Dispersed Two-Phase Flows TEST
- July 8-10, 2024
Objectives
Objectives
The objective of the conference is to bring together researchers from different communities (academics and researchers from industrial research institutes in fluid mechanics, chemical engineering, …) working on fundamental problems involving dispersed flows.
Contributions of work in progress are welcome. This conference is international and will be held in english.
It will last three days (July 8-10th, 2024) and will consist in selected oral presentations (~15 to 20 minutes) and poster sessions, with several thematic sessions in series. Extra time outside the formal session will be dedicated to discussions between participants.
The event will be exclusively held in English / Cet évènement sera organisé entièrement en anglais.
Event presentation
In many industrial or environmental situations, particles, drops or bubbles are dispersed in a carrier fluid. Understanding and modeling dispersed flows is therefore a major issue for many applications including chemical engineering (bubble columns, water treatment, fluidized beds, oil refining), nuclear industry (boiling in steam generators, containment spray systems), environmental engineering (sediment transport, coastal erosion, river restauration), geophysics (volcanic processes, fluid migration in sedimentary basins), astrophysics (protoplanetary dust, planet formation) and combustion applications (atomization, spray combustion).
Experimental, numerical and theoretical studies will be presented on the following topics:
- Dynamics and transfer around isolated particles
- Interfacial dynamics (deformation, coalescence and rupture)
- Hydrodynamics of dispersed flows (turbulence, dispersion, two-way coupling)
- Mixing, transfers and phase-change in dispersed flows
- Transport in dispersed flows at high volume fraction
- Complex dispersed flows: density/viscosity stratification, granular & non-Newtonian flows
- Development of experimental methods
- Development of numerical methods
- Multiscale, multiphysics modeling
- Deep Learning for Multiphase Flow (Physics Informed Neural Networks, … etc)
Scientific & Organizing Committee (Organizers in orange)
- Boris Arcen, ..
- Agathe Chouippe, CNRS Université de Strasbourg, France
- Yvan Dossmann, …
- Denis Funfschilling, ICUBE, CNRS Université de Strasbourg, France
- Michel Gradeck, …
- Rainier Hreiz, LRGP, Université de Lorraine, France
- Sébastien Kiesgen de Richter, …
- Jean Sébastien Kroll-Rabotin, Institut Jean Lamour, Université de Lorraine
- Nicolas Louvet, …
- Rabah Mehadi, …
- Christelle Métivier …
- Nicolas Rimbert, …
- Véronique Roig, IMFT, Toulouse, France
- Toutant Adrien, PROMES, Perpignan, France
- Anne Tannière, …
KEY DATES
Abstract deadline
30 april 2024
Abstract selection
15 may 2024
Final program
15 june 2024