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Enhancing the Mix Design in 3D Concrete Printing Through Systematic Optimization Process (2025-06)

10.1007/978-3-031-92029-5_3

 Irshidat Mohammad, Amjad Umar, Kumar Kishor, John John, Albeitjali Naeem, Rizmin Khadeejath
Contribution - Proceedings of the International Conferences on Digital Technology Driven Engineering 2024, pp. 22-33

Abstract

3D printing of concrete has emerged as a promising technology in the construction industry, offering faster and more efficient building processes. However, the mix design heavily influences the success of 3D-printed concrete. The mix design of the concrete has a direct impact on the printed structure's printability, mechanical properties, and overall quality. A comprehensive understanding of different mix designs is crucial for optimizing 3D printing processes and achieving high-performance concrete structures. The major challenge in concrete printing is to identify and maintain the mixture characteristics suitable for printing and stacking up in layers. The mix design includes the selection of suitable materials, proportions, and additives to achieve the desired rheological properties that facilitate extrusion and layering during the printing process. Different mix designs may vary in terms of their composition, particle size distribution, water-to-cement ratio, admixtures, and curing methods. A comprehensive search in the literature was conducted to identify various mix designs that could be employed when printing cementitious materials. The literature review revealed that mix designs for 3D printing of concrete can vary significantly in terms of their composition and properties. Some mix designs use traditional materials such as Portland cement, sand, and aggregates, while others incorporate innovative materials like silica fume or fly ash to improve strength and durability. Furthermore, the use of admixtures such as superplasticizers can enhance the workability of the concrete mixture, allowing for easier extrusion and improved rheological properties. In addition to the composition and materials used, the proportions of each component also play a crucial role in the mix design. The water-to-cement ratio is an important parameter that affects the workability and strength of the printed concrete. Different mix designs may have varying water-to-cement ratios to achieve the desired consistency for printing. Moreover, the particle size distribution of the aggregates and fillers can also impact the flowability and packing density of the concrete mixture. Comparing different mix designs, it can be observed that mix designs incorporating silica fume and superplasticizer have been found to exhibit favorable rheological properties for 3D printing of concrete. These mix designs have shown improved workability, reduced viscosity, and enhanced printability compared to traditional mix designs.

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0 Citations

BibTeX
@inproceedings{irsh_amja_kuma_john.2025.EtMDi3CPTSOP,
  author            = "Mohammad R. Irshidat and Umar Amjad and Kishor Kumar and John John and Naeem Albeitjali and Khadeejath Rizmin",
  title             = "Enhancing the Mix Design in 3D Concrete Printing Through Systematic Optimization Process",
  doi               = "10.1007/978-3-031-92029-5_3",
  year              = "2025",
  volume            = "646",
  pages             = "22--33",
  booktitle         = "Proceedings of the International Conferences on Digital Technology Driven Engineering 2024",
  editor            = "Nikos D. Lagaros and Savvas P. Triantafyllou and Rajai Z. Alrousan and Mohammad Alhassan and Khairedin M. Abdalla",
}
Formatted Citation

M. R. Irshidat, U. Amjad, K. Kumar, J. John, N. Albeitjali and K. Rizmin, “Enhancing the Mix Design in 3D Concrete Printing Through Systematic Optimization Process”, in Proceedings of the International Conferences on Digital Technology Driven Engineering 2024, 2025, vol. 646, pp. 22–33. doi: 10.1007/978-3-031-92029-5_3.

Irshidat, Mohammad R., Umar Amjad, Kishor Kumar, John John, Naeem Albeitjali, and Khadeejath Rizmin. “Enhancing the Mix Design in 3D Concrete Printing Through Systematic Optimization Process”. In Proceedings of the International Conferences on Digital Technology Driven Engineering 2024, edited by Nikos D. Lagaros, Savvas P. Triantafyllou, Rajai Z. Alrousan, Mohammad Alhassan, and Khairedin M. Abdalla, 646:22–33, 2025. https://doi.org/10.1007/978-3-031-92029-5_3.