Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing
Advances in functional fabrics enable the realization of wearable devices in the form factor of fibers that can be seamlessly adapted in our daily lives. For mechanical‐related sensing and power generation, piezoelectric materials are particularly favorable because they can convert mechanical shape...
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sg-ntu-dr.10356-902622020-03-07T14:02:39Z Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing Ma, Shaoyang Ye, Tao Zhang, Ting Wang, Zhe Li, Kaiwei Chen, Ming Zhang, Jing Wang, Zhixun Ramakrishna, Seeram Wei, Lei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Electrospinning Fiber-based Sensors Advances in functional fabrics enable the realization of wearable devices in the form factor of fibers that can be seamlessly adapted in our daily lives. For mechanical‐related sensing and power generation, piezoelectric materials are particularly favorable because they can convert mechanical shape changes into electric outputs. Electrospinning is a widely applied technique to produce extended length of fiber‐shaped piezoelectric devices. However, this versatile process normally results in randomly distributed fibers with poor electrical properties and limited response to mechanical stimuli. Here, a stretching‐induced alignment method is demonstrated to achieve highly oriented electrospun poly[(vinylidenefluoride‐co‐trifluoroethylene] P(VDF‐TrFE) fibers on a large scale. These globally aligned electrospun P(VDF‐TrFE) fibers exhibit an enhanced piezoelectric property and high mechanical endurance. Using this simple stretching method, a high average output voltage of 80% aligned electrospun P(VDF‐TrFE) fibers is 84.96 mV, about 266% of their original randomly distributed counterpart. Furthermore, when woven into an outfit, the aligned electrospun P(VDF‐TrFE) fiber bundle can work both individually and combined to monitor body gestures including angles of elbow bending and directions of a swinging arm, which may lead to the further development of motion‐tracking technology. MOE (Min. of Education, S’pore) Accepted version 2019-05-29T07:10:23Z 2019-12-06T17:44:18Z 2019-05-29T07:10:23Z 2019-12-06T17:44:18Z 2018 Journal Article Ma, S., Ye, T., Zhang, T., Wang, Z., Li, K., Chen, M., . . . Wei, L. (2018). Highly Oriented Electrospun P(VDF-TrFE) Fibers via Mechanical Stretching for Wearable Motion Sensing. Advanced Materials Technologies, 3(7), 1800033-. doi:10.1002/admt.201800033 https://hdl.handle.net/10356/90262 http://hdl.handle.net/10220/48452 10.1002/admt.201800033 en Advanced Materials Technologies © 2018 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is the peer reviewed version of the following article: Ma, S., Ye, T., Zhang, T., Wang, Z., Li, K., Chen, M., . . . Wei, L. (2018). Highly Oriented Electrospun P(VDF-TrFE) Fibers via Mechanical Stretching for Wearable Motion Sensing. Advanced Materials Technologies, 3(7), 1800033-., which has been published in final form at http://dx.doi.org/10.1002/admt.201800033. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. 16 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Electrospinning Fiber-based Sensors Ma, Shaoyang Ye, Tao Zhang, Ting Wang, Zhe Li, Kaiwei Chen, Ming Zhang, Jing Wang, Zhixun Ramakrishna, Seeram Wei, Lei Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing |
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Advances in functional fabrics enable the realization of wearable devices in the form factor of fibers that can be seamlessly adapted in our daily lives. For mechanical‐related sensing and power generation, piezoelectric materials are particularly favorable because they can convert mechanical shape changes into electric outputs. Electrospinning is a widely applied technique to produce extended length of fiber‐shaped piezoelectric devices. However, this versatile process normally results in randomly distributed fibers with poor electrical properties and limited response to mechanical stimuli. Here, a stretching‐induced alignment method is demonstrated to achieve highly oriented electrospun poly[(vinylidenefluoride‐co‐trifluoroethylene] P(VDF‐TrFE) fibers on a large scale. These globally aligned electrospun P(VDF‐TrFE) fibers exhibit an enhanced piezoelectric property and high mechanical endurance. Using this simple stretching method, a high average output voltage of 80% aligned electrospun P(VDF‐TrFE) fibers is 84.96 mV, about 266% of their original randomly distributed counterpart. Furthermore, when woven into an outfit, the aligned electrospun P(VDF‐TrFE) fiber bundle can work both individually and combined to monitor body gestures including angles of elbow bending and directions of a swinging arm, which may lead to the further development of motion‐tracking technology. |
author2 |
School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Ma, Shaoyang Ye, Tao Zhang, Ting Wang, Zhe Li, Kaiwei Chen, Ming Zhang, Jing Wang, Zhixun Ramakrishna, Seeram Wei, Lei |
format |
Article |
author |
Ma, Shaoyang Ye, Tao Zhang, Ting Wang, Zhe Li, Kaiwei Chen, Ming Zhang, Jing Wang, Zhixun Ramakrishna, Seeram Wei, Lei |
author_sort |
Ma, Shaoyang |
title |
Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing |
title_short |
Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing |
title_full |
Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing |
title_fullStr |
Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing |
title_full_unstemmed |
Highly oriented electrospun P(VDF-TrFE) fibers via mechanical stretching for wearable motion sensing |
title_sort |
highly oriented electrospun p(vdf-trfe) fibers via mechanical stretching for wearable motion sensing |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/90262 http://hdl.handle.net/10220/48452 |
_version_ |
1681047196470870016 |