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	sigradi2018_1389
id	sigradi2018_1389
authors	Capone, Mara; Lanzara, Emanuela
year	2018
title	Kerf bending: ruled double curved surfaces manufacturing
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 653-660
summary	Knowledge of geometric properties of surfaces is crucial for resolution of many manufacturing problems. Developability is an important feature of a surface that allows its manufacture from a flat "strip" of a "flexible" and "non-deformable" material. Digital fabrication technologies and parametric design tools, based on knowledge of geometry, are changing designer way to think. Our research in the field of non-developable surfaces fabrication move from paneling to "kerfing". This technique allows to transform a rigid material in a flexible one. The main problem to solve is how to cut the flat shape to obtain the design surface.
keywords	Non-developable surfaces; Developable surfaces; Shape grammar; Parametric design; Kerfing
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_255
id	ecaade2018_255
authors	Danesh, Foroozan, Baghi, Ali and Kalantari, Saleh
year	2018
title	Programmable Paper Cutting - A Method to Digitally Fabricate Transformable, Complex Structural Geometry
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 489-498
doi	https://doi.org/10.52842/conf.ecaade.2018.2.489
summary	This paper presents a computational approach to generating architectural forms for large spanning structures based on a "paper-cutting" technique. Using this approach, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. Our computational system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach. To develop the model, we analyzed paper-cutting techniques, extracted the relevant formative parameters, and created a simulation using finite element analysis. We then used a data-mining approach through 400 simulations and applied a regression analysis to create a prediction model. Given a small number of input variables from the designer, this model can rapidly and precisely predict the transformation volume of a paper-cutting pattern. Additional structural characteristics will be modelled in future work. The use of this tool makes paper-cut design approaches more practical by changing a non-systematic, labor-intensive design process into a more precise and efficient one.
keywords	Paper-cut?; Transformable geometry; Design method; Model prediction; Data mining; Regression analysis
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_263
id	ecaade2018_263
authors	Dy, Bianchi and Stouffs, Rudi
year	2018
title	Combining Geometries and Descriptions - A shape grammar plug-in for Grasshopper
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 499-508
doi	https://doi.org/10.52842/conf.ecaade.2018.2.499
summary	A persistent challenge to the more widespread use of shape grammars in architectural research is the creation of rules and rule sets for application in design contexts, while leaving space for design creativity despite the limitations of a rule-based system. A hybrid of associative and rule-based approaches may alleviate this. We present one such development, a Grasshopper shape grammar plug-in that embeds a rule-based approach within a parametric modelling environment. It supports shape emergence, visual enumeration of rule application results, and the parametric definition of shapes and shape rules even when selecting a non-parametric rule matching mechanism. Grasshopper's ability to handle geometries and text together allows for external descriptions and labels as attributes to points, enabling definition and application of compound, geometric and description rules. Well-known examples from shape grammar literature are implemented using the plug-in, with a focus on rule definition and application in the context of interaction between the parametric modelling environment and the rule-based interpreter, and simultaneous use of geometry, descriptions, and descriptions as attributes in rules.
keywords	shape grammar; shape grammar interpreter; parametric modelling; Grasshopper; rule-based; descriptions
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_344
id	ecaade2018_344
authors	El-Gewely, Noor, Wong, Christopher, Tayefi, Lili, Markopoulou, Areti, Chronis, Angelos and Dubor, Alexandre
year	2018
title	Programming Material Intelligence Using Food Waste Deposition to Trigger Automatic Three-Dimensional Formation Response in Bioplastics
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 271-278
doi	https://doi.org/10.52842/conf.ecaade.2018.2.271
summary	Bioplastics are by their very nature parametric materials, programmable through the selection of constituent components and the ratios in which they appear, and as such present significant potential as architectural building materials for reasons beyond sustainability and biodegradability. This paper presents a system through which rigid three-dimensional doubly curved hyperbolic paraboloid shapes are automatically formed from two-dimensional sheet casts by harnessing the inherent flexibility and expressiveness of bioplastics. The system uses a gelatin-based bioplastic supplemented with granular organic matter from food waste in conjunction with a split-frame casting system that enables the self-formation of three-dimensional geometries by directing the force of the bioplastic's uniform contraction as it dries. By adjusting the food waste added to the bioplastic, its properties can be tuned according to formal and performative needs; here, dehydrated granulated orange peel and dehydrated spent espresso-ground coffee are used both to impart their inherent characteristics and also to influence the degree of curvature of the resulting bioplastic surfaces. Multi-material casts incorporating both orange peel bioplastic and coffee grounds bioplastic are shown to exert a greater influence over the degree of curvature than either bioplastic alone, and skeletonized panels are shown to exhibit the same behavior as their solid counterparts. Potential developments of the technology so as to gain greater control of the curvature performance, particularly in the direction of computer-controlled additive manufacturing, are considered, as is the potential of application in architectural scale.
