Lecture Series: Dr David Jourdan, Centre Inria Nancy

Model of a fabric structure with plastic figures for scale

Computational design of self-shaping textiles

Date: Wednesday 2nd November 2022, 1.30pm Reilly lecture room 

Introduced by Asterios Agkathidis

Click here to watch a video of this event.

3D printing onto pre-stretched fabric has recently gained popularity as a technique to create self-shaping textiles which can deploy into freeform shapes when the fabric is released. The morphing behaviour of this composite material is due to a combination of intrinsic and extrinsic geometric transformations, the deposited plastic is both frustrating the metric of the textile and forming a bilayer with its substrate.  

In this talk, I will show how to leverage these observations to create specific geometries with self-shaping textiles, by printing small and repetitive elements which can influence both the metric of the deployed surfaces and their bending behaviour. We will see that these self-shaping textiles can be either designed by form-finding for a specific layout using physics-based simulations, or by form-prescribing: using an optimization algorithm we can find the optimal layout to be printed to reproduce a given 3D shape.

Biography: David Jourdan of University Marseilles

David is a postdoctoral researcher working in the Inria MFX team in Nancy, France.

His work focuses on the computational design and fabrication of self-actuated structure. David is  broadly interested in computer graphics, geometry processing and simulation and especially in exploiting the links between geometry and physics to create computational design algorithms