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The effect of fabric properties on the performance of a textile based ferroelectret generator toward human body energy harvesting

The effect of fabric properties on the performance of a textile based ferroelectret generator toward human body energy harvesting
The effect of fabric properties on the performance of a textile based ferroelectret generator toward human body energy harvesting
This paper reports the lamination of two thin fluorinated ethylene propylene (FEP) films onto the back and front surfaces of a conventional textile forming a sandwich structure which creates a textile-based ferroelectret. In this work, we study the effect of the physical properties and dimensions of the textile on the piezoelectric properties and energy harvesting performance of the ferroelectret. Five different fabrics with different thicknesses and Young's modulus were used to form textile based ferroelectret harvesters. Thinner textiles result in increased piezoelectric properties of the fabricated FEP textile ferroelectret. The highest measured stable maximum piezoelectric coefficient d33 of 987 pC N−1 was achieved by the thinnest silk textile FEP ferroelectret. The energy harvester based on the FEP-silk textile ferroelectret generates a peak output power density of 2.26 µW cm−2. The textile ferroelectret can charge a 10 µF capacitor used to store the harvested energy to 3.2 V in 40 s. This corresponds to an average output power of 1.07 µW when subjected to compressive pressures of 30 kPa applied at a frequency of 1 Hz with a 90 MΩ loading resistance.

e-textiles, ferroelectret, human body energy harvesting
0964-1726
Shi, Junjie
3e2ba75e-a773-478a-aacc-5d926bfd1669
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d
Shi, Junjie
3e2ba75e-a773-478a-aacc-5d926bfd1669
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d

Shi, Junjie and Beeby, Stephen (2022) The effect of fabric properties on the performance of a textile based ferroelectret generator toward human body energy harvesting. Smart Materials and Structures, 31 (4), [045015]. (doi:10.1088/1361-665X/ac56b8).

Record type: Article

Abstract

This paper reports the lamination of two thin fluorinated ethylene propylene (FEP) films onto the back and front surfaces of a conventional textile forming a sandwich structure which creates a textile-based ferroelectret. In this work, we study the effect of the physical properties and dimensions of the textile on the piezoelectric properties and energy harvesting performance of the ferroelectret. Five different fabrics with different thicknesses and Young's modulus were used to form textile based ferroelectret harvesters. Thinner textiles result in increased piezoelectric properties of the fabricated FEP textile ferroelectret. The highest measured stable maximum piezoelectric coefficient d33 of 987 pC N−1 was achieved by the thinnest silk textile FEP ferroelectret. The energy harvester based on the FEP-silk textile ferroelectret generates a peak output power density of 2.26 µW cm−2. The textile ferroelectret can charge a 10 µF capacitor used to store the harvested energy to 3.2 V in 40 s. This corresponds to an average output power of 1.07 µW when subjected to compressive pressures of 30 kPa applied at a frequency of 1 Hz with a 90 MΩ loading resistance.

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Accepted/In Press date: 18 February 2022
Published date: 1 April 2022
Additional Information: Funding Information: This work was performed under the Wearable and Autonomous Computing for Future Smart Cites: A Platform Grant funded by the UK engineering and Physical Sciences Research Council (EPSRC), Grant EP/P010164/1. The work of Steve Beeby was supported by the Royal Academy of Engineering under the Chairs in Emerging Technologies Scheme. Publisher Copyright: © 2022 IOP Publishing Ltd.
Keywords: e-textiles, ferroelectret, human body energy harvesting

Identifiers

Local EPrints ID: 455196
URI: http://eprints.soton.ac.uk/id/eprint/455196
ISSN: 0964-1726
PURE UUID: 532ae0a2-9e14-4734-909d-81b0287ef232
ORCID for Stephen Beeby: ORCID iD orcid.org/0000-0002-0800-1759

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Date deposited: 15 Mar 2022 17:30
Last modified: 17 Mar 2024 02:39

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Author: Junjie Shi
Author: Stephen Beeby ORCID iD

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