Combustion machine learning: Principles, progress and prospects

M Ihme, WT Chung, AA Mishra - Progress in Energy and Combustion …, 2022 - Elsevier
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 …

[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 …

Application of deep artificial neural networks to multi-dimensional flamelet libraries and spray flames

O Owoyele, P Kundu, MM Ameen… - … Journal of Engine …, 2020 - journals.sagepub.com
The “curse of dimensionality” has limited the applicability and expansion of tabulated
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

B Tekgül, H Kahila, O Kaario, V Vuorinen - Combustion and Flame, 2020 - Elsevier
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 …

Importance of turbulence-chemistry interactions at low temperature engine conditions

P Kundu, MM Ameen, S Som - Combustion and Flame, 2017 - Elsevier
The role of turbulence-chemistry interaction in autoignition and flame stabilization is
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

C Xu, MM Ameen, S Som, JH Chen, Z Ren, T Lu - Combustion and Flame, 2018 - Elsevier
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 …

Flame–spray interaction and combustion features in split-injection spray flames under diesel engine-like conditions

W Zhao, H Wei, M Jia, Z Lu, KH Luo, R Chen… - Combustion and …, 2019 - Elsevier
In compression ignition engines, split-injection strategy has shown great benefits in reducing
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

Y Zhang, H Wang, A Both, L Ma… - Combustion Theory and …, 2019 - Taylor & Francis
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 …

[HTML][HTML] Large Eddy Simulation of cavitation effects on reacting spray flames using FGM and a new dispersion model with multiple realizations

H Bao, N Maes, HY Akargun, B Somers - Combustion and Flame, 2022 - Elsevier
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 …

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 …