Experimental and numerical study of helical auxetic yarns

Research output: Contribution to journalArticlepeer-review


Auxetic materials, including textiles, exhibit a negative Poisson’s ratio (NPR), which is of interest for many applications. This research aims to optimize the structural parameters of helical auxetic yarns (HAYs) and to evaluate the auxetic performance of these yarns. The research reports on the improvement of auxetic yarn quality and the yarn auxeticity through studying the effect of helical angles, diameter ratio and tensile moduli of the two plies, as well as the binder filament feeding. The maximum NPR of the optimized auxetic yarns was experimentally achieved as low as –9.6, with the helical angle of around 14.0° on average using the optimal machine setting. The optimized yarn parameters enabled the making of high-quality auxetic yarns with a wider range of machine settings than before. In parallel, theoretical and numerical studies were carried out for the engineering design of auxetic yarns, which enabled comparisons among the experimental results, calculated results and results from finite element analysis. The comparison showed that a lower initial helical angle, higher tensile modulus of the wrap ply and lower tensile modulus of the core ply led to a higher auxetic effect. A new finding is reported in that a concave relationship between the diameter ratio and the NPR was discovered. The results of this study could assist researchers in producing HAYs, and this type of HAY could be used for many potential applications, such as filtration and impact protection.

Original languageEnglish
Pages (from-to)1290-1301
Number of pages12
JournalTextile Research Journal
Issue number11-12
Early online date13 Dec 2020
Publication statusPublished - 13 Jun 2021


  • auxetic
  • finite element analysis
  • helical structure
  • negative Poisson’s ratio
  • yarns


Dive into the research topics of 'Experimental and numerical study of helical auxetic yarns'. Together they form a unique fingerprint.

Cite this