The short-term aim of this R&D project (financed by the Centre of Expertise Creative Industries) is to develop a virtually simulated textile database that renders 3D visual representations of these fabrics. The idea is for this database to be open source and be able to interface with 3D design applications such as those of Lectra. The textile database will include a number of different digital datasets per textile that contain information about the fabric’s drape, weight, flexibility etc., to virtually render prototypes in a 3D simulated environment. As such, in building garments via a 3D software design application, designers will be able to see how a garment changes as new textiles are applied, and how textiles behave when constructed as different garments. This will take place on 3D avatars, which may be bespoke body scans, and will allow for coordinated and precise fitting and grading.
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Anyone who has watched a child play with soft semi-liquid materials like honey, frosting, or slime, sees the fascinating interplay between design and physics. Many of us remember these experiences from our own childhood (or maybe not that long ago). These materials dribble and coil as they stack upon themselves when we drop them onto surfaces like cakes from small heights. This ludic behavior represents a physical phenomenon known as rope coiling. Recent research in 3D printing of clay and plastic has started to wonder how rope coiling can be leveraged to create new textures and textile-like structures through non-planar 3D Printing. These provide new tactile experiences in objects like cups and visual experiences in things like lamps. In this demonstrator, we invite researchers and practitioners to return to their childhood and dribble edible materials to understand how to advance additive manufacturing through interactive printing.
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From the article: Abstract Adjustment and testing of a combination of stochastic and nonstochastic observations is applied to the deformation analysis of a time series of 3D coordinates. Nonstochastic observations are constant values that are treated as if they were observations. They are used to formulate constraints on the unknown parameters of the adjustment problem. Thus they describe deformation patterns. If deformation is absent, the epochs of the time series are supposed to be related via affine, similarity or congruence transformations. S-basis invariant testing of deformation patterns is treated. The model is experimentally validated by showing the procedure for a point set of 3D coordinates, determined from total station measurements during five epochs. The modelling of two patterns, the movement of just one point in several epochs, and of several points, is shown. Full, rank deficient covariance matrices of the 3D coordinates, resulting from free network adjustments of the total station measurements of each epoch, are used in the analysis.
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