Topologically optimized and functionally graded cable nets: New approaches through robotic additive manufacturing

Tish, D; Schork, T; McGee, W

Topologically optimized and functionally graded cable nets: New approaches through robotic additive manufacturing

Tish, D

Schork, T

McGee, W

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Publication Type:: Conference Proceeding
Citation:: Recalibration on Imprecision and Infidelity - Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2018, 2018, pp. 260 - 265
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Tish, D https://orcid.org/0000-0003-3776-9748	en_US
dc.contributor.author	Schork, T https://orcid.org/0000-0002-4583-2439	en_US
dc.contributor.author	McGee, W	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Recalibration on Imprecision and Infidelity - Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2018, 2018, pp. 260 - 265	en_US
dc.identifier.isbn	9780692177297	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133305
dc.description.abstract	© CURRAN-CONFERENCE. All rights reserved. Recent advancements in the realm of additive manufacturing technologies have made it possible to directly manufacture the complex geometries that are resultant from topological optimization and functionally graded material processes. Topological optimization processes are well understood and widely used within the realm of structural engineering and have been increasingly adopted in architectural design and research. However, there has been little research devoted to the topological optimization of cable nets and their fabrication through robotic additive manufacturing. This paper presents a design framework for the optimization of additively manufactured tensile cable nets that attempts to bridge between these two domains by reframing the scale of topological optimization processes. Instead of focusing solely on the topology optimization at the macro-scale of cable nets, this research develops a method to optimize the meso-scale topology and defines metamaterial units with different properties that are to be aggregated into a complex whole. This reorientation from the formal towards the material domain signals an engagement with morphogenetic modes of design that find formal expression through bottom-up material processes. In order to further investigate the emerging potentials of this reorientation, the presented method is validated through physical deformation tests and applied to the design of a furniture-scale case study project realized through the use of robotic additive manufacturing of elastomeric materials.	en_US
dc.relation.ispartof	Recalibration on Imprecision and Infidelity - Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2018	en_US
dc.title	Topologically optimized and functionally graded cable nets: New approaches through robotic additive manufacturing	en_US
dc.type	Conference Proceeding
utslib.for	120104 Architectural Science and Technology (incl. Acoustics, Lighting, Structure and Ecologically Sustainable Design)	en_US
utslib.for	120101 Architectural Design	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© CURRAN-CONFERENCE. All rights reserved. Recent advancements in the realm of additive manufacturing technologies have made it possible to directly manufacture the complex geometries that are resultant from topological optimization and functionally graded material processes. Topological optimization processes are well understood and widely used within the realm of structural engineering and have been increasingly adopted in architectural design and research. However, there has been little research devoted to the topological optimization of cable nets and their fabrication through robotic additive manufacturing. This paper presents a design framework for the optimization of additively manufactured tensile cable nets that attempts to bridge between these two domains by reframing the scale of topological optimization processes. Instead of focusing solely on the topology optimization at the macro-scale of cable nets, this research develops a method to optimize the meso-scale topology and defines metamaterial units with different properties that are to be aggregated into a complex whole. This reorientation from the formal towards the material domain signals an engagement with morphogenetic modes of design that find formal expression through bottom-up material processes. In order to further investigate the emerging potentials of this reorientation, the presented method is validated through physical deformation tests and applied to the design of a furniture-scale case study project realized through the use of robotic additive manufacturing of elastomeric materials.

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http://hdl.handle.net/10453/133305