ML-based semantic segmentation for quantitative spray atomization description

Jose, Basil and Lammel, Oliver and Hampp, Fabian (2025) ML-based semantic segmentation for quantitative spray atomization description. International Journal of Multiphase Flow, 187, p. 105179. Elsevier. doi: 10.1016/j.ijmultiphaseflow.2025.105179. ISSN 0301-9322.

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Official URL: https://doi.org/10.1016/j.ijmultiphaseflow.2025.105179

Item URL in elib:

https://elib.dlr.de/213113/

Document Type:

Article

Additional Information:

Data set at https://doi.org/10.18419/DARUS-4739

Title:

ML-based semantic segmentation for quantitative spray atomization description

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Jose, Basil	IVLR, Uni Stuttgart	UNSPECIFIED	UNSPECIFIED
Lammel, Oliver	UNSPECIFIED	https://orcid.org/0000-0002-4546-6731	UNSPECIFIED
Hampp, Fabian	IVLR, Uni Stuttgart	https://orcid.org/0000-0002-9895-4288	UNSPECIFIED

Date:

2025

Journal or Publication Title:

International Journal of Multiphase Flow

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

Volume:

187

DOI:

10.1016/j.ijmultiphaseflow.2025.105179

Page Range:

p. 105179

Publisher:

Elsevier

ISSN:

0301-9322

Status:

Published

Keywords:

machine learning, image processing, feature visualization, spray distribution, quantitative

HGF - Research field:

Energy

HGF - Program:

Materials and Technologies for the Energy Transition

HGF - Program Themes:

High-Temperature Thermal Technologies

DLR - Research area:

Energy

DLR - Program:

E VS - Combustion Systems

DLR - Research theme (Project):

E - Combustion and Power Plant Systems

Location:

Stuttgart

Institutes and Institutions:

Institute of Combustion Technology > Combustion Diagnostícs

Deposited By:

Geigle, Dr. Klaus Peter

Deposited On:

10 Mar 2025 09:28

Last Modified:

10 Mar 2025 09:28

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