Research Article Open Access

Structural Optimization for Materially Informed Design to Robotic Production Processes

H. Bier1 and S. Mostafavi1
  • 1 Hyperbody-Robotic Building, The Netherlands

Abstract

Hyperbody’s materially informed Design-to-Robotic-Production (D2RP) processes for additive and subtractive manufacturing aim to achieve performative porosity in architecture at various scales. An extended series of D2RP experiments aiming to produce prototypes at 1:1 scale wherein design materiality has been approached from both digital and physical perspectives were recently implemented. At digital materiality level, a customized computational design framework for compression only structures has been developed, which was directly linked to the robotic production setup. This has enabled the systematic study of physical materiality, which cannot be fully simulated in the digital medium. The established feedback loop ensured not only the development of an understanding for material properties in relation to their simulated and real behaviours but also allowed to robotically additively deposit and/or subtractively remove material in order to create informed material architectures at 1:1 scale.

American Journal of Engineering and Applied Sciences
Volume 8 No. 4, 2015, 549-555

DOI: https://doi.org/10.3844/ajeassp.2015.549.555

Submitted On: 27 July 2015 Published On: 11 September 2015

How to Cite: Bier, H. & Mostafavi, S. (2015). Structural Optimization for Materially Informed Design to Robotic Production Processes. American Journal of Engineering and Applied Sciences, 8(4), 549-555. https://doi.org/10.3844/ajeassp.2015.549.555

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Keywords

  • Materially Informed Design
  • Robotic Production
  • Topological Optimization
  • Material Behavior