Influencing Factors of the Mixing Performance of a Near-Nozzle Continuous Mixer for 3D Concrete Printing (2022-04)¶
, , , Kessler Stephan
Journal Article - Powder Technology, Vol. 403
Abstract
3D concrete printing, as a vital constructionmethod for future development, has lately received significant attention. Unlike classic pumped concrete material extrusion process, a near-nozzle continuous mixer reduces mixing energy by eliminating long conveying distances. However, there has been limited research on itmixing quality. In the study, the first mixing phase ofan innovative near-nozzle continuous mixer is explored by full-scale numerical simulation. In order to improve the mixing process of additive 3D concrete printing, it is necessary to compare the mixing efficiencies and performances of continuous mixers with different configurations under various working conditions. Sixty cases with four parameters (sideward angle, the number of paddles, rotation speed, and mixture's composition ratio in different levels) are analyzed in the discrete element method (DEM) simulation. The influences of these parameters on overall and local mixing performances are determined with the modified Lacey mixing index, the spatial Lacey mixing index (SLMI). For unequal particles introduced in this study, SLMl is combined with the equivalent volume method. Qualitative and quantitative analysis results reveal that the four-15°-paddle conveyor mixer performs better above a certain rotation speed, regardless of the mixture's composition ratio. This paper increases the understanding of the mixing process for preparing well-mixed dry materials in a continuous conveying state, which is crucial for efficient near-nozzle mixing in 3D concrete dosing.
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1 References
6 Citations
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Effects of 3D-Printed Concrete Permanent Formwork on the Flexural Behavior of Reinforced Concrete Beams:
Experimental and Analytical Investigations - Dörfler Kathrin, Dielemans Gido, Leutenegger Stefan, Jenny Ercan et al. (2024-09)
Advancing Construction in Existing Contexts:
Prospects and Barriers of 3D Printing with Mobile Robots for Building Maintenance and Repair - Li Chao, Zahedi Ata, Petzold Frank (2022-11)
Pragmatic Design Decision Support for Additive Construction Using Formal Knowledge and Its Prospects for Synergy with a Feedback Mechanism - Dahlenburg Maximilian, Hechtl Christian, Matthäus Carla, Fottner Johannes (2022-11)
3D Concrete Printing:
Graded Concrete-Extrusion - Kloft Harald, Dörfler Kathrin, Bährens Meike, Dielemans Gido et al. (2022-09)
The Research Infrastructure of the SFB TRR 277 AMC:
Additive Manufacturing in Construction - Dörfler Kathrin, Dielemans Gido, Lachmayer Lukas, Recker Tobias et al. (2022-06)
Additive Manufacturing Using Mobile Robots:
Opportunities and Challenges for Building Construction
BibTeX
@article{tan_dahl_fott_kess.2022.IFotMPoaNNCMf3CP,
author = "Yuan Tan and Maximilian Dahlenburg and Johannes Fottner and Stephan Kessler",
title = "Influencing Factors of the Mixing Performance of a Near-Nozzle Continuous Mixer for 3D Concrete Printing: An Analysis Based on Spatial-Lacey-Mixing-Index",
doi = "10.1016/j.powtec.2022.117414",
year = "2022",
journal = "Powder Technology",
volume = "403",
}
Formatted Citation
Y. Tan, M. Dahlenburg, J. Fottner and S. Kessler, “Influencing Factors of the Mixing Performance of a Near-Nozzle Continuous Mixer for 3D Concrete Printing: An Analysis Based on Spatial-Lacey-Mixing-Index”, Powder Technology, vol. 403, 2022, doi: 10.1016/j.powtec.2022.117414.
Tan, Yuan, Maximilian Dahlenburg, Johannes Fottner, and Stephan Kessler. “Influencing Factors of the Mixing Performance of a Near-Nozzle Continuous Mixer for 3D Concrete Printing: An Analysis Based on Spatial-Lacey-Mixing-Index”. Powder Technology 403 (2022). https://doi.org/10.1016/j.powtec.2022.117414.