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A new Thickened Stochastic Fields approach improves Large Eddy Simulation for turbulent combustion. This method enables accurate modeling of premixed flames using affordable grid spacing, making complex simulations computationally feasible.

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Area of Science:

  • Computational fluid dynamics
  • Turbulent combustion modeling

Background:

  • Stochastic Fields (SF) approach is effective for transported Probability Density Function (PDF) modeling in Large Eddy Simulation (LES) of turbulent combustion.
  • Premixed turbulent combustion exhibits thin flame structures in SF equations, necessitating finer grid spacing than the LES filter scale, leading to high computational costs or numerical errors.

Purpose of the Study:

  • To develop a Thickened Stochastic Fields (TSF) approach for physically accurate and numerically converged SF solutions in LES.
  • To reduce computational time for simulating turbulent combustion systems.

Main Methods:

  • Developed the TSF formulation, which adapts to numerical grid spacing, bridging conventional SF and Thickened-Flame approaches.
  • Conducted 1D SF simulations of turbulent premixed flames to establish criteria for the thickening factor and an efficiency function.
  • Validated the TSF approach using LES of a laboratory premixed Bunsen flame.

Main Results:

  • The TSF method provides accurate predictions even with grid spacing equal to the LES filter scale.
  • Established criteria for the required thickening factor based on physical and numerical parameters.
  • Developed a model for the efficiency function to account for flame surface area loss due to the thickening transformation.

Conclusions:

  • The TSF approach significantly reduces computational requirements for accurate LES of turbulent combustion.
  • This development enables the practical application of the SF approach to industrially relevant combustion systems.