Cumincad : CUMINCAD Papers : Search Results

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	ecaade2022_234
id	ecaade2022_234
authors	Afsar, Secil, Estévez, Alberto T., Abdallah, Yomna K., Turhan, Gozde Damla, Ozel, Berfin and Doyuran, Aslihan
year	2022
title	Activating Co-Creation Methodologies of 3D Printing with Biocomposites Developed from Local Organic Wastes
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 215–224
doi	https://doi.org/10.52842/conf.ecaade.2022.1.215
summary	Compared to the take-make-waste-oriented linear economy model, the circular model has been studied since the 1980s. Due to consumption-oriented lifestyles along with having a tendency of considering waste materials as trash, studies on sustainable materials management (SMM) have remained at a theoretical level or created temporary and limited impacts. To ensure SMM supports The European Green Deal, there is a necessity of developing top-down and bottom-up strategies simultaneously, which can be metaphorized as digging a tunnel from two different directions to meet in the middle of a mountain. In parallel with the New European Bauhaus concept, this research aims to create a case study for boosting bottom-up and data-driven methodologies to produce short-loop products made of bio-based biocomposite materials from local food & organic wastes. The Architecture departments of two universities from different countries collaborated to practice these design democratization methodologies using data transfer paths. The 3D printable models, firmware code, and detailed explanation of working with a customized 3D printer paste extruder were shared using online tools. Accordingly, the bio-based biocomposite recipe from eggshell, xanthan gum, and citric acid, which can be provided from local shops, food & organic wastes, was investigated concurrently to enhance its printability feature for generating interior design elements such as a vase or vertical gardening unit. While sharing each step from open-source platforms with adding snapshots and videos allows further development between two universities, it also makes room for other researchers/makers/designers to replicate the process/product. By combining modern manufacturing and traditional crafting methods with materials produced with DIY techniques from local resources, and using global data transfer platforms to transfer data instead of products themselves, this research seeks to unlock the value of co-creative design practices for SMM.
keywords	Sustainable Materials Management, Co-Creation, Food Waste, 3D Printing, New European Bauhaus
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ascaad2022_085
id	ascaad2022_085
authors	Cicek, Selen; Koc, Mustafa; Korukcu, Berfin
year	2022
title	Urban Map Generation in Artist's Style using Generative Adversarial Networks (GAN)
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 264-282
summary	Artificial Intelligence is a field that is able to learn from existing data to synthesize new ones using deep learning methods. Using Artificial Neural Networks that process big datasets, complex tasks and challenges become easily resolved. As the zeitgeist suggests, it is possible to produce novel outcomes for future projections by applying various machine learning algorithms on the generated data sets. In that context, the focus of this research is exploring the reinterpretation of 21st century urban plans with familiar artist styles using different subtypes of deep-learning-based generative adversarial networks (GAN) algorithms. In order to explore the capabilities of urban map transformation with machine learning approaches, two different GAN algorithms which are cycleGAN and styleGAN have been applied on the two main data sets. First data set, the urban data set, contains 50 cities urban plans in .jpeg format collected according to the diversity of the urban morphologies. Whereas the second data set is composed of four well-known artist’s paintings, that belong to various artistic movements. As a result of training the same data sets with different GAN algorithms and epoch values were compared and evaluated. In this respect, the study not only investigates the reinterpretation of stylistic urban maps and shows the discoverability of new representation techniques, but also offers a comparison of the use of different image to image translation GAN algorithms.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	sigradi2023_28
id	sigradi2023_28
authors	Evrim, Berfin and Wylant, Barry Dean
year	2023
title	4D Printing onto Textile: Fabrication and Design Process of Bistable 4D textiles
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1489–1500
summary	4D printing allows the material to transform from one shape to another over time. 4D printing onto textiles results in deformation leading to self-formation and responsivity that informs potential architectural cladding applications. Due to the self-forming properties of textiles after 4D printing, 3D printing patterns can produce bistable structures. Bistable materials composed of 4D textiles shift their current shape from one state to another. The combination of knitted textiles and 4D printing enhances material properties to satisfy performative criteria of potential building skins and enclosures. This study demonstrates a novel approach to fabricate bistable materials by 3D printing onto textiles and controlling the material behavior with an actuation system. The contributions of this study include 3D printing pattern generation to achieve bistable behavior, integration of digital and traditional fabrication techniques, and the addition of a new layer of functionality and responsivity to the textile material.
