Efficiently Fabricated Core‐Sheath Piezoelectric Sensor Based on PVDF Microfibrillar Bundle

With the rapid development of information technology (e.g., Internet of Things (IoT) and artificial intelligence (AI)), piezoelectric sensor (i.e., piezoelectric nanogenerator, PENG) receives an increasing number attention in the field of self-powered wearable devices. Taking piezoelectric fiber as an example, it shows promising application for wearable devices owing to its light weight and high flexibility compared with block electronic devices. However, it still remains a challenge to fabricate low-cost and high-performance piezoelectric fiber via a large-scale but efficient method. In this study, via extrusion molding and leaching, a core-sheath piezoelectric sensor is facilely fabricated, whose core and sheath layer are respectively slender steel wire (i.e., electrode) and PVDF microfibrillar bundle (PMB) (i.e., piezoelectric layer). Such piezoelectric sensor shows decent output performance in both pressing (12.3 V) and bending (0.32 V) mode. Meanwhile, it possesses sensitive stress responsiveness when serving for self-powered sensing. Furthermore, such piezoelectric sensors can realize wearable signal transmission and human motion monitoring, showing promising potential for wearable devices in the future. This work proposes a large-scale but efficient method for fabricating high-performance PVDF microfibril based piezoelectric fiber, opening a new pathway to develop self-powered sensors following the concept of polymer "structuring" processing.

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Publication Details

Journal
Macromolecular Rapid Communications
Published
2024-09-06
DOI
https://doi.org/10.1002/marc.202400616
Citations
4
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.74

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article

Efficiently Fabricated Core‐Sheath Piezoelectric Sensor Based on PVDF Microfibrillar Bundle

Guoqiang Zheng, Chaojun Gao, Tingting Shan, Juan Guo et al.
4 citations
Macromolecular Rapid Communications
Advanced Sensor and Energy Harvesting Materials
0.74
article

Efficiently Fabricated Core‐Sheath Piezoelectric Sensor Based on PVDF Microfibrillar Bundle

Guoqiang Zheng, Chaojun Gao, Tingting Shan, Juan Guo, Jiulong Shi, Fei Peng
article en
4 citations

Abstract

With the rapid development of information technology (e.g., Internet of Things (IoT) and artificial intelligence (AI)), piezoelectric sensor (i.e., piezoelectric nanogenerator, PENG) receives an increasing number attention in the field of self-powered wearable devices. Taking piezoelectric fiber as an example, it shows promising application for wearable devices owing to its light weight and high flexibility compared with block electronic devices. However, it still remains a challenge to fabricate low-cost and high-performance piezoelectric fiber via a large-scale but efficient method. In this study, via extrusion molding and leaching, a core-sheath piezoelectric sensor is facilely fabricated, whose core and sheath layer are respectively slender steel wire (i.e., electrode) and PVDF microfibrillar bundle (PMB) (i.e., piezoelectric layer). Such piezoelectric sensor shows decent output performance in both pressing (12.3 V) and bending (0.32 V) mode. Meanwhile, it possesses sensitive stress responsiveness when serving for self-powered sensing. Furthermore, such piezoelectric sensors can realize wearable signal transmission and human motion monitoring, showing promising potential for wearable devices in the future. This work proposes a large-scale but efficient method for fabricating high-performance PVDF microfibril based piezoelectric fiber, opening a new pathway to develop self-powered sensors following the concept of polymer "structuring" processing.

Macromolecular Rapid CommunicationsVol. 46(1)
Zhengzhou University (CN)
National Natural Science Foundation of China, Zhengzhou University
Openalex Percentile: Top 32%
Advanced Sensor and Energy Harvesting Materials
0.74
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Efficiently Fabricated Core‐Sheath Piezoelectric Sensor Based on PVDF Microfibrillar Bundle — Guoqiang Zheng, Chaojun Gao, et al. · Macromolecular Rapid Communications (2024) | TGRS Research Map | TGRS