Chairman : M.R. Maxey (Brown Univ., USA).
E. Climent, M. Abbas, E. Keaveny
Particle-laden flows span scales ranging from the microscopic fluid-structure interactions observed in cellular biology and microsystems, to the large-scale transport of sediments by turbulent environmental flows and engineering processes. Fundamental to understanding these processes are computational methods and numerical techniques, including LBM, IBM, FCM, DPD, SPH, SD,… The leading experts in the computational methods will share the state-of-the-art progress and compare techniques. Additionally, leading experimental researchers will also attend to provide new challenges and ground discussion in the application to physical phenomena.
List of invited and keynote lectures
Invited Lectures
S. Balachandar (Univ. of Florida, Dept. of Mechanical and Aerospace Eng., USA) – Physics-informed data-driven multiphase flow approaches – from micro to macroscale
George Karniadakis (Brown Univ. Dept. of Applied Math, USA) – Hidden Fluids Mechanics
Jeffrey Morris (CCNY Levich Institute – USA) – Inertial flows of suspensions
Keynote lectures
Mickael Bourgoin (Laboratoire de Physique, France) Multi-way couplings in particle laden turbulent flow
Elisabeth Lemaire (Institut de Physique de Nice, France) – Rheology of non-Brownian suspensions: a contact story
Marco Ellero (Basque Center for Applied Math., Spain) – Fluid Dynamics of coffee extraction
Sarah Hormozi (Cornell University, USA) – Nonlinear suspensions
Blaise Delmotte (LadHyX, Ecole Polytechnique – France) – Large scale simulations of active and reactive suspensions
Topics (Selected topics for abstract submission):
• Lagrangian and Eulerian approaches for particulate flows
• Suspension flow at low Reynolds numbers (simulations and experiments)
• Experiments and simulations of finite size particles and interaction with turbulence
• New advances on the force balance for solid particles and feedback on the flow
• Short-range interactions, lubrication, contact and friction modelling and measurements
• Fixed Cartesian mesh, dynamic re-meshing, automatic mesh refinement, meshless methods for the simulation of particles in fluids
• New advances in experimental techniques (MRI, X-Ray, Tomo-PIV, PTV …)
• Data analysis, machine learning techniques related to particulate flows
ABSTRACT SUBMISSION OPENS February, 1st 2022
ABSTRACT SUMBISSION DEADLINE March, 15th 2022
NOTIFICATION OF ACCEPTANCE March, 30th 2022
EARLY BIRD REGISTRATION OPEN April, 1st 2022
EARLY BIRD REGISTRATION DEADLINE May, 30th 2022
FINAL DEADLINE FOR REGISTRATION June, 30th 2022
Contact the organizer, eric.climent@imft.fr