keywords	Bioplastics; Composites; Fabrication; Materials
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_108
id	ecaade2018_108
authors	Luo, Dan, Wang, Jingsong and Xu, Weiguo
year	2018
title	Applied Automatic Machine Learning Process for Material Computation
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 109-118
doi	https://doi.org/10.52842/conf.ecaade.2018.1.109
summary	Machine learning enables computers to learn without being explicitly programmed. This paper outlines state-of-the-art implementations of machine learning approaches to the study of physical material properties based on Elastomer we developed, which combines with robotic automation and image recognition to generate a computable material model for non-uniform linear Elastomer material. The development of the neural network includes a few preliminary experiments to confirm the feasibility and the influential parameters used to define the final RNN neural network, the study of the inputs and the quality of the testing samples influencing the accuracy of the output model, and the evaluation of the generated material model as well as the method itself. To conclude, this paper expands such methods to the possible architectural implications on other non-uniform materials, such as the performance of wood sheets with different grains and tensile material made from composite materials.
keywords	neural network; robotic; material computation; automation
series	eCAADe
email
last changed	2022/06/07 07:59

_id	sigradi2018_1785
id	sigradi2018_1785
authors	Mendonça, David; Passaro, Andrés; Castro Henriques, Gonçalo
year	2018
title	WikiHouse: A Generativeandparametric tool to customize curved geometries
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 714-718
summary	Current research departs from the WikiHouse an open-source constructive system that enables self-construction and customization in engineered wood. The public platform favours the design and construction using CNC technology and digital manufacture. However, the system application and form vocabulary are bounded to orthogonal profiles geometry. Current research intended to automate the system in an algorithm and to expand the design to curved geometries, what was tested using digital fabrication in 1:1. The system developed allows the personalization of solutions of shell-like geometries that might use less material in more robust solutions, opening new design possibilities for the system.
keywords	WikiHouse; Digital fabrication; Open Source; Parametric design; curved geometries
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_298
id	ecaade2018_298
authors	Rossi, Gabriella and Nicholas, Paul
year	2018
title	Modelling A Complex Fabrication System - New design tools for doubly curved metal surfaces fabricated using the English Wheel
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 811-820
doi	https://doi.org/10.52842/conf.ecaade.2018.1.811
summary	Standard industrialization and numeration models fail to translate the richness and complexity of traditional crafts into the making of the architectural elements, which excludes them from the industry. This paper introduces a new way of modelling a complex craft fabrication method, namely the English Wheel, that is based on the creation of a cyber-physical system. The cyber-physical system connects a robotic arm and an artificial neural network. The robot arm controls the movement of a metal sheet through the English wheel to achieve desired geometries according to toolpaths and predicted deformations specified by the neural network. The method is demonstrated through the making of 1:1 design probes of doubly curved metal surfaces.
keywords	Digital craft; metal forming; doubly curved surfaces; robotic fabrication; neural networks; cyber-physical system
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_393
id	ecaade2018_393
authors	Serrano Salazar, Salvador, Carrasco Hortal, José, Morales Menárguez, Francesc and Gutiérrez Salazar, Juan Pablo
year	2018
title	Cooperative Trees by Adding Inosculated and Discrete Definitions to a DLA Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 103-112
doi	https://doi.org/10.52842/conf.ecaade.2018.2.103
summary	This paper presents a method to generate free-form branched structures from a small number of different constructive elements, based on the postulates of discrete or combinatorial design. The research is based on the study of fractal growth as a generator of complex tree-like structures, using references from other scientific approaches in which the possibilities of the DLA (diffusion-limited aggregation) model have been explored. The proposed method uses the Grasshopper visual programming language, and incorporates new topological strategies to improve the performance or robustness of the system through tree-tree (inosculation) and tree-soil (aerial roots) cooperations. The simulation demonstrates the effectiveness of the proposed method and its potential for the construction of structures with complex geometries from a discrete set of knots and bars and bioinspired strategies. The paper includes a review of the chosen design principles, the developed methodology and a recent physical test in Medellín (Colombia).
