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Garments elongation improvement: The use of digital fabrication technology to develop rotational and re-entering auxetic designs on fabrics

Authors: Zorrilla, Pamela; Velásquez, Raúl; Carrión, Naldi; Valerio, Jorge;

Garments elongation improvement: The use of digital fabrication technology to develop rotational and re-entering auxetic designs on fabrics

Abstract

The usage of auxetic patterns is growing in different industries from aeronautics to fashion. However, the development of these structures in fabrics for garments is still recent and there are few businesses using these technologies to enhance common garments. We propose to test modified fabrics with laser cut of the patterns for improving its elongation properties. Since there are many kinds of fabrics used in the fashion industry, abrasion and elastic recovery were the main features to be considered for choosing standard clothes fabrics. Looking to test fabrics that could represent most of the kind of fabrics in the market 3 were selected as they fit the properties mentioned and were classified as rigid, suede and semi rigid fabrics respectively The design of the pattern was extracted from a research on auxetic patterns on metamaterials and tested each fabric to choose one, depending on its behavior, that can be used in a garment. The tensile strength and elongation were tested giving elongation ratios from over 100% and revealing different resistances in the samples depending on the direction of the pattern and the type of fabric.

Authors submitted the paper with wrong sequence of authors and requested rectification on 26 August 2021. This version hase been made closed access subsequently.

Keywords

laser cutter, digital fabrication, Auxetic structures, garment expansion

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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