Prediction of gasoline research octane number using multiple feature machine learning models
X Sun, F Zhang, J Liu, X Duan - Fuel, 2023 - Elsevier
Liquid hydrocarbons are typically used as fuels in the internal combustion engines due to
their high volumetric energy density and ease of handling, storage, and transportation …
their high volumetric energy density and ease of handling, storage, and transportation …
Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis
Designing alternative fuels for advanced compression ignition engines necessitates a
predictive model for cetane number (CN). In this study, the physics-informed graph neural …
predictive model for cetane number (CN). In this study, the physics-informed graph neural …
Recognition of screening out hierarchical toxic contaminants tuned by quantified pseudo-components from complex engineering co-combustion
Y Zhang, J Meng, G Su, Q Li, B Sun, Y Gu… - Journal of Hazardous …, 2024 - Elsevier
Co-combustion of industrial and municipal solid wastes has emerged as the most promising
disposal technology, yet its effect on unknown contaminants generation remains rarely …
disposal technology, yet its effect on unknown contaminants generation remains rarely …
Interpretable reconstruction of naphtha components using property-based extreme gradient boosting and compositional-weighted Shapley additive explanation …
Various methods exist for reconstructing the molecular composition of petroleum feedstocks
from their bulk properties. While data-driven approaches are precise and efficient, they often …
from their bulk properties. While data-driven approaches are precise and efficient, they often …
Predicting octane numbers relying on principal component analysis and artificial neural network
S Tipler, G D'Alessio, Q Van Haute, A Parente… - Computers & Chemical …, 2022 - Elsevier
Abstract Measuring the Research Octane Number (RON) and the Motor Octane Number
(MON) at a low price is currently not feasible, thus making the use of predictive methods …
(MON) at a low price is currently not feasible, thus making the use of predictive methods …
Predicting octane number of petroleum-derived gasoline fuels from mir spectra, gc-ms, and routine test data
A Benavides, C Zapata, P Benjumea, CA Franco… - Processes, 2023 - mdpi.com
Petroleum-derived gasoline is still the most widely used liquid automotive fuel for ground
vehicles equipped with spark-ignition engines. One of the most important properties of …
vehicles equipped with spark-ignition engines. One of the most important properties of …
[HTML][HTML] Numerical prediction of research octane numbers via a quasi-dimensional two-zone cylinder model
S Schlichting, T Methling, P Oßwald… - Applications in Energy …, 2022 - Elsevier
Sustainably produced synthetic fuels offer great potential for a fast reduction of the
greenhouse gas emissions of the transport sector. For an immediate application within the …
greenhouse gas emissions of the transport sector. For an immediate application within the …
Investigation on the influence of initial thermodynamic conditions and fuel compositions on gasoline octane number based on a data-driven approach
Y Ma, Z Yu, Y Wang, D Xie, E Jiaqiang - Fuel, 2021 - Elsevier
The objective of this work is to clarify the influence mechanism of initial thermodynamic
conditions and fuel chemistry on gasoline's octane numbers (ON), including research octane …
conditions and fuel chemistry on gasoline's octane numbers (ON), including research octane …
CFS-DT: a Combined Feature Selection and Decision Tree based Method for Octane Number Prediction
Y Yue, L Jia, H Zhai, M Kong… - 2020 4th Annual …, 2020 - ieeexplore.ieee.org
Octane number (ON) is the most important index of vehicle gasoline specification. Due to the
complexity of refining process, the equipment variety, a large number of features are …
complexity of refining process, the equipment variety, a large number of features are …