An assessment of the sectional soot model and FGM tabulated chemistry coupling in laminar flame simulations

Kalbhor, Abhijit; Oijen, J.A. van

doi:10.1016/j.combustflame.2021.02.027

Cited by 11 publications

(4 citation statements)

References 43 publications

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“…The flamelets are pre-computed considering diffusion and convection effects, and the relevant data are stored in a lookup table as a function of control variables. During the numerical simulation, the transport equations are solved for these control variables together with fluid flow and state equations, while the thermochemical parameters are interpolated from the lookup table [30]. Through this preprocessing approach of combustion chemistry, the computational time is significantly reduced.…”

Section: Flamelet-generated Manifold Combustion Modelmentioning

confidence: 99%

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Tabulated Chemistry Combustion Model for Cost-Effective Numerical Simulation of Dual-Fuel Combustion Process

Stipic,

Basara,

Schmidt

et al. 2023

Energies

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This study is dedicated to improving the efficiency of the flamelet-generated manifold (FGM) tabulated chemistry combustion modeling approach for predicting the combustion process in diesel-ignited internal combustion (IC) engines. The primary focus is on reducing table generation time and memory requirements. To accurately predict dual-fuel combustion processes, it is important to model both premixed and non-premixed combustion regimes. However, attempting to include both regimes in a single FGM lookup table leads to significant increases in the table size and generation time. In response, this work proposes a dual-table configuration, with each table dedicated to a specific regime. The solution is then interpolated from these tables based on the calculated combustion regime indicator during the computational fluid dynamics (CFD) simulation. This approach optimizes computational efficiency while ensuring an accurate representation of dual-fuel combustion. Additionally, to establish a cost-effective and accurate 3D CFD simulation workflow, the dual-table FGM methodology is coupled with the partially averaged Navier–Stokes (PANS) turbulence model. The feasibility of the proposed FGM methodology is tested utilizing six chemical kinetics mechanisms with different levels of detail. The results of this study demonstrated that the dual-table approach significantly accelerates table generation time and reduces memory requirements compared to a single table that includes both combustion regimes. Furthermore, 3D CFD simulation results of the dual-fuel combustion process are validated against available experimental data for three engine operating points. The in-cylinder pressure traces and rate of heat release obtained from the 3D CFD simulations employing the FGM PANS methodology show good agreement with experimental measurements, confirming the accuracy and reliability of this modeling approach.

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Section: Flamelet-generated Manifold Combustion Modelmentioning

confidence: 99%

“…Energies 2023, 16, x FOR PEER REVIEW 6 of 22 and state equations, while the thermochemical parameters are interpolated from the lookup table [30]. Through this preprocessing approach of combustion chemistry, the computational time is significantly reduced.…”

Section: Fuel Ratiomentioning

confidence: 99%

Tabulated Chemistry Combustion Model for Cost-Effective Numerical Simulation of Dual-Fuel Combustion Process

Stipic,

Basara,

Schmidt

et al. 2023

Energies

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“…Therefore, reaching a deeper understanding of the soot formation pathways within the combustion of Jet A-1 and SAF is essential to speed up the development of cleaner combustion technologies. Soot models such as e.g., the sectional approach [5][6] and the method of moments [7,8] are being continuously developed to model soot particle formation in aero-engine combustors. The interface between a chemical kinetic mechanism and a specific soot formation model is achieved by the transition from polycyclic aromatic hydrocarbons (PAHs) from the gas-phase to soot particles.…”

Section: Introductionmentioning

confidence: 99%

An Upgraded Chemical Kinetic Mechanism for Iso-Octane Oxidation: Prediction of Polyaromatics Formation in Laminar Counterflow Diffusion Flames

Hernandez

Kathrotia

Methling

et al. 2023

Journal of Engineering for Gas Turbines and Power

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Iso-octane is widely recognized as a prominent candidate to represent the oxidation of iso-alkanes within jet fuel and gasoline surrogates. This work evaluated a chemical kinetic mechanism for iso-octane focusing on the model's capability to predict the formation of polycyclic aromatic hydrocarbons (PAHs). As the model is intended to be further coupled with soot models, the chemical kinetic mechanism must supply good predictability of the formation and consumption of PAHs considered as major soot precursors. A first validation of the iso-octane sub-model as incorporated within ESTiMatE-Mech, using experimental data from literature, reveals the need to improve the sub-model. Considerable deviations were observed in the prediction of the PAHs, although concentration profiles of major species and fundamental combustion properties such as ignition delay time and laminar flame speed were accurately predicted. Through rate of production and sensitivity analyses of the mechanism, nine reactions were identified to have a strong influence in the (over)prediction of the PAHs. These reactions have been modified based on information gathered from literature resulting in an updated version of the mechanism called ESTiMatE-Mech_mod. Simulation results with this modified mechanism showed that this updated mechanism is now capable of predicting well the targeted PAHs, while retaining the good initial prediction of the major species concentration profiles as well as of laminar flame speeds and ignition delay times.

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“…By preprocessing the chemical modeling in this manner, the computational cost is decreased while still maintaining accuracy. The stiff formulations are isolated from the fluid dynamic computations, which allows large mechanism adoption [21].…”

Section: Introductionmentioning

confidence: 99%

Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame

Rahnama

Novella

et al. 2023

Energy and AI

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An assessment of the sectional soot model and FGM tabulated chemistry coupling in laminar flame simulations

Cited by 11 publications

References 43 publications

Tabulated Chemistry Combustion Model for Cost-Effective Numerical Simulation of Dual-Fuel Combustion Process

Tabulated Chemistry Combustion Model for Cost-Effective Numerical Simulation of Dual-Fuel Combustion Process

An Upgraded Chemical Kinetic Mechanism for Iso-Octane Oxidation: Prediction of Polyaromatics Formation in Laminar Counterflow Diffusion Flames

Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame

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