American Journal of Engineering and Applied Sciences

Structural Optimization for Materially Informed Design to Robotic Production Processes

H. Bier and S. Mostafavi

DOI : 10.3844/ajeassp.2015.549.555

American Journal of Engineering and Applied Sciences

Volume 8, Issue 4

Pages 549-555

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.

Copyright

© 2015 H. Bier and S. Mostafavi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.