Additive Manufactured Programmable Scaffold Sensor Based on Triply Periodic Minimal Surfaces for Broad-Spectrum Pressure Detection

Achieving both high sensitivity and a wide detection range in flexible pressure sensors poses a challenge due to their inherent trade-off. Although porous structures offer promising solutions, conventional methods (templating, foaming, and freeze-drying) fail to precisely control cavity dimensions, spatial arrangement, and 3D morphology, which are crucial for sensing performance. Here, we propose a scalable fabrication strategy that integrates triply periodic minimal surface (TPMS) geometries─precisely engineered via FDM 3D printing─with ultrasonic impregnation of carbon black (CB) into TPU scaffolds. The TPMS framework, featuring an optimized curvature and uniform pore distribution, ensures exceptional durability (2.2 MPa at 70% strain) and stress homogenization, outperforming traditional honeycomb and lattice structures. Ultrasonication-driven zero-dimensional nanofiller embedding creates interpenetrating conductive networks, enabling ultrawide pressure detection (0.1-2.2 MPa) with tunable, stage-dependent sensitivities (gauge factors of 8.41, -0.43, and 1.71). Finite element simulations elucidate the mechanisms underlying stress mitigation and stage-dependent gauge factors, while experimental validation highlights a rapid response (100 ms), exceptional durability (1000 cycles), and precise real-time monitoring of plantar pressure, gestures, and gait anomalies. This work overcomes the sensitivity-range trade-off and provides a scalable and versatile platform for next-generation flexible sensors, with applications in personalized health diagnostics, smart rehabilitation, and advanced human-machine interfaces.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-09-08
DOI
https://doi.org/10.1021/acsami.5c11880
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
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article

Additive Manufactured Programmable Scaffold Sensor Based on Triply Periodic Minimal Surfaces for Broad-Spectrum Pressure Detection

Wei Zhai, Kun Dai, Shuai Qiu, Libo Yan et al.
1 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
0.67
article

Additive Manufactured Programmable Scaffold Sensor Based on Triply Periodic Minimal Surfaces for Broad-Spectrum Pressure Detection

Wei Zhai, Kun Dai, Shuai Qiu, Libo Yan, Shengfa Wang, Jian Zhao, Yan Wang, Yumei Gong, Jing Guo
article en
1 citations

Abstract

Achieving both high sensitivity and a wide detection range in flexible pressure sensors poses a challenge due to their inherent trade-off. Although porous structures offer promising solutions, conventional methods (templating, foaming, and freeze-drying) fail to precisely control cavity dimensions, spatial arrangement, and 3D morphology, which are crucial for sensing performance. Here, we propose a scalable fabrication strategy that integrates triply periodic minimal surface (TPMS) geometries─precisely engineered via FDM 3D printing─with ultrasonic impregnation of carbon black (CB) into TPU scaffolds. The TPMS framework, featuring an optimized curvature and uniform pore distribution, ensures exceptional durability (2.2 MPa at 70% strain) and stress homogenization, outperforming traditional honeycomb and lattice structures. Ultrasonication-driven zero-dimensional nanofiller embedding creates interpenetrating conductive networks, enabling ultrawide pressure detection (0.1-2.2 MPa) with tunable, stage-dependent sensitivities (gauge factors of 8.41, -0.43, and 1.71). Finite element simulations elucidate the mechanisms underlying stress mitigation and stage-dependent gauge factors, while experimental validation highlights a rapid response (100 ms), exceptional durability (1000 cycles), and precise real-time monitoring of plantar pressure, gestures, and gait anomalies. This work overcomes the sensitivity-range trade-off and provides a scalable and versatile platform for next-generation flexible sensors, with applications in personalized health diagnostics, smart rehabilitation, and advanced human-machine interfaces.

ACS Applied Materials & InterfacesVol. 17(37)
Zhongyuan University of Technology (CN), Dalian University of Technology (CN), Zhengzhou University (CN), State University of Information and Communication Technologies (UA), Advanced Energy Materials (United States) (US), Dalian Polytechnic University (CN)
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.67
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