collaborators

5 papers

physics.comp-ph2025

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches

Julia Reuter, Hani Elmestikawy, Sanaz Mostaghim +1

Drag forces on particles in random assemblies can be accurately estimated through particle-resolved direct numerical simulations (PR-DNS). Despite its limited applicability to rela…

physics.flu-dyn2025

A new paradigm for computing hydrodynamic forces on particles in Euler-Lagrange point-particle simulations

Berend van Wachem, Hani Elmestikawy, Akshay Chandran +1

Accurate prediction of the hydrodynamic forces on particles is central to the fidelity of Euler-Lagrange (EL) simulations of particle-laden flows. Traditional EL methods typically…

physics.flu-dyn2025

Self-sorting of bidisperse particles in evaporating sessile droplets

Aman Kumar Jain, Fabian Denner, Berend van Wachem

This study investigates the dispersion and self-sorting dynamics of bidisperse particles, i.e., a mixture of two distinct particle sizes, during the evaporation of ethanol droplets…

physics.flu-dyn2025

Steady undisturbed velocity correction scheme for Euler-Lagrange simulations near planar walls

Akshay Chandran, Fabien Evrard, Berend van Wachem

Euler-Lagrange (EL) point-particle simulations rely on hydrodynamic force closure models to accurately predict particle dynamics in flows. The closure models currently employed for…

physics.flu-dyn2024

Correlations for aerodynamic force coefficients of non-spherical particles in compressible flows

Christian Gorges, Victor Chéron, Anjali Chopra +2

This study presents particle-resolved direct numerical simulations using three-dimensional body-fitted hexahedral meshes to investigate the aerodynamic force and torque coefficient…