Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
S1-11: Machine Learning and Multiphase flows
Time:
Monday, 12/May/2025:
10:30am - 12:30pm

Session Chair: Matteo Bucci
Location: Mercure Salle 1


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Presentations
10:30am - 10:50am

Subcooled-boiling detection by data-driven acoustic diagnosis

Yoshitaka Ueki1, Itsuki Hirako1, Kosuke Tezuka1, Kosuke Aizawa2, Kuniaki Ara1

1Tokyo University of Science, Japan; 2Japan Atomic Energy Agency, Japan

Ueki-Subcooled-boiling detection by data-driven acoustic diagnosis-173.pdf


10:50am - 11:10am

Deep Learning-Based Imaging Methods for Comprehensive Characterization of Bubbly Flows through PIV Images

Rafael Franklin Lazaro de Cerqueira, Marco Antonio Cerutti, Emilio Ernesto Paladino

SINMEC Lab, Mechanical Engineering Department, Federal University of Santa Catarina - UFSC, Florianopolis - SC, Brazil

Lazaro de Cerqueira-Deep Learning-Based Imaging Methods for Comprehensive Characterization-185.pdf


11:10am - 11:30am

Flow Pattern Identification for Vertical Liquid-Gas Flow Using Image Classification

Oluchi Osuagwu, Hamid Karami

University of Oklahoma, United States of America

Osuagwu-Flow Pattern Identification for Vertical Liquid-Gas Flow Using Image Classification-220.pdf


11:30am - 11:50am

Deep learning-based image segmentation for two-phase flows

Walisson Chaves Ferreira Pinto1, Helon Vicente Hultmann Ayala2, Igor Braga de Paula1

1Pontifical Catholic University of Rio de Janeiro, Brazil; 2Pontifical Catholic University of Parana, Brazil

Chaves Ferreira Pinto-Deep learning-based image segmentation for two-phase flows-750.pdf


11:50am - 12:10pm

3DBubbles: an experimental dataset for model training and validation

Baodi Yu1,2, Qian Chen1,2, Yanwei Qin1, Xiaohui Su1,2, Sunyang Wang1,2, Fanyong Meng1

1Institute of Process Engineering, Chinese Academy of Sciences, China, People's Republic of; 2School of Chemical Engineering, University of Chinese Academy of Sciences

Yu-3DBubbles-883.pdf


12:10pm - 12:30pm

Automated Flow Regime Classification using Non-Intrusive Sensor Lab or Field Data

Olaf Skjaeraasen, Lan Liu

Institute for Energy Technology, Norway

Skjaeraasen-Automated Flow Regime Classification using Non-Intrusive Sensor Lab or Field-959.pdf


 
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