Progress in knock combustion modeling of spark ignition engines

F Ji, S Meng, Z Han, G Dong, RD Reitz - Applied Energy, 2025 - Elsevier
Knock combustion is one of the primary factors limiting thermal efficiency improvement in
spark ignition (SI) engines. After a century of research, scholars have made significant …

[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 …

A machine learning-genetic algorithm (ML-GA) approach for rapid optimization using high-performance computing

AA Moiz, P Pal, D Probst, Y Pei, Y Zhang, S Som… - … International journal of …, 2018 - sae.org
A Machine Learning-Genetic Algorithm (MLGA) approach was developed to virtually
discover optimum designs using training data generated from high-fidelity simulations …

Theoretical and experimental evaluation of the spark-ignition premixed oxy-fuel combustion concept for future CO2 captive powerplants

JR Serrano, J Martín, J Gómez-Soriano… - Energy conversion and …, 2021 - Elsevier
Oxy-fuel combustion concept is one of the most promising technologies not only to avoid NO
x emissions, but also to reduce CO, unburned hydrocarbons and soot emissions in …

Combustion system optimization of a light-duty GCI engine using CFD and machine learning

J Badra, J Sim, Y Pei, Y Viollet, P Pal, C Futterer… - 2020 - sae.org
In this study, the combustion system of a light-duty compression ignition engine running on a
market gasoline fuel with Research Octane Number (RON) of 91 was optimized using …

A novel machine learning-based optimization algorithm (ActivO) for accelerating simulation-driven engine design

O Owoyele, P Pal - Applied Energy, 2021 - Elsevier
A novel design optimization approach (ActivO) that employs an ensemble of machine
learning algorithms is presented. The proposed approach is a surrogate-based scheme …

Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design …

O Owoyele, P Pal, A Vidal Torreira… - … Journal of Engine …, 2022 - journals.sagepub.com
In recent years, the use of machine learning-based surrogate models for computational fluid
dynamics (CFD) simulations has emerged as a promising technique for reducing the …

Development of a virtual CFR engine model for knocking combustion analysis

P Pal, C Kolodziej, S Choi, S Som, A Broatch… - … International Journal of …, 2018 - JSTOR
Knock is a major bottleneck to achieving higher thermal efficiency in spark ignition (SI)
engines. The overall tendency to knock is highly dependent on fuel anti-knock quality as …

CFD-guided combustion system optimization of a gasoline range fuel in a heavy-duty compression ignition engine using automatic piston geometry generation and a …

Y Pei, P Pal, Y Zhang, M Traver, D Cleary… - … International Journal of …, 2019 - sae.org
A computational fluid dynamics (CFD) guided combustion system optimization was
conducted for a heavy-duty diesel engine running with a gasoline fuel that has a research …

Numerical analysis of soot emissions from gasoline-ethanol and gasoline-butanol blends under gasoline compression ignition conditions

KC Kalvakala, P Pal, JP Gonzalez, CP Kolodziej… - Fuel, 2022 - Elsevier
In the present work, computational fluid dynamics (CFD) simulations of a single-cylinder
gasoline compression ignition (GCI) engine were performed to investigate the impact of …