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 ecaade2024_361
id ecaade2024_361
authors Sochůrková, Petra; Devyatkina, Svetlana; Kordová, Sára; Vaško, Imrich; Tsikoliya, Shota
year 2024
title Bioreceptive Parameters for Additive Manufacturing of Clay based Composites
doi https://doi.org/10.52842/conf.ecaade.2024.1.045
source Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 45–54
summary Due to climate change and the problematic amount of waste and CO2 emissions in the construction industry, non-human organisms and sustainable solutions are key motivators of the study. This paper focuses on developing a bioreceptive (Guillitte, 1995) composite suitable for additive manufacturing, composed to support growth of various organisms. It investigates key properties which have shown to be beneficial for promoting biological growth, such as water absorption, water permeability, humidity, and surface texture. The study evaluates the effect of two groups of clay-based waste additives, wooden sawdust (Arslan, et al., 2021) and sediment material sourced from local tunnel excavation in Prague. Simultaneously the need for intelligent reintegration and waste use is prevalent. Additive fabrication offers the ability to test a variety of composites and (re-)integrate them into the manufacturing processes. Current approach explores how to design artificial environments/skins for greenery and small life with the potential to improve both diversity and survivability while maintaining a better climate in its immediate surroundings. Bioreceptive design has the potential to improve the quality of the urban environment and bring new aesthetic influences into it (Cruz and Beckett 2016, p. 51-64).
keywords Digital Design, Material Research, Bioreceptive Design, Robotic Fabrication, Additive Manufacturing, Experimental Pastes, Bio compatibility, Waste Materials, Clay Composites
series eCAADe
email
last changed 2024/11/17 22:05

_id ecaade2016_094
id ecaade2016_094
authors Kontovourkis, Odysseas and Konatzii, Panagiota
year 2016
title Optimization Process Towards Robotic Manufacturing in Actual Scale - The Implementation of Genetic Algorithms in the Robotic Construction of Modular Formwork Systems
doi https://doi.org/10.52842/conf.ecaade.2016.1.169
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 169-178
summary The application of optimization processes in architectural design has gained significant attention among architects and recently has become a driving force towards more robust, reliable as well as flexible design investigations. Such application, require handling of multiple parameters, aiming at finding the range of possible solutions in morphological or topological problems of optimization, mostly during the design decision-making process and under the influence of functional, environmental, structural, or other design criteria. This ongoing research investigation puts forward the hypothesis that optimization processes might be equally applied during the construction decision-making process where architectural systems are examined in terms of their ability to be statically efficient and easily manufactured through the use of robotic machines. This is important to exist within a bidirectional platform of communication where the design decision-making will inform decision taken during pre-construction stage and vise versa. In order to test our hypothesis, two case studies are developed that implements genetic algorithms to examine the geometric and static behavior as well as the construction ability of proposed flexible three-dimensional modular formworks and overall systems for concrete casting, aiming to be robotically manufactured in actual scale.
wos WOS:000402063700019
keywords Optimization process; genetic algorithms; robotic manufacturing; modular formwork system.
series eCAADe
email
last changed 2022/06/07 07:51

_id ijac201614403
id ijac201614403
authors Kontovourkis, Odysseas and George Tryfonos
year 2016
title Design optimization and robotic fabrication of tensile mesh structures: The development and simulation of a custom-made end-effector tool
source International Journal of Architectural Computing vol. 14 - no. 4, 333-348
summary This article presents an ongoing research, aiming to introduce a fabrication procedure for the development of tensile mesh systems. The purpose of current methodology is to establish an integrated approach that combines digital form- finding and robotic manufacturing processes by extracting data and information derived through elastic material behavior for physical implementation. This aspires to extend the capacity of robotically driven mechanisms to the fabrication of complex tensile structures and, at the same time, to reduce the defects that might occur due to the deformation of the elastic material. In this article, emphasis is given to the development of a custom-made end-effector tool, which is responsible to add elastic threads and create connections in the form of nodes. Based on additive fabrication logic, this process suggests the development of physical prototypes through a design optimization and tool-path verification.
keywords Robotic fabrication, tensile mesh structures, real-time response, end-effector tool, multi-objective gentic algorithms, structure optimization, form-finding
series journal
email
last changed 2016/12/09 10:52

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