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Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells

Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells

Published on: October 2, 2016

A cellular automata model for expanding turbulent flames.

Vishnu R Unni¹, Chung K Law², Abhishek Saha¹

¹Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, California 92093, USA.

Chaos (Woodbury, N.Y.)

|December 2, 2020

Summary

This study introduces a cellular automaton model to simulate turbulent flames, revealing how turbulence affects flame dynamics and burning rates. The model accurately captures flame fragmentation and quenching at high turbulence levels.

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Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

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Area of Science:

Combustion Science
Computational Physics
Fluid Dynamics

Background:

Cellular automata models are established tools for simulating pattern development and front propagation.
Turbulent flames comprise interacting flamelets, with turbulence influencing their dynamics.

Purpose of the Study:

To develop a low-order cellular automaton model for turbulent flame dynamics.
To investigate the impact of turbulence on flame propagation and burning rates.

Main Methods:

Utilized a cellular automaton based on flamelet population dynamics.
Simulated turbulence by introducing stochasticity into local flamelet interactions.
Analyzed multifractal characteristics and burning rates of the expanding flame.

Main Results:

The model successfully preserved multifractal characteristics of turbulent flames.
Observed that increased burning rate enhances turbulence at low levels.
Demonstrated flame fragmentation and decreased burning rate beyond a critical turbulence level.
Showcased flame quenching at extremely high turbulence levels.

Conclusions:

Cellular automata provide a viable low-order model for turbulent flame dynamics.
Turbulence significantly alters flame behavior, leading to fragmentation or quenching.
The model accurately reflects experimental observations of turbulent flame propagation.