Direct 3D-printed triboactive polymer layers on stretchable conductive fabric for high-performance T-TENGs

Printing polymer materials onto fabrics presents significant challenges, particularly due to high-temperature printing requirements and adhesion issues. This investigation presents a novel approach to fabricating high-performance textile-triboelectric nanogenerators (T-TENGs) by direct 3D printing of polymers onto stretchable conductive fabrics using a low-cost fused filament fabrication (FFF) method for wearable energy harvesting and sensing applications. Achieving strong interfacial adhesion between triboactive polymers and flexible conductive fabric substrates remains challenging. This work effectively demonstrates the integration of polypropylene (PP) via direct 3D printing on fabric electrodes, enabling precise surface patterning and enhanced mechanical stability. Systematic evaluations were conducted to assess the impact of surface patterning, single-layer (SL) and double-layer (DL) printing configurations, and varying thicknesses. These studies revealed that surface engineering plays a critical role in optimizing triboelectric properties. The fabricated PP-based T-TENG exhibited a maximum output voltage of approximately 193.3 V, a peak current of around 17 μA and a peak power density of up to 2043 mW/m². Direct 3D printing enabled intimate and uniform bonding between the dielectric layer and the fabric electrode, resulting in higher output than conventional electrode attachment approaches. Notably, the newly developed T-TENGs are highly flexible, scalable, shape-adaptable, washable, and mechanically stable. The successful integration of these T-TENGs into an Internet of Things (IoT)-enabled adaptive touch sensing system demonstrates the real-world applicability. Further, this work advances the potential of self-powered wearable devices for a broad spectrum of applications in healthcare, robotics, and environmental monitoring by enabling real-time tracking and remote monitoring through IoT connectivity. • Direct 3D printing enables intimate, uniform bonding between electrode and dielectric, boosting TENG performance. • Strong PP adhesion to conductive fabric enhances durability and ensures long-term device stability. • Optimized surface micropatterns raise output to 193.3 V, 17 µA, and 2043 mW/m² under mechanical input. • IoT-enabled T-TENG allows real-time tracking and adaptive touch sensing in smart applications. • Washable, flexible, and shape-adaptable structure supports reliable wearable integration.

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Publication Details

Journal
Nano Energy
Published
2025-06-07
DOI
https://doi.org/10.1016/j.nanoen.2025.111218
Citations
15
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
10.11

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article

Direct 3D-printed triboactive polymer layers on stretchable conductive fabric for high-performance T-TENGs

Suresh C. Pillai, Aswathy Babu, George K. Stylios, Christopher O’Hara et al.
15 citations
Nano Energy
Advanced Sensor and Energy Harvesting Materials
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article

Direct 3D-printed triboactive polymer layers on stretchable conductive fabric for high-performance T-TENGs

Suresh C. Pillai, Aswathy Babu, George K. Stylios, Christopher O’Hara, Charchit Kumar, Daniel M. Mulvihill, A. Goswami, Akshaya Kumar Aliyana, Connell Boal
article en
15 citations

Abstract

Printing polymer materials onto fabrics presents significant challenges, particularly due to high-temperature printing requirements and adhesion issues. This investigation presents a novel approach to fabricating high-performance textile-triboelectric nanogenerators (T-TENGs) by direct 3D printing of polymers onto stretchable conductive fabrics using a low-cost fused filament fabrication (FFF) method for wearable energy harvesting and sensing applications. Achieving strong interfacial adhesion between triboactive polymers and flexible conductive fabric substrates remains challenging. This work effectively demonstrates the integration of polypropylene (PP) via direct 3D printing on fabric electrodes, enabling precise surface patterning and enhanced mechanical stability. Systematic evaluations were conducted to assess the impact of surface patterning, single-layer (SL) and double-layer (DL) printing configurations, and varying thicknesses. These studies revealed that surface engineering plays a critical role in optimizing triboelectric properties. The fabricated PP-based T-TENG exhibited a maximum output voltage of approximately 193.3 V, a peak current of around 17 μA and a peak power density of up to 2043 mW/m². Direct 3D printing enabled intimate and uniform bonding between the dielectric layer and the fabric electrode, resulting in higher output than conventional electrode attachment approaches. Notably, the newly developed T-TENGs are highly flexible, scalable, shape-adaptable, washable, and mechanically stable. The successful integration of these T-TENGs into an Internet of Things (IoT)-enabled adaptive touch sensing system demonstrates the real-world applicability. Further, this work advances the potential of self-powered wearable devices for a broad spectrum of applications in healthcare, robotics, and environmental monitoring by enabling real-time tracking and remote monitoring through IoT connectivity. • Direct 3D printing enables intimate, uniform bonding between electrode and dielectric, boosting TENG performance. • Strong PP adhesion to conductive fabric enhances durability and ensures long-term device stability. • Optimized surface micropatterns raise output to 193.3 V, 17 µA, and 2043 mW/m² under mechanical input. • IoT-enabled T-TENG allows real-time tracking and adaptive touch sensing in smart applications. • Washable, flexible, and shape-adaptable structure supports reliable wearable integration.

Nano EnergyVol. 142
University College Dublin (IE), Indian Institute of Technology Madras (IN), Heriot-Watt University (GB), I-Form Advanced Manufacturing Research Centre (IE), Atlantic Technological University (IE), University of Glasgow (GB), Institute of Technology Sligo (IE)
Science Foundation Ireland, Engineering and Physical Sciences Research Council, European Regional Development Fund
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
10.11
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