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Original scientific paper

From Design to Function: Inkjet-Printed Conductive Patterns for Smart Textiles

Manja Kurečič ; University of Maribor, Faculty of mechanical engineering, Maribor, Slovenia *
Lidija Škodič ; University of Maribor, Faculty of mechanical engineering, Maribor, Slovenia
Tanja Kos ; University of Maribor, Faculty of mechanical engineering, Maribor, Slovenia
Darko Štanc ; University of Maribor, Faculty of mechanical engineering, Maribor, Slovenia
Taja Kerčmar ; University of Maribor, Faculty of mechanical engineering, Maribor, Slovenia
Laura Berglez ; University of Maribor, Faculty of electrical engineering and computer science, Maribor, Slovenia
Silvo Hribernik ; University of Maribor, Faculty of electrical engineering and computer science, Maribor, Slovenia

* Corresponding author.


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Abstract

Smart textiles enable the integration of sensors and conductive pathways into flexible wearable systems for real-time monitoring. Within the national WIBRANT project, an innovative wearable smart brace for non-invasive monitoring and rehabilitation of muscular disorders was developed. This study focuses on the development of conductive patterns on a stretchable knitted fabric using inkjet printing with commercial PEDOT:PSS conductive ink. Printing parameters were first optimized on hydrophobic photo paper and subsequently adapted to the textile substrate. The influence of printed line length and number of deposited layers on electrical resistance was evaluated, while optical microscopy was used to assess print quality and ink distribution. The results demonstrated well-defined conductive patterns without significant bleeding. Electrical resistance increased with line length, whereas increasing the number of printed layers reduced resistance. The optimized process was successfully applied to produce a sensor matrix and a functionally designed conductive pattern for integration into the smart muscle brace.

Keywords

muscle injuries; flexible electronics; conductive printing; sensory systems; ink-jet technology

Hrčak ID:

351003

URI

https://hrcak.srce.hr/351003

Publication date:

28.12.2025.

Article data in other languages: croatian

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