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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

S3-06: Modeling of Granular Flows

Time:

Monday, 12/May/2025:

4:40pm - 6:20pm

Session Chair: Aline Lefebvre-Lepot

Location: Guillaumet 2

Presentations

4:40pm - 5:00pm

Investigation of particle dynamics in ceramic granular flow in a rotary drum

Jinyong Choi, Hyungmin Park

Seoul National University, Korea, Republic of (South Korea)

Choi-Investigation of particle dynamics in ceramic granular flow-403.pdf

5:00pm - 5:20pm

Understanding Fluidized Bed Granulation of High Surfactant Content Powders Using Experimental and Modelling Approaches

Pongsapak Visetthernrakul^1,2, Hasiba Bekto², Andrew Ingram¹, Mark J. Simmons¹, Richard W. Greenwood¹, Jonathan J. O'Sullivan²

¹University of Birmingham, United Kingdom; ²Unilever Research & Development

Visetthernrakul-Understanding Fluidized Bed Granulation of High Surfactant Content Powders Using-580.pdf

5:20pm - 5:40pm

Rheology of suspensions of non-Brownian soft spheres across the jamming and viscous-to-inertial transition

Franco Tapia¹, Chong-Wei Hong², Pascale Aussillous², \Élisabeth Guazzelli³

¹TU Dresden, Germany; ²Aix-Marseille Univ, CNRS, IUSTI, Marseille, France; ³Université Paris Cité, CNRS, Matière et Systèmes Complexes (MSC) UMR 7057, Paris, France

Tapia-Rheology of suspensions of non-Brownian soft spheres across the jamming and-612.pdf

5:40pm - 6:00pm

Pressure imposed rheology of dense suspensions in viscous-inertial transition

Sudarshan Konidena, Alireza Khodabakhshi, Franco Tapia, Bernhard Vowinckel

TU Dresden, Germany

Konidena-Pressure imposed rheology of dense suspensions in viscous-inertial transition-628.pdf

6:00pm - 6:20pm

Tensor Basis Neural Network Modelling of Solid Stresses in Granular Material

Baptiste Hardy¹, Sankaran Sundaresan², Ali Ozel³

¹TU Delft; ²Princeton University; ³Heriot-Watt University

Hardy-Tensor Basis Neural Network Modelling of Solid Stresses-738.pdf

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