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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

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_id	ecaade2017_148
id	ecaade2017_148
authors	Baseta, Efilena, Sollazzo, Aldo, Civetti, Laura, Velasco, Dolores and Garcia-Amorós, Jaume
year	2017
title	Photoreactive wearable: A computer generated garment with embedded material knowledge - A computer generated garment with embedded material knowledge
doi	https://doi.org/10.52842/conf.ecaade.2017.2.317
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 317-326
summary	Driven by technology, this multidisciplinary research focuses on the implementation of a photomechanical material into a reactive wearable that aims to protect the body from the ultraviolet radiation deriving from the sun. In this framework, the wearable becomes an active, supplemental skin that not only protects the human body but also augments its functions, such as movement and respiration. The embedded knowledge enables the smart material to sense and exchange data with the environment in order to passively actuate a system that regulates the relation between the body and its surroundings in an attempt to maintain equilibrium. The design strategy is defined by 4 sequential steps: a) The definition of the technical problem, b) the analysis of the human body, c) the design of the reactive material system, as well as d) the digital simulations and the digital fabrication of the system. The aforementioned design strategies allow for accuracy as well as high performance optimization and predictability in such complex design tasks, enabling the creation of customized products, designed for individuals.
keywords	smart materials; wearable technology; data driven design; reactive garment; digital fabrication; performance simulations
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_210
id	ecaade2017_210
authors	Jimenez Garcia, Manuel, Soler, Vicente and Retsin, Gilles
year	2017
title	Robotic Spatial Printing
doi	https://doi.org/10.52842/conf.ecaade.2017.2.143
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 143-150
summary	There has been significant research into large-scale 3D printing processes with industrial robots. These were initially used to extrude in a layered manner. In recent years, research has aimed to make use of six degrees of freedom instead of three. These so called "spatial extrusion" methods are based on a toolhead, mounted on a robot arm, that extrudes a material along a non horizontal spatial vector. This method is more time efficient but up to now has suffered from a number of limiting geometrical and structural constraints. This limited the formal possibilities to highly repetitive truss-like patterns. This paper presents a generalised approach to spatial extrusion based on the notion of discreteness. It explores how discrete computational design methods offer increased control over the organisation of toolpaths, without compromising design intent while maintaining structural integrity. The research argues that, compared to continuous methods, discrete methods are easier to prototype, compute and manufacture. A discrete approach to spatial printing uses a single toolpath fragment as basic unit for computation. This paper will describe a method based on a voxel space. The voxel contains geometrical information, toolpath fragments, that is subsequently assembled into a continuous, kilometers long path. The path can be designed in response to different criteria, such as structural performance, material behaviour or aesthetics. This approach is similar to the design of meta-materials - synthetic composite materials with a programmed performance that is not found in natural materials. Formal differentiation and structural performance is achieved, not through continuous variation, but through the recombination of discrete toolpath fragments. Combining voxel-based modelling with notions of meta-materials and discrete design opens this domain to large-scale 3D printing. Please write your abstract here by clicking this paragraph.
keywords	discrete; architecture; robotic fabrication; large scale printing; software; plastic extrusion
series	eCAADe
email
last changed	2022/06/07 07:52

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