MercuryDPM

Fast, flexible particle simulations in complex geometries part II: Applications

Conference paper (2017)

Authors

Thomas Weinhart University of Twente
Deepak R. Tunuguntla University of Twente
Sudeshna Roy University of Twente
H. Shi University of Twente
Arianna Pagano University of Strathclyde
Wouter DenBreeijen University of Twente
Bert J. Scheper University of Twente
Ahmed Jarray University of Twente
Stefan Luding University of Twente
Anthony R. Thornton University of Twente
Irana Fc Denissen University of Twente
R. Windows Yule Christopher University of Twente
Harmen Polman University of Twente
Jonathan M.F. Tsang University of Cambridge
Binbin Jin University of Cambridge
Luca Orefice Research Center Pharmaceutical Engineering (RCPE) GmbH
Kasper Van Der Vaart Stanford University
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Published Date

2017

Language

English

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Abstract

MercuryDPM is a particle-simulation software developed open-source by a global network of researchers. It was designed ab initio to simulate realistic geometries and materials, thus it contains several unique features not found in any other particle simulation software. These features have been discussed in a companion paper published in the DEM7 conference proceedings; here we present several challenging setups implemented in MercuryDPM . Via these setups, we demonstrate the unique capability of the code to simulate and analyse highly complex geotechnical and industrial applications. The setups implemented include complex geometries such as (i) a screw conveyor, (ii) steady-state inflow conditions for chute flows, (iii) a confined conveyor belt to simulate a steady-state breaking wave, and (iii) a quasi-2D cylindrical slice to efficiently study shear flows. MercuryDPM is also parallel, which we showcase via a multi-million particle simulations of a rotating drum. We further demonstrate how to simulate complex particle interactions, including: (i) deformable, charged clay particles; and (ii) liquid bridges and liquid migration in wet particulates, (iii) non-spherical particles implemented via superquadrics. Finally, we show how to analyse and complex systems using the unique micro-macro mapping (coarse-graining) tool MercuryCG.