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	caadria2020_062
id	caadria2020_062
authors	Lu, Ming and Yuan, Philip F.
year	2020
title	A New Algorithm to Get Optimized Target Plane on 6-Axis Robot For Fabrication
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 393-402
doi	https://doi.org/10.52842/conf.caadria.2020.2.393
summary	In usual robotic fabrication by 6 axis industrial robot such as KUKA ,ABB and other brands ,the usual robot's 4th ,5th and 6th axis is exactly converge in one point .When this type robot (pieper) is doing movement commands ,setting the degree of 4th axis close to zero is an ideal condition for motion stability ,especially for putting device which connect to tool head on 4th axis arm part.In plastic melting or others print which not cares the rotation angle about the printing direction(the printing direction means the effector's output normal direction vector, KUKA is X axis,ABB is Z axis) ,the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing.The paper introduces a new algorithm to get the analytics solution.The algorithm is clear explained by mathematics and geometry ways. At the end of paper, a grasshopper custom plugin is provided ,which contains this new algorithm ,with this plugin, people can get the optimized target path plane more easily.
keywords	3D printing; brick fabrication; robotic; optimization algorithm; grasshopper plugin
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	artificial_intellicence2019_87
id	artificial_intellicence2019_87
authors	Ming Lu, Wei Ran Zhu, and Philip F. Yuan
year	2020
title	Toward a Collaborative Robotic Platform: FUROBOT
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_6
summary	In usual robotic fabrication by 6-axis industrial robots such as KUKA, ABB, and other brands, the usual robot’s 4th, 5th, and 6th axis is exactly converged in one point. When this type robot (pieper) is doing movement commands, setting the degree of 4th axis close to zero is an ideal condition for motion stability, especially for putting device which connects to tool head on 4th axis arm part. In plastic melting or others print which not cares the rotation angle about the printing direction (the printing direction means the effector’s output normal direction vector, KUKA is X axis, ABB is Z axis), the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing. The paper introduces a new algorithm to get the analytics solution. The algorithm is clearly explained by mathematics and geometry ways. At the end of the paper, a grasshopper custom plugin is provided, which contains this new algorithm, with this plugin, people can get the optimized target path plane more easily.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	caadria2020_164
id	caadria2020_164
authors	Lu, Yi-Heng, Wang, Shih-Yuan, Sheng, Yu-Ting, Lin, Che-Wei, Pang, Yu-Hsuan and Hung, Wei-Tse
year	2020
title	Transient Materialization â€“ Robotic Metal Curving
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 423-432
doi	https://doi.org/10.52842/conf.caadria.2020.2.423
summary	This paper introduces the notion of transient materialization to investigate a novel approach of robotic fabrication. Transient materialization explores a new logic of materialization that takes the advantage of differentiated material states to generate form at a particular moment through computation and fabrication technologies. Specifically, this design research explains a unique design and fabrication process, opening up a new method of materializing architectural form that emerges from the interweaving of data, the material capacity (plastic deformation), timing, and machine capacity. Hence, to examine this research direction, this paper conducts an experimental project, Robotic Metal Curving, through hands-on material experiments, as well as the development of algorithms, robot motion, and prototyping machines. This experiment utilizes an induction heating technique in cooperation with a six-axis industrial robotic arm and fabrication equipment used to shape each metal rod into a three-dimensional curve at a transient moment. In addition, the project focuses not only on developing a robotic metal curving system but also apply this technique in large scale by fabricating a wire-frame structure.
