Back to Search Start Over

Employing mesh segmentation algorithms as fabrication strategies: Pattern generation based on reaction-diffusion mechanism

Authors :
Giannopoulou Effimia
Baquero Pablo
Warang Angad
Orciuoli Affonso
Estévez Alberto T.
Brun-Usan Miguel A.
Source :
FME Transactions, Vol 47, Iss 2, Pp 379-386 (2019)
Publication Year :
2019
Publisher :
University of Belgrade - Faculty of Mechanical Engineering, Belgrade, 2019.

Abstract

This paper examines how the evolution of architectural generative design processes aim to apply similar physical and geometrical principles of biological processes taking place during development and to translate them to fabrication processes. In analogy to the reaction-diffusion mechanism for biological pattern prediction, the logic of stripe is used as construction system and examined for its structural behaviour. Both, mesh relaxation processes and weighted mesh graphs representations are employed as design tools for the construction of a minimal thin shell structural skin with branching topologies. Eventually the design workflow is extended to engage also collaborative fabrication processes and to steer the design based on intuition, knowledge of the fabrication tools, properties of the materials, manufacturing simulations and logic of assemble. This approach could lead to the optimization of material usage and machine time and facilitate the assembly process of a physical object which integrates the whole process into its form. The outcomes have been used to fabricate a prototype, using three different materials and digital fabrication methods, to examine the stability and the mechanical connectivity by taking in count the tolerances. The paper argues that biological skin patterns and segmentation in fabrication open a new field of interdisciplinary investigation and architectural applications.

Details

Language :
English
ISSN :
14512092 and 2406128X
Volume :
47
Issue :
2
Database :
Directory of Open Access Journals
Journal :
FME Transactions
Publication Type :
Academic Journal
Accession number :
edsdoj.35e01fdadff647a5bf0cdc1d4e7e09f7
Document Type :
article