Review on spray, combustion, and emission characteristics of recent developed direct-injection spark ignition (DISI) engine system with multi-hole type injector

Z Lee, T Kim, S Park, S Park - Fuel, 2020 - Elsevier
Given diminishing fossil fuel resources and severe environmental pollution, governments
are strengthening their regulations regarding the exhaust emissions and fuel consumption of …

[HTML][HTML] Machine learning for combustion

L Zhou, Y Song, W Ji, H Wei - Energy and AI, 2022 - Elsevier
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

Applications of machine learning to the analysis of engine in-cylinder flow and thermal process: A review and outlook

F Zhao, DLS Hung - Applied Thermal Engineering, 2023 - Elsevier
To adequately elucidate the complex in-cylinder flow structures and its underlying effects on
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …

Comparison of random forest and neural network in modeling the performance and emissions of a natural gas spark ignition engine

J Liu, Q Huang, C Ulishney… - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
Abstract Machine learning (ML) models can accelerate the development of efficient internal
combustion engines. This study assessed the feasibility of data-driven methods toward …

Analysis of the combustion process in a lean-burning turbulent jet ignition engine fueled with methane

E Distaso, R Amirante, E Cassone, P De Palma… - Energy Conversion and …, 2020 - Elsevier
Recent needs of reducing pollutant emissions of internal combustion engines have pushed
the development of non-conventional ignition systems. One of the most promising …

An artificial neural network model to predict efficiency and emissions of a gasoline engine

R Yang, Y Yan, X Sun, Q Wang, Y Zhang, J Fu, Z Liu - Processes, 2022 - mdpi.com
With global warming, and internal combustion engine emissions as the main global non-
industrial emissions, how to further optimize the power performance and emissions of …

On the application of artificial neural networks for the prediction of NOx emissions from a high-speed direct injection diesel engine

XH Fang, N Papaioannou, F Leach… - International Journal of …, 2021 - journals.sagepub.com
This article considers the application and refinement of artificial neural network methods for
the prediction of NO x emissions from a high-speed direct injection diesel engine over a …

Predicting lubricant oil induced pre-ignition phenomena in modern gasoline engines: The reduced GasLube reaction mechanism

E Distaso, R Amirante, G Calò, P De Palma… - Fuel, 2020 - Elsevier
Recent research highlights the influence of the presence of lubricant oil droplets on the
combustion process in Direct Injection Spark Ignition (DISI) engines. Lubricant oil is …

Evolution of soot particle number, mass and size distribution along the exhaust line of a heavy-duty engine fueled with compressed natural gas

E Distaso, R Amirante, G Calò, P De Palma… - Energies, 2020 - mdpi.com
An experimental study has been conducted to provide a characterization of the
transformations that particle size distributions and the number density of soot particles can …

[HTML][HTML] Linking lubricant oil contamination to pre-ignition events in hydrogen engines–The HyLube mechanism

E Distaso, G Calò, R Amirante, P De Palma, M Mehl… - Fuel, 2025 - Elsevier
The practical use of hydrogen as a fuel for Internal Combustion Engines (ICEs) poses
unresolved challenges. However, many issues concerning combustion control and …