3D Printing Facades (2023-05)¶

Design, Fabrication, and Assessment Methods

10.1016/j.autcon.2023.104918

Leschok Matthias, Cheibas Ina, Piccioni Valeria, Seshadri Bharath, Schlüter Arno, Gramazio Fabio, Kohler Matthias, Dillenburger Benjamin
Journal Article - Automation in Construction, Vol. 152

Abstract

This paper presents a state of the art review for 3D printed facades. In the review, three main topics are identified: (i) computational design strategies for 3D printed facades, (ii) fabrication processes and materials, and (iii) performance assessment. The design section displays computational tools and methods for design to production of 3D printed facades. The chapter fabrication processes, materials, and applications illustrates the technology potential for facade application sorted by material groups. The performance assessment section presents current approaches to evaluating and validating the performance of 3DP facades. Finally, knowledge gaps, challenges, and future trends are discussed to offer insights into leading-edge solutions for facade design and fabrication.

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41 References

26 Citations

BibTeX

@article{lesc_chei_picc_sesh.2023.3PF,
  author            = "Matthias Leschok and Ina Cheibas and Valeria Piccioni and Bharath Seshadri and Arno Schlüter and Fabio Gramazio and Matthias Daniel Kohler and Benjamin Dillenburger",
  title             = "3D Printing Facades: Design, Fabrication, and Assessment Methods",
  doi               = "10.1016/j.autcon.2023.104918",
  year              = "2023",
  journal           = "Automation in Construction",
  volume            = "152",
}

Formatted Citation

IEEE

M. Leschok, “3D Printing Facades: Design, Fabrication, and Assessment Methods”, Automation in Construction, vol. 152, 2023, doi: 10.1016/j.autcon.2023.104918.

CMOS

Leschok, Matthias, Ina Cheibas, Valeria Piccioni, Bharath Seshadri, Arno Schlüter, Fabio Gramazio, Matthias Daniel Kohler, and Benjamin Dillenburger. “3D Printing Facades: Design, Fabrication, and Assessment Methods”. Automation in Construction 152 (2023). https://doi.org/10.1016/j.autcon.2023.104918.