CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id acadia16_332
authors Retsin, Gilles; Garcia, Manuel Jimenez
year 2016
title Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 332-341
summary The research presented in this paper is part of a larger, emerging body of research into large-scale 3D printing. The research attempts to develop a computational design method specifically for large-scale 3D printing of architecture. Influenced by the concept of Digital Materials, this research is situated within a critical discussion of what fundamentally constitutes a digital object and process. This requires a holistic understanding, taking into account both computational design and fabrication. The intrinsic constraints of the fabrication process are used as opportunities and generative drivers in the design process. The paper argues that a design method specifically for 3D printing should revolve around the question of how to organize toolpaths for the continuous addition or layering of material. Two case-study projects advance discrete methods as efficient ways to compute a continuous printing process. In contrast to continuous models, discrete models allow users to serialize problems and errors in toolpaths. This allows a local optimization of the structure, avoiding the use of global, computationally expensive, problem-solving algorithms. Both projects make use of a voxel-based approach, where a design is generated directly from the combination of thousands of serialized toolpath fragments. The understanding that serially repeated elements can be assembled into highly complex and heterogeneous structures has implications stretching beyond 3D printing. This combinatorial approach for example also becomes highly valuable for construction systems based on modularity and prefabrication.
keywords prgrammable materials, simulation and design optimization, digital fabrication, big data
series ACADIA
type paper
email jg.manuel@gmail.com
full text file.pdf (1,247,947 bytes)
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100%; open Carpo, Mario (2014) Find in CUMINCAD Breaking the Curve: Big Data and Design , Artforum, February. 169173
100%; open Dillenburger, Benjamin, and Michael Hansmeyer (2014) Find in CUMINCAD Printing Architecture: Castles Made of Sand , Fabricate: Negotiating Design and Making, edited by Fabio Gramazio, Matthias Kohler, and Silke Langenberg. Zurich: ETH. 9297
100%; open Gershenfeld, Neil, Matthew Carney, Benjamin Jenett, Sam Calisch, and Spencer Wilson (2015) Find in CUMINCAD Macrofabrication with Digital Materials: Robotic Assembly , Architectural Design 85 (5): 122127
100%; open Hack, Norman, and Willi V. Lauer (2014) Find in CUMINCAD Mesh-Mould: Robotically Fabricated Spatial Meshes as Reinforced Concrete , Architectural Design 84 (3): 4453
100%; open Leach, Neil (2015) Find in CUMINCAD There is No Such Thing as a Political Architecture; There is no Such Thing as Digital Architecture , The Politics of Parametricism: Digital Technologies in Architecture, edited by Matthew Poole and Manuel Shvartzberg. New York: Bloomsbury. 5878.
100%; open Ward, Jonathan (2010) Find in CUMINCAD Additive Assembly of Digital Materials , PhD Thesis, Massachusetts Institute of Technology

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