Recent Advances in MercuryDPM

Anthony R. Thornton; Timo Plath; Igor Ostanin; Holger Götz; Jan-Willem Bisschop; Mohamed Hassan; Raïsa Roeplal; Xiuqi Wang; Sahar Pourandi; Thomas Weinhart

doi:10.1007/s11786-023-00562-x

Recent Advances in MercuryDPM

Anthony R. Thornton^*, Timo Plath, Igor Ostanin, Holger Götz, Jan-Willem Bisschop, Mohamed Hassan, Raïsa Roeplal, Xiuqi Wang, Sahar Pourandi, Thomas Weinhart

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

65 Downloads (Pure)

Abstract

In this paper we introduce the open-source code MercuryDPM: a code for simulating discrete particles. The paper discusses software and management issues that may be interesting for the developers of other open-source codes. Then we review the new features that have been added since the last publication: an improved Hertz-Mindlin model; a new liquid bridge model of Lian and Seville; a droplet-spray model; better support for re-creating complex, measured particle size distributions; a new implementation of rigid clumps; an implementation of elastic membranes; a wear model for walls; a soft-kill feature and a cloud-deployment interface for AWS.

Original language	English
Article number	13
Journal	Mathematics in Computer Science
Volume	17
Issue number	2
DOIs	https://doi.org/10.1007/s11786-023-00562-x
Publication status	Published - Jun 2023

Keywords

(Wet) Granular Materials
Cloud compung
DEM
DPM
MercuryDPM
open-source
UT-Hybrid-D

Access to Document

10.1007/s11786-023-00562-xLicence: CC BY

ArticleFinal published version, 2.25 MBLicence: CC BY

Cite this

@article{a11b05e8bb8b49038e565c6602bccfc2,

title = "Recent Advances in MercuryDPM",

abstract = "In this paper we introduce the open-source code MercuryDPM: a code for simulating discrete particles. The paper discusses software and management issues that may be interesting for the developers of other open-source codes. Then we review the new features that have been added since the last publication: an improved Hertz-Mindlin model; a new liquid bridge model of Lian and Seville; a droplet-spray model; better support for re-creating complex, measured particle size distributions; a new implementation of rigid clumps; an implementation of elastic membranes; a wear model for walls; a soft-kill feature and a cloud-deployment interface for AWS.",

keywords = "(Wet) Granular Materials, Cloud compung, DEM, DPM, MercuryDPM, open-source, UT-Hybrid-D",

author = "Thornton, {Anthony R.} and Timo Plath and Igor Ostanin and Holger G{\"o}tz and Jan-Willem Bisschop and Mohamed Hassan and Ra{\"i}sa Roeplal and Xiuqi Wang and Sahar Pourandi and Thomas Weinhart",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",

year = "2023",

month = jun,

doi = "10.1007/s11786-023-00562-x",

language = "English",

volume = "17",

journal = "Mathematics in Computer Science",

issn = "1661-8270",

publisher = "Birkh{\"a}user",

number = "2",

}

TY - JOUR

T1 - Recent Advances in MercuryDPM

AU - Thornton, Anthony R.

AU - Plath, Timo

AU - Ostanin, Igor

AU - Götz, Holger

AU - Bisschop, Jan-Willem

AU - Hassan, Mohamed

AU - Roeplal, Raïsa

AU - Wang, Xiuqi

AU - Pourandi, Sahar

AU - Weinhart, Thomas

PY - 2023/6

Y1 - 2023/6

N2 - In this paper we introduce the open-source code MercuryDPM: a code for simulating discrete particles. The paper discusses software and management issues that may be interesting for the developers of other open-source codes. Then we review the new features that have been added since the last publication: an improved Hertz-Mindlin model; a new liquid bridge model of Lian and Seville; a droplet-spray model; better support for re-creating complex, measured particle size distributions; a new implementation of rigid clumps; an implementation of elastic membranes; a wear model for walls; a soft-kill feature and a cloud-deployment interface for AWS.

AB - In this paper we introduce the open-source code MercuryDPM: a code for simulating discrete particles. The paper discusses software and management issues that may be interesting for the developers of other open-source codes. Then we review the new features that have been added since the last publication: an improved Hertz-Mindlin model; a new liquid bridge model of Lian and Seville; a droplet-spray model; better support for re-creating complex, measured particle size distributions; a new implementation of rigid clumps; an implementation of elastic membranes; a wear model for walls; a soft-kill feature and a cloud-deployment interface for AWS.

KW - (Wet) Granular Materials

KW - Cloud compung

KW - DEM

KW - DPM

KW - MercuryDPM

KW - open-source

KW - UT-Hybrid-D

UR - http://www.scopus.com/inward/record.url?scp=85162068770&partnerID=8YFLogxK

U2 - 10.1007/s11786-023-00562-x

DO - 10.1007/s11786-023-00562-x

M3 - Article

AN - SCOPUS:85162068770

SN - 1661-8270

VL - 17

JO - Mathematics in Computer Science

JF - Mathematics in Computer Science

IS - 2

M1 - 13

ER -

Recent Advances in MercuryDPM

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Virtual Prototyping of Wet Granulation processes: Design and Optimisation via Multiscale Modelling and Rapid Prototyping

Cite this