[HTML][HTML] Fueling the future: Exploring the synergy of artificial intelligence-based algorithms and the use of biofuels in engine development

S Patnaik, N Khatri, ER Rene - Journal of the Taiwan Institute of Chemical …, 2024 - Elsevier
Background The development of internal combustion (IC) engines has seen significant
advancements, but understanding and modelling their complex dynamics pose challenges …

[HTML][HTML] A fundamental study of injection and combustion characteristics of neat Hydrotreated Vegetable Oil (HVO) as a fuel for light-duty diesel engines

F Millo, MJ Jafari, A Piano, L Postrioti, G Brizi… - Fuel, 2025 - Elsevier
Renewable fuels are essential for decarbonization because they can significantly reduce
greenhouse gas emissions compared to fossil fuels. Among the renewable fuels capable to …

Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with …

SA Okeleye, A Thiruvengadam, MG Perhinschi… - Energy, 2024 - Elsevier
Abstract The Selective Catalytic Reduction on Filter (SCRF) system is yet to be deployed in
current heavy-duty diesel engine aftertreatment system. Due to the thermal, space and cost …

Investigation on nanostructure, surface functional groups, and oxidation activity of particulate along the exhaust after-treatment of a diesel engine fueled with waste …

Z Hu, X Gao, J Fu, Z Wang, J Luo, P Tan… - … Science and Pollution …, 2024 - Springer
In this study, the nanostructure, surface functional groups, and oxidation activity of soot
particulate along the exhaust after-treatment system of a heavy-duty diesel engine fueled …

An indirect approach to optimize the reaction rates of thermal NO formation for diesel engines

C Paul, J Gao, K Jin, D Patel, K Roggendorf, N Fogla… - Fuel, 2023 - Elsevier
With stringent emission regulations, it has become more important for modern diesel engine
manufacturers to accurately predict engine-out nitrogen oxide (NO x) emissions across a …

[HTML][HTML] Harnessing NOx Emission Management: A Virtual Sensor Model for Natural Gas Power Generation Engines with Active Pre-chamber

J Del-Valle-Echavarri, JM Lopez-Guede, J Estevez - Internet of Things, 2024 - Elsevier
This paper presents a NOx Sensor machine learning model for a highly efficient 2MW power
generation lean burn gas engine with an active pre-chamber. As gas power generation …

[HTML][HTML] Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach

T Savioli, M Pampanini, G Visani, L Esposito… - Fluids, 2024 - mdpi.com
Nowadays, engine experimental research represents a very expensive field within the
automotive industry, but it remains fundamental for engine and vehicle development. The …

Caractérisation expérimentale et modélisation 1D des transferts thermiques de la boucle d'air d'un moteur à allumage commandé suralimenté: de l'échelle du …

F Prévost - 2023 - theses.hal.science
Les chaînes de traction automobile sont de plus en plus complexes afin de répondre aux
exigences de réduction des émissions polluantes tout en garantissant un bon niveau de …

A Numerical Model for the Virtual Calibration of a Highly Efficient Spark Ignition Engine

L Rolando, F Millo, G Castellano, T Tahtouh, M Andre… - 2023 - sae.org
Nowadays numerical simulations play a major role in the development of future sustainable
powertrain thanks to their capability of investigating a wide spectrum of innovative …

Artificial Neural Network for Airborne Noise Prediction of a Diesel Engine

G Credo, V Taddeo, F Aglietti - 2024 - sae.org
Throughout its history, the engine acoustic character has been emblematic of the product
essence, owing to its robust correlation of factors like in-cylinder pressure gradients …