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Geopolymer Composites for 3D Printing Applications (2024-10)

A Statistical Analysis Approach

10.1007/978-981-97-8345-8_4

Youssef Passant, el Feky Muhammad, Ragab Ahmed, Serag Mohamed
Contribution - Proceedings of the ICSDI 2024 Volume 3, pp. 23-31

Abstract

In this research, a groundbreaking statistical design methodology is introduced for the optimization of geo-polymer concrete mixes suitable for 3D printing. The study delves into the influence of five key parameters, including fine aggregate size and type, binder type (slag or metakaolin) and ratio, and alkaline solution amount and ratio (NaOH:Na2SiO3). By conducting a full factorial analysis, the individual and interactive effects of these parameters on crucial quality attributes are thoroughly examined. To strike a balance between workability and mechanical properties, a multi-objective optimization problem is formulated. Leveraging established regression models, the optimal combination of factors that satisfy this complex balance is identified, taking into account the study's inherent constraints.

4 References

  1. Khoshnevis Behrokh (2003-11)
    Automated Construction by Contour Crafting:
    Related Robotics and Information Technologies
  2. Youssef Passant, Feky Muhammad, Ragab Ahmed, Serag Mohamed (2024-04)
    Characterization of Geopolymer Composites for 3D Printing:
    A Microstructure Approach
  3. Zareiyan Babak, Khoshnevis Behrokh (2017-08)
    Effects of Interlocking on Inter-Layer Adhesion and Strength of Structures in 3D Printing of Concrete
  4. Zhu Binrong, Pan Jinlong, Nematollahi Behzad, Zhou Zhenxin et al. (2019-07)
    Development of 3D Printable Engineered Cementitious Composites with Ultra-High Tensile Ductility for Digital Construction

0 Citations

BibTeX 
@inproceedings{yous_feky_raga_sera.2025.GCf3PA,
  author            = "Passant Youssef and Muhammad S. El Feky and Ahmed M. Ragab and Mohamed I. Serag",
  title             = "Geopolymer Composites for 3D Printing Applications: A Statistical Analysis Approach",
  doi               = "10.1007/978-981-97-8345-8_4",
  year              = "2025",
  volume            = "558",
  pages             = "23--31",
  booktitle         = "Proceedings of the ICSDI 2024 Volume 3",
}
Formatted Citation

P. Youssef, M. S. E. Feky, A. M. Ragab and M. I. Serag, “Geopolymer Composites for 3D Printing Applications: A Statistical Analysis Approach”, in Proceedings of the ICSDI 2024 Volume 3, 2025, vol. 558, pp. 23–31. doi: 10.1007/978-981-97-8345-8_4.

Youssef, Passant, Muhammad S. El Feky, Ahmed M. Ragab, and Mohamed I. Serag. “Geopolymer Composites for 3D Printing Applications: A Statistical Analysis Approach”. In Proceedings of the ICSDI 2024 Volume 3, 558:23–31, 2025. https://doi.org/10.1007/978-981-97-8345-8_4.