LES investigation of soot formation in a turbulent non-premixed jet flame with sectional method and FGM chemistry

Abhijit J. Kalbhor (Corresponding author), Daniel Mira, Ambrus Both, Jeroen A. van Oijen

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Abstract

This study proposes a detailed soot modeling framework for large-eddy simulation (LES) to accurately predict soot formation and particle size distributions (PSD) in turbulent reacting flows. The framework incorporates Flamelet Generated Manifold (FGM) chemistry and a soot model based on the discrete sectional method (DSM) to predict both qualitative and quantitative sooting behavior while keeping the computational cost affordable. Two elementary modeling strategies are considered in the LES formalism for describing soot formation rates. These strategies rely on an a-priori tabulation of soot formation rates and their run-time computation. The LES formalism is applied to the simulations of a well-characterized, non-premixed, turbulent jet flame. A comparative analysis of strategies employed for filtered soot source term treatment is conducted to investigate their impact on the prediction of soot quantities and the evolution of soot PSDs. The LES results for the gas phase and soot phase are compared against the available experimental data. A good prediction of soot evolution is achieved with the two methodologies. The tabulation of soot formation rates leads to a significant reduction in computational cost compared to the model based on their explicit runtime computation. The LES results reveal that the modeling of filtered soot source terms has a significant impact on the quantitative prediction of soot formation. The possible reasons for the observed differences in the soot prediction are discussed. The run-time computation-based model provides a more consistent treatment of the non-linear interactions between the gas and soot phases in soot source terms compared to the tabulated soot chemistry approach. On the other hand, the tabulated soot chemistry model is an interesting and efficient modeling approach for predicting soot formation in turbulent conditions. Overall, both approaches have their strengths and limitations, and the choice of approach may depend on the specific needs of the application.
Original languageEnglish
Article number113128
Number of pages18
JournalCombustion and Flame
Volume259
DOIs
Publication statusPublished - Jan 2024

Funding

The research leading to these results has received funding from the European Union's Horizon 2020 Programme under the ESTiMatE project, grant agreement No. 821418, and the AHEAD PID2020-118387RB-C33 and SAFLOW TED2021-131618B-C21 projects from the Ministerio de Ciencia e Innovación. DM acknowledges the grant from the Ministerio de Ciencia e Innovación, Ayudas para contratos Ramón y Cajal (RYC) 2021: RYC2021-034654-I. The authors gratefully acknowledge the Partnership for Advanced Computing in Europe (PRACE) grant Soot Aero for computational resources and technical support in the numerical simulations. The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under the ESTiMatE project, grant agreement No. 821418 , and the AHEAD PID2020-118387RB-C33 and SAFLOW TED2021-131618B-C21 projects from the Ministerio de Ciencia e Innovación. DM acknowledges the grant from the Ministerio de Ciencia e Innovación, Ayudas para contratos Ramón y Cajal (RYC) 2021: RYC2021-034654-I. The authors gratefully acknowledge the Partnership for Advanced Computing in Europe (PRACE) grant Soot Aero for computational resources and technical support in the numerical simulations.

FundersFunder number
Horizon 2020821418
European Union's Horizon 2020 - Research and Innovation Framework Programme
European Union's Horizon 2020 - Research and Innovation Framework Programme821418, SAFLOW TED2021-131618B-C21, PID2020-118387RB-C33
Ministerio de Ciencia e InnovaciónRYC2021-034654-I

    Keywords

    • Discrete sectional method
    • Flamelet generated manifold
    • Large eddy simulation
    • Turbulent non-premixed flames

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