Adaptive 3D printing of moldable conductive polymer composite for highly sensitive soft sensors with a broad working range

Conductive putty-like polymer composites have recently received considerable attention in wearable electronics, soft robotics, and energy storage due to their unique electrical and mechanical properties. Their viscoelasticity enables direct 3D printing of intricate, customizable conductive pathways, yet printing in high-viscosity polymer solutions remains challenging. Inspired by clay, we develop a moldable conductive polymer composite (MCPC) with tunable viscoelasticity, shear-thinning behavior, and high conductivity by blending liquid Ecoflex with graphite powders. By extruding MCPC onto liquid Ecoflex of various viscosities, we demonstrate a facile strategy for fabricating soft sensors with spatially controlled conductive pathways. These sensors exhibit a wide strain response (0.05%-150%), high sensitivity (gauge factor >15000), and nearly 100% electrical repeatability over 1000 cycles. They reliably monitor human movement and control robotic hands. Our approach provides a new strategy for fabricating soft sensors with enhanced mechanical and electrical properties, expanding possibilities for next-generation wearable and bio-integrated technologies.

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Publication Details

Journal
npj Flexible Electronics
Published
2026-01-08
DOI
https://doi.org/10.1038/s41528-025-00523-3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive 3D printing of moldable conductive polymer composite for highly sensitive soft sensors with a broad working range

Changjin Huang, Junwei Li, Yuxuan Tang, Kai Xue et al.
npj Flexible Electronics
Advanced Sensor and Energy Harvesting Materials
article

Adaptive 3D printing of moldable conductive polymer composite for highly sensitive soft sensors with a broad working range

Changjin Huang, Junwei Li, Yuxuan Tang, Kai Xue, Yuanhang Yang, Shun Duan
article en

Abstract

Conductive putty-like polymer composites have recently received considerable attention in wearable electronics, soft robotics, and energy storage due to their unique electrical and mechanical properties. Their viscoelasticity enables direct 3D printing of intricate, customizable conductive pathways, yet printing in high-viscosity polymer solutions remains challenging. Inspired by clay, we develop a moldable conductive polymer composite (MCPC) with tunable viscoelasticity, shear-thinning behavior, and high conductivity by blending liquid Ecoflex with graphite powders. By extruding MCPC onto liquid Ecoflex of various viscosities, we demonstrate a facile strategy for fabricating soft sensors with spatially controlled conductive pathways. These sensors exhibit a wide strain response (0.05%-150%), high sensitivity (gauge factor >15000), and nearly 100% electrical repeatability over 1000 cycles. They reliably monitor human movement and control robotic hands. Our approach provides a new strategy for fabricating soft sensors with enhanced mechanical and electrical properties, expanding possibilities for next-generation wearable and bio-integrated technologies.

npj Flexible ElectronicsVol. 10(1)
Nanyang Technological University (SG), Beijing University of Chemical Technology (CN)
Ministry of Education, India, Bộ Giáo dục và Ðào tạo
Affordable and clean energy
Openalex Percentile: Top 93%
Advanced Sensor and Energy Harvesting Materials
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Adaptive 3D printing of moldable conductive polymer composite for highly sensitive soft sensors with a broad working range — Changjin Huang, Junwei Li, et al. · npj Flexible Electronics (2026) | TGRS Research Map | TGRS