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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	caadria2019_648
id	caadria2019_648
authors	Schumann, Kyle and Johns, Ryan Luke
year	2019
title	Airforming - Adaptive Robotic Molding of Freeform Surfaces through Incremental Heat and Variable Pressure
doi	https://doi.org/10.52842/conf.caadria.2019.1.033
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 33-42
summary	Advances in computational modelling and digital fabrication have created both the need and ability for novel strategies of bringing digitally modeled doubly curved surfaces into reality. In this paper, we introduce airforming as a non-contact and formwork-free method for fabricating digitally designed surfaces through the iterative robotic application of heat and air pressure, coupled with sensory feedback. The process lies somewhere between incremental metal fabrication and traditional vacuum forming of plastics. Airforming does not add or subtract material or use any mold or formwork materials that would typically be discarded as waste. Instead, airforming shapes a plastic sheet through the controlled spatial application of heat and the control of pressure and vacuum within an airtight chamber beneath the material. Through our research, we develop and test a method for airforming through 3D scanning and point cloud analysis, evolutionary physics simulation solvers, and robotic-aided actuation and control of heating and pressure systems. Different variations and analysis and workflow methods are explored. We demonstrate and posit potential future applications for the airforming method.
keywords	Robotic Production; Digital Fabrication; Incremental Forming; Thermoforming; Freeform Surface
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_106
id	caadria2019_106
authors	Dritsas, Stylianos, Vijay, Yadunund, Teo, Ryan, Halim, Samuel, Sanandiya, Naresh and Fernandez, Javier G.
year	2019
title	Additive Manufacturing with Natural Composites - From material intelligence to informed digital fabrication
doi	https://doi.org/10.52842/conf.caadria.2019.2.263
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 263-272
summary	We present results on the development of a sustainable digital manufacturing technology, discuss the challenges associated with additive manufacturing with natural materials, how statistical modelling techniques enabled understanding the intricate relationship between material and fabrication and allowed to control material extrusion. We present a prototype created to assess the ability of the process to create large-scale artifacts. We believe steps towards advancing methods for environmentally-aware digital fabrication may pave the way in transforming the industry and society towards more sustainable production and consumption paradigms.
keywords	Digital Fabrication; Bioinspired Materials
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2019_104
id	caadria2019_104
authors	Johan, Ryan, Chernyavsky, Michael, Fabbri, Alessandra, Gardner, Nicole, Haeusler, M. Hank and Zavoleas, Yannis
year	2019
title	Building Intelligence Through Generative Design - Structural analysis and optimisation informed by material performance
doi	https://doi.org/10.52842/conf.caadria.2019.1.371
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 371-380
summary	Generative design (GD) is the process of defining high-level goals and constraints and then using computation to automatically explore a range of solutions that meet the desired requirements. Generative processes are intelligent ways to fast-track early design stages. The outcomes are analyzed simultaneously to inform decisions for architects and engineers. Whilst material properties have been defined as a driving agent within generative systems to calculate structure, material performance or structural capacity are not linked with early decision-making. In response, this paper sets a constrained approach upon traditional and non-traditional materials to validate the feasibility of structures. A GD tool is developed within Grasshopper using C-sharp, Karamaba3D, Galapagos and various engineering formulas. The result is a script, which prioritizes the structural qualities of material as a driving factor within generative systems and facilitates communication across different expertise.
keywords	Intelligent systems; generative design; material properties; structural analysis; evolutionary algorithms
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia20_148p
id	acadia20_148p
authors	Vansice, Kyle; Attraya, Rahul; Culligan, Ryan; Johnson, Benton; Sondergaard, Asbjorn; Peters, Nate
year	2020
title	Stereoform Slab
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 148-153
summary	Stereoform Slab is both a pavilion and a prototype - an exhibition for the 2019 Chicago Architectural Biennial. It is an experiment in how digital form-finding and robotics can be leveraged to rethink the future of concrete construction. Stereoform Slab examines the role of one of the most ubiquitous horizontal elements in the city - the concrete slab, also the most common element in contemporary construction. Using smarter forming systems - in this case, a ruled-surface-derived, robotic hotwire process - the Stereoform Slab prototype proved that the amount of material used and waste generated could be minimized without increasing construction complexity, by about 20% over a conventional system. Stereoform also extends the conventional concrete span (column spacing), specifically in Chicago, from 30’ to 45’. In developing a concrete forming system that affords added flexibility without increasing construction costs, it is possible to reduce embodied carbon significantly. The method allows reducing carbon in buildings that aren’t typically the subject of advanced architectural design or rigorous optimization – conventional buildings that compose a majority of our built environment, and its respective contributions to global carbon emissions. Stereoform is the result of a multi-objective design optimization process. Optimal materialization, according to the compressive/tensile physics present in beam design, was balanced against the fabrication constraints of a singularly ruled-surface, which enables fast form-making using robotic hotwire cutting. SOM and Autodesk collaborated to mirror the approach developed to optimize Stereoform slab as a pavilion, to the building scale, using the multi-objective optimization platform Refinery. Project Refinery allowed the team to create a hyper-responsive system design that could adapt to any number of varying programmatic conditions and loading patterns. The development of this approach is a crucial step in making optimization techniques flexible enough to balance the number of competing parameters in the design process available and accessible to a broader design audience within architecture and engineering.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

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