A Comparative Study on the Pattern Effect of Screen‐Printed Carbon Nanotubes/Cellulose Nanocrystals Strain Sensors

ABSTRACT One‐step fabrication technique for printing piezoresistive strain sensors on glass fiber‐reinforced polymers (GFRPs) using a scalable screen‐printing method was demonstrated. Using cellulose nanocrystals to disperse carbon nanotubes (CNTs) in an aqueous medium, various inks were prepared and tested for shear thinning, thixotropic, and viscoelastic properties. Turning the ink consistency from liquid‐like to paste‐like led to printability on the surface of GFRPs. The electrical stability of the printed sensors was evaluated by testing different thicknesses under various conditions. Results showed that electrical stability depended on the number of printed layers and applied voltage. Furthermore, the influence of pattern design on the sensors' electromechanical performance was studied for line, grid, o‐line, and omnidirectional patterns. During cyclic tensile loading, the pattern geometry affected both reliability and sensitivity, whereas linearity remained unaffected. Reliability and sensitivity demonstrated strain‐dependent behavior, while linearity improved due to additional linear piezoresistive contribution from individual CNT‐bridging. Additionally, the omnidirectional sensors were printed at three different angles and subjected to cyclic loading, revealing their ability to detect strains from multiple directions. It was also visually demonstrated that the sensors can detect tensile and compressive strains resulting from bending, showing good potential for structural health monitoring of advanced structures.

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Publication Details

Journal
Polymer Composites
Published
2026-03-16
DOI
https://doi.org/10.1002/pc.70962
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

A Comparative Study on the Pattern Effect of Screen‐Printed Carbon Nanotubes/Cellulose Nanocrystals Strain Sensors

Onur Zırhlı, Hülya Cebeci, Deniz Köken, Fevzi Çakmak Cebeci et al.
Polymer Composites
Advanced Sensor and Energy Harvesting Materials
article

A Comparative Study on the Pattern Effect of Screen‐Printed Carbon Nanotubes/Cellulose Nanocrystals Strain Sensors

Onur Zırhlı, Hülya Cebeci, Deniz Köken, Fevzi Çakmak Cebeci, Adel Alrai, Kaan Yildiz, Asya Yildiz
article en

Abstract

ABSTRACT One‐step fabrication technique for printing piezoresistive strain sensors on glass fiber‐reinforced polymers (GFRPs) using a scalable screen‐printing method was demonstrated. Using cellulose nanocrystals to disperse carbon nanotubes (CNTs) in an aqueous medium, various inks were prepared and tested for shear thinning, thixotropic, and viscoelastic properties. Turning the ink consistency from liquid‐like to paste‐like led to printability on the surface of GFRPs. The electrical stability of the printed sensors was evaluated by testing different thicknesses under various conditions. Results showed that electrical stability depended on the number of printed layers and applied voltage. Furthermore, the influence of pattern design on the sensors' electromechanical performance was studied for line, grid, o‐line, and omnidirectional patterns. During cyclic tensile loading, the pattern geometry affected both reliability and sensitivity, whereas linearity remained unaffected. Reliability and sensitivity demonstrated strain‐dependent behavior, while linearity improved due to additional linear piezoresistive contribution from individual CNT‐bridging. Additionally, the omnidirectional sensors were printed at three different angles and subjected to cyclic loading, revealing their ability to detect strains from multiple directions. It was also visually demonstrated that the sensors can detect tensile and compressive strains resulting from bending, showing good potential for structural health monitoring of advanced structures.

Polymer Composites
Sabancı Üniversitesi (TR), Turkish Academy of Sciences (TR), Institute of Nanotechnology (GB), Turkish Aerospace Industries (Turkey) (TR), Istanbul Technical University (TR)
Openalex Percentile: Top 19%
Advanced Sensor and Energy Harvesting Materials
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