Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums

Granular flow in a rotating drum provides a convenient system for investigating mixing, segregation and general properties of granular materials. This study is concerned with the maximum thickness of the flowing surface layer observed at the rolling regime. A scaling relation is first derived with t...

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Main Authors: Cheng, Nian-Sheng, Zhou, Qi., Tan, Soon Keat, Zhao, Kuifeng
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2012
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Online Access:https://hdl.handle.net/10356/80011
http://hdl.handle.net/10220/7672
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-800112020-03-07T11:43:31Z Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums Cheng, Nian-Sheng Zhou, Qi. Tan, Soon Keat Zhao, Kuifeng School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Water resources Granular flow in a rotating drum provides a convenient system for investigating mixing, segregation and general properties of granular materials. This study is concerned with the maximum thickness of the flowing surface layer observed at the rolling regime. A scaling relation is first derived with the consideration of incomplete similarity associated with the drum-particle size ratio and the Froude number. Calibration is then carried out with published laboratory data, which were collected for the case of rotating drums half-filled with glass beads. The scaling relation is also compared with other kinds of datasets, showing good agreement and possibilities of the proposed approach to be further extended to more complex cases. 2012-03-26T01:15:58Z 2019-12-06T13:38:42Z 2012-03-26T01:15:58Z 2019-12-06T13:38:42Z 2011 2011 Journal Article Cheng, N. S., Zhou, Q., Tan, S. K., & Zhao, K. (2011). Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums. Chemical Engineering Science, 66(12), 2872-2878. https://hdl.handle.net/10356/80011 http://hdl.handle.net/10220/7672 10.1016/j.ces.2011.03.050 en Chemical engineering science © 2011 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Chemical engineering science, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1016/j.ces.2011.03.050]. 22 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Water resources
spellingShingle DRNTU::Engineering::Civil engineering::Water resources
Cheng, Nian-Sheng
Zhou, Qi.
Tan, Soon Keat
Zhao, Kuifeng
Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
description Granular flow in a rotating drum provides a convenient system for investigating mixing, segregation and general properties of granular materials. This study is concerned with the maximum thickness of the flowing surface layer observed at the rolling regime. A scaling relation is first derived with the consideration of incomplete similarity associated with the drum-particle size ratio and the Froude number. Calibration is then carried out with published laboratory data, which were collected for the case of rotating drums half-filled with glass beads. The scaling relation is also compared with other kinds of datasets, showing good agreement and possibilities of the proposed approach to be further extended to more complex cases.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Cheng, Nian-Sheng
Zhou, Qi.
Tan, Soon Keat
Zhao, Kuifeng
format Article
author Cheng, Nian-Sheng
Zhou, Qi.
Tan, Soon Keat
Zhao, Kuifeng
author_sort Cheng, Nian-Sheng
title Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
title_short Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
title_full Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
title_fullStr Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
title_full_unstemmed Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
title_sort application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums
publishDate 2012
url https://hdl.handle.net/10356/80011
http://hdl.handle.net/10220/7672
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