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Characterizing and predicting the self-folding behavior of weft-knit fabrics
Journal article   Open access   Peer reviewed

Characterizing and predicting the self-folding behavior of weft-knit fabrics

Chelsea Amanatides, Oana Ghita, Ken E Evans and Genevieve Dion
Textile research journal, p4051752210996
19 May 2022
DOI: https://doi.org/10.1177/00405175221099670
url
https://hdl.handle.net/10871/129727View
Accepted (AM) Open Open Access (License Unspecified)

Abstract

Self-folding behavior is an exciting property of weft-knit fabrics that can be created using just front and back stitches. This behavior is easy to create, but not easy to anticipate and currently cannot be predicted by the existing computer-aided design software that controls industrial knitting machines. This work identifies the edge deformation behaviors that lead to self-folding in weft knits, and methods to characterize the mechanical forces driving these behaviors with regard to chosen manufacturing parameters. With this data and analysis of the fabric deformations, the self-folding behavior was purposely controlled using calculated scaling factors. Furthermore, theoretical equations were developed to mathematically predict these scaling factors, minimizing the trial and error required to design with self-folding behavior and create textiles with novel engineered properties. By understanding the mechanisms responsible for creating these three-dimensional self-folding textiles, they can then be designed in a programmable manner for use in technical applications.

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15 Record Views
9 citations in Web of Science
5 citations in Scopus

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Materials Science, Textiles
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