keywords	Robotic Fabrication; Digital Fabrication; Metal Bending
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia20_214p
id	acadia20_214p
authors	Rael, Ronald; San Fratello, Virginia; Curth, Alexander; Arja, Logman
year	2020
title	Casa Covida
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. 214-219
summary	Casa Covida advances large scale earthen additive manufacturing by establishing new methods for the creation of interconnected, partially enclosed dome structures using a lightweight SCARA robotic arm and custom toolpathing software in combination with traditional earthen construction techniques. In the time of Covid-19, digital fabrication and construction are made difficult by a diminished supply chain and the safety concerns associated with a large team. In this project, we use local material, dug from the site itself, and two-three people working outdoors in a socially distanced manner. Three rooms are printed on-site in 500mm intervals by shifting the 3D printer between stations connected by a low-cost 4th-axis constructed from plywood. This system allows virtually simultaneous construction between domes, continuously printing without waiting for drying time on one structure so that a continued cycle of printing can proceed through the three stations 2-4 times a day, thereby minimizing machine downtime. The machine control software used in this project has been developed from the framework of Potterware, a tool built by our team to allow non-technical users to design and 3D print functional ceramics through an interactive web interface.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	caadria2020_233
id	caadria2020_233
authors	Bar-Sinai, Karen Lee, Shaked, Tom and Sprecher, Aaron
year	2020
title	Sensibility at Large - A Post-Anthropocene Vision for Architectural Landscape Editing
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 223-232
doi	https://doi.org/10.52842/conf.caadria.2020.2.223
summary	The irreversible imprint of humankind on Earth calls for revisiting current construction practices. This paper forwards a vision for post-Anthropocene, large-scale, architectural, and landscape construction. This vision relates to transforming natural terrains into architecture using on-site robotic tools and enabling greater sustainability through increased sensibility. Despite advancements in large-scale digital fabrication in architecture, the field still mainly focuses on the production of objects. The proposed vision aims to advance theory and practice towards territorial scale digital fabrication of environments. Three notions are proposed: material-aware construction, large-scale customization, and integrated fabrication. These aspects are demonstrated through research and teaching projects. Using scale models, they explore the deployment of robotic tools toward reforming, stabilizing, and reconstituting soil in an architectural context. Together, they propose a theoretical ground for in situ digital fabrication for a new era, relinking architecture to the terrains upon which it is formed.
keywords	Digital Fabrication; territorial scale; on-site robotics; geomaterials; computational design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_258
id	caadria2020_258
authors	Beatricia, Beatricia, Indraprastha, Aswin and Koerniawan, M. Donny
year	2020
title	Revisiting Packing Algorithm - A Strategy for Optimum Net-to Gross Office Design
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 405-414
doi	https://doi.org/10.52842/conf.caadria.2020.1.405
summary	Net-to-gross efficiency is defined as the ratio of net area to a gross area of a building. Net-to-gross efficiency will determine the quantity of leasable building area. On the other side, the effectiveness of the spatial distribution of a floor plan design must follow the value of net-to-gross efficiency. Therefore in the context of office design, there are two challenges need to be improved: 1) to get an optimum value of efficiency, architects need to assign the amount and size of the office units which can be effectively arranged, and 2) to fulfill high net-to-gross efficiency value that usually set out at minimal 85%. This paper aims to apply the packing algorithm as a strategy to achieve optimum net-to-gross efficiency and generating spatial configuration of office units that fit with the result. Our study experimented with series of models and simulations consisting of three stages that start from finding net-to-gross efficiency, defining office unit profiles based on preferable office space units, and applying the packing algorithm to get an optimum office net-to-gross efficiency. Computational processes using physics engine and optimization solvers have been utilized to generate design layouts that have minimal spatial residues, hence increasing the net-to-gross ratio.
keywords	net-to-gross efficiency; packing algorithm; modular office area; area optimization;
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia20_208p
id	acadia20_208p
authors	Bernier-Lavigne, Samuel
year	2020
title	Object-Field
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. 208-213
summary	This project aims to continue the correlative study between two fundamental entities of digital architecture: the object and the field. Following periods of experimentations on the ""field"" (materialization of flows of data through animation), the ""field of objects"" (parametricism), the ""object"" (OOO), we investigate the last possible interaction remaining: the ""object-field,"" by merging the formal characteristics of the object with the structural flow of its internal field. This investigation is achieved by exploring the high-resolution features of 3d printing in the design of autonomous architectural objects expressing materiality through topological optimization. The objects are generated by an iterative process of volumetric reduction, resulting in an ensemble of monoliths. Four of them are selected and analyzed through topological optimization in order to extract their internal fields. Next, a series of high-resolution algorithmic systems translate the structural information into 3d printed materiality. Of the four object-fields, one materializes, close to identical, the result of the optimization, giving the keystone to understanding the others. The second one expresses the structural flow through a 1mm voxel system, informed by the optimization, having the effect of stiffening the structure where it is needed and thus generating a new topography on the object. The last two explore the blur that this high-resolution can paradoxically create, with complete integration of the optimal structure in a transparent monolith. This is achieved by a vertex displacement algorithm, and the dissolution of the formal data of the monolith and the structural flows, through the mereological assembly of simple linear elements. For each object-field, a series of drawings was developed using specific algorithmic procedures derived from the peculiarities of their complex geometry. The drawings aim to catalyze coherence throughout the project, where similarities, hitherto kept apart by the multiple materialities, begin to dialogue.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	acadia20_226p
