehensive mechanism behind this phenomenon, from a chemical kinetics perspective, is still elusive. In this study, a series of pressurized (1-16 atm) co-flow ethylene diffusion sooting flames are simulated with detailed finite-rate chemistry. The soot evolution is described by the bivariate Hybrid Method of Moments (HMOM). The simulations well reproduce the experimental maximum soot volume fraction and its scaling law with the increasing pressure. Global Pathway Analysis (GPA) is conducted to reveal the dominance and sensitivity of soot chemical pathways at elevated pressures. It is found that elevated pressures could switch the dominant global pathway (GP) to reactions through indene/indenyl for the formation of naphthalene (A2), which indicates the potential direction to improve the chemical mechanism for elevated pressures. In addition, the dominant GP (based on C element flux) from fuel to H2 O at elevated pressures is found to produce more H radical, which promotes the soot surface growth significantly. Radiation effect on the soot formation and evolution is also analyzed and discussed in this study.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105951
DOIs
StatePublished - 2020
EventAIAA Scitech Forum, 2020 - Orlando, United States
Duration: Jan 6 2020Jan 10 2020

Publication series

NameAIAA Scitech 2020 Forum
Volume1 PartF

Conference

ConferenceAIAA Scitech Forum, 2020
Country/TerritoryUnited States
CityOrlando
Period1/6/201/10/20

Bibliographical note

Funding Information:
S. Yang gratefully acknowledges the faculty start-up funding from the University of Minnesota. The authors gratefully acknowledge Prof. Graham V. Candler and the Minnesota Supercomputing Institute (MSI) for the computational resources.

Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

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