Topological Defect Propagation to Classify Knitted Fabrics

TL;DR

This paper introduces a topological framework to classify knitted fabrics, linking manufacturing processes with structural properties and enabling the design of damage-resistant textiles.

Contribution

It presents a novel topological criterion for distinguishing knits from other textiles and demonstrates how defect propagation can be used to control fabric resilience.

Findings

Topological constraints effectively classify knitted structures.

Defect propagation influences fabric fragility and resilience.

Design principles for damage-resistant textiles are established.

Abstract

Knits and crochets are mechanical metamaterials with a long history and can typically be produced from a single yarn. Despite the simplicity of the manufacturing process, they exhibit a wide range of structural configurations with diverse mechanical properties and application potential. Although there has been recent growing interest in textile-based metamaterials, a rigorous topological characterization of what makes a structure knittable has been lacking. In this paper, we introduce a general criterion based on topological constraints that distinguishes knits and crochets from other textile structures. We demonstrate how the introduction of topological defects and their propagation makes this classification practical. Our approach highlights a fundamental link between manufacturing processes and structural fragility. Within this framework, we show how the rationalization of defect propagation unlocks the design of fabrics with controllable resistance to damage.