keywords	Bistable Material, 4D Printing, 4D Textiles
series	SIGraDi
email
last changed	2024/03/08 14:08

_id	sigradi2021_88
id	sigradi2021_88
authors	Evrim, Berfin
year	2021
title	Hybrid Carbon Fiber and Jute Fiber Textile Bone Stool: Integrative Fabrication Method of Weaving and 3D Printing
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 629–641
summary	The structural properties of Fiber Reinforced Polymers (FRP) encourage designers and architects to use textiles as a load-bearing architectural material to create lightweight and strong structures. Manufacturing techniques of FRPs are mostly concentrated on the molding method. This method requires an extra mold fabrication that causes waste of material. This study focuses on integrative weaving and 3D printing fabrication methods, which emphasize the lightweight property of the material. This integrative method avoids excessive material waste during fabrication by using an additive approach. 3D printing on textiles prevents significant deformation in a specific direction of the fabric instead of using any kind of synthetic resin for stiffening the fabric. Additionally, structural behavior simulation allows designers to understand the different loading conditions and maximize the strengths of each textile design by adding more material where it is needed for possible architectural applications.
keywords	Stool Design, Bone Analysis, Textile Load Simulation, Weaving, 3D Printing
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	sigradi2020_962
id	sigradi2020_962
authors	Evrim, Berfin; Davis, Grant; Tubay, Josh; Gursoy, Benay
year	2020
title	Recipes for Waste-Tooling: Using Food Waste in Design
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 962-967
summary	In this research, we propose an alternate consumption cycle in which the traditional landfill waste disposal model is averted by developing design objects that are fabricated with household biowaste materials. Food decomposition in landfills not only wastes the energy and emissions input into the original production process, but also releases methane. By rerouting this waste for secondary use as novel design objects and tools, in this research we seek to prevent some amounts of household biowaste from reaching landfills. This process, that we call waste-tooling, repurposes food waste to make kitchen tools by employing different fabrication strategies.
keywords	Circular economy, Biowaste, 3D printing
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	ascaad2023_120
id	ascaad2023_120
authors	Körükcü, Berfin
year	2023
title	A Framework Proposal for Natural Stone Processing with Robot Arm
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 767-779.
summary	Transforming raw stone materials into building elements and materials using traditional tools and methods has a long cultural history. As a reflection of computational design thinking, current production methods have been transferred to digital environments, making them suitable for processing and interacting with numerical machines. Physical media and production processes, which are difficult and slow to change and regulate, have been transferred to the digital environment and made programmable, changeable and open to algorithmic manipulation. The development of digital design and production methods in architecture has also paved the way for the digitalization of natural stone processing applications. Digital Fabrication methods are effective at all scales and stages of architectural processes. In subtractive methods, which is one of the digital fabrication methods, the material is shaped by subtracting parts from the main whole by cutting or milling. Processing with a robot arm is a subtractive production type, such as traditional stone carving. The process consists of the tool attached to the robot arm moving on the block. Along the path followed by the tool, the material is shaped by subtracting it according to the thickness, shape, step distance, progress speed, adjusted depth, and axis. In general, stone processing consists of two steps: rough processing that roughly removes the material layer by layer and fine processing that processes the remaining part precisely to produce a surface finish. The design of this production process creates a relationship between time and quality. At this point, simulation can be used to design the process based on the production tool before production and to provide feedback on the produced form by measuring it to the digital model after production. This study provides a comparative framework for the different processing steps of natural stone materials for robotic fabrication. The research includes collecting data on natural stone processing and robotic fabrication, drawing a framework for the geometric form to be processed, designing the stone processing process with a robotic arm, conducting simulation experiments, and analyzing simulation data. Since performing the experiments in physical would be restrictive in terms of cost and time, simulation technique was preferred. In this way, it was possible to conduct more experiments, and analyzes were strengthened.
