A revisit of common normal method for discrete modelling of non-spherical particles

Kildashti, K; Dong, K; Samali, B

A revisit of common normal method for discrete modelling of non-spherical particles

Kildashti, K Dong, K Samali, B

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Publication Type:: Journal Article
Citation:: Powder Technology, 2018, 326 pp. 1 - 6
Issue Date:: 2018-02-15

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Field	Value	Language
dc.contributor.author	Kildashti, K	en_US
dc.contributor.author	Dong, K	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.date.issued	2018-02-15	en_US
dc.identifier.citation	Powder Technology, 2018, 326 pp. 1 - 6	en_US
dc.identifier.issn	0032-5910	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129320
dc.description.abstract	© 2017 Elsevier B.V. Discrete element method (DEM) is prominent for studying granular materials at particle scale. However, how to model non-spherical particles in DEM is still challenging. In light of the present contact detection algorithms in the literature, common normal (CN) and geometric potential (GP) are two methods used for particles with smooth surfaces. Yet it has been long believed that CN gives erroneous results while GP is more preferable since they were firstly proposed for ellipsoidal particles decades ago. A revisit of CN in this work identifies two problems in the original CN, and then a new CN is proposed which can overcome these problems. Based on the comparison to sub-particle scale finite element analyses, the new CN has been further shown to be able to predict the contact plane more accurately than the original CN and GP. Such an advantage is found for the modelling of ellipsoidal and superquadric particles. The study not only proposes an improved CN algorithm but also demonstrates that CN should receive more attentions in DEM, though GP is now much more widely used.	en_US
dc.relation.ispartof	Powder Technology	en_US
dc.relation.isbasedon	10.1016/j.powtec.2017.11.066	en_US
dc.subject.classification	Chemical Engineering	en_US
dc.title	A revisit of common normal method for discrete modelling of non-spherical particles	en_US
dc.type	Journal Article
utslib.citation.volume	326	en_US
utslib.for	0904 Chemical Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0914 Resources Engineering and Extractive Metallurgy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	326	en_US

Abstract:

© 2017 Elsevier B.V. Discrete element method (DEM) is prominent for studying granular materials at particle scale. However, how to model non-spherical particles in DEM is still challenging. In light of the present contact detection algorithms in the literature, common normal (CN) and geometric potential (GP) are two methods used for particles with smooth surfaces. Yet it has been long believed that CN gives erroneous results while GP is more preferable since they were firstly proposed for ellipsoidal particles decades ago. A revisit of CN in this work identifies two problems in the original CN, and then a new CN is proposed which can overcome these problems. Based on the comparison to sub-particle scale finite element analyses, the new CN has been further shown to be able to predict the contact plane more accurately than the original CN and GP. Such an advantage is found for the modelling of ellipsoidal and superquadric particles. The study not only proposes an improved CN algorithm but also demonstrates that CN should receive more attentions in DEM, though GP is now much more widely used.

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http://hdl.handle.net/10453/129320