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Towards a unified theory of wet agglomeration

Will Walls, James A. Thompson, Steve Brown

Powder Technology, Volume: 407, Start page: 117519

Swansea University Authors: Will Walls, Steve Brown

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DOI (Published version): 10.1016/j.powtec.2022.117519

Abstract

Size control in granulation is of great importance yet is often difficult to achieve. While numerical and analytical models have previously been reported there is still no comprehensive model to describe wet agglomeration systems. In this paper the basis for a new analytical solution towards predict...

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Published in: Powder Technology
ISSN: 0032-5910
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60469
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last_indexed 2023-01-13T19:20:37Z
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spelling 2022-09-07T11:44:31.6481317 v2 60469 2022-07-13 Towards a unified theory of wet agglomeration 3d72431958204a94ab9153138674980d Will Walls Will Walls true false 07a865adc76376646bc6c03a69ce35a9 Steve Brown Steve Brown true false 2022-07-13 FGSEN Size control in granulation is of great importance yet is often difficult to achieve. While numerical and analytical models have previously been reported there is still no comprehensive model to describe wet agglomeration systems. In this paper the basis for a new analytical solution towards predict limiting granule size is suggested. The focus of the model is on bulk behaviour of the granules where the interactions in the granular bulk after the initial contact between agglomerating granules continues to affect the properties, such as in high-shear granulation as well as flow processes such as pan or drum agglomeration. The model as developed assumes that granule size is limited by both saturation and dynamic interactions, and matches the results in the literature regarding the final and continuous growth behaviour in those systems where the model is appropriate. Based on the factors that limit the size, granule growth behaviour can be predicted as a consequence of consolidation. The model matches the behaviour of systems captured by classical growth regime maps in a more quantitative manner, and should allow improved scaling as the model develops. Journal Article Powder Technology 407 117519 Elsevier BV 0032-5910 Granulation; Agglomeration; Growth regime map; Consolidation; Pelletisation; Theoretical model 1 7 2022 2022-07-01 10.1016/j.powtec.2022.117519 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University SU Library paid the OA fee (TA Institutional Deal) The authors would like to acknowledge the M2A funding from the European Social Fund via the Welsh Government (c80816) and TATA Steel that has made this research possible and helped provide grounding for the practical limitations inherent to industry which helped drive the development of the model. 2022-09-07T11:44:31.6481317 2022-07-13T09:01:04.1573178 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Will Walls 1 James A. Thompson 2 Steve Brown 3 60469__24756__440337c1931d4517acac8483b7bed15d.pdf 60469.pdf 2022-07-26T16:24:41.6768141 Output 1898513 application/pdf Version of Record true © 2022 The Authors. This is an open access article under the CC BY-NC-ND license true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Towards a unified theory of wet agglomeration
spellingShingle Towards a unified theory of wet agglomeration
Will Walls
Steve Brown
title_short Towards a unified theory of wet agglomeration
title_full Towards a unified theory of wet agglomeration
title_fullStr Towards a unified theory of wet agglomeration
title_full_unstemmed Towards a unified theory of wet agglomeration
title_sort Towards a unified theory of wet agglomeration
author_id_str_mv 3d72431958204a94ab9153138674980d
07a865adc76376646bc6c03a69ce35a9
author_id_fullname_str_mv 3d72431958204a94ab9153138674980d_***_Will Walls
07a865adc76376646bc6c03a69ce35a9_***_Steve Brown
author Will Walls
Steve Brown
author2 Will Walls
James A. Thompson
Steve Brown
format Journal article
container_title Powder Technology
container_volume 407
container_start_page 117519
publishDate 2022
institution Swansea University
issn 0032-5910
doi_str_mv 10.1016/j.powtec.2022.117519
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
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description Size control in granulation is of great importance yet is often difficult to achieve. While numerical and analytical models have previously been reported there is still no comprehensive model to describe wet agglomeration systems. In this paper the basis for a new analytical solution towards predict limiting granule size is suggested. The focus of the model is on bulk behaviour of the granules where the interactions in the granular bulk after the initial contact between agglomerating granules continues to affect the properties, such as in high-shear granulation as well as flow processes such as pan or drum agglomeration. The model as developed assumes that granule size is limited by both saturation and dynamic interactions, and matches the results in the literature regarding the final and continuous growth behaviour in those systems where the model is appropriate. Based on the factors that limit the size, granule growth behaviour can be predicted as a consequence of consolidation. The model matches the behaviour of systems captured by classical growth regime maps in a more quantitative manner, and should allow improved scaling as the model develops.
published_date 2022-07-01T04:18:36Z
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score 11.013507

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