Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145795
Title: Rotation nozzle and numerical simulation of mass distribution at corners in 3D cementitious material printing
Authors: Liu, Zhixin
Li, Mingyang
Tay, Daniel Yi Wei
Weng, Yiwei
Wong, Teck Neng
Tan, Ming Jen
Keywords: Engineering::Manufacturing::Production management
Engineering::Manufacturing::Product engineering
Issue Date: 2020
Source: Liu, Z., Li, M., Tay, D. Y. W., Weng, Y., Wong, T. N., & Tan, M. J. (2020). Rotation nozzle and numerical simulation of mass distribution at corners in 3D cementitious material printing. Additive Manufacturing, 34, 101190-. doi:10.1016/j.addma.2020.101190
Journal: Additive Manufacturing 
Abstract: When conducting corner printing with rotational rectangular nozzle, a greater amount of material is deposited inside the filament and hence tearing and skewing will occur on the surface of the printed filament. With the aim of maintaining the surface finish and mechanical properties of the printed filament, a 3D numerical model is developed to study the flow mechanism at a corner under various conditions during the extrusion and deposition processes with rotational nozzle. After experimental validation, the numerical model is employed to study the material flow mechanism under various conditions. The results indicate that the rheological properties have little effect on the mass distribution ratio. However, a high relative nozzle travel speed, larger corner radii and lower nozzle aspect ratio is a promising route in obtaining a uniform material distribution ratio. The interlinking of process parameters affects the material distribution ratio significantly as well. Furthermore, the importance of the factors that affect the mass distribution was determined quantitatively.
URI: https://hdl.handle.net/10356/145795
ISSN: 2214-7810
DOI: 10.1016/j.addma.2020.101190
Rights: © 2020 Elsevier B.V. All rights reserved. This paper was published in Additive Manufacturing and is made available with permission of Elsevier B.V.
Fulltext Permission: embargo_20221231
Fulltext Availability: With Fulltext
Appears in Collections:SC3DP Journal Articles

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  Until 2022-12-31
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