Kirigami stretchable strain sensors with enhanced piezoelectricity induced by topological electrodes
Kirigami stretchable strain sensors with enhanced piezoelectricity induced by topological electrodes
Rapid advances in sensing technologies are leading to the development of integrated wearable electronics for biomedical applications. Piezoelectric materials have great potential for implantable devices because of their self-powered sensing capacities. The soft and highly deformable surfaces of most tissues in the human body, however, restrict the wide use of piezoelectric materials, which feature low stretchability. Flexible piezoelectric polyvinylidene fluoride films that could conformably integrate with human bodies would have advantages in health monitoring. Here, a Kirigami technique with linear cut patterns has been employed to design a stretchable piezoelectric sensor with enhanced piezoelectricity. A parametric Finite Element Analysis study is first performed to investigate its mechanical behaviour, followed by experiments. An inter-segment electrode connection approach is proposed to further enhance the piezoelectric performance of the sensor. The voltage output shows superior performance with 2.6 times improvement compared to conventionally continuous electrodes. Dynamic tests with a range of frequencies and strains are performed to validate the sensor design. With its high performance in large strain measurements, the Kirigami-based sensing system shows promise in stretchable electronics for biomedical devices.
Sun, Rujie
e3dad16d-6c79-4972-8378-edca28a3babd
Zhang, Bing
8cfe9542-494d-4231-a793-c475700b059b
Yang, Lu
667e10ef-1cd5-49bc-9eaa-9913950fc7c7
Zhang, Wenjiao
3c0e7a81-95f7-450a-9fb5-b29df0c07c2b
Farrow, Ian
3c341722-861c-47b1-a821-4c1b7afbf471
Scarpa, Fabrizio
684472c3-1a28-478a-a388-5fd896986c1d
Rossiter, Jonathan
64caa0df-19e0-40c8-ab69-7021de665c39
18 June 2018
Sun, Rujie
e3dad16d-6c79-4972-8378-edca28a3babd
Zhang, Bing
8cfe9542-494d-4231-a793-c475700b059b
Yang, Lu
667e10ef-1cd5-49bc-9eaa-9913950fc7c7
Zhang, Wenjiao
3c0e7a81-95f7-450a-9fb5-b29df0c07c2b
Farrow, Ian
3c341722-861c-47b1-a821-4c1b7afbf471
Scarpa, Fabrizio
684472c3-1a28-478a-a388-5fd896986c1d
Rossiter, Jonathan
64caa0df-19e0-40c8-ab69-7021de665c39
Sun, Rujie, Zhang, Bing, Yang, Lu, Zhang, Wenjiao, Farrow, Ian, Scarpa, Fabrizio and Rossiter, Jonathan
(2018)
Kirigami stretchable strain sensors with enhanced piezoelectricity induced by topological electrodes.
Applied Physics Letters, 112 (25), [251904].
(doi:10.1063/1.5025025).
Abstract
Rapid advances in sensing technologies are leading to the development of integrated wearable electronics for biomedical applications. Piezoelectric materials have great potential for implantable devices because of their self-powered sensing capacities. The soft and highly deformable surfaces of most tissues in the human body, however, restrict the wide use of piezoelectric materials, which feature low stretchability. Flexible piezoelectric polyvinylidene fluoride films that could conformably integrate with human bodies would have advantages in health monitoring. Here, a Kirigami technique with linear cut patterns has been employed to design a stretchable piezoelectric sensor with enhanced piezoelectricity. A parametric Finite Element Analysis study is first performed to investigate its mechanical behaviour, followed by experiments. An inter-segment electrode connection approach is proposed to further enhance the piezoelectric performance of the sensor. The voltage output shows superior performance with 2.6 times improvement compared to conventionally continuous electrodes. Dynamic tests with a range of frequencies and strains are performed to validate the sensor design. With its high performance in large strain measurements, the Kirigami-based sensing system shows promise in stretchable electronics for biomedical devices.
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251904_1_online
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Accepted/In Press date: 16 May 2018
Published date: 18 June 2018
Identifiers
Local EPrints ID: 486774
URI: http://eprints.soton.ac.uk/id/eprint/486774
ISSN: 0003-6951
PURE UUID: 412e1b31-69f5-42b4-b95e-33401b5845e3
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Date deposited: 06 Feb 2024 17:33
Last modified: 17 Mar 2024 07:24
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Contributors
Author:
Rujie Sun
Author:
Bing Zhang
Author:
Lu Yang
Author:
Wenjiao Zhang
Author:
Ian Farrow
Author:
Fabrizio Scarpa
Author:
Jonathan Rossiter
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