Nozzle-Integrated Slump-Scanner-Test (2024-09)¶
10.24355/dbbs.084-202408150646-0
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Contribution - Supplementary Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication
Abstract
In the process of set-on-demand 3D Concrete Printing (3DCP) construction, maintaining consistent extrusion quality and ensuring that the extruded concrete layers possess sufficient yield stress to support their self-weight is critical. This shape retention capability is a fundamental requirement for the stability of the printed geometry and adherence to the intended print design. Prevalent methods for assessing the shape stability of stiff printed layers, such as comparing the shape of extruded layer with the dimensions of the nozzle, may have limited applicability for the set-on-demand mixtures. With the advancing research and growing interest in 3DCP for set-on-demand mixtures, there is an increasing demand for swift, inline, automated testing methods to assess extruded concrete’s quality, yield stress and shape stability in real-time. In this context, the globally recognized slump test, a standard test for evaluating concrete’s shape retention under self-weight, offers a promising foundation. Leveraging the concrete industry’s familiarity with this test and its well-established correlations with concrete rheology, this study introduces a novel testing system based on the slump test. This system utilizes a customized nozzle to extrude concrete into layers that mimic the geometry of concrete specimens used in the slump test. This study uses depth sensors for generating 3D images of the concrete slump flow and calculates the instantaneous yield stress. The developed system’s performance is validated though real-time printing and monitoring of the slump and shape stability of the concrete printed layers. The developed test is an economical, inline, and automated quality control system.
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4 References
- Jhun Jihye, Lee Dong-Hyun, Rehman Atta, Kang Seungwoo et al. (2024-05)
Development of a Real-Time Geometric Quality Monitoring System for Extruded Filaments of 3D Concrete Printing Construction - Kazemian Ali, Khoshnevis Behrokh (2021-08)
Real-Time Extrusion-Quality-Monitoring-Techniques for Construction 3D Printing - Rehman Atta, Kim Ik-Gyeom, Kim Jung-Hoon (2024-01)
Towards Full Automation in 3D Concrete Printing Construction:
Development of an Automated and In-Line Test-Method for In-Situ Assessment of Structural Build-Up and Quality of Concrete - Rehman Atta, Perrot Arnaud, Birru Bizu, Kim Jung-Hoon (2023-09)
Recommendations for Quality-Control in Industrial 3D Concrete Printing Construction with Mono-Component Concrete:
A Critical Evaluation of Ten Test-Methods and the Introduction of the Performance-Index
0 Citations
BibTeX
@inproceedings{rehm_kang_kim.2024.NISST,
author = "Atta Ur Rehman and Seungwoo Kang and Jung-Hoon Kim",
title = "Nozzle-Integrated Slump-Scanner-Test: Development of an Automated Shape-Stability and Instantaneous Yield-Stress-Measurement-Method for the Set-on-Demand 3D Concrete Printing",
doi = "10.24355/dbbs.084-202408150646-0",
year = "2024",
booktitle = "Supplementary Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication",
editor = "Dirk Lowke and Niklas Freund and David Böhler and Friedrich Herding",
}
Formatted Citation
A. U. Rehman, S. Kang and J.-H. Kim, “Nozzle-Integrated Slump-Scanner-Test: Development of an Automated Shape-Stability and Instantaneous Yield-Stress-Measurement-Method for the Set-on-Demand 3D Concrete Printing”, in Supplementary Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication, 2024. doi: 10.24355/dbbs.084-202408150646-0.
Rehman, Atta Ur, Seungwoo Kang, and Jung-Hoon Kim. “Nozzle-Integrated Slump-Scanner-Test: Development of an Automated Shape-Stability and Instantaneous Yield-Stress-Measurement-Method for the Set-on-Demand 3D Concrete Printing”. In Supplementary Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication, edited by Dirk Lowke, Niklas Freund, David Böhler, and Friedrich Herding, 2024. https://doi.org/10.24355/dbbs.084-202408150646-0.