DeepFlame: A deep learning empowered open-source platform for reacting flow simulations

R Mao, M Lin, Y Zhang, T Zhang, ZQJ Xu… - Computer Physics …, 2023 - Elsevier
Recent developments in deep learning have brought many inspirations for the scientific
computing community and it is perceived as a promising method in accelerating the …

Large eddy simulation of plasma assisted ignition: Effects of pulse repetition frequency, number of pulses, and pulse energy

TS Taneja, T Ombrello, J Lefkowitz, S Yang - Combustion and Flame, 2024 - Elsevier
The impacts of the pulse repetition frequency (PRF), number of pulses, and energy per pulse
in a train of nanosecond discharge pulses on the ignition of a flowing lean premixed …

detonationFoam: An open-source solver for simulation of gaseous detonation based on OpenFOAM

J Sun, Y Wang, B Tian, Z Chen - Computer Physics Communications, 2023 - Elsevier
Detonation has promising applications in advanced propulsion systems, and numerical
simulation is widely used to gain insights into the complex interaction between the …

Premixed Propane–Air Flame Propagation in a Narrow Channel with Obstacles

S Yakush, O Semenov, M Alexeev - Energies, 2023 - mdpi.com
Flame interaction with obstacles can affect significantly its behavior due to flame front
wrinkling, changes in the flame front surface area, and momentum and heat losses …

Regression and Flame Structure in Cavity Flameholding Solid-Fuel Ramjet Fuel Grains

D Gallegos, H Pace, C Arnold, L Massa… - Journal of Propulsion and …, 2023 - arc.aiaa.org
Introducing cavity flameholders into a solid-fuel ramjet fuel grain demonstrated increased
fuel loading with sustained combustion in previously unfavorable geometries. Volumetric …

Effect of oxymethylene ether-2-3-4 (OME2-4) on soot particle formation and chemical features

R Schmitz, C Russo, F Ferraro, B Apicella, C Hasse… - Fuel, 2022 - Elsevier
The reduction of carbon emissions is leading to alternative and renewable energy sources.
Solar or wind sources can only be regulated to a limited extent and fluctuate considerably …

[HTML][HTML] Machine learning techniques to predict the flame state, temperature and species concentrations in counter-flow diffusion flames operated with CH4/CO/H2-air …

R Prieler, M Moser, S Eckart, H Krause, C Hochenauer - Fuel, 2022 - Elsevier
The usage of artificial intelligence (AI) is increasing in many fields of research, since
complex physical problems can be 'learned'and reproduced by AI methods. Thus, instead of …

Evolution and control of oblique detonation wave structure in unsteady inflow

J Sun, P Yang, B Tian, Z Chen - AIAA Journal, 2023 - arc.aiaa.org
Oblique detonation engines have promising applications in hypersonic propulsion due to
their compact combustor and high thermal efficiency. However, it is still challenging to …

[HTML][HTML] Large eddy simulation of a supersonic lifted hydrogen flame: Impacts of Lewis, turbulent Schmidt and Prandtl numbers

R Zhu, Z Huang, C Xu, X Fang, H Zhang, M Davy - Physics of Fluids, 2024 - pubs.aip.org
Parametric large eddy simulations (LES) of a supersonic lifted hydrogen flame are reported.
The emphases are on two aspects: impacts of (1) Lewis number (Le i of the ith species) and …

Numerical study of transverse hydrogen injection in high-speed reacting crossflow

I Rasheed, DP Mishra - Physics of Fluids, 2023 - pubs.aip.org
A high-speed compressible solver capable of solving detailed chemical reaction
mechanisms is developed by coupling the open-source computational fluid dynamic toolbox …