Computational inverse design of surface-based inflatables

We present a computational inverse design method for new class of surface-based inflatable structure. Our deployable structures are fabricated by fusing together two layers inextensible sheet material along carefully selected curves. The curves form network tubular channels that can be inflated with air or other fluids. When fully inflated, the initially flat surface assumes programmed double-curved shape and becomes stiff load-bearing. solves layout that, when best approximate given input design. For this purpose, we integrate forward simulation inflation gradient-based optimization algorithm continuously adapts geometry to improve objectives. To initialize non-linear optimization, propose novel flattening algorithm. channel is it approximately maintains its length, but contracts transversally main direction. approximates deformation behavior computing mapping from 3D plane allows anisotropic metric scaling within bounds realizable physical system. show wide variety designs fabricate several prototypes validate our approach highlight potential applications.