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Chemical Reactions: Advanced CFD Training Package — Ep 01

Premixed Combustion: Finite Rate/No TCI

Lesson
01
Run Time
16m 17s
Published
Sep 19, 2026
Course Progress
0%
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About This Lesson

Premixed Combustion, Finite Rate/No TCI Model, ANSYS Fluent CFD Simulation Training

Description

This project simulates premixed combustion inside a two-dimensional combustion chamber using ANSYS Fluent, focusing on the Finite Rate/No TCI (Turbulence-Chemistry Interaction) model — a more detailed reaction modeling approach that provides deep insight into the pure chemical kinetics of combustion, independent of turbulence effects.

The geometry was designed in SpaceClaim and meshed in ANSYS Meshing using a structured grid totaling 4,800 elements.

Methodology

The Species Transport model was used to represent the combustion process, incorporating a Chemkin mechanism file to capture detailed reaction chemistry — including 35 distinct reactions across 17 chemical species — with the volumetric option enabled to model combustion throughout the chamber.

Turbulence-chemistry interaction was deliberately neglected through the Finite Rate/No TCI model, which focuses purely on detailed kinetic mechanisms rather than accounting for how turbulence influences reaction rates. This isolates the chemical aspects of combustion for focused study, without the added complexity of turbulence-chemistry coupling. The energy equation was enabled to accurately track temperature changes, with turbulence itself modeled using the standard k-epsilon model.

Conclusion

Results include temperature distribution contours, velocity profiles throughout the chamber, mass fractions for the various chemical species, and streamlines revealing the resulting flow patterns. These results offer detailed insight into how chemical reactions progress through the combustion chamber, how temperature evolves as a direct consequence of reaction kinetics, and how individual species form and are consumed throughout the process.

By isolating pure chemical kinetics from turbulence effects, this simulation approach is particularly well suited to developing more efficient combustion systems, optimizing fuel compositions for specific applications, and understanding pollutant formation mechanisms at a fundamentally chemical level.