Carbon Black/Graphene Paper-based Flexible Sensors: Finite Element Simulation and Properties.
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| Title: | Carbon Black/Graphene Paper-based Flexible Sensors: Finite Element Simulation and Properties. |
|---|---|
| Authors: | Zhicong Tian1, Ruien Yu1 yuruien@nuc.edu.cn, Yanan Zeng1, Jingbo Hu2, Haijun Gong3, Xijing Zhu1 |
| Source: | Journal of Imaging Science & Technology. May/Jun2025, Vol. 69 Issue 3, p1-8. 8p. |
| Subjects: | Printed electronics, Strain sensors, Carbon-black, Performance technology, Graphene |
| Abstract: | In recent years, with the rise of printed electronics technology, printed flexible sensors have garnered widespread attention. To predict the performance of sensors before actual fabrication, in this paper, the bending strain and resistance response of the sensor’s functional layer were simulated using COMSOL Multiphysics 6.0 software, and the effects of different carbon black/graphene fill ratios on the sensor’s bending performance were explored. The simulation results indicated that resistance increases with the bending angle during the bending process, and the bending-resistance characteristics are better when the carbon black to graphene mass ratio is 2:1. Subsequently, flexible strain sensors were fabricated using screen-printing technology and their bending performance was tested. The experimental results demonstrated that the sensors have good linearity (R² = 0.9851), favorable response and recovery times (approximately 1 and 2 s, respectively), low hysteresis (4.88%), and better cyclic stability when repeatedly bent at 0°−20° compared to 0°− 90°. The experimental results were consistent with the simulation results. This study provides a new perspective on the design of flexible strain sensors through synchronized experiments and simulations, which is expected to significantly reduce the cost of prototype development. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186634213 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Carbon Black/Graphene Paper-based Flexible Sensors: Finite Element Simulation and Properties. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhicong+Tian%22">Zhicong Tian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ruien+Yu%22">Ruien Yu</searchLink><relatesTo>1</relatesTo><i> yuruien@nuc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yanan+Zeng%22">Yanan Zeng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jingbo+Hu%22">Jingbo Hu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Haijun+Gong%22">Haijun Gong</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Xijing+Zhu%22">Xijing Zhu</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Science+%26+Technology%22">Journal of Imaging Science & Technology</searchLink>. May/Jun2025, Vol. 69 Issue 3, p1-8. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Printed+electronics%22">Printed electronics</searchLink><br /><searchLink fieldCode="DE" term="%22Strain+sensors%22">Strain sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon-black%22">Carbon-black</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+technology%22">Performance technology</searchLink><br /><searchLink fieldCode="DE" term="%22Graphene%22">Graphene</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In recent years, with the rise of printed electronics technology, printed flexible sensors have garnered widespread attention. To predict the performance of sensors before actual fabrication, in this paper, the bending strain and resistance response of the sensor’s functional layer were simulated using COMSOL Multiphysics 6.0 software, and the effects of different carbon black/graphene fill ratios on the sensor’s bending performance were explored. The simulation results indicated that resistance increases with the bending angle during the bending process, and the bending-resistance characteristics are better when the carbon black to graphene mass ratio is 2:1. Subsequently, flexible strain sensors were fabricated using screen-printing technology and their bending performance was tested. The experimental results demonstrated that the sensors have good linearity (R² = 0.9851), favorable response and recovery times (approximately 1 and 2 s, respectively), low hysteresis (4.88%), and better cyclic stability when repeatedly bent at 0°−20° compared to 0°− 90°. The experimental results were consistent with the simulation results. This study provides a new perspective on the design of flexible strain sensors through synchronized experiments and simulations, which is expected to significantly reduce the cost of prototype development. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2352/J.ImagingSci.Technol.2025.69.3.030401 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Subjects: – SubjectFull: Printed electronics Type: general – SubjectFull: Strain sensors Type: general – SubjectFull: Carbon-black Type: general – SubjectFull: Performance technology Type: general – SubjectFull: Graphene Type: general Titles: – TitleFull: Carbon Black/Graphene Paper-based Flexible Sensors: Finite Element Simulation and Properties. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhicong Tian – PersonEntity: Name: NameFull: Ruien Yu – PersonEntity: Name: NameFull: Yanan Zeng – PersonEntity: Name: NameFull: Jingbo Hu – PersonEntity: Name: NameFull: Haijun Gong – PersonEntity: Name: NameFull: Xijing Zhu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10623701 Numbering: – Type: volume Value: 69 – Type: issue Value: 3 Titles: – TitleFull: Journal of Imaging Science & Technology Type: main |
| ResultId | 1 |
