Effect of Spiral Blade Geometry on 3D Printed Concrete Rheological Properties and Extrudability Using Discrete Event Modeling (2022-03)¶
, , Yang Qianfan, Kong Xiangrui,
Journal Article - Automation in Construction, Vol. 137
Abstract
Sizes and shapes of spiral blades have a great influence on 3D printable concrete construction. This study is presented to answer two research questions: How does spiral blade geometry affect rheological properties of 3D printing mixtures? What are effects of the rheological properties of 3D printing mixture on final extrudability? The discrete element model formed by particles bonded with liquid bridges is used to analyze the influence of 3D printer blade size, shape, and rotation speed on the extrudability of cement-based materials. It is demonstrated that effects of spiral blade geometry on rheological properties and resulting extrudability of 3D printing mixtures are considerable. The research results could be good references about geometry of spiral blades for 3D concrete printing industry. However, the microscopic time-varying constitutive model of particle bonding has not been generated in this paper. It might be one of the future research directions.
¶
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BibTeX
@article{zhi_wu_yang_kong.2022.EoSBGo3PCRPaEUDEM,
author = "Peng Zhi and Yuching Wu and Qianfan Yang and Xiangrui Kong and Jianzhuang Xiao",
title = "Effect of Spiral Blade Geometry on 3D Printed Concrete Rheological Properties and Extrudability Using Discrete Event Modeling",
doi = "10.1016/j.autcon.2022.104199",
year = "2022",
journal = "Automation in Construction",
volume = "137",
}
Formatted Citation
P. Zhi, Y. Wu, Q. Yang, X. Kong and J. Xiao, “Effect of Spiral Blade Geometry on 3D Printed Concrete Rheological Properties and Extrudability Using Discrete Event Modeling”, Automation in Construction, vol. 137, 2022, doi: 10.1016/j.autcon.2022.104199.
Zhi, Peng, Yuching Wu, Qianfan Yang, Xiangrui Kong, and Jianzhuang Xiao. “Effect of Spiral Blade Geometry on 3D Printed Concrete Rheological Properties and Extrudability Using Discrete Event Modeling”. Automation in Construction 137 (2022). https://doi.org/10.1016/j.autcon.2022.104199.