Fibrous Pressure Sensor with Unique Resistance Increase under Partial Compression: Coaxial Wet‐Spun TiO <sub>2</sub> /Graphene/Thermoplastic Polyurethane Multi‐Wall Multifunctional Fiber

Z Ziwei Chen D Dandan Xie K Kanae Kojima (Institute for Fiber Engineering and Science (IFES) Shinshu University 3‐15‐1 Tokida Ueda Nagano 386–8567 Japan) C Chunxia Gao (School of Chemistry and Chemical Engineering Yangzhou University Yangzhou 225002 China) J Jian Shi J Jian Xing (Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University) H Hideaki Morikawa (Graduate School of Medicine Science and Technology Shinshu University Tokida Ueda Nagano 386–8567 Japan) C Chunhong Zhu

Abstract

Abstract Fiber‐shaped resistive pressure‐sensitive sensors are rare. Although fibers are widely used in strain sensors owing to their structural advantages, developing fiber‐shaped resistive pressure sensors is challenging. This challenge arises because the fiber acts as a series circuit along its axis, requiring increased resistance in the compressed region for a significant signal. Coaxial wet‐spinning is used to create a multi‐walled fiber. The outer layer, made of thermoplastic polyurethane (TPU)/TiO 2 slurry, ensured a smooth surface, while the inner core, containing 4% graphene nanoplatelets (GNPs), is extruded at 20 mL h −1 . Unlike conventional resistance‐increasing pressure sensors, TGTMW fiber shows rising resistance under compression due to microcracks in its multi‐wall structure. Its pressure sensitivity is evaluated using various 3D‐printed indenters and showcasing its excellent performance. This sensor has found promising applications in remote motion detection, press or slide differentiation through wavelet transforms applied to high‐speed sensing data, and real‐time signal acquisition from a multi‐channel sensing array. Additionally, intuitive visualization software is developed for the sensing array application and implemented a CNN‐based machine learning algorithm for data analysis. The system achieved a recognition accuracy of ≈99.6% for 12 different compression modes. This work is believed to propose a new mechanism and design for fiber‐based pressure sensors.

Article Details

Volume / Issue Vol. 37, Issue 40
Published October 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (8)

Z

Ziwei Chen

D

Dandan Xie

K

Kanae Kojima

Institute for Fiber Engineering and Science (IFES) Shinshu University 3‐15‐1 Tokida Ueda Nagano 386–8567 Japan

C

Chunxia Gao

School of Chemistry and Chemical Engineering Yangzhou University Yangzhou 225002 China

J

Jian Shi

J

Jian Xing

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University

H

Hideaki Morikawa

Graduate School of Medicine Science and Technology Shinshu University Tokida Ueda Nagano 386–8567 Japan

C

Chunhong Zhu