RT Journal Article
T1 Impact of alcohol–diesel fuel blends on soot primary particle size in a compression ignition engine
A1 Martos-Ramos, Francisco Javier
A1 Doustar, O.
A1 Zeraati-Rezaei, S
A1 Herreros, J.M
A1 Tsolakis, A.
K1 Carburantes
K1 Motores de combustión interna -- Combustión
K1 Ingeniería térmica
AB The use of alternative fuels, such as bio-alcohols, in advanced propulsion systems could a feasible strategy to address several of the current issues associated to the use of internal combustion engines fuelled by carbonaceous fossil fuels. Particularly, soot particles, are one of the key pollutants emitted from compression ignition engines. Therefore, the development of soot formation prediction models providing new understanding on the impact of alternative fuels combustion in compression ignition engines become essential for soot mitigation purposes.This study proposes a new semi-empirical model that predicts in-cylinder soot primary particle growth from an engine fuelled with alcohol–diesel fuel blends. The model uses macroscopic experimental measurements of engine parameters such as instantaneous in-cylinder pressure. Furthermore, an empirical correlation is presented predicting the mean soot primary particle size as a function of alcohol–diesel fuel blend properties and fuel/air ratio. The experimental measurement of primary soot particle mean size are obtained from High Resolution Transmission Electron Microscope (HT-TEM) micrographs obtained from soot particles collected via thermophoresis. Overall, the research findings presented in this work contributes to propose environmentally friendly fuel candidates for transportation.
PB Elsevier
YR 2022
FD 2022-11-01
LK https://hdl.handle.net/10630/26328
UL https://hdl.handle.net/10630/26328
LA eng
NO Martos, F. J., Doustdar, O., Zeraati-Rezaei, S., Herreros, J. M., & Tsolakis, A. (2023). Impact of alcohol–diesel fuel blends on soot primary particle size in a compression ignition engine. Fuel, 333, 126346.
NO F.J. Martos expresses thanks (1) the government of Spain for supporting his research stay with reference PRX19/00187 at University of Birmingham and (2) the University of Malaga for supporting through the supercomputing and Bioinnovation Center and in particular to the supercomputer Picasso belonging to the Spanish Supercomputing Network. ESPRC is acknowledged for supporting this work with the project FACE (ESPRC: ref. EP/P03117X/1). // Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026