id	acadia20_226p
authors	Borhani, Alireza; Kalantar, Negar
year	2020
title	Interlocking Shell
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. 226-231
summary	With a specific focus on robotic stereotomy, two full-scale vault structures were designed to explore the potential of self-standing building structures made from interlocking components; these structures were fabricated with a track-mounted industrial-scale robot (ABB 4600). To respond to the economic affordances of robotic subtractive cutting, all uniquely shaped structural modules came from one block of material (48"" x96"" x36""). Through the discretization of curvilinear tessellated vault surfaces into a limited number of uniquely shaped modules with embedded form-fitting connectors, the project exhibited the potential for programming a robot to cut ruled surfaces to produce freeform shells of any kind. Representing nearly zero-waste construction, the developed technology can potentially be used for self-supporting emergency shelters and field medical clinics, facilitating easy shipping and speedy assembly. Without using any scaffolding, a few people can erect and dismantle an entire mortar-free structure at the construction site. The disassembled structure occupies minimal space in storage, and the structure’s pieces can be transported to the site in stacks. Robot milling is a common technique for removing material to transform a block into a sculptural shape. Unlike milling techniques that produce significant waste, we used a hotwire that sliced through a Geofoam block to create almost no waste pieces. Since the front side of every module was concurrent with the backside of the next one, such a decision allowed to operate just one cut per front side of each module. In this case, by having three cuts, two neighboring modules were fabricated. The form of the structure and its modules emerged from the constraints of the fabrication technique, aiming to establish a feedback loop between geometry, material, simulation, and tool. By cross-referencing geometric data across Grasshopper, a customized tessellation script was made to breakdown a vault into its modular ruled surface constructs.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	ijac202018302
id	ijac202018302
authors	Brath Jensen, Mads; Isak Worre Foged and Hans Jørgen Andersen
year	2020
title	A framework for interactive human–robot design exploration
source	International Journal of Architectural Computing vol. 18 - no. 3, 235-253
summary	This study seeks to identify key aspects for increased integration of interactive robotics within the creative design process. Through its character as foundational research, the study aims to contribute to the advancement of new explorative design methods to support architects in their exploration of fabrication and assembly of an integrated performance-driven architecture. The article describes and investigates a proposed design framework for supporting an interactive human–robot design process. The proposed framework is examined through a 3-week architectural studio, with university master students exploring the design of a brick construction with the support of an interactive robotic platform. Evaluation of the proposed framework was done by triangulation of the authors’ qualitative user observations, quantitative logging of the students’ individual design processes, and through questionnaires completed after finishing the studies. The result suggests that interactive human–robot fabrication is a relevant mode of design with positive effect on the process of creative design exploration.
keywords	Design methods, robotic design processes, interactive robotics, computational design, design exploration, creativity
series	other
type	normal paper
email
last changed	2020/11/02 13:39

_id	ijac202018403
id	ijac202018403
authors	Dagmar Reinhardt, Matthias Hank Haeusler, Kerry London, Lian Loke, Yingbin Feng, Eduardo De Oliveira Barata, Charlotte Firth, Kate Dunn, Nariddh Khean, Alessandra Fabbri, Dylan Wozniak-O’Connor and Rin Masuda
year	2020
title	CoBuilt 4.0: Investigating the potential of collaborative robotics for subject matter experts
source	International Journal of Architectural Computing vol. 18 - no. 4, 353–370
summary	Human-robot interactions can offer alternatives and new pathways for construction industries, industrial growth and skilled labour, particularly in a context of industry 4.0. This research investigates the potential of collaborative robots (CoBots) for the construction industry and subject matter experts; by surveying industry requirements and assessments of CoBot acceptance; by investing processes and sequences of work protocols for standard architecture robots; and by exploring motion capture and tracking systems for a collaborative framework between human and robot co-workers. The research investigates CoBots as a labour and collaborative resource for construction processes that require precision, adaptability and variability.Thus, this paper reports on a joint industry, government and academic research investigation in an Australian construction context. In section 1, we introduce background data to architecture robotics in the context of construction industries and reports on three sections. Section 2 reports on current industry applications and survey results from industry and trade feedback for the adoption of robots specifically to task complexity, perceived safety, and risk awareness. Section 3, as a result of research conducted in Section 2, introduces a pilot study for carpentry task sequences with capture of computable actions. Section 4 provides a discussion of results and preliminary findings. Section 5 concludes with an outlook on how the capture of computable actions provide the foundation to future research for capturing motion and machine learning.
