15 citations · 31 across the 3 of their papers we have counts for
4 papers
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…
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…
Physically consistent immersed boundary method: a framework for predicting hydrodynamic forces on particles with coarse meshes
Max Hausmann, Hani Elmestikawy, Berend van Wachem
In the present paper, a fluid-particle coupling method is directly derived from the Navier-Stokes equations (NSE) by applying the concept of volume-filtering, yielding a physically…
Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies
Berend van Wachem, Hani Elmestikawy, Victor Chéron
In the work, we derive novel hydrodynamic force models to describe the interaction of a flow with particles in an assembly when only an averaged resolution of the flow is available…