Unravelling the Mechanics of Knitted Fabrics Through Hierarchical Geometric Representation
Xiaoxiao Ding, Vanessa Sanchez, Katia Bertoldi, Chris H. Rycroft
TL;DR
Knitted fabrics are hierarchical, with mechanics driven by yarn-scale dynamics; the work formulates a yarn-based model to capture nonlinear extensibility and anisotropy arising from geometric rearrangements, using a centerline representation by cubic B-splines with $N$ segments. The dynamics follow a Lagrangian framework with kinetic energy $T$, potential energy $V=V^{s}+V^{b}+V^{g}$, and damping $D$, and include yarn-yarn contact modeled by discrete-sphere envelopes. Validation against uniaxial tests on jersey, garter, rib, and seed samples shows a characteristic two-stage J-shape response and topology-dependent anisotropy; the model also reveals that yarn rearrangements dominate the initial compliant regime. This computational approach enables design of mechanically programmable fabrics and 2D/3D textiles compatible with manufacturing for wearable devices and soft robotics.
Abstract
Knitting interloops one-dimensional yarns into three-dimensional fabrics that exhibit behaviours beyond their constitutive materials. How extensibility and anisotropy emerge from the hierarchical organisation of yarns into knitted fabrics has long been unresolved. We sought to unravel the mechanical roles of tensile mechanics, assembly and dynamics arising from the yarn level on fabric nonlinearity by developing a yarn-based dynamical model. This physically validated model captures the fundamental mechanical response of knitted fabrics, analogous to flexible metamaterials and biological fiber networks due to geometric nonlinearity within such hierarchical systems. Fabric anisotropy originates from observed yarn-yarn rearrangements during alignment dynamics and is topology-dependent. This yarn-based model also provides a design space of knitted fabrics to embed functionalities by varying geometric configuration and material property in instructed procedures compatible to machine manufacturing. Our hierarchical approach to build up a knitted fabrics computationally modernizes an ancient craft and represents a first step towards mechanical programmability of knitted fabrics in wide engineering applications.