keywords	Industry 4.0, collaborative robotics, on-site robotic fabrication, industry research, machine learning
series	journal
email
last changed	2021/06/03 23:29

_id	cdrf2019_36
id	cdrf2019_36
authors	Dan Luo, Joseph M. Gattas, and Poah Shiun Shawn Tan
year	2020
title	Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_4
summary	Non-structural or out-of-grade timber framing material contains a large proportion of visual and natural defects. A common strategy to recover usable material from these timbers is the marking and removing of defects, with the generated intermediate lengths of clear wood then joined into a single piece of fulllength structural timber. This paper presents a novel workflow that uses machine learning based image recognition and a computational decision-making algorithm to enhance the automation and efficiency of current defect identification and rejoining processes. The proposed workflow allows the knowledge of worker to be translated into a classifier that automatically recognizes and removes areas of defects based on image capture. In addition, a real-time optimization algorithm in decision making is developed to assign a joining sequence of fragmented timber from a dynamic inventory, creating a single piece of targeted length with a significant reduction in material waste. In addition to an industrial application, this workflow also allows for future inventory-constrained customizable fabrication, for example in production of non-standard architectural components or adaptive reuse or defect-avoidance in out-of-grade timber construction.
series	cdrf
email
last changed	2022/09/29 07:51

_id	ecaade2020_116
id	ecaade2020_116
authors	Firth, Charlotte, Dunn, Kate and Haeusler, M.Hank
year	2020
title	Design Process for a Soft Flexible Palm - Improving grasp strength in an anthropomorphic end effector for collaborative robots in construction
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 423-432
doi	https://doi.org/10.52842/conf.ecaade.2020.2.423
summary	This paper describes an iterative design process to create an anthropomorphic end-effector for a collaborative robot in construction. The focus is on improving the palm or juncture of the handlike end effector. Anthropomorphic end effectors typically have stiff, rigid palms that only provide support to the fingers rather than being an active part of the end effector. This research contributes to new knowledge through a detailed investigation of the role the palm has in improving the grip strength and control. This control and strength is essential for operating tools commonly used on construction sites. Consequently, the paper asks the question and investigates if a flexible palm could provide added support and grip for end effectors needed for complex processes.Via an action-based research method, the paper uses soft robotic techniques to experiment with a range of pneumatic iterative solutions to create a functioning palm, inspired by the human hand. The resulting end effector will aim to mimic the behaviours of the human hand.This investigation, its proposed hypothesis, methodology, implications, significance and evaluation are presented in the paper.
keywords	End Effector; Hybrid Tools; Soft Robotics; Anthropomorphic
series	eCAADe
email
last changed	2022/06/07 07:50

_id	cdrf2019_159
id	cdrf2019_159
authors	Hang Zhang and Ye Huang
year	2020
title	Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_15
summary	In the past few years, more architects and engineers start thinking about the application of machine learning algorithms in the architectural design field such as building facades generation or floor plans generation, etc. However, due to the relatively slow development of 3D machine learning algorithms, 3D architecture form exploration through machine learning is still a difficult issue for architects. As a result, most of these applications are confined to the level of 2D. Based on the state-of-the-art 2D image generation algorithm, also the method of spatial sequence rules, this article proposes a brand-new strategy of encoding, decoding, and form generation between 2D drawings and 3D models, which we name 2D-3D Form Encoding WorkFlow. This method could provide some innovative design possibilities that generate the latent 3D forms between several different architectural styles. Benefited from the 2D network advantages and the image amplification network nested outside the benchmark network, we have significantly expanded the resolution of training results when compared with the existing form-finding algorithm and related achievements in recent years
series	cdrf
email
last changed	2022/09/29 07:51

_id	artificial_intellicence2019_129
id	artificial_intellicence2019_129
authors	Hua Chai, Liming Zhang, and Philip F. Yuan
year	2020
title	Advanced Timber Construction Platform Multi-Robot System for Timber Structure Design and Prefabrication
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_9
summary	Robotic Timber Construction has been widely researched in the last decade with remarkable advancements. While existing robotic timber construction technologies were mostly developed for specific tasks, integrated platforms aiming for industrialization has become a new trend. Through the integration of timber machining center and advanced robotics, this research tries to develop an advanced timber construction platform with multi-robot system. The Timber Construction Platform is designed as a combination of three parts: multi-robot system, sensing system, and control system. While equipped with basic functions of machining centers that allows multi-scale multifunctional timber components’ prefabrication, the platform also served as an experimental facility for innovative robotic timber construction techniques, and a service platform that integrates timber structure design and construction through real-time information collection and feedback. Thereby, this platform has the potential to be directly integrated into the timber construction industry, and contributes to a mass-customized mode of timber structures design and construction.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	caadria2020_180
