Advanced techniques for quantification and modelling of phase-change processes of renewable fuels and their blends

Project Information

AHEAD

Grant agreement ID: 794831

DOI

10.3030/794831

Project closed

EC signature date 23 March 2018

Start date 21 January 2019

End date 20 January 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 251 857,80

EU contribution

€ 251 857,80

Coordinated by

CITY ST GEORGES UNIVERSITY OF LONDON
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (6)

Flow visualisation in real-size optical injectors of conventional, additised, and renewable gasoline blends

Author(s): Milad Heidari-Koochi, Ioannis K. Karathanassis, Phoevos Koukouvinis, Joonsik Hwang, Lyle M. Pickett, David Spivey, Manolis Gavaises
Published in: Energy Conversion and Management, 2021, ISSN 0196-8904
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.enconman.2021.115109

Spatio-temporal identification of plume dynamics by 3D computed tomography using engine combustion network spray G injector and various fuels

Author(s): Joonsik Hwang, Lukas Weiss, Ioannis K. Karathanassis, Phoevos Koukouvinis, Lyle M. Pickett, Scott A. Skeen
Published in: Fuel, Issue 280, 2020, Page(s) 118359, ISSN 0016-2361
Publisher: Elsevier BV
DOI: 10.1016/j.fuel.2020.118359

Machine-learning enabled prediction of 3D spray under engine combustion network spray G conditions

Author(s): Joonsik Hwang, Philku Lee, Sungkwang Mun, Ioannis K. Karathanassis, Phoevos Koukouvinis, Lyle M. Pickett, Manolis Gavaises
Published in: Fuel, Issue 293, 2021, Page(s) 120444, ISSN 0016-2361
Publisher: Elsevier BV
DOI: 10.1016/j.fuel.2021.120444

X-ray phase contrast and absorption imaging for the quantification of transient cavitation in high-speed nozzle flows

Author(s): I. K. Karathanassis, M. Heidari-Koochi, Q. Zhang, J. Hwang, P. Koukouvinis, J. Wang, M. Gavaises
Published in: Physics of Fluids, Issue 33/3, 2021, Page(s) 032102, ISSN 1070-6631
Publisher: American Institute of Physics
DOI: 10.1063/5.0038475

Combined visualisation of cavitation and vortical structures in a real-size optical diesel injector

Author(s): I. K. Karathanassis, J. Hwang, P. Koukouvinis, L. Pickett, M. Gavaises
Published in: Experiments in Fluids, Issue 62/1, 2021, ISSN 0723-4864
Publisher: Springer Verlag
DOI: 10.1007/s00348-020-03096-1

Machine Learning and transcritical sprays: A demonstration study of their potential in ECN Spray-A

Author(s): Koukouvinis, F., Rodriguez, C., Hwang, J., Karathanassis, I.K., Gavaises, M., Pickett, L.
Published in: International J of Engine Research, 2021, ISSN 1468-0874
Publisher: Professional Enjineering Publishing Ltd.
DOI: 10.1177/14680874211020292

Conference proceedings (1)

A new pathway for prediction of gasoline sprays using Machine-Learning algorithms

Author(s): Hwang, J., Lee, P., Karathanasis, I., Koukouvinis, F., Tagliante, F., Nguyen, T. & Pickett, L.
Published in: 2022
Publisher: SAE
DOI: 10.4271/2022-01-0492