Unravelling the mechanics of knitted fabrics through hierarchical geometric representation

Author:

Ding Xiaoxiao12ORCID,Sanchez Vanessa13ORCID,Bertoldi Katia1ORCID,Rycroft Chris H.24ORCID

Affiliation:

1. Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, MA 02138, USA

2. Department of Mathematics, University of Wisconsin–Madison , Madison, WI 53706, USA

3. Department of Chemical Engineering, Stanford University, 443 Via Ortega , Stanford, CA 94305, USA

4. Computational Research Division, Lawrence Berkeley Laboratory, 1 Cyclotron Road , Berkeley, CA 94720, USA

Abstract

Knitting interloops one-dimensional yarns into three-dimensional fabrics that exhibit behaviour beyond their constitutive materials. How extensibility and anisotropy emerge from the hierarchical organization of yarns into knitted fabrics has long been unresolved. We seek 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 mechanical response of knitted fabrics, analogous to flexible metamaterials and biological fibre 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 fabric computationally modernizes an ancient craft and represents a first step towards mechanical programmability of knitted fabrics in wide engineering applications.

Funder

National Science Foundation

National Defense Science and Engineering Graduate

Publisher

The Royal Society

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