TY - GEN
T1 - MercuryDPM
T2 - 7th International Conference on Discrete Element Methods, DEM7 2016
AU - Weinhart, T.
AU - Tunuguntla, D. R.
AU - Van Schrojenstein-Lantman, M. P.
AU - Van Der Horn, A. J.
AU - Denissen, I. F.C.
AU - Windows-Yule, C. R.
AU - De Jong, A. C.
AU - Thornton, A. R.
PY - 2016/12/2
Y1 - 2016/12/2
N2 - MercuryDPM is an open-source particle simulation tool—fully written in C++—developed at the University of Twente. It contains a large range of contact models, allowing for simulations of complex interactions such as sintering, breaking, plastic deformation, wet-materials and cohesion, all of which have important industrial applications. The code also contains novel complex wall generation techniques, that can exactly model real industrial geometries. Additionally, MercuryDPMs’ state-of-the-art built-in statistics package constructs accurate three-dimensional continuum fields such as density, velocity, structure and stress tensors, providing information often not available from scaled-down model experiments or pilot plants. The statistics package was initially developed to analyse granular mixtures flowing over inclined channels, and has since been extended to investigate several other granular applications. In this proceeding, we review these novel techniques, whereas its applications will be discussed in its sequel.
AB - MercuryDPM is an open-source particle simulation tool—fully written in C++—developed at the University of Twente. It contains a large range of contact models, allowing for simulations of complex interactions such as sintering, breaking, plastic deformation, wet-materials and cohesion, all of which have important industrial applications. The code also contains novel complex wall generation techniques, that can exactly model real industrial geometries. Additionally, MercuryDPMs’ state-of-the-art built-in statistics package constructs accurate three-dimensional continuum fields such as density, velocity, structure and stress tensors, providing information often not available from scaled-down model experiments or pilot plants. The statistics package was initially developed to analyse granular mixtures flowing over inclined channels, and has since been extended to investigate several other granular applications. In this proceeding, we review these novel techniques, whereas its applications will be discussed in its sequel.
KW - Cellular Automaton
KW - Discrete Element Method
KW - Direct Simulation Monte Carlo
KW - Granular Flow
UR - http://www.scopus.com/inward/record.url?scp=85007355547&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-1926-5_139
DO - 10.1007/978-981-10-1926-5_139
M3 - Conference contribution
AN - SCOPUS:85007355547
SN - 9789811019258
VL - 188
T3 - Springer Proceedings in Physics
SP - 1353
EP - 1360
BT - Proceedings of the 7th International Conference on Discrete Element Methods
PB - Springer Science and Business Media, LLC
Y2 - 1 August 2016 through 4 August 2016
ER -