3D printed agglomerates for granule breakage tests

Ge, Ruihuan, Ghadiri, Mojtaba, Bonakdar, Tina and Hapgood, Karen 2017, 3D printed agglomerates for granule breakage tests, Powder technology, vol. 306, pp. 103-112, doi: 10.1016/j.powtec.2016.10.070.

Attached Files
Name Description MIMEType Size Downloads

Title 3D printed agglomerates for granule breakage tests
Author(s) Ge, Ruihuan
Ghadiri, Mojtaba
Bonakdar, Tina
Hapgood, KarenORCID iD for Hapgood, Karen orcid.org/0000-0002-0402-8954
Journal name Powder technology
Volume number 306
Start page 103
End page 112
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-01
ISSN 0032-5910
Keyword(s) 3D printing
breakage test
PolyJet technology
Summary In the research into agglomeration, a long term barrier is the lack of a universally accepted method to evaluate the breakage propensity of agglomerates. Computer simulation is often used but is limited by the lack of identical, controlled agglomerates to test and validate simple models, let alone replicate the complex structure of real industrial agglomerates. This paper presents work on the characterisation of strength of model test agglomerates prepared by a 3D printing production method enabling fully reproducible structures. Agglomerates were designed using Solidworks 2014 software and printed by an Objet500 Connex 3D printer. Materials with different mechanical properties were used to print the particles and the inter particle bonds, allowing a series of combinations of bond strength, particle strength and agglomerate structure to be tested. Compression and impact tests were performed to investigate the breakage behaviour of the printed agglomerates in terms of agglomerate orientations, bond properties and strain rates. This method will allow more rigorous testing of agglomerate breakage models.
Language eng
DOI 10.1016/j.powtec.2016.10.070
Field of Research 0904 Chemical Engineering
0913 Mechanical Engineering
Socio Economic Objective 0 Not Applicable
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30092337

Document type: Journal Article
Collection: School of Engineering
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 216 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 28 Mar 2017, 13:48:21 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.