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Conference object . 2025
License: CC BY
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Article . 2025
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.26153/ts...
Conference object . 2025
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Rheology Informed Mixture Engineering of Aggregates for Extrusion Additive Manufacturing

Authors: Hossain, S.U.M. Rabbi; King, Philip; Moore, Timothy;

Rheology Informed Mixture Engineering of Aggregates for Extrusion Additive Manufacturing

Abstract

This is the author archived version of a peer reviewed conference paper published in the proceedings of the 36th Annual International Solid Freeform Fabrication Symposium (SFF 2025), held August 10 –13, 2025, at the AT&T Hotel and Conference Center, Austin, TX, USA. The work investigates rheology informed mixture engineering of granular ceramic aggregates under extrusion to enable adaptive control and improved printability in extrusion based additive manufacturing. The official version is available via the SFF Symposium website.

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Keywords

closed-loop control, material extrusion, Printability and buildability of granular materials, Flow regime transitions in dense suspensions, Non-Newtonian particulate suspensions, Granular Paste Extrusion, particle size distribution, Rheology, Particle-laden flow in semi-solid media, additive manufacturing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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