2 research outputs found
Computational paper wrapping transforms non-stretchable 2D devices into wearable and conformable 3D devices
This study starts from the counter-intuitive question of how we can render a
conventional stiff, non-stretchable and even brittle material conformable so
that it can fully wrap around a curved surface, such as a sphere, without
failure. Here, we answer this conundrum by extending geometrical design in
computational kirigami (paper cutting and folding) to paper wrapping. Our
computational paper wrapping-based approach provides the more robust and
reliable fabrication of conformal devices than paper folding approaches. This
in turn leads to a significant increase in the applicability of computational
kirigami to real-world fabrication. This new computer-aided design transforms
2D-based conventional materials, such as Si and copper, into a variety of
targeted conformal structures that can fully wrap the desired 3D structure
without plastic deformation or fracture. We further demonstrated that our novel
approach enables a pluripotent design platform to transform conventional
non-stretchable 2D-based devices, such as electroluminescent lighting and a
paper battery, into wearable and conformable 3D curved devices
Planning Folding Motion with Simulation in the Loop Using Laser Forming Origami and Thermal Behaviors as an Example
Designing a robot or structure that can fold itself into a target shape is a
process that involves challenges originated from multiple sources. For example,
the designer of rigid self-folding robots must consider foldability from
geometric and kinematic aspects to avoid self-intersection and undesired
deformations. Recent works have shown success in estimating foldability of a
design using robot motion planners. However, many foldable structures are
actuated using physically coupled reactions (i.e., folding originated from
thermal, chemical, or electromagnetic loads). Therefore, a reliable foldability
analysis must consider additional constraints that resulted from these critical
phenomena. This work investigates the idea of efficiently incorporating
computationally expensive physics simulation within the folding motion planner
to provide a better estimation of the foldability. In this paper, we will use
laser forming origami as an example to demonstrate the benefits of considering
the properties beyond geometry. We show that the design produced by the
proposed method can be folded more efficiently