Robotic Drop-Coating Graphite–Copper PDMS Soft Pressure Sensor with Fabric-Integrated Electrodes for Wearable Devices

Flexible pressure sensors are essential for wearable electronics, human-machine interfaces, and soft robotics. However, conventional Polydimethylsiloxane (PDMS)-based sensors often suffer from limited conductivity, poor filler dispersion, and low structural integration with textile substrates. In this work, we present a robotic drop-coating approach for fabricating graphite-copper nanoparticle (G-CuNP)/PDMS composite pressure sensors with textile-integrated electrodes. By precisely controlling droplet deposition, a three-layer sandwiched structure was realized that ensures uniformity and scalability while avoiding the drawbacks of conventional full-line coating. The effects of filler loading and graphite nanoparticle (GNP) and copper nanoparticle (CuNP) ratios were systematically investigated, and the optimized sensor was obtained at 40 wt% total fillers with a graphite content of 55 wt%. The fabricated device exhibited high sensitivity in the low-pressure region, stable performance in the medium- and high-pressure ranges, and an exponential saturation fitting with <i>R</i><sup>2</sup> = 0.998. The average hysteresis was 7.42%, with excellent cyclic stability over 1000 loading cycles. Furthermore, a hand-shaped sensor matrix composed of five distributed sensing units successfully distinguished grasping behaviors of lightweight and heavyweight objects, demonstrating multipoint force mapping capability. This study highlights the advantages of robotic drop-coating for scalable fabrication and provides a promising pathway toward low-cost, reliable, and wearable soft pressure sensors.

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Publication Details

Journal
Micromachines
Published
2025-10-31
DOI
https://doi.org/10.3390/mi16111247
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Robotic Drop-Coating Graphite–Copper PDMS Soft Pressure Sensor with Fabric-Integrated Electrodes for Wearable Devices

Chenghong Lu, Yunhao Zhang, Zhanqing Pu, Daisuke Miyata et al.
Micromachines
Advanced Sensor and Energy Harvesting Materials
article

Robotic Drop-Coating Graphite–Copper PDMS Soft Pressure Sensor with Fabric-Integrated Electrodes for Wearable Devices

Chenghong Lu, Yunhao Zhang, Zhanqing Pu, Daisuke Miyata, Lingpu Ge, Zeping Yu, Lei Jing
article en

Abstract

Flexible pressure sensors are essential for wearable electronics, human-machine interfaces, and soft robotics. However, conventional Polydimethylsiloxane (PDMS)-based sensors often suffer from limited conductivity, poor filler dispersion, and low structural integration with textile substrates. In this work, we present a robotic drop-coating approach for fabricating graphite-copper nanoparticle (G-CuNP)/PDMS composite pressure sensors with textile-integrated electrodes. By precisely controlling droplet deposition, a three-layer sandwiched structure was realized that ensures uniformity and scalability while avoiding the drawbacks of conventional full-line coating. The effects of filler loading and graphite nanoparticle (GNP) and copper nanoparticle (CuNP) ratios were systematically investigated, and the optimized sensor was obtained at 40 wt% total fillers with a graphite content of 55 wt%. The fabricated device exhibited high sensitivity in the low-pressure region, stable performance in the medium- and high-pressure ranges, and an exponential saturation fitting with <i>R</i><sup>2</sup> = 0.998. The average hysteresis was 7.42%, with excellent cyclic stability over 1000 loading cycles. Furthermore, a hand-shaped sensor matrix composed of five distributed sensing units successfully distinguished grasping behaviors of lightweight and heavyweight objects, demonstrating multipoint force mapping capability. This study highlights the advantages of robotic drop-coating for scalable fabrication and provides a promising pathway toward low-cost, reliable, and wearable soft pressure sensors.

MicromachinesVol. 16(11)
Kyushu University (JP), University of Aizu (JP)
Openalex Percentile: Top 69%
Advanced Sensor and Energy Harvesting Materials
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