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A Thickened Flame (TF) modeling approach is combined with a Large Eddy Simulation (LES) methodology to model premixed combustion and the accuracy of these model predictions is evaluated by comparing with the piloted premixed stoichiometric…

流体动力学 · 物理学 2021-03-01 Ashoke De , Sumanta Acharya

This work extends the front propagation formulation (FPF) combustion model to large eddy simulation (LES) of swirl-stabilized turbulent premixed flames and investigates the effects of resolved flame thickness on the predicted flame…

流体动力学 · 物理学 2026-02-26 Ruochen Guo , Yunde Su , Yuewen Jiang

An unconfined strongly swirled flow is investigated for different Reynolds numbers using particle image velocimetry (PIV) and Large Eddy Simulation (LES) with a Thickened Flame (TF) model. Both reacting and non-reacting flow results are…

流体动力学 · 物理学 2021-03-05 Ashoke De , Shengrong Zhu , Sumanta Acharya

The effect of swirl, premixedness and geometry has been investigated for hydrogen enriched premixed flame using Large Eddy Simulation (LES) with a Thickened Flame (TF) model. Swirl strength has been varied to study the effects of swirl on…

流体动力学 · 物理学 2021-02-11 Ashoke De , Sumanta Acharya

Large-eddy simulations (LES) of a planar turbulent lean hydrogen-air jet flame at Re = 11000 are performed using a tabulated flamelet model based on mixture-averaged diffusion that incorporates detailed transport, including differential and…

An unconfined strongly swirled flow is investigated to study the effect of hydrogen addition on upstream flame propagation in a methane-air premixed flame using Large Eddy Simulation (LES) with a Thickened Flame (TF) model. A…

流体动力学 · 物理学 2021-02-10 Ashoke De , Sumanta Acharya

Large Eddy Simulations with flamelet-based thermochemistry are used to investigate the behaviour of a premixed hydrogen-air flame stabilised by a bluff-body. Validation against experimental data is carried out first to demonstrate the…

流体动力学 · 物理学 2026-03-20 Antonio Masucci , Gioele Ferrante , Tiziano Ghisu , Andrea Giusti , Ivan Langella

A purely data-driven approach using deep convolutional neural networks is discussed in the context of Large Eddy Simulation (LES) of turbulent premixed flames. The assessment of the method is conducted a priori using direct numerical…

流体动力学 · 物理学 2018-10-22 Zacharias M. Nikolaou , Charalambos Chrysostomou , Luc Vervisch , Stewart Cant

The paper aims at assessing a hypothesis that resolution required to evaluate fuel consumption and heat release rates by directly (i.e., without a subgrid model of unresolved influence of small-scale turbulent eddies on the local flame)…

流体动力学 · 物理学 2024-08-15 Andrei N. Lipatnikov

The Multiple Mapping Conditioning / Large Eddy Simulation (MMC-LES) approach is used to simulate a supersonic lifted hydrogen jet flame, which features shock-induced autoignition, shock-flame interaction, lifted flame stabilization, and…

流体动力学 · 物理学 2021-06-09 Zhiwei Huang , Matthew J. Cleary , Zhuyin Ren , Huangwei Zhang

The fractal scaling properties of turbulent premixed flame fronts have been investigated and considered for modelling sub-grid scales in the Large-Eddy-Simulation framework. Since the width of such thin reaction fronts cannot be resolved…

流体动力学 · 物理学 2017-02-17 Francesco Battista , Guido Troiani , Francesco Picano

Direct Numerical Simulations (DNS) of premixed hydrogen-air flames anchored in a fully-developed turbulent channel flow (TCF) are performed at a friction Reynolds number of $\mathrm{Re}_\tau=530$ and thermochemical conditions susceptible to…

流体动力学 · 物理学 2025-12-01 Felix Rong , Max Schneider , Hendrik Nicolai , Christian Hasse , Andrea Gruber

A new premixed turbulent combustion model is proposed. It is based on one-dimensional (1D) filtering of density times progress variable and of the reaction source term of laminar premixed flame profiles using a filter kernel which reflects…

流体动力学 · 物理学 2021-12-21 Michael Pfitzner , Junsu Shin , Markus Klein

Large eddy simulation of propane/air jet flame in the wrinkled flamelets regime of the Borghi diagram is used to assess the performance of a recently developed consumption speed correction model in premixed combustion. The combustion is…

流体动力学 · 物理学 2021-12-03 Ivan Langella , Nguyen Anh Khoa Doan

This study explores the integration of machine learning (ML) techniques with large eddy simulation (LES) for predicting species mass fraction and flame characteristics in partially premixed turbulent jet flames. The LES simulations,…

流体动力学 · 物理学 2025-05-05 Amirali Shateri , Zhiyin Yang , Jianfei Xie

Stratified premixed combustion, known for its capability to expand flammability limits and reduce overall-lean combustion instability, has been widely adopted to comply with increasingly stringent environmental regulations. Numerous…

流体动力学 · 物理学 2023-12-12 Min Zhang , Runze Mao , Han Li , Ruixin Yang , Zhi X. Chen

The LES/PDF methodology is applied to the Cambridge/Sandia turbulent stratified flame series under swirling conditions. The methane/air chemistry is represented by a 16-species reduced ARM1 mechanism, and the in situ adaptive tabulation…

流体动力学 · 物理学 2020-12-04 Hasret Turkeri , Xinyu Zhao , Metin Muradgolu

A joint experimental and numerical investigation of turbulent flame front anchoring at externally heated walls is presented. The phenomenon is examined for lean hydrogen/air mixtures in a novel burner design, which comprises a cylindrical…

流体动力学 · 物理学 2020-03-25 S. Klukas , M. Sieber , M. Giglmaier , S. Schimek , C. O. Paschereit , N. A. Adams

This work presents a numerical study of a diffusion flame in a reacting, two-dimensional, turbulent, viscous, multi-component, compressible mixing layer subject to a large favorable streamwise pressure gradient. The boundary-layer equations…

流体动力学 · 物理学 2026-04-01 Sylvain L. Walsh , Lei Zhan , Carsten Mehring , Feng Liu , William A. Sirignano

The present work reports on LES of turbulent reacting flow of the Delft-Jet-in-Hot-Coflow (DJHC) burner, emulating MILD combustion, with transported PDF based combustion models using ANSYS FLUENT 13.0. Two different eddy viscosity models…

流体动力学 · 物理学 2021-01-25 Rohit Bhaya , Ashoke De , Rakesh Yadav
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