series	ASCAAD
email
last changed	2024/02/13 14:41

_id	ecaade2022_151
id	ecaade2022_151
authors	Turhan, Gozde Damla, Afsar, Secil, Ozel, Berfin, Doyuran, Aslihan, Varinlioglu, Guzden and Bengisu, Murat
year	2022
title	3D Printing with Bacterial Cellulose-Based Bioactive Composites for Design Applications
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 77–84
doi	https://doi.org/10.52842/conf.ecaade.2022.1.077
summary	The bacterial cellulose (BC) biofilms are explored in design applications as replacements to petroleum-based materials in order to overcome the irreversible effects of the Anthropocene. Unlike biomaterials, designers as mediators could collaborate with bioactive polymers as a form of wetware to manufacture living design products with the aid of novel developments in biology and engineering. Past and ongoing experiments in the literature show that BC has a strong nanofibril structure that provides adhesion for attachment to plant cellulose-based networks and it could grow on the surfaces of the desired geometry thanks to its inherited, yet, controllable bio-intelligence. This research explores BC-based bioactive composites as wetware within the context of digital fabrication in which the methodology involves distinct, yet integrated, three main stages: Digital design and G-code generation (software stage); BC cultivation and printable bioactive composite formulation (wetware stage); digital fabrication with a customized 3D printer (hardware stage). The results have shown that the interaction of BC and plant- based cellulose fibers of jute yarns has enhanced the structural load-bearing capacity of the form against compressive forces, while pure BC is known only by its tensile strength. Since the outcomes were fabricated with the use of a bioactive material, the degradation process also adds a fourth dimension: Time, by which the research findings could further establish a bio-upcycling process of wastes towards biosynthesis of valuable products. Moreover, developing a BC-based bioactive filament indicates potentially a feasible next step in the evolution of multiscale perspectives on the growth of habitable living structures that could reinforce the interaction between nature and architecture through collaboration with software, hardware, and wetware in innovative and sustainable ways.
keywords	Bacterial Cellulose, 3D Printing, Digital Fabrication, Bio-Active Composite
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2021_330
id	ecaade2021_330
authors	Vazquez, Elena, Evrim, Berfin and Duarte, Jose
year	2021
title	Towards a Digital Workflow for Designing Bistable Kinetic Façades
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 365-372
doi	https://doi.org/10.52842/conf.ecaade.2021.1.365
summary	New engineered materials present an excellent opportunity for architects and researchers to reimagine traditionally static building components as dynamic and shape-changing. Bistable materials show two zero energy states and can transition between them with the input of a small force. These engineered materials have yet to be explored for large-scale architectural applications. This study presents a digital workflow for designing a kinetic shading system for facades with bistable laminates. The workflow includes an FEA model that predicts the curved shape of bistable laminates and a digital simulation model that predicts the natural light performance of the resulting kinetic screens. We describe the workflow and demonstrate its use with a case study of a manually operated bistable facade. The study forms part of a larger research agenda to develop kinetic architectural systems using bistable and smart materials.
keywords	Compliant mechanisms; bistable laminates; kinetic facades; snap-through; dynamic shadings; carbon fiber laminates
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ascaad2023_055
id	ascaad2023_055
authors	Yildiz, Berfin; Çagdaº, Gülen; Zincir, lbrahim
year	2023
title	Deep Architectural Floor Plan Generation: An Approach for Open-Planned Residential Spaces
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 685-705.
summary	This research investigates the collaborative potential of artificial intelligence and deep learning in architectural design, focusing on comprehending and synthesizing the complex relationships within architectural floor plans. The primary question addressed is whether deep learning algorithms can effectively generate residential floor plans characterized by open-planned architectural spaces. To address this, the study introduces a novel model employing generative adversarial networks (GANs) to create open-planned layouts within residential floor plans. Open-planned spaces refers to a design approach in which interior spaces within a structure are intentionally devoid of traditional partitioning elements such as walls and doors. The layout typically features interconnected and visually continuous spaces that flow seamlessly from one area to another. The research contributes by addressing a gap in the literature through the exploration of functional space differentiations within residences characterized by open plan arrangement without walls as a separating element. Furthermore, the study extends this investigation by applying the proposed methodology to angular and circular plans as well as orthogonal plan sets. In the generative model created with GAN, the space functions are defined and labelled with the RGB color codes assigned to them. For the RGB label representation of the open-plan layout, gradient coloring prepared. By using this method, it was investigated whether the generation of the plans was realized with an open-plan structure by examining the gradient generation results. In the generative model, the footprint of the plan is given as an input for the algorithm to produce by adhering to an outer boundary. Accordingly, it is aimed to learn how the network can be arranged within the given boundaries. The Pix2pix method was used for this generative model, which is defined as the problem of obtaining images from images. The model results advance the AI-driven understanding of architectural design by providing architects with an innovative tool to explore open-plan spatial solutions.
series	ASCAAD
email
last changed	2024/02/13 14:34

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