Residence-Time-Distribution Evaluation Method for In-Line Mixing Processes in Digital Concrete (2024-09)¶
, , Garger Moritz,
Contribution - Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication, pp. 83-90
Abstract
The application of digital manufacturing technologies in the construction industry has shown rapid development in recent years. Digital concrete fabrication enables efficient design options with the increased shape of freedom by removing traditional formwork. Also, unlike the traditional concrete process, which is labor-intensive, digital fabrication technology primarily aims to enhance the productivity rate through digitalization. Most digital fabrication processes require pumping, placement, and then the subsequent buildup of strength after placement. This final requirement, often called buildability, often relies on controlling hydration to increase building rates through the addition of an activator or set accelerator. Adding an activator into ‘an inline mixing system’ introduces the additional requirement of controlling the mixing inside the inline mixer. In inline mixing, the distribution of the accelerator through mixing gains importance in monitoring building rates and selecting proper parameters such as accelerator dosage, flow rate of concrete, and inline mixing speed. To comprehend the mixing patterns within the inline mixer, it is essential to assess the residence time distributions of the accelerator. This research introduces a novel approach employing cost-effective and user-friendly image analysis. In contrast to techniques using μXRF and SEM-EDX, which require a higher degree of sample preparation and enable investigation of only small surface areas, the image analysis proposed allows for the examination of the entire sample area, giving a faster and more complete picture of mixing behavior.
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5 References
- Lloret-Fritschi Ena, Quadranti Elia, Scotto Fabio, Fuhrimann Lukas et al. (2022-05)
Additive Digital Casting:
From Lab to Industry - Reiter Lex, Wangler Timothy, Anton Ana-Maria, Flatt Robert (2020-05)
Setting-on-Demand for Digital Concrete:
Principles, Measurements, Chemistry, Validation - Tao Yaxin, Rahul Attupurathu, Lesage Karel, Yuan Yong et al. (2021-02)
Stiffening Control of Cement-Based Materials Using Accelerators in In-Line Mixing Processes:
Possibilities and Challenges - Wangler Timothy, Pileggi Rafael, Gürel Şeyma, Flatt Robert (2022-03)
A Chemical Process Engineering Look at Digital Concrete Processes:
Critical Step Design, In-Line Mixing, and Scale-Up - Wangler Timothy, Scotto Fabio, Lloret-Fritschi Ena, Flatt Robert (2019-09)
Residence-Time-Distributions in Continuous Processing of Concrete
0 Citations
BibTeX
@inproceedings{gure_wang_garg_flat.2024.RTDEMfILMPiDC,
author = "Şeyma Gürel and Timothy Paul Wangler and Moritz Garger and Robert Johann Flatt",
title = "Residence-Time-Distribution Evaluation Method for In-Line Mixing Processes in Digital Concrete",
doi = "10.1007/978-3-031-70031-6_10",
year = "2024",
volume = "53",
pages = "83--90",
booktitle = "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
Ş. Gürel, T. P. Wangler, M. Garger and R. J. Flatt, “Residence-Time-Distribution Evaluation Method for In-Line Mixing Processes in Digital Concrete”, in Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication, 2024, vol. 53, pp. 83–90. doi: 10.1007/978-3-031-70031-6_10.
Gürel, Şeyma, Timothy Paul Wangler, Moritz Garger, and Robert Johann Flatt. “Residence-Time-Distribution Evaluation Method for In-Line Mixing Processes in Digital Concrete”. In Proceedings of the 4th RILEM International Conference on Concrete and Digital Fabrication, edited by Dirk Lowke, Niklas Freund, David Böhler, and Friedrich Herding, 53:83–90, 2024. https://doi.org/10.1007/978-3-031-70031-6_10.