PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 22, 2026Textiles0 citationsOpen Access

Effects of Yarn Composition and Knitted Macrostructure on the Functional Properties of Smart Textiles with Optical Functionalities

View Full Paper
RARadostina A. AngelovaEBElena BorisovaDSDaniela Sofronova

Key Points

  • To analyze the effects of yarn composition and macrostructure on the performance of smart textiles with optical functionalities.
  • Produced twelve knitted macrostructures from composite yarns with cotton, reflective, and photoluminescent components.
  • Evaluated thickness, air permeability, and reflectance under UV and visible light.
  • Studied different stitch patterns to assess their effects on properties.
  • Knitted macrostructure mainly controls thickness and air permeability.
  • Yarn composition governs the optical response and reflectance performance.
  • Stitch patterns can regulate air permeability independently of optical behaviour.

Abstract

This study analyses the influence of yarn composition and knitted macrostructure on the structural and functional performance of passive smart knitted fabrics with optical functionalities. Twelve knitted macrostructures were produced using folded composite yarns combining cotton, reflective, and photoluminescent components and different stitch patterns. Thickness, air permeability, and reflectance under UV and visible illumination were experimentally evaluated. The results indicate that knitted macrostructure primarily controls thickness and air permeability, whereas optical response is governed by yarn composition. Variations in stitch pattern enable regulation of air permeability independent of optical behaviour, while UV-responsive yarn components dominate reflectance performance. The findings support independent optimisation of structural and optical properties through combined yarn and macrostructural design.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Angelova et al. (2026) studied this question.

synapsesocial.com/papers/69bf393dc7b3c90b18b43ab4https://doi.org/10.3390/textiles6010036
Ask AI
Helpful
Bookmark
Share
View Full Paper