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20112025
most citedThe influence of material properties and process parameters on the spreading process in additive manufacturing

119 citations · 239 across the 16 of their papers we have counts for

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11 papers · 1 filter

cond-mat.soft2025

Towards scientific machine learning for granular material simulations -- challenges and opportunities

Marc Fransen, Andreas Fürst, Deepak Tunuguntla +21

Micro-scale mechanisms, such as inter-particle and particle-fluid interactions, govern the behaviour of granular systems. While particle-scale simulations provide detailed insights…

cond-mat.soft2022★ 10 cited

Shape matters: Competing mechanisms of particle shape segregation

D. Hernández-Delfin, D. R. Tunuguntla, T. Weinhart +2

It is well-known that granular mixtures that differ in size or shape segregate when sheared. In the past, two mechanisms have been proposed to describe this effect, and it is uncle…

cond-mat.soft2020★ 119 cited

The influence of material properties and process parameters on the spreading process in additive manufacturing

Mohamad Yousef Shaheen, Anthony R. Thornton, Stefan Luding +1

Laser powder bed fusion (LPBF) is an additive manufacturing (AM) technology. To achieve high product quality, the powder is best spread as a uniform, dense layer. The challenge for…

cond-mat.soft2019

Surface flow profiles for dry and wet granular materials by Particle Tracking Velocimetry; the effect of wall roughness

Sudeshna Roy, Bert J. Scheper, Harmen Polman +4

Two-dimensional Particle Tracking Velocimetry (PTV) is a promising technique to study the behaviour of granular flows. The aim is to experimentally determine the free surface width…

cond-mat.soft2017★ 47 cited

Segregation of large particles in dense granular flows: A granular Saffman effect?

Kasper van der Vaart, Marnix P. van Schrojenstein Lantman, Thomas Weinhart +3

We report on the scaling between the lift force and the velocity lag experienced by a single particle of different size in a monodisperse dense granular chute flow. The similarity…

cond-mat.soft2016★ 1 cited

Towards a general(ized) shear thickening rheology of wet granular materials under small pressure

Sudeshna Roy, Stefan Luding, Thomas Weinhart

We study the rheology of dry and wet granular materials in the steady quasistatic regime using the Discrete Element Method (DEM) in a split-bottom ring shear cell with focus on the…

cond-mat.soft2015

Micro-macro transition and simplified contact models for wet granular materials

Sudeshna Roy, Abhinendra Singh, Stefan Luding +1

Wet granular materials in a quasi-static steady state shear flow have been studied with discrete particle simulations. Macroscopic quantities, consistent with the conservation laws…

cond-mat.soft2015★ 50 cited

From discrete elements to continuum fields: Extension to bidisperse systems

Deepak R. Tunuguntla, Anthony R. Thornton, Thomas Weinhart

To develop, calibrate and/or validate continuum models from experimental or numerical data, micro-macro transition methods are required. These methods are used to obtain the contin…

cond-mat.soft2014

Experiments and Discrete Element Simulation of the Dosing of Cohesive Powders in a Simplified Geometry

Olukayode I. Imole, Dinant Krijgsman, Thomas Weinhart +4

We perform experiments and discrete element simulations on the dosing of cohesive granular materials in a simplified geometry. The setup is a simplified canister box where the powd…

cond-mat.soft2011

Closure Relations for Shallow Granular Flows from Particle Simulations

Thomas Weinhart, Anthony Thornton, Stefan Luding +1

The Discrete Particle Method (DPM) is used to model granular flows down an inclined chute. We observe three major regimes: static piles, steady uniform flows and accelerating flows…

cond-mat.soft2011

From discrete particles to continuum fields near a boundary

Thomas Weinhart, Anthony R. Thornton, Stefan Luding +1

An expression for the stress tensor near an external boundary of a discrete mechanical system is derived explicitly in terms of the constituents' degrees of freedom and interaction…