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February 19, 2026Advanced Engineering Materials0 citationsOpen Access

Impact of Textile Architecture on the Electromechanical Behavior of Conductive Carbon: Silicone Composite Strain Sensors

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GAGabriela AnanievaGSGiulia SpallanzaniPZPeter Zalar

Key Points

  • The aim is to enhance the performance of stretchable strain sensors by integrating them with textile architecture.
  • Developed a stretchable carbon black composite strain sensor via stencil printing on textile.
  • Investigation of knit structures, including double weft and double warp, on sensor properties.
  • Assessment of initial resistance and gauge factor relative to stitch density.
  • Knit structure significantly affects sensor uniformity, dimensional stability, and stretchability.
  • Yarn morphology influences the hysteresis effect.
  • Stitch density inversely correlates with initial resistance and gauge factor.

Abstract

Stretchable strain sensors can be used to track motion or biophysical stimuli in a variety of applications, yet their adoption is hindered by complex fabrication processes and unpredictable electromechanical behavior. To overcome this limitation, we have integrated a stretchable carbon black composite consisting of commercially available materials directly onto a textile using stencil printing to realize a strain sensor. We find that the knit structure significantly influences sensor uniformity, dimensional stability, and stretchability, while yarn morphology dictates the hysteresis effect. This is demonstrated using a double weft (1 × 1 rib) and a double warp (tricot) knit. The stitch density of the textile is inversely proportional to the sensor's initial resistance and to the gauge factor, irrespective of the textile's mechanical or chemical properties. This study presents a novel model for estimating nominal resistance at a given strain near the percolation threshold, using solely the textile architecture, which can greatly assist in the development of wearable electronics in textiles.

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Cite This Study

Ananieva et al. (2026) studied this question.

synapsesocial.com/papers/6996a879ecb39a600b3ef365https://doi.org/10.1002/adem.202500290
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