Open Access
Automatic image processing of cavitation bubbles to analyze properties of petroleum products
Timur Aliev
1
,
Ilya Korolev
1
,
Olga Burdulenko
1
,
Ekaterina Alchinova
1
,
Anton Subbota
1
,
Mikhail Yasnov
1
,
Michael Nosonovsky
1, 2
,
Publication type: Journal Article
Publication date: 2024-04-03
scimago Q1
wos Q1
SJR: 1.246
CiteScore: 5.3
Impact factor: 5.6
ISSN: 2635098X
General Medicine
Abstract
We have developed a new computer vision method of automatic image processing of cavitation bubbles to classify petroleum products with different octane numbers (ONs) using an artificial neural network (ANN). Ultrasonic irradiation induces cavitation bubbles, which exhibit growth, oscillations, and resonance shapes. Gasoline solutions may have different physical and chemical properties. While a precise understanding of how these properties impact bubble dynamics is challenging, training the ANN algorithm on bubble images allows classification of gasoline bubbles with different ON values. The integration of the ultrasonic cavitation method with computer vision and artificial intelligence techniques offers a promising way for real-time ON assessment in liquid flow.
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Metrics
7
Total citations:
7
Citations from 2025:
5
(71.43%)
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MLA
Cite this
GOST
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Aliev T. et al. Automatic image processing of cavitation bubbles to analyze properties of petroleum products // Digital Discovery. 2024. Vol. 3. No. 6. pp. 1101-1107.
GOST all authors (up to 50)
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Aliev T., Korolev I., Burdulenko O., Alchinova E., Subbota A., Yasnov M., Nosonovsky M., Skorb E. V. Automatic image processing of cavitation bubbles to analyze properties of petroleum products // Digital Discovery. 2024. Vol. 3. No. 6. pp. 1101-1107.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1039/d4dd00003j
UR - https://xlink.rsc.org/?DOI=D4DD00003J
TI - Automatic image processing of cavitation bubbles to analyze properties of petroleum products
T2 - Digital Discovery
AU - Aliev, Timur
AU - Korolev, Ilya
AU - Burdulenko, Olga
AU - Alchinova, Ekaterina
AU - Subbota, Anton
AU - Yasnov, Mikhail
AU - Nosonovsky, Michael
AU - Skorb, Ekaterina V.
PY - 2024
DA - 2024/04/03
PB - Royal Society of Chemistry (RSC)
SP - 1101-1107
IS - 6
VL - 3
SN - 2635-098X
ER -
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BibTex (up to 50 authors)
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@article{2024_Aliev,
author = {Timur Aliev and Ilya Korolev and Olga Burdulenko and Ekaterina Alchinova and Anton Subbota and Mikhail Yasnov and Michael Nosonovsky and Ekaterina V. Skorb},
title = {Automatic image processing of cavitation bubbles to analyze properties of petroleum products},
journal = {Digital Discovery},
year = {2024},
volume = {3},
publisher = {Royal Society of Chemistry (RSC)},
month = {apr},
url = {https://xlink.rsc.org/?DOI=D4DD00003J},
number = {6},
pages = {1101--1107},
doi = {10.1039/d4dd00003j}
}
Cite this
MLA
Copy
Aliev, Timur, et al. “Automatic image processing of cavitation bubbles to analyze properties of petroleum products.” Digital Discovery, vol. 3, no. 6, Apr. 2024, pp. 1101-1107. https://xlink.rsc.org/?DOI=D4DD00003J.
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