FabricMetrics
Financiado
Computer Aided Fashion with Yarn Level Fabric Models
The Animetrics ERC Starting Grant has led to the invention of the first computer models capable of simulating in an accurate, efficient and robust manner the behavior of full textiles using a yarn-level representation. The propose...
The Animetrics ERC Starting Grant has led to the invention of the first computer models capable of simulating in an accurate, efficient and robust manner the behavior of full textiles using a yarn-level representation. The proposed models handle frictional yarn interactions at the small scale, yet they naturally produce the rich large-scale nonlinearity of textiles. In contrast, models used in the fashion, engineering, or VFX industries nowadays, describe textiles as a continuum, and do not reach the accuracy required for validating the mechanical behavior and visual appearance of cloth.
The FabricMetrics project will develop a commercial prototype that will leverage yarn-level fabric models, and will enable digital testing of designs, utilize economic and renewable materials while achieving desired mechanical properties, or explore the design space of textiles until the desired fit, drape and flow are achieved. The project plan includes the development of the commercial prototype, testing phases, establishment of connections and alliances with potential customers (fashion schools and fashion companies), and the refinement of the current business plan.
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Duración del proyecto: 27 meses
Fecha Inicio: 2016-03-30
Fecha Fin: 2018-06-30
Fecha Fin: 2018-06-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2018-06-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-PoC-2015:
ERC Proof of Concept Grant
Cerrada
hace 9 años
Presupuesto
El presupuesto total del proyecto asciende a
150K€
Líder del proyecto
Universidad Rey Juan Carlos
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
1102
Total investigadores
1102