Abstract

A dimensional-decomposition approach, decomposing 3D into 3×1D for turbulent (reacting) flows are motivated, discussed and investigated. In the three-dimensional Linear Eddy Model (LEM3D), three orthogonally intersecting arrays of 1D domains are coupled to capture the 3D characteristics of fluid flows. The currently used recouplings for LEM3D are enlightened and thoroughly discussed. A study of the flame front of a freely propagating laminar premixed flame shows that the flame stabilizes at the upstream face of the initial solution when both the advective and auxiliary recouplings are activated. Furthermore, results from LEM3D simulations of a vitiated co-flow burner are re-visited providing a more detailed discussion of the noted early mixing and reaction of the hydrogen fuel of the burner. The main conclusion of the present work is that the auxiliary coupling based on rotations of the 3D control volumes introduces very large gradients in the near-field geometry of jets, leading to a significant amount of artificial diffusion and locally increased burning rates. This implies that applications of LEM3D should be restricted to sub-regions where high-resolution treatment of scalar mixing and reaction is of particular interest.

Highlights

  • The key limitation in simulations of turbulent reacting flows is the computational cost

  • Since the initial conditions, chemical mechanism, and transport equations are identical, the simulation demonstrates that the diffusion and chemical kinetics implementation of LEM3D is in agreement with that of the LOGEresearch tool

  • We investigate the effect of switching off the auxiliary coupling of rotations to consider the LEM3D advective coupling by flipping of wafers only

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Summary

Introduction

The key limitation in simulations of turbulent reacting flows is the computational cost. Turbulence and Combustion (2021) 106:163–183 dimensional-decomposition approach presented by Kerstein (2009), where it was proposed to decompose a three-dimensional flow into one-dimensional domains and recouple these to describe the physical processes. The motivation behind this is to obtain a fully resolved spatial and temporal resolution at reduced cost. A line segment was defined to correspond to an edge of a linear stack of cubic control volumes This approach, was later modified for numerical implementation since it is preferable to interpret the one-dimensional evolution as occupying a volume of space, enabling a finite-volume numerical representation rather than the more conceptual understanding of a line segment

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