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 …

Replicating HCCI-like autoignition behavior: What gasoline surrogate fidelity is needed?

S Cheng, SS Goldsborough, SW Wagnon… - Applications in Energy …, 2022 - Elsevier
This work seeks to characterize the fidelity needed in a gasoline surrogate with the intent to
replicate the complex autoignition behavior exhibited within advanced combustion engines …

Large-eddy simulation study on cycle-to-cycle variation of knocking combustion in a spark-ignition engine

C Chen, P Pal, M Ameen, D Feng, H Wei - Applied Energy, 2020 - Elsevier
The cycle-to-cycle variation in the knock intensity is commonly encountered under abnormal
combustion conditions. The severity of these abnormal combustion events can vary …

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 …

The effects of distillation characteristics and aromatic content on low-load gasoline compression ignition (GCI) performance and soot emissions in a multi-cylinder …

FDF Chuahy, M Moses-DeBusk, SJ Curran, JME Storey… - Fuel, 2021 - Elsevier
Abstract The DOE Co-Optima initiative focuses on investigating the ability of fuel properties
to work in tandem with advanced combustion engines to increase fuel economy. One of the …

Numerical Study of PAHs and Soot Emissions from Gasoline–Methanol, Gasoline–Ethanol, and Gasoline–n-Butanol Blend Surrogates

KC Kalvakala, P Pal, G Kukkadapu, M McNenly… - Energy & …, 2022 - ACS Publications
Soot formation is an intricate phenomenon, and soot propensity of a fuel is interwoven with
the fuel composition, physical and chemical properties, and combustion environment. The …

Numerical analysis of fuel effects on advanced compression ignition using a cooperative fuel research engine computational fluid dynamics model

K Kalvakala, P Pal, Y Wu… - Journal of …, 2021 - asmedigitalcollection.asme.org
Growing environmental concerns and demand for a better fuel economy are driving forces
that motivate the research for more advanced engines. Multi-mode combustion strategies …

Artificial neural network models for octane number and octane sensitivity: a quantitative structure property relationship approach to fuel design

A SubLaban, TJ Kessler… - Journal of energy …, 2023 - asmedigitalcollection.asme.org
Octane sensitivity (OS), defined as the research octane number (RON) minus the motor
octane number (MON) of a fuel, has gained interest among researchers due to its effect on …

[HTML][HTML] Impact of wall heat transfer modelling in large-eddy simulation of hydrogen knocking combustion

X Dou, MR Yosri, M Talei, Y Yang - International Journal of Hydrogen …, 2024 - Elsevier
This study assesses the performance of four wall heat transfer models in large-eddy
simulations to simulate hydrogen knock in a cooperative research fuel engine. These …

X-ray characterization of real fuel sprays for gasoline direct injection

BA Sforzo, A Tekawade… - Journal of …, 2022 - asmedigitalcollection.asme.org
The effects of fuel blend properties on spray and injector performance has been investigated
in a side-mount injector for gasoline direct injection (GDI) using two certification fuel blends …