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S1-11: Machine Learning and Multiphase flows
Time:
Monday, 12/May/2025:
10:30am - 12:30pm
Session Chair: Matteo Bucci
Location: Mercure Salle 1
Presentations
10:30am - 10:50am Subcooled-boiling detection by data-driven acoustic diagnosis
Yoshitaka Ueki 1 , Itsuki Hirako1 , Kosuke Tezuka1 , Kosuke Aizawa2 , Kuniaki Ara1
1 Tokyo University of Science, Japan; 2 Japan Atomic Energy Agency, Japan
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
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
11:30am - 11:50am Deep learning-based image segmentation for two-phase flows
Walisson Chaves Ferreira Pinto 1 , Helon Vicente Hultmann Ayala2 , Igor Braga de Paula1
1 Pontifical Catholic University of Rio de Janeiro, Brazil; 2 Pontifical Catholic University of Parana, Brazil
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 Meng 1
1 Institute of Process Engineering, Chinese Academy of Sciences, China, People's Republic of; 2 School of Chemical Engineering, University of Chinese Academy of Sciences
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