keywords	DLA, discrete design, inosculation, branching structures, virtual-real models
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia18_260
id	acadia18_260
authors	Tish, Daniel; Schork, Tim; McGee, Wes
year	2018
title	Topologically Optimized and Functionally Graded Cable Nets. New approaches through robotic additive manufacturing
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 260-265
doi	https://doi.org/10.52842/conf.acadia.2018.260
summary	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 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, as well as applied to the design of a furniture-scale case study project realized through the use of robotic additive manufacturing of elastomeric materials
keywords	work in progress, materials & adaptive systems, robotic production, computation, flexible structures
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	ecaade2018_389
id	ecaade2018_389
authors	Algeciras-Rodriguez, Jose
year	2018
title	Stochastic Hybrids - From references to design options through Self-Organizing Maps methodology.
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 119-128
doi	https://doi.org/10.52842/conf.ecaade.2018.1.119
summary	This ongoing research aims to define a general assisted design method to offer non-trivial design options, where form is produced by merging characteristics from initial reference samples collection that serves as an input set. This project explores design processes laying on the use of non-linear procedures and experiments with Self-Organizing Map (SOM), as neural networks algorithms, to generate geometries. All processes are applied to a set of models representing classic sculpture, whose characteristics are encoded by the SOM process. The result of it is a set of new geometry resembling characteristics from the original references. This method produces hybrid forms that acquire characteristics from several input references. The resulting hybrid entities are intended to be non-trivial solutions to specific design situations, so far, at the stage of this research, mainly formal requirements.
keywords	Self-Orgnizing Maps; Cognitive Space; Design Options; Form Finding; Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_w08
id	ecaade2018_w08
authors	Aºut, Serdar, Gouwetor, Friso and Latka, Jerzy
year	2018
title	Form-Adapt - Using Adaptable Form-work for Fabricating Double-Curved Surfaces
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 47-48
doi	https://doi.org/10.52842/conf.ecaade.2018.1.047
summary	This workshop will introduce the use of FlexiMold, an adaptable form-work device for fabricating double-curved surfaces; and Marionette, the parametric design tool of Vectorworks. The participants will have the opportunity to experience the entire workflow from the design to the production of a spatial object which has a complex form. The object will be composed of separate panels each of which will be designed by a participant and will be fabricated by team work.
keywords	Computational Design; Computer Aided Manufacturing; Double-Curved Surfaces
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia18_366
id	acadia18_366
authors	Baseta, Efilena; Bollinger, Klaus
year	2018
title	Construction System for Reversible Self-Formation of Grid Shells. Correspondence between physical and digital form
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 366-375
doi	https://doi.org/10.52842/conf.acadia.2018.366
summary	This paper presents a construction system which offers an efficient materialization method for double-curved gridshells. This results in an active-bending system of controlled deflections. The latter system embeds its construction manual into the geometry of its components. Thus it can be used as a self-formation process. The two presented gridshell structures are composed of geometry-induced, variable stiffness elements. The latter elements are able to form programmed shapes passively when gravitational loads are applied. Each element consists of two layers and a slip zone between them. The slip allows the element to be flexible when it is straight and increasingly stiffer while its curvature increases. The amplitude of the slip defines the final deformation of the element. As a result, non-uniform deformations can be obtained with uniform cross sections and loads. When the latter elements are used in grid configurations, self-formation of initially planar surfaces emerges. The presented system eliminates the need for electromechanical equipment since it relies on material properties and hierarchical geometrical configurations. Wood, as a flexible and strong material, has been used for the construction of the prototypes. The fabrication of the timber laths has been done via CNC industrial milling processes. The comparison between the initial digital design and the resulting geometry of the physical prototypes is reviewed in this paper. The aim is to inform the design and fabrication process with performance data extracted from the prototypes. Finally, the scalability of the system shows its potential for large-scale applications, such as transformable structures.
