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
S2-11: Machine Learning and Multiphase flows
Time:
Monday, 12/May/2025:
2:40pm - 4:20pm

Session Chair: Fanyong Meng
Location: Mercure Salle 1


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Presentations
2:40pm - 3:00pm

Identification of population balance model parameters for reactive solid-liquid systems with machine learning

Antonello Raponi, Antonio Buffo, Gianluca Boccardo, Marco Vanni, Daniele Marchisio

Politecnico di Torino, Italy

Raponi-Identification of population balance model parameters-122.pdf


3:00pm - 3:20pm

Three Dimensional Modeling of Filtration Process in Complex Filter Structures using a data-free Physics-Informed Neural Network coupled with Smoothed Particle Hydrodynamic

Amin Zargaran, Fabian Hartwig, Uwe Janoske

University of Wuppertal, Germany

Zargaran-Three Dimensional Modeling of Filtration Process in Complex Filter Structures using-209.pdf


3:20pm - 3:40pm

Advanced Pore Network Modelling (PNM) for Packed-Bed Reactors: A Neural Network Approach Using PR-CFD Data

Cristina Garcia Llamas, E.A.J.F. Frank Peters, J. A. M. Hans Kuipers

Eindhoven University of Technology, Netherlands

Garcia Llamas-Advanced Pore Network Modelling-233.pdf


3:40pm - 4:00pm

Prediction of heat transfer characteristics during flow condensation inside enhanced structured tubes using artificial neural network

Anil Kumar, Amit Kumar, Ravi Kumar, Arup Kumar Das

Indian Institute of Technology Roorkee, India

Kumar-Prediction of heat transfer characteristics during flow condensation inside enhanced-822.pdf


4:00pm - 4:20pm

ANN predictions of particle trajectories in a turbulent jet

Julien ZABIOLLE1, Mickael Bourgoin2, Raúl Bayoán Cal3, Bianca Viggiano1, Roberto Paoli1

1Polytechnique Montréal, département mécanique, Montréal (QC) Canada; 2Univ Lyon, Ens de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France; 3Department of Mechanical Engineering, Portland State University, Portland, OR 97201, USA

ZABIOLLE-ANN predictions of particle trajectories in a turbulent jet-1220.pdf


 
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