Print Email Facebook Twitter Informed Design to Robotic Production Systems; Developing Robotic 3D Printing System for Informed Material Deposition Title Informed Design to Robotic Production Systems; Developing Robotic 3D Printing System for Informed Material Deposition Author Mostafavi, S. Bier, H. Bodea, S. Anton, A.M. Faculty Architecture and The Built Environment Department Architectural Engineering and Technology Date 2015-09-16 Abstract This paper discusses the development of an informed Design-to-Robotic-Production (D2RP) system for additive manufacturing to achieve performative porosity in architecture at various scales. An extended series of experiments on materiality, fabrication and robotics were designed and carried out resulting in the production of a one-to-one scale prototype. In this context, design materiality has been approached from both digital and physical perspectives. At digital materiality level, a customized computational design framework is implemented for form finding of compression only structures combined with a material distribution optimization method. Moreover, the chained connection between parametric design model and robotic production setup has led to a systematic study of certain aspects of physicality that cannot be fully simulated in the digital medium, which then establish a feedback loop for underrating material behaviors and properties. As a result, the D2RP system proposes an alternative method of robotic material deposition to create an informed material architecture Subject Informed DesignRobotic 3D PrintingPorosityMaterial-ArchitectureDesign to Production To reference this document use: http://resolver.tudelft.nl/uuid:02bf0811-41f0-4ac9-a270-af796fc77c7c Publisher Vienna University of Technology Source Real Time; Proceedings of the 33rd eCAADe Conference. Vol. 2. Vienna (Austria), 16-18 Sept. 2015 Part of collection Institutional Repository Document type conference paper Rights (c)2015 The Authors Files PDF ecaade2015_129.content.pdf 8.96 MB Close viewer /islandora/object/uuid:02bf0811-41f0-4ac9-a270-af796fc77c7c/datastream/OBJ/view