keywords	full paper, material & adaptive systems, flexible structures, digital fabrication, self-formation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_377
id	ecaade2018_377
authors	Beaudry Marchand, Emmanuel, Dorta, Tomás and Pierini, Davide
year	2018
title	Influence of Immersive Contextual Environments on Collaborative Ideation Cognition - Through design conversations, gestures and sketches
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 795-804
doi	https://doi.org/10.52842/conf.ecaade.2018.2.795
summary	In the design studio, Virtual Reality (VR) has mainly been included as a visualization tool to explore pre-designed ideas developed in traditional 3D software or using pen on paper. Meanwhile, a reshaping of the design process has been taking place, bringing forward interaction/experiential concerns and co-design approaches throughout disciplines in a push for a more thorough consideration of projects' contexts. This paper reports an exploratory study of how immersive contextual representations influence the co-ideation process. Audio-video recordings of co-ideation sessions (9) from a pedagogical studio were analyzed through verbal and representational (sketches and design gestures) exchanges as occurring in three different conditions: (a) pen on paper, immersive headset-free VR (b) without, and (c) with the use of contextual immersive environment (photogrammetric scans and 3D models). Results show that, although design conversations were similar across all conditions, design gestures were more often directly related to- than independent from the graphical representation only when using an immersive contextual environment. Furthermore, the rate of sketching episodes in general and sketching explanations were considerably lower in this condition. This could imply that use of pre-made context greatly reduces the need of sketching elements to support a clearer co-ideation.
keywords	Immersive context; Design gestures; Design conversations; Sketches; Co-design studio; Design cognition
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia23_v1_166
id	acadia23_v1_166
authors	Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year	2023
title	High-performance Spatial Composite 3D Printing
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary	This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	ecaade2018_188
id	ecaade2018_188
authors	Coppens, Adrien, Mens, Tom and Gallas, Mohamed-Anis
year	2018
title	Parametric Modelling Within Immersive Environments - Building a Bridge Between Existing Tools and Virtual Reality Headsets
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 711-716
doi	https://doi.org/10.52842/conf.ecaade.2018.2.711
summary	Even though architectural modelling radically evolved over the course of its history, the current integration of Augmented Reality (AR) and Virtual Reality (VR) components in the corresponding design tasks is mostly limited to enhancing visualisation. Little to none of these tools attempt to tackle the challenge of modelling within immersive environments, that calls for new input modalities in order to move away from the traditional mouse and keyboard combination. In fact, relying on 2D devices for 3D manipulations does not seem to be effective as it does not offer the same degrees of freedom. We therefore present a solution that brings VR modelling capabilities to Grasshopper, a popular parametric design tool. Together with its associated proof-of-concept application, our extension offers a glimpse at new perspectives in that field. By taking advantage of them, one can edit geometries with real-time feedback on the generated models, without ever leaving the virtual environment. The distinctive characteristics of VR applications provide a range of benefits without obstructing design activities. The designer can indeed experience the architectural models at full scale from a realistic point-of-view and truly feels immersed right next to them.
keywords	Computer-aided Design; Parametric modelling; Virtual Reality; Architectural modelling; Human-Computer Interaction
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_139
id	ecaade2018_139
authors	Cudzik, Jan and Radziszewski, Kacper
year	2018
title	Artificial Intelligence Aided Architectural Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 77-84
doi	https://doi.org/10.52842/conf.ecaade.2018.1.077
summary	Tools and methods used by architects always had an impact on the way building were designed. With the change in design methods and new approaches towards creation process, they became more than ever before crucial elements of the creation process. The automation of architects work has started with computational functions that were introduced to traditional computer-aided design tools. Nowadays architects tend to use specified tools that suit their specific needs. In some cases, they use artificial intelligence. Despite many similarities, they have different advantages and disadvantages. Therefore the change in the design process is more visible and unseen before solution are brought in the discipline. The article presents methods of applying the selected artificial intelligence algorithms: swarm intelligence, neural networks and evolutionary algorithms in the architectural practice by authors. Additionally research shows the methods of analogue data input and output approaches, based on vision and robotics, which in future combined with intelligence based algorithms, might simplify architects everyday practice. Presented techniques allow new spatial solutions to emerge with relatively simple intelligent based algorithms, from which many could be only accomplished with dedicated software. Popularization of the following methods among architects, will result in more intuitive, general use design tools.
