3D Concrete Printing (2022-11)¶
10.1109/iccakm54721.2022.9990494
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Contribution - Proceedings of the 3rd International Conference on Computation, Automation and Knowledge Management, pp. 1-5
Abstract
Nowadays, additive manufacturing is one of the leading research focuses in the construction sector. Among many established processes such as shotcrete, selective paste intrusion, and selective cement activation, extrusion processes represent the vast majority of methods used for large-scale printed building elements. Current extrusion processes use premixed concrete pumped through a hose, optionally accelerated at the nozzle, and then deposited. A new system approach, named Gradation-Ready Extrusion System (GRES), has been developed to exploit the benefits of additive manufacturing even better. It improves conventional extrusion by technically enabling the production of graded, multi-material building components, i.e., material properties can be varied within a single component. Thus, GRES enables sections to be made with different load-bearing capabilities or thermal conductivities. This in-situ gradation possibility significantly increases the potential use cases in concrete extrusion. GRES enables the continuous production of fresh concrete by metering and mixing raw materials directly before deposition (near-nozzle). Hence, avoiding long hose distances and the associated conflicting demands on material design; workability vs. buildability. The system design is based on material research, discrete element method simulations, and experimental prototype optimization. It comprises three sections – mixing, conveying, and compressing – each independently controllable by a programmable logic controller. Input values, for example, mix design and process parameters, are entered at the developed graphical user interface. Unlike existing extruding systems, with GRES, the concrete base mixture and its properties can be adjusted during the printing of complex geometries, resulting in multi-material graded concrete components optimized for loadbearing and insulation.
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12 References
- Kanagasuntharam Sasitharan, Ramakrishnan Sayanthan, Sanjayan Jay (2022-06)
Set-On Demand Concrete by Activating Encapsulated Accelerator for 3D Printing - Kloft Harald, Gehlen Christoph, Dörfler Kathrin, Hack Norman et al. (2021-01)
TRR 277:
Additive Manufacturing in Construction - Kloft Harald, Hack Norman, Mainka Jeldrik, Brohmann Leon et al. (2019-11)
Additive Manufacturing in Construction:
First 3D-Printed Reinforced Concrete Components Using Shotcrete 3D Printing (SC3DP) Technology - Lowke Dirk, Dini Enrico, Perrot Arnaud, Weger Daniel et al. (2018-07)
Particle-Bed 3D Printing in Concrete Construction:
Possibilities and Challenges - Muthukrishnan Shravan, Ramakrishnan Sayanthan, Sanjayan Jay (2021-06)
Technologies for Improving Buildability in 3D Concrete Printing - Muthukrishnan Shravan, Ramakrishnan Sayanthan, Sanjayan Jay (2022-02)
Set-on-Demand Geopolymer Using Print-Head Mixing for 3D Concrete Printing - Reiter Lex, Wangler Timothy, Anton Ana-Maria, Flatt Robert (2020-05)
Setting-on-Demand for Digital Concrete:
Principles, Measurements, Chemistry, Validation - Reiter Lex, Wangler Timothy, Roussel Nicolas, Flatt Robert (2018-06)
The Role of Early-Age Structural Build-Up in Digital Fabrication with Concrete - Roussel Nicolas (2018-05)
Rheological Requirements for Printable Concretes - Tan Yuan, Dahlenburg Maximilian, Fottner Johannes, Kessler Stephan (2022-04)
Influencing Factors of the Mixing Performance of a Near-Nozzle Continuous Mixer for 3D Concrete Printing:
An Analysis Based on Spatial-Lacey-Mixing-Index - 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 - Zhang Yu, Zhang Yunsheng, She Wei, Yang Lin et al. (2019-01)
Rheological and Hardened Properties of the High-Thixotropy 3D Printing Concrete
8 Citations
- Sabouni Reem, Martini Samer (2025-09)
Characterization of 3D Printed Concrete Mixtures Developed Using Local UAE Materials Based on Rheological Properties - Ramirez Rodriguez Fatima, Ahmad Rafiq (2025-09)
Sustainable Technology Advances for Additive Construction:
A State-of-the-Art Review - Slepicka Martin, Borrmann André (2024-09)
Fabrication Information Modeling for Closed-Loop Design and Quality Improvement in Additive Manufacturing for Construction - Kamhawi Abdallah, Meibodi Mania (2024-09)
Techniques and Strategies in Extrusion-Based 3D Concrete Printing of Complex Components to Prevent Premature Failure - Herding Friedrich, Lowke Dirk (2024-09)
Improving the Dimensional Accuracy in Selective Cement-Activation by w/c-Ratio Gradation - Wangler Timothy, Tao Yaxin, Das Arnesh, Mahmoudi Matineh et al. (2024-08)
Aluminate 2K Systems in Digital Concrete:
Process, Design, Chemistry, and Outlook - Hechtl Christian, Kränkel Thomas, Gehlen Christoph (2023-12)
Near‐Nozzle Mixing for Additive Manufacturing of Cementitious Mortar:
A Homogeneity Study - Briels David, Renz Mauritz, Nouman Ahmad, Straßer Alexander et al. (2023-10)
Monolithic AM Façade:
Multi-Objective Parametric Design-Optimization of Additively Manufactured Insulating Wall Elements
BibTeX
@inproceedings{dahl_hech_matt_fott.2022.3CP,
author = "Maximilian Dahlenburg and Christian Maximilian Hechtl and Carla Irmgard Ingeborg Matthäus and Johannes Fottner",
title = "3D Concrete Printing: Graded Concrete-Extrusion",
doi = "10.1109/iccakm54721.2022.9990494",
year = "2022",
pages = "1--5",
booktitle = "Proceedings of the 3rd International Conference on Computation, Automation and Knowledge Management",
}
Formatted Citation
M. Dahlenburg, C. M. Hechtl, C. I. I. Matthäus and J. Fottner, “3D Concrete Printing: Graded Concrete-Extrusion”, in Proceedings of the 3rd International Conference on Computation, Automation and Knowledge Management, 2022, pp. 1–5. doi: 10.1109/iccakm54721.2022.9990494.
Dahlenburg, Maximilian, Christian Maximilian Hechtl, Carla Irmgard Ingeborg Matthäus, and Johannes Fottner. “3D Concrete Printing: Graded Concrete-Extrusion”. In Proceedings of the 3rd International Conference on Computation, Automation and Knowledge Management, 1–5, 2022. https://doi.org/10.1109/iccakm54721.2022.9990494.