Combustion condition predictions for C2-C4 alkane and alkene fuels via machine learning methods
The accurate and rapid prediction of hydrocarbon type was a precondition for the utilization
of fossil fuels with high efficiency and safety. In this study, machine learning based …
of fossil fuels with high efficiency and safety. In this study, machine learning based …
Review of gliding arc plasma assisted ignition and combustion for gas turbine application
K Gong, Y Liu, H Zhao, Z Wang - International Journal of Turbo & Jet …, 2024 - degruyter.com
The potential of gliding arc plasma-assisted ignition and combustion technology to enhance
ignition and combustion performance is attracting increasing attention from the scientific …
ignition and combustion performance is attracting increasing attention from the scientific …
[HTML][HTML] Multiscale Modeling of Plasma-Assisted Non-Premixed Microcombustion
This work explores microcombustion technologies enhanced by plasma-assisted
combustion, focusing on a novel simulation model for a Y-shaped device with a non …
combustion, focusing on a novel simulation model for a Y-shaped device with a non …
Real-fluid Transport Property Computations Based on the Boltzmann-weighted Full-dimensional Potential Model
X Zhang, J Bai, B Liu, T Zhu, H Zhao - arXiv preprint arXiv:2404.18700, 2024 - arxiv.org
The intermolecular potential plays crucial roles in real-fluid interactions away from the ideal-
gas equilibrium, such as supercritical fluid, high-enthalpy fluid, plasma interactions, etc. We …
gas equilibrium, such as supercritical fluid, high-enthalpy fluid, plasma interactions, etc. We …
A Deep Learning Based Model for Identifying Recirculation Zones From Experimental Images of Trapped Vortex Combustors
Particle image velocimetry (PIV) is a standard method for studying primary recirculation
zones in trapped vortex combustors (TVCs), which can operate in an RQL configuration …
zones in trapped vortex combustors (TVCs), which can operate in an RQL configuration …