Combustion machine learning: Principles, progress and prospects
Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
[HTML][HTML] Enabling powertrain technologies for Euro 7/VII vehicles with computational fluid dynamics
S Wijeyakulasuriya, J Kim, D Probst… - Transportation …, 2022 - Elsevier
Government regulations on vehicle tailpipe emissions have steadily become more stringent
in the last few decades, mainly to reduce gaseous and particulate pollutants from internal …
in the last few decades, mainly to reduce gaseous and particulate pollutants from internal …
Application of deep artificial neural networks to multi-dimensional flamelet libraries and spray flames
The “curse of dimensionality” has limited the applicability and expansion of tabulated
combustion models. While the tabulated flamelet model and other multi-dimensional …
combustion models. While the tabulated flamelet model and other multi-dimensional …
[HTML][HTML] Large-eddy simulation of dual-fuel spray ignition at different ambient temperatures
Here, a finite-rate chemistry large-eddy simulation (LES) solver is utilized to investigate dual-
fuel (DF) ignition process of n-dodecane spray injection into a methane–air mixture at …
fuel (DF) ignition process of n-dodecane spray injection into a methane–air mixture at …
Importance of turbulence-chemistry interactions at low temperature engine conditions
The role of turbulence-chemistry interaction in autoignition and flame stabilization is
investigated for spray flames at low temperature combustion (LTC) conditions by performing …
investigated for spray flames at low temperature combustion (LTC) conditions by performing …
Dynamic adaptive combustion modeling of spray flames based on chemical explosive mode analysis
A dynamic adaptive combustion modeling framework based on chemical explosive mode
analysis (CEMA) is proposed to account for different flame features such as local auto …
analysis (CEMA) is proposed to account for different flame features such as local auto …
Flame–spray interaction and combustion features in split-injection spray flames under diesel engine-like conditions
In compression ignition engines, split-injection strategy has shown great benefits in reducing
pollutant emissions and improving combustion efficiency. Spray–flame interaction involving …
pollutant emissions and improving combustion efficiency. Spray–flame interaction involving …
Effects of turbulence-chemistry interactions on auto-ignition and flame structure for n-dodecane spray combustion
The Engine Combustion Network (ECN) spray A under diesel engine conditions is
investigated with a non-adiabatic 5D Flamelet Generated Manifolds (FGM) model with the …
investigated with a non-adiabatic 5D Flamelet Generated Manifolds (FGM) model with the …
[HTML][HTML] Large Eddy Simulation of cavitation effects on reacting spray flames using FGM and a new dispersion model with multiple realizations
In the present study Large Eddy Simulations (LES) are performed to investigate the ignition
behavior of cavitating and non-cavitating n-dodecane flames. Inspired by the work of Tsang …
behavior of cavitating and non-cavitating n-dodecane flames. Inspired by the work of Tsang …
Accelerating chemical kinetics calculations with physics informed neural networks
A Almeldein, N Van Dam - … of Engineering for …, 2023 - asmedigitalcollection.asme.org
Detailed chemical kinetics calculations can be very computationally expensive, and so
various approaches have been used to speed up combustion calculations. Deep neural …
various approaches have been used to speed up combustion calculations. Deep neural …