Engineering snags for spatial curvature in weaves: Fabrication, mechanics, and inverse design

TL;DR

This paper introduces a novel method to create complex 3D shapes in woven textiles by intentionally introducing defects called 'snags', enabling new applications in soft robotics and wearable devices.

Contribution

It presents a fabrication technique, a mechanics model, and an inverse design algorithm for engineering spatial curvature in plain weaves using controlled snag patterns.

Findings

Snags induce global curvature through geometric frustration.

The curvature scales with ribbon thickness and Young's modulus.

Inverse design can produce tailored 3D woven structures.

Abstract

Weaving as an old craft has extensive applications in modern science and technology such as smart textiles and intelligent soft robots. However, weaving irregular curved surfaces has been difficult, with prior alternatives requiring curved ribbons and triaxial weaving patterns. In this work, we present a simple strategy to achieve complex spatial curvature by purposely introducing 'snags', a traditionally unwanted textile defect, into dense plain weaves consisting of straight ribbons assembled in a straightforward biaxial network. We detail the fabrication methodology where we pull out ribbons of initially smooth two- (2D) and three-dimensional (3D) plain weaves to form local snags. We show that these local defects cause global curvatures through the propagation of geometric frustration. We then use a reduced-order bar & hinge model to simulate the mechanics-guided deformation of snagged plain weaves, and we investigate how the curvature scales with system parameters such as the thickness and Young's modulus of the ribbons. Finally, we introduce an inverse design platform where an evolutionary algorithm is used to inversely compute the optimal snag patterns of smooth plain weaves to approximate arbitrary target surfaces including 2D and 3D woven exoskeletons that fit human legs and elbows, respectively. Engineering snags in plain weaves as a general strategy can pave the way for future design of customizable wearable devices, adaptive soft robots, reconfigurable architecture, and more.