Recent developments in DNS of turbulent combustion

P Domingo, L Vervisch - Proceedings of the Combustion Institute, 2023 - Elsevier
The simulation of turbulent flames fully resolving the smallest flow scales and the thinnest
reaction zones goes along with specific requirements, which are discussed from …

Advances and challenges of the conditional source-term estimation model for turbulent reacting flows

MM Salehi, C Devaud, WK Bushe - Progress in Energy and Combustion …, 2024 - Elsevier
Abstract Conditional Source-term Estimation (CSE) is a turbulence–chemistry interaction
model to simulate reacting flows. This model is similar to the Conditional Moment Closure …

2-D and 3-D measurements of flame stretch and turbulence–flame interactions in turbulent premixed flames using DNS

H Wang, ER Hawkes, J Ren, G Chen… - Journal of Fluid …, 2021 - cambridge.org
Three-dimensional (3-D) measurements of flame stretch are experimentally challenging. In
this paper, two-dimensional (2-D) and 3-D measurements of flame stretch and turbulence …

[HTML][HTML] A priori direct numerical simulation assessment of MILD combustion modelling in the context of large eddy simulation

HSAM Awad, K Abo-Amsha, N Chakraborty - Fuel, 2024 - Elsevier
Abstract A priori Direct Numerical Simulation (DNS) assessment of the closures for the
filtered reaction rate and the Favre-filtered scalar dissipation rate (SDR) for large eddy …

Comparison of flame propagation statistics extracted from direct numerical simulation based on simple and detailed chemistry—Part 1: Fundamental flame turbulence …

FB Keil, M Amzehnhoff, U Ahmed, N Chakraborty… - Energies, 2021 - mdpi.com
In the present study, flame propagation statistics from turbulent statistically planar premixed
flames obtained from simple and detailed chemistry, three-dimensional Direct Numerical …

Generalization capability of convolutional neural networks for progress variable variance and reaction rate subgrid-scale modeling

V Xing, C Lapeyre, T Jaravel, T Poinsot - Energies, 2021 - mdpi.com
Deep learning has recently emerged as a successful approach to produce accurate subgrid-
scale (SGS) models for Large Eddy Simulations (LES) in combustion. However, the ability of …

Evolution of averaged local premixed flame thickness in a turbulent flow

R Yu, T Nillson, XS Bai, AN Lipatnikov - Combustion and Flame, 2019 - Elsevier
In the combustion literature, contradictory results on the influence of turbulence on the local
thickness of a premixed flame can be found and the present paper aims at contributing to …

Sub-grid reaction progress variable variance closure in turbulent premixed flames

FB Keil, M Klein, N Chakraborty - Flow, Turbulence and Combustion, 2021 - Springer
The statistical behaviour and modelling of the sub-grid variance of reaction progress
variable have been analysed based on a priori analysis of Direct Numerical Simulation …

Numerical investigation of a coupled blow-off/flashback process in a high-pressure lean-burn combustor

A Soli, I Langella - Journal of Engineering for Gas …, 2023 - asmedigitalcollection.asme.org
Large eddy simulation is used to investigate the flashback mechanism caused by the
combustion-induced vortex breakdown (CIVB) in a high-pressure lean-burn annular …

Localized conditional source-term estimation model for turbulent combustion

AH Mahdipour, MM Salehi - Combustion and Flame, 2022 - Elsevier
A novel functional form for approximating the conditional scalars in turbulent reacting flows
is introduced based on the Bernstein polynomial. Multi-scalar measurement data of turbulent …