id	caadria2020_180
authors	Jensen, Mads Brath and Das, Avishek
year	2020
title	Technologies and Techniques for Collaborative Robotics in Architecture - - establishing a framework for human-robotic design exploration
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 293-302
doi	https://doi.org/10.52842/conf.caadria.2020.2.293
summary	This study investigates the technological and methodological challenges in establishing an indeterministic approach to robotic fabrication that allows for a collaborative and creative design/fabrication process. The research objective enquires into how robotic processes in architecture can move from deterministic fabrication processes towards explorative and indeterministic design processes. To address this research objective, the study specifically explores how an architect and a robot can engage in a process of co-creation and co-evolution, that is enabled by a collaborative robotic arm equipped with an electric gripper and a web camera. Through a case-based experiment, of designing and constructing an adjustable faÃ§ade system consisting of parallel wood lamellas, designer and robotic system co-create by means of interactive processes. The study will present and discuss the technological implementations used to construct the interactive robotic-based design process, with emphasis on the integration of visual analysis features in Grasshopper and on the benefits of establishing a state machine for interactive and creative robotic control in architecture.
keywords	Design cognition; Digital fabrication ; Construction; Human-computer interaction
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia20_154p
id	acadia20_154p
authors	Josephson, Alex; Friedman, Jonathan; Salance, Benjamin; Vasyliv, Ivan; Melnichuk, Tim
year	2020
title	Gusto: Rationalizing Computational Masonry Design
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. 154-159
summary	Gusto 501 is a multi-level Infill Building on the footprint of an old car garage. Surrounded by an overpass and former factories, the restaurant and event spaces take the form of a ‘Hyper garage’ as a nod to its urban context. The interior is punctuated with standard terracotta blocks formed to create an intricate play of shadows during the day and embedded with LEDs to provide atmospheric illumination at night. The client's vision, our narrative, and the program demanded an innovative use of the primal material: terracotta. The scale of the project required the use of 3,700 blocks. Within the array wrapped around a 50ft tall interior volume, each block needed to be formed and sequenced uniquely to maintain structural integrity and interface with building systems, and express the sculptural qualities our team had designed. Standard approaches to the masonry could not achieve the effects our team was striving for - we had to develop our ground-up process to manufacture and install mass-customized masonry. The design process involved an algorithmic approach to a series of cuts and geometric manipulations to the blocks that allowed for near-endless combinations/configurations to create a dynamic interior facade system. Partisans, partnering with a terracotta block manufacturer, a local mason, and a masonry engineer, pursued simplifying production using wire cutter systems. Digital and physical mock-ups were then used to create a robust library of parameterized design criteria that optimized corbelling, grout thickness, weight, and fabrication complexity. Working sets of drawings were automated through a fully integrated BIM model, simplifying and speeding up installation. The challenge of marrying these processes with the physical realities of installation required another level of collaboration that included the masons themselves and the electricians who would eventually combine lighting systems into the sculpted block array.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	caadria2020_088
id	caadria2020_088
authors	Kado, Keita, Furusho, Genki, Nakamura, Yusuke and Hirasawa, Gakuhito
year	2020
title	rocess Path Derivation Method for Multi-Tool Processing Machines Using Deep-Learning-Based Three Dimensional Shape Recognition
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 609-618
doi	https://doi.org/10.52842/conf.caadria.2020.2.609
summary	When multi-axis processing machines are employed for high-mix, low-volume production, they are operated using a dedicated computer-aided design/ computer-aided manufacturing (CAD/CAM) process that derives an operating path concurrently with detailed modeling. This type of work requires dedicated software that occasionally results in complicated front-loading and data management issues. We proposed a three-dimensional (3D) shape recognition method based on deep learning that creates an operational path from 3D part geometry entered by a CAM application to derive a path for processing machinery such as a circular saw, drill, or end mill. The methodology was tested using 11 joint types and five processing patterns. The results show that the proposed method has several practical applications, as it addresses wooden object creation and may also have other applications.
