Lace Wall:

Tamke, Martin; Zwierzycki, Mateusz; Deleuran, Anders Holden; Sinke, Yuliya; Tinning, Ida Friis; Thomsen, Mette Ramsgaard

doi:10.2307/j.ctt1n7qkg7.17

Cited by 5 publications

(7 citation statements)

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“…Due to this intricacy, established form-finding methods are insufficient to predict the material behaviour, emergent effects and outcomes. The introduction of machine learning (ML)-supported strategies can help to develop a computational ‘machine-enhanced intuition’ and allows researchers to predict non-idealized results 6,20 with levels of precision and resolution that are acceptable for the use case. In order to create databases for such a process, physical prototypes need to be 3D scanned, and the related information regarding design parameters has to be collected and assigned.…”

Section: Discussionmentioning

confidence: 99%

“…Computer-controlled knitting opens up a broad field of opportunities for using more complex geometries and customised patterns as opposed to homogeneous knitting patterns. 6 Furthermore, the use of inflated pre-knitted structures to investigate the potential of textile architecture 7 and the use of weaving as a shaping mechanism in an architectural generative system 8 have also been the subjects of research in projects conducted at universities. Sewing fibre-reinforced composite strands using the tailored fibre placement technique has revealed the potential to generate double-curved geometries.…”

Section: State Of the Artmentioning

confidence: 99%

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Fabricating lightweight ceramics by spraying clay on knitted structures

Gosch

Jauk

Vašatko

et al. 2022

International Journal of Architectural Computing

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This research was carried out to develop a novel composite material consisting of a thread reinforcement and a clay matrix, as well as to develop a method of shaping this material into hollow spatial structures. Ceramic elements in the building industry are currently created by applying extruding, pressing and casting methods. The approach of spraying clay onto predefined knitted meshes increases the usability of digitally fabricated lightweight ceramic elements, while eliminating the need for scaffolding. In this approach, multiple layers of a fluid clay mass are sprayed onto the tensioned mesh using an industrial, six-axis robotic arm. This allows the precise application of the material and results in varying material thicknesses. Due to the complementary qualities of clay which absorbs compressive forces and threads which absorb tensile forces, lightweight structures can be created. The research involved experimenting with clay mixtures, several thread types, knitting methods and spraying techniques, as well as fabricating a 1:1 lightweight module as an architectural prototype.

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Section: Discussionmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Fabricating lightweight ceramics by spraying clay on knitted structures

Gosch

Jauk

Vašatko

et al. 2022

International Journal of Architectural Computing

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“…In such cases, 1:1 scale prototyping has proven to be a valuable method for understanding the behavior of the structure. By comparing the produced physical artifact with the digital design through a digitally scanned model of point cloud, researchers gain insights and refine the simulation accordingly 2,5,6,33,34 . Although, theprocess of prototyping can be tedious and time-consuming, especially when searching for suitable stiffness values.…”

Section: Methods For Simulation Evaluationmentioning

confidence: 99%

Simulation Calibration Of Differentiated Knitted Membranes With Evolutionary Optimisation Tools

Sinke,

Tamke,

Thomsen

2023

XI Textile Composites and Inflatable Structures

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Knit, with its inherent flexibility and ability to integrate bespoke material performance, creates a promising alternative to traditionally woven membranes in architectural textile applications. The CNC-knitting technology allows for the manufacturing of membranes with gradient expansion properties by numerically controlling the distribution of varied stitches. In architectural knitted structures, material programming is used to achieve complex bespoke three-dimensional surfaces at a large scale, with a minimum residual waste during continuous digital manufacturing 2-4 . This permits to depart from the cut-pattern-based strategy commonly used for woven non-expandable membranes while allowing for the integration of multiple material properties in a single production process.

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“…El modelo ANN (Artificial Neural Networks) se prueba para predecir los resultados de la simulación, lo que ahorra tiempo de cálculo, pero lo más importante es que, como método, tiene la capacidad de proporcionar un marco para interpretar datos y descubrir el comportamiento del sistema mediante la identificación de los factores clave. Al mismo tiempo, es útil para formalizar comprensiones intuitivas, lo que Tamke et al (2017 se refieren a extender la intuición del diseño. La ventaja de integrar sistemas de diseño inteligente es que pueden analizar, procesar y transformar el diseño, ampliando la capacidad de trabajar en dominios de conocimiento y tener potencial para innovar la práctica existente: "El modelo se convierte en un motor analítico-creativo en el que se pueden incorporar datos externos portados y analizados o generados internamente para crear la base para prácticas de diseño inteligente" (Tamke & Thomsen, 2018).…”

Section: De La Intuición a La Precisión Y A La Intuición Extendidaunclassified

“…Dada una estructura de cáscara mínima tubular parametrizada en equilibrio estático y un conjunto de condiciones ponderadas para los nodos y bordes de la malla, se prueban varios algoritmos de segmentación, provenientes de la teoría de grafos (Nejur & Steinfeld, 2016, 2017, para discretizar efectivamente la malla topológica dada. Pesos personalizados aplicados a los bordes utilizando el algoritmo Orange Peel (OPE) para generar ondas, siguiendo algoritmos de segmentación primaria y secundaria.…”

Section: Definir Los Patrones Para La Fabricaciónunclassified