Faik, A.M.E.D. and Zhang, Y. orcid.org/0000-0002-9736-5043 (2015) Quantitative spray analysis of diesel fuel and its emulsions using digital image processing. In: EFM14 – Experimental Fluid Mechanics 2014. Experimental Fluid Mechanics 2014, Nov 18, 2014 - Nov 21, 2014, Czech Republic. EPJ Web of Conferences, 92 . EDP Sciences
Abstract
In the present work, an experimental investigation of spray atomization of different liquids has been carried out. An air-assist atomizer operating at low injection pressures valued (4 and 6 bar) has been used to generate sprays of (diesel fuel, 5, 10, and 15% water-emulsified-diesel), respectively. A Photron-SA4 high speed camera has been used for spray imaging at 2000 fps. 20 time intervals (from 5 to 100 ms with 5 ms time difference) are selected for analysis and comparison. Spray macroscopic characteristics (spray penetration, dispersion, cone angle, axial and dispersion velocities) have been extracted by a proposed technique based on image processing using Matlab, where the maximum and minimum (horizontal and vertical) boundaries of the spray are detected, from which the macroscopic spray characteristics are evaluated. The maximum error of this technique is (1.5% for diesel spray) and a little bit higher for its emulsions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Owned by the authors, published by EDP Sciences, 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Sep 2017 10:52 |
Last Modified: | 07 Sep 2017 10:52 |
Published Version: | https://doi.org/10.1051/epjconf/20159202017 |
Status: | Published |
Publisher: | EDP Sciences |
Series Name: | EPJ Web of Conferences |
Refereed: | Yes |
Identification Number: | 10.1051/epjconf/20159202017 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120577 |