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Towards Fabrication Information Modeling (FIM): Four Case Models to Derive Designs informed by Multi-Scale Trans-Disciplinary Data

Published online by Cambridge University Press:  22 June 2015

Jorge Duro-Royo  and
Neri Oxman
Jorge Duro-Royo
Affiliation:
Massachustes Institute of Technology, Dept. of Architecture and Urban Panning, Media Lab, Mediated Matter Group, 75 Amherst St., Room E14-333, Cambridge, MA, 02142 U.S.A.
Neri Oxman*
Affiliation:
Massachustes Institute of Technology, Dept. of Architecture and Urban Panning, Media Lab, Mediated Matter Group, 75 Amherst St., Room E14-333, Cambridge, MA, 02142 U.S.A.
*
2Corresponding author’s email: neri@mit.edu
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Abstract

Despite recent advancements in digital fabrication and manufacturing, limitations associated with computational tools are preventing further progress in the design of non-standard architectures. This paper sets the stage for a new theoretical framework and an applied approach for the design and fabrication of geometrically and materially complex functional designs coined Fabrication Information Modeling (FIM). We demonstrate systems designed to integrate form generation, digital fabrication, and material computation starting from the physical and arriving at the virtual environment. The paper reviews four computational strategies for the design of custom systems through multi-scale trans-disciplinary data, which are classified and ordered by the level of overlap between the modeling media and the fabrication media: (1) the first model takes as input biological data and outputs 3D printed digital materials organized according to functional constraints; (2) the second model takes as input geometry and environmental data and outputs robotically wound fibers organized according to functional constraints; (3) the third model takes as input material and environmental data and outputs CNC deposited pastes organized according to functional constraints; (4) the forth model takes as input biological, material and environmental data and outputs robotically deposited polymers organized according to functional constraints. The analysis of these models will demonstrate the FIM approach and point towards its value to designers who seek to inform their work through multi-scale transdisciplinary data, a capability that is currently missing from standard design-to-fabrication workflows.

Keywords

structuralSustainabilityfiber
Type
Articles
Information
MRS Online Proceedings Library (OPL) , Volume 1800: Symposium NN – Adaptive Architecture and Programmable Matter―Next Generation Building Skins and Systems from Nano to Macro , 2015 , mrss15-2138549
Copyright
Copyright © Materials Research Society 2015 

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