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Article: A new index to characterize the segregation of binary mixture

TitleA new index to characterize the segregation of binary mixture
Authors
KeywordsSegregation index
Mixing index
Segregation profile
Vibration
Binary mixture
Issue Date2020
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/powtec
Citation
Powder Technology, 2020, v. 363, p. 611-620 How to Cite?
AbstractIn present study, we develop a new segregation index having both geometrical and physical significances, on the basis of segregation profile of granular bed. We carry out a DEM simulation to validate this index and analyze the segregation of binary mixture. The DEM analysis reveals that the segregation profile of granular bed subjected to vibration is in general in a reverse “N” mode, which tends to narrow and weaken as vibration continues. At a proper vibration amplitude, the reverse “N” pattern diminishes progressively and the overall segregation profile evolves into a three-line-segment pattern which stands for the ideal state of full segregation. A comparison analysis indicates that the new index proposed in this study is able to give a more proper estimation of segregation phenomenon for binary mixtures, as compared with other indices from the literature.
Persistent Identifierhttp://hdl.handle.net/10722/293591
ISSN
2021 Impact Factor: 5.640
2020 SCImago Journal Rankings: 1.079
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDai, BB-
dc.contributor.authorYang, J-
dc.contributor.authorLiu, FT-
dc.contributor.authorGu, XQ-
dc.contributor.authorLin, KR-
dc.date.accessioned2020-11-23T08:19:00Z-
dc.date.available2020-11-23T08:19:00Z-
dc.date.issued2020-
dc.identifier.citationPowder Technology, 2020, v. 363, p. 611-620-
dc.identifier.issn0032-5910-
dc.identifier.urihttp://hdl.handle.net/10722/293591-
dc.description.abstractIn present study, we develop a new segregation index having both geometrical and physical significances, on the basis of segregation profile of granular bed. We carry out a DEM simulation to validate this index and analyze the segregation of binary mixture. The DEM analysis reveals that the segregation profile of granular bed subjected to vibration is in general in a reverse “N” mode, which tends to narrow and weaken as vibration continues. At a proper vibration amplitude, the reverse “N” pattern diminishes progressively and the overall segregation profile evolves into a three-line-segment pattern which stands for the ideal state of full segregation. A comparison analysis indicates that the new index proposed in this study is able to give a more proper estimation of segregation phenomenon for binary mixtures, as compared with other indices from the literature.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/powtec-
dc.relation.ispartofPowder Technology-
dc.subjectSegregation index-
dc.subjectMixing index-
dc.subjectSegregation profile-
dc.subjectVibration-
dc.subjectBinary mixture-
dc.titleA new index to characterize the segregation of binary mixture-
dc.typeArticle-
dc.identifier.emailYang, J: junyang@hkucc.hku.hk-
dc.identifier.authorityYang, J=rp00201-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.powtec.2020.01.005-
dc.identifier.scopuseid_2-s2.0-85079290996-
dc.identifier.hkuros319586-
dc.identifier.volume363-
dc.identifier.spage611-
dc.identifier.epage620-
dc.identifier.isiWOS:000527962700056-
dc.publisher.placeNetherlands-

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