Dynamics of cool flames

Y Ju, CB Reuter, OR Yehia, TI Farouk… - Progress in Energy and …, 2019 - Elsevier
Cool flames play a critical role in ignition timing, burning rate, burning limits, engine
knocking, and emissions in conventional and advanced combustion engines. This paper …

Modelling of fuel droplet heating and evaporation: Recent results and unsolved problems

SS Sazhin - Fuel, 2017 - Elsevier
The most recent developments in the modelling of heating and evaporation of fuel droplets,
the results of which were published in 2014–2017, are reviewed, and the most important …

Understanding cool flames and warm flames

Y Ju - Proceedings of the Combustion Institute, 2021 - Elsevier
Low-temperature flames such as cool flames, warm flames, double flames, and auto-ignition
assisted flames play a critical role in the performance of advanced engines and fuel design …

Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types

R Li, JM Herreros, A Tsolakis, W Yang - Fuel, 2021 - Elsevier
A machine learning-quantitative structure property relationship (ML-QSPR) method is
proposed to predict 15 fuel physicochemical properties of 23 fuel types. QSPR-UOB 3.0 …

A realistic skeletal mechanism for the oxidation of biodiesel surrogate composed of long carbon chain and polyunsaturated compounds

G Wu, X Wang, S Abubakar, Y Li, Z Liu - Fuel, 2021 - Elsevier
To obtain a realistic reduced reaction model for the combustion of biodiesel in compression
ignition engine, the heavy methyl esters with long carbon chain and polyunsaturated degree …

A minimalist functional group (MFG) approach for surrogate fuel formulation

AGA Jameel, N Naser, G Issayev, J Touitou… - Combustion and …, 2018 - Elsevier
Surrogate fuel formulation has drawn significant interest due to its relevance towards
understanding combustion properties of complex fuel mixtures. In this work, we present a …

[HTML][HTML] Predicting soot formation in fossil fuels: a comparative study of regression and machine learning models

R Lawal, W Farooq, A Abdulraheem… - Digital Chemical …, 2024 - Elsevier
The incomplete combustion of fossil fuels results in the emission of soot, a carbonaceous,
solid fine powder that causes harm to human health and the environment. This study …

[HTML][HTML] Evolution of functional group of lignocellulosic biomass and its delignified form during thermal conversion using synchrotron-based THz and laboratory-based …

C Kundu, S Biswas, BS Thomas, D Appadoo, A Duan… - Fuel, 2023 - Elsevier
In the industry, platform chemicals are traditionally synthesized from non-renewable
resources. In order to determine the ideal temperature range and associated emissions for …

[HTML][HTML] Spray, atomization and combustion characteristics of oxygenated fuels in a constant volume bomb: A review

P Zhang, X Su, C Yi, H Chen, H Xu, L Geng - Journal of Traffic and …, 2020 - Elsevier
Biofuels have extensive available resources and have an immense potential as promising
alternative fuels for automobile. The application advantages of biofuels are mainly reflected …

A machine learning model for predicting threshold sooting index (TSI) of fuels containing alcohols and ethers

MAA Qasem, VCO van Oudenhoven, AA Pasha… - Fuel, 2022 - Elsevier
In this work, a machine learning based model using artificial neural networks (ANN) was
developed for the prediction of threshold sooting index (TSI) of fuels containing oxygenated …