He, Y, Hassanpour, A orcid.org/0000-0002-7756-1506 and Bayly, AE (2021) Combined effect of particle size and surface cohesiveness on powder spreadability for additive manufacturing. Powder Technology, 392. pp. 191-203. ISSN 0032-5910
Abstract
The dependence of powder flowability on particle cohesion can often be captured by a dimensionless Bond number, however, whether the same is true for powder spreadability remains unclear. This paper thus presents a particle-scale study on the spreading of cohesive fine powders for additive manufacturing, focusing on the combined effect of particle size and surface cohesiveness. With an experimental validated model, detailed analysis revealed two competing mechanisms due to geometrical constraint and interparticle cohesion. For small particles that allows multiple particles across blade clearance, layer homogeneity is largely maintained before deteriorating sharply, while for large particles that forming a mono-layered packing structure, an optimum homogeneity can be obtained at a moderate level of particle cohesion. The efficacy of increasing blade clearance to improve layer quality was also evaluated. This study can help to identify a critical set of powder descriptors that defines spreading performance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Discrete element method, Particle size, Cohesion, Powder spreading, Additive manufacturing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/P006566/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Jul 2021 14:12 |
Last Modified: | 28 Feb 2023 15:20 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.powtec.2021.06.046 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175772 |