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Keywords = auxetic knitted structures

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19 pages, 7093 KB  
Article
Design and Evaluation of Adaptive Clothing for Diverse Body Shapes Using Auxetic Knitted Structures
by Aqsa Imran, Muhammad Babar Ramzan, Sheheryar Mohsin Qureshi, Maham Raza and Shahood uz Zaman
Textiles 2026, 6(2), 44; https://doi.org/10.3390/textiles6020044 - 7 Apr 2026
Viewed by 647
Abstract
Traditional ready-to-wear garments can mostly not conform to different body shapes because of the adoption of the generic sizing system, which leads to the local strain of concentration and morphological misfit. Auxetic structures, which have a negative Poisson’s ratio, permit enhanced redistribution of [...] Read more.
Traditional ready-to-wear garments can mostly not conform to different body shapes because of the adoption of the generic sizing system, which leads to the local strain of concentration and morphological misfit. Auxetic structures, which have a negative Poisson’s ratio, permit enhanced redistribution of stress and geometry and allow deformation. Two auxetic knitted structures were developed by using 100% polyester and 100% nylon yarns with a fabric density of 41 Wales and 40 courses per inch. Characterization of the initial fabrics involved checking the behavior of negative Poisson’s ratio (NPR) where the polyester line (P1) structure shows the highest auxeticity, with a NPR of approximately −0.4 and peak strain reductions of 80–90%, as well as air permeability, moisture management, bend test, compression, roughness, friction properties and stiffness tests to check the mechanical and comfort-related performances. The standardized tunic garment was modeled in CLO 3D on three female body shapes—hourglass, pear and rectangle—with a constant size of 34. The fit map showed a strain of 91.49% in auxetic and 509.75% in single-jersey fabric at the hip area of the pear body shape when measuring fabric and body interaction. The findings indicate lower peak strain levels, which ascertain that increased adaptability is possible and support its use in the development of adaptive ready-to-wear garments. Full article
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11 pages, 2170 KB  
Article
Low-Velocity Impact Response of Auxetic Seamless Knits Combined with Non-Newtonian Fluids
by Vânia Pais, Pedro Silva, João Bessa, Hernâni Dias, Maria Helena Duarte, Fernando Cunha and Raul Fangueiro
Polymers 2022, 14(10), 2065; https://doi.org/10.3390/polym14102065 - 19 May 2022
Cited by 11 | Viewed by 2662
Abstract
Low-velocity impact can cause serious damage to the person or structure that is hit. The development of barriers that can absorb the energy of the impact and, therefore, protect the other side of the impact is the ideal solution for the pointed situation. [...] Read more.
Low-velocity impact can cause serious damage to the person or structure that is hit. The development of barriers that can absorb the energy of the impact and, therefore, protect the other side of the impact is the ideal solution for the pointed situation. Auxetic materials and shear thickening fluids are two types of technologies that have great capabilities to absorb high levels of energy when an impact happens. Accordingly, within this study, the combination of auxetic knits with shear thickening fluids by the pad-dry-cure process was investigated. It was observed that, by applying knits with auxetic patterns produced with denser materials and combined with the shear thickening fluids, high performance in terms of absorbed energy from puncture impact is obtained. The increment rates obtained are higher than 100% when comparing the structures with and without shear thickening fluids. Full article
(This article belongs to the Special Issue Advances in Textile Structural Composites)
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15 pages, 5792 KB  
Article
Poly(ε-Caprolactone) Resorbable Auxetic Designed Knitted Scaffolds for Craniofacial Skeletal Muscle Regeneration
by Monica V. Deshpande, Andre J. West, Susan H. Bernacki, Kun Luan and Martin W. King
Bioengineering 2020, 7(4), 134; https://doi.org/10.3390/bioengineering7040134 - 24 Oct 2020
Cited by 22 | Viewed by 4549
Abstract
Craniofacial microsomia is a congenital deformity caused by asymmetric development of the skull (cranium) and face before birth. Current treatments include corrective surgery and replacement of the deformed structure using autograft tissue, which results in donor site morbidity. An alternative therapy can be [...] Read more.
Craniofacial microsomia is a congenital deformity caused by asymmetric development of the skull (cranium) and face before birth. Current treatments include corrective surgery and replacement of the deformed structure using autograft tissue, which results in donor site morbidity. An alternative therapy can be achieved by developing a resorbable scaffold for skeletal muscle regeneration which will help restore the symmetry and function of the facial muscles and reduce donor site morbidity. Two resorbable weft knitted scaffolds were fabricated using poly(ε-caprolactone) multifilament yarns with unique auxetic design structures possessing negative Poisson’s ratio (NPR). These scaffolds exhibit their NPR elasticity through an increase in total volume as well as no lateral narrowing when stretched longitudinally, which can provide orientated mechanical supports to the cell growth of skeletal muscle regeneration. These scaffolds were evaluated for the required physical properties, mechanical performance and biocompatibility by culturing them with neonatal human dermal fibroblasts so as to determine their cell metabolic activity, cell attachment and proliferation. This study can facilitate the understanding and engineering of textile-based scaffolds for tissues/organs. The work also paves a pathway to emerge the NPR textiles into tissue engineering, which has an extensive potential for biomedical end-uses. Full article
(This article belongs to the Special Issue Advances in Skeletal Muscle Tissue Engineering)
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13 pages, 1724 KB  
Article
Self-Folding Textiles through Manipulation of Knit Stitch Architecture
by Chelsea E. Knittel, Diana S. Nicholas, Reva M. Street, Caroline L. Schauer and Genevieve Dion
Fibers 2015, 3(4), 575-587; https://doi.org/10.3390/fib3040575 - 15 Dec 2015
Cited by 28 | Viewed by 21155
Abstract
This research presents a preliminary study on finding predictable methods of controlling the self-folding behaviors of weft knit textiles for use in the development of smart textiles and garment devices, such as those with shape memory, auxetic behavior or transformation abilities. In this [...] Read more.
This research presents a preliminary study on finding predictable methods of controlling the self-folding behaviors of weft knit textiles for use in the development of smart textiles and garment devices, such as those with shape memory, auxetic behavior or transformation abilities. In this work, Shima Seiki SDS-One Apex computer-aided knitting technology, Shima Seiki industrial knitting machines, and the study of paper origami tessellation patterns were used as tools to understand and predict the self-folding abilities of weft knit textiles. A wide range of self-folding weft knit structures was produced, and relationships between the angles and ratios of the knit and purl stitch types were determined. Mechanical testing was used as a means to characterize differences produced by stitch patterns, and to further understand the relationships between angles and folding abilities. By defining a formulaic method for predicting the nature of the folds that occur due to stitch architecture patterns, we can better design self-folding fabrics for smart textile applications. Full article
(This article belongs to the Special Issue Smart Textiles)
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