keywords	computer aideed design; artificial intelligence,; evolutionary algorithms; swarm behaviour; optimization; parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	ijac201816205
id	ijac201816205
authors	Faircloth,Billie; Ryan Welch, Martin Tamke, Paul Nicholas, Phil Ayres, Yulia Sinke, Brandon Cuffy and Mette Ramsgaard Thomsen
year	2018
title	Multiscale modeling frameworks for architecture: Designing the unseen and invisible with phase change materials
source	International Journal of Architectural Computing vol. 16 - no. 2, 104-122
summary	Multiscale design and analysis models promise a robust, multimethod, multidisciplinary approach, but at present have limited application during the architectural design process. To explore the use of multiscale models in architecture, we develop a calibrated modeling and simulation platform for the design and analysis of a prototypical envelope made of phase change materials. The model is mechanistic in nature, incorporates material-scale and precinct scale-attributes, and supports the design of two- and three-dimensional phase change material geometries informed by heat transfer phenomena. Phase change material behavior, in solid and liquid states, dominates the visual and numerical evaluation of the multiscale model. Model calibration is demonstrated using real-time data gathered from the prototype. Model extensibility is demonstrated when it is used by designers to predict the behavior of alternate envelope options. Given the challenges of modeling phase change material behavior in this multiscale model, an additional multiple linear regression model is applied to data collected from the physical prototype in order to demonstrate an alternate method for predicting the melting and solidification of phase change materials.
keywords	Multiscale modeling, mechanistic modeling, heat transfer modeling, phase change materials, model validation
series	journal
email
last changed	2019/08/07 14:03

_id	acadia18_98
id	acadia18_98
authors	Fox, Michael; Schulitz, Marc; Gershfeld, Mikhail; Cohen, Marc
year	2018
title	Full Integration: Closing the Gap on Technology Readiness
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 98-107
doi	https://doi.org/10.52842/conf.acadia.2018.098
summary	This paper discusses the authors’ experiences and lessons learned through designing and constructing small- and large-scale robotic prototypes and the fully integrated use of VR and AR for design. Also of focus here are the methodological tools utilized to implement this student-led research in an interdisciplinary educational environment, as well as the design explorations of Mars habitation systems. Through the systems engineering approach, students will generate ideas that may or may not make it to the final design development stage, but may potentially be valuable to future real exploration habitats and mission architectures. The final prototype allows an assessment of the focus parameters, which are the vessels’ transformation capacities and layout adaption. The design objective of this project is to examine strategies for commonality between an interplanetary vehicle (IPV) and a Mars surface habitat. The presented design proposals address this challenge to create a common habitation system in both habitats so that crew members will be familiar with the layout, function, and location throughout the expedition. The design tools operate at the intersection of architectural layout design, mechanics, and structural design, and use origami folding techniques and structural form-finding concepts to generate shell action rigidity. In addition, the project develops a strategy for mobility and transformation of the surface habitat prior to its transformed configuration. The value here lies in understanding lessons from this strategy for both the design process as well as efficiency and optimization in design as a model for terrestrial design.
keywords	full paper, bim, flexible structures, performance + simulation, representation + perception, building technologies, vr/ar/mr
series	ACADIA
type	paper
email
last changed	2022/06/07 07:50

_id	ecaade2018_243
id	ecaade2018_243
authors	Gardner, Nicole
year	2018
title	Architecture-Human-Machine (re)configurations - Examining computational design in practice
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 139-148
doi	https://doi.org/10.52842/conf.ecaade.2018.2.139
summary	This paper outlines a research project that explores the participation in, and perception of, advanced technologies in architectural professional practice through a sociotechnical lens and presents empirical research findings from an online survey distributed to employees in five large-scale architectural practices in Sydney, Australia. This argues that while the computational design paradigm might be well accepted, understood, and documented in academic research contexts, the extent and ways that computational design thinking and methods are put-into-practice has to date been less explored. In engineering and construction, technology adoption studies since the mid 1990s have measured information technology (IT) use (Howard et al. 1998; Samuelson and Björk 2013). In architecture, research has also focused on quantifying IT use (Cichocka 2017), as well as the examination of specific practices such as building information modelling (BIM) (Cardoso Llach 2017; Herr and Fischer 2017; Son et al. 2015). With the notable exceptions of Daniel Cardoso Llach (2015; 2017) and Yanni Loukissas (2012), few scholars have explored advanced technologies in architectural practice from a sociotechnical perspective. This paper argues that a sociotechnical lens can net valuable insights into advanced technology engagement to inform pedagogical approaches in architectural education as well as strategies for continuing professional development.
keywords	Computational design; Sociotechnical system; Technology adoption
series	eCAADe
email
last changed	2022/06/07 07:51

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