Experimental and numerical study of water sprayed turbulent combustion: Proposal of a neural network modeling for five-dimensional flamelet approach

Honzawa, Takafumi; Kai, Reo; Hori, Kotaro; Seino, Makoto; Nishiie, Takayuki; Kurose, Ryoichi

doi:10.1016/j.egyai.2021.100076

Cited by 13 publications

(2 citation statements)

References 28 publications

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“…The 1D freely propagating premixed flames can be used not only for laminar flame speed calculations but also to construct the flamelet tables when using the flamelet generated manifold method. − The spatial profiles of the 1D freely propagating premixed flames are also of interest to further explore the potential of this reduced mechanism in turbulent combustion simulations. Therefore, the spatial profiles calculated by using the reduced and LLNL-AtJ-SPK mechanisms under various conditions are further compared.…”

Section: Validation Of the Reduced Mechanismsmentioning

confidence: 99%

Reduced Reaction Mechanisms for Sustainable Aviation Fuel (SAF): Isoparaffinic Alcohol-to-Jet Synthetic Paraffinic Kerosene (AtJ-SPK) and Its Blends with Jet A

Xing

Zhang

et al. 2023

Energy Fuels

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Alcohol-to-Jet Synthetic Paraffinic Kerosene (AtJ-SPK), an approved sustainable aviation fuel (SAF) by blending with conventional Jet A fuel, has recently been experimentally studied, and detailed mechanisms have been developed to describe its combustion behavior. The present study aims to develop reduced mechanisms of AtJ-SPK and its blends with Jet A for high-fidelity and computationally affordable computational fluid dynamics. Specifically, two reduced mechanisms were developed for pure AtJ-SPK and its blends with Jet A from LLNL-AtJ-SPK [Richter et al. Combust. Flame 2022, 240, 111994] and POLIMI detailed mechanisms [Ranzi et al. Prog. Energy Combust. Sci. 2012, 38 (4), 468–501], respectively, using a combined reduction method. The reduced mechanisms can achieve 80%/92.4% and 92%/90% reductions of the species/reaction numbers, respectively, compared with those of the master detailed mechanisms. The developed reduced mechanisms were further validated under various conditions by comparing the predicted ignition delay times, laminar flame speeds, and temporal/spatial profiles with those predicted using the master detailed mechanisms as well as experimental data. Finally, the computational cost comparison in the two-dimensional direct numerical simulation demonstrated that the developed reduced mechanisms can impressively accelerate the calculation speed by more than 5000 and 529 times, respectively.

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Section: Validation Of the Reduced Mechanismsmentioning

confidence: 99%

Reduced Reaction Mechanisms for Sustainable Aviation Fuel (SAF): Isoparaffinic Alcohol-to-Jet Synthetic Paraffinic Kerosene (AtJ-SPK) and Its Blends with Jet A

Xing

Zhang

et al. 2023

Energy Fuels

Self Cite

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“…However, since the FGM model needs high table resolution, it can become non-efficient in terms of space and memory usage. Particularly when the model is applied in three-dimensional simulations of turbulent reactive flows using parallel processing techniques and when the number of control variables is increased as it was shown, for instance, in [22] or in the CFD simulation using a parallel processing method in [23]. To tackle this issue, one can optimize the table itself.…”

Section: Introductionmentioning

confidence: 99%

Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame

Rahnama

Novella

et al. 2023

Energy and AI

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Machine learning methods for modeling the kinetics of combustion in problems of space safety

Malsagov,

Mikhalchenko,

Karandashev

et al. 2024

Acta Astronautica

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Experimental and numerical study of water sprayed turbulent combustion: Proposal of a neural network modeling for five-dimensional flamelet approach

Cited by 13 publications

References 28 publications

Reduced Reaction Mechanisms for Sustainable Aviation Fuel (SAF): Isoparaffinic Alcohol-to-Jet Synthetic Paraffinic Kerosene (AtJ-SPK) and Its Blends with Jet A

Reduced Reaction Mechanisms for Sustainable Aviation Fuel (SAF): Isoparaffinic Alcohol-to-Jet Synthetic Paraffinic Kerosene (AtJ-SPK) and Its Blends with Jet A

Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame

Machine learning methods for modeling the kinetics of combustion in problems of space safety

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