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Civil-Comp Conferences
ISSN 2753-3239 CCC: 6
PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Ivanyi, J. Kruis and B.H.V. Topping
Paper 4.4
Measurement of the density of formed structures for concrete 3D printing Z.B. Zuo1,2, W. De Corte1, Y.L. Huang2, L.L. Zhang2, J. Li3and Y. Yuan4
1Faculty of Engineering and Architecture, Ghent University,
Ghent, Belgium
Z.B. Zuo, W. De Corte, Y.L. Huang, L.L. Zhang, J. Li, Y. Yuan, "Measurement of the density of formed structures for concrete 3D printing", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on
Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 6, Paper 4.4, 2023, doi:10.4203/ccc.6.4.4
Keywords: concrete 3D printing, formed structures, density, experimental device,
calculation method, measurement method.
Abstract
As one of the core parameters of three-dimensional (3D) printing, the density of
formed structures directly governs the quality and performance of printed buildings
or components. Therefore, it is critical to measure the density during printing. Here,
we propose a density measurement system (DMS) and computational method for
formed structures during concrete 3D printing (C3DP). The DMS includes a real-time
weight monitoring system and software, and a 3D laser scanning system for measuring
the volume of the formed structures. The corresponding method introduces parameters
such as printing time, mass printing speed and relative density. Several 3D printing
indoor experiments were conducted to illustrate the DMS and method. Experimental
results show that the density of the formed structures during 3D printing can be
measured quickly, quantitatively and with high accuracy. The density of the formed
structures ranged from 2016 to 2179 kg/m3, with an average value of 2068 kg/m3.
These results can provide a basis for evaluating the uniformity and quality of formed
structures, as well as support the monitoring and feedback control of the process
parameters during 3D printing, including printing time gap, printing speed, and mass
printing speed.
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