keywords	Three-dimensional Shape Recognition; Deep Learning; Digital Fabrication; Multi-axis Processing Machine
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2020_184
id	ecaade2020_184
authors	Kycia, Agata and Guiducci, Lorenzo
year	2020
title	Self-shaping Textiles - A material platform for digitally designed, material-informed surface elements
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 21-30
doi	https://doi.org/10.52842/conf.ecaade.2020.2.021
summary	Despite the cutting edge developments in science and technology, architecture to a large extent still tends to favor form over matter by forcing materials into predefined, often superficial geometries, with functional aspects relegated to materials or energy demanding mechanized systems. Biomaterials research has instead shown a variety of physical architectures in which form and matter are intimately related (Fratzl, Weinkamer, 2007). We take inspiration from the morphogenetic processes taking place in plants' leaves (Sharon et al., 2007), where intricate three-dimensional surfaces originate from in-plane growth distributions, and propose the use of 3D printing on pre-stretched textiles (Tibbits, 2017) as an alternative, material-based, form-finding technique. We 3D print open fiber bundles, analyze the resulting wrinkling phenomenon and use it as a design strategy for creating three-dimensional textile surfaces. As additive manufacturing becomes more and more affordable, materials more intelligent and robust, the proposed form-finding technique has a lot of potential for designing efficient textile structures with optimized structural performance and minimal usage of material.
keywords	self-shaping textiles; material form-finding; wrinkling; surface instabilities; bio-inspired design; leaf morphogenesis
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2020_434
id	caadria2020_434
authors	Lange, Christian, Ratoi, Lidia and Co, Dominic Lim
year	2020
title	Reformative Coral Habitats - Rethinking Artificial Reef structures through a robotic 3D clay printing method.
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 463-472
doi	https://doi.org/10.52842/conf.caadria.2020.2.463
summary	In 2018 after Typhoon Mangkhut hit Hong Kong, the city lost around 80% of its existing corals. As a consequence, a team consisting of marine biologists and architects have developed a series of performative structures that will be deployed in Hong Kong waters intending to aid new coral growth over the coming years. This paper describes the present research that focuses on the design and fabrication of artificial reef structures utilizing a robotic 3d clay printing method addressing the specificities of Hong Kong marine ecologies. The paper describes further the algorithmic design methodology, the optimization processes in the generation of the printing path, and the methodology for the fabrication processes during the production cycle to achieve even quality and prevent cracking during the drying process.
keywords	Digital Fabrication; 3D clay printing; Artificial Coral Reefs; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia20_164p
id	acadia20_164p
authors	Lange, Christian; Ratoi, Lidia; Co Lim, Dominic; Hu, Jason; Baker, David M.; Yu, Vriko; Thompson, Phil
year	2020
title	Reformative Coral Habitats
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. 164-169
summary	Coral reefs are some of the most diverse ecologies in the marine world. They are the habitat to tens of thousands of different marine species. However, these wildlife environments are endangered across the globe. Recent research estimates that around 75 percent of the remaining coral reefs are currently under threat. In 2018 after a devastating storm, Hong Kong lost around 80% of its existing corals. Consequently, a team consisting of marine biologists and architects at The University of Hong Kong has developed a series of performative structures that have been deployed in the city's waters in July 2020, intending to aid new coral growth over the coming years. The project was commissioned by the Agriculture, Fisheries, and Conservation Department (AFCD) and is part of an ongoing active management measure for coral restoration in Hoi Ha Wan Marine Park in Hong Kong. The following objectives were defined as part of the design and fabrication research of the project. To develop a design strategy that builds on the concept of biomimicry to allow for complex spaces to occur that would provide attributes against the detachment of the inserted coral fragment, hence could enhance a diverse marine life specific to the context of the cities water conditions. To generate an efficient printing path that accommodates the specific morphological design criteria and ensures structural integrity and the functional aspects of the design. To develop an efficient fabrication process with a DIW 3D printing methodology that considers warping, shrinkage, and cracking in the clay material. The research team developed a method that combined an algorithmic design approach for the design of different geometries with a digital additive manufacturing process utilizing robotic 3D clay printing. The overall fabrication strategy for the complex and large pieces sought to ensure structural longevity, optimize production time, and tackle the involved double-sided printing method. Overall, 128 tiles were printed, covering roughly 40sqm of the seabed.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

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