Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin
Recent advances in hyperelastic materials and self-sensing sensor designs have enabled the creation of dense compliant sensor networks for the cost-effective monitoring of structures. The authors have proposed a sensing skin based on soft polymer composites by developing soft elastomeric capacitor (...
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MDPI AG
2020-07-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/20/15/4185 |
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author | Han Liu Matthias Kollosche Jin Yan Eric M. Zellner Sarah A. Bentil Iris V. Rivero Colin Wiersema Simon Laflamme |
author_facet | Han Liu Matthias Kollosche Jin Yan Eric M. Zellner Sarah A. Bentil Iris V. Rivero Colin Wiersema Simon Laflamme |
author_sort | Han Liu |
collection | DOAJ |
description | Recent advances in hyperelastic materials and self-sensing sensor designs have enabled the creation of dense compliant sensor networks for the cost-effective monitoring of structures. The authors have proposed a sensing skin based on soft polymer composites by developing soft elastomeric capacitor (SEC) technology that transduces geometric variations into a measurable change in capacitance. A limitation of the technology is in its low gauge factor and lack of sensing directionality. In this paper, we propose a corrugated SEC through surface texture, which provides improvements in its performance by significantly decreasing its transverse Poisson’s ratio, and thus improving its sensing directionality and gauge factor. We investigate patterns inspired by auxetic structures for enhanced unidirectional strain monitoring. Numerical models are constructed and validated to evaluate the performance of textured SECs, and to study their performance at monitoring strain on animal skin. Results show that the auxetic patterns can yield a significant increase in the overall gauge factor and decrease the stress experienced by the animal skin, with the re-entrant hexagonal honeycomb pattern outperforming all of the other patterns. |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T18:10:05Z |
publishDate | 2020-07-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-6c8025ed57e24540a66f11da565a0f132023-11-20T08:11:57ZengMDPI AGSensors1424-82202020-07-012015418510.3390/s20154185Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal SkinHan Liu0Matthias Kollosche1Jin Yan2Eric M. Zellner3Sarah A. Bentil4Iris V. Rivero5Colin Wiersema6Simon Laflamme7Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USAHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USADepartment of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USADepartment of Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USADepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USADepartment of Industrial and Systems Engineering, Rochester Institute of Technology, Rochester, NY 14623, USADepartment of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USADepartment of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USARecent advances in hyperelastic materials and self-sensing sensor designs have enabled the creation of dense compliant sensor networks for the cost-effective monitoring of structures. The authors have proposed a sensing skin based on soft polymer composites by developing soft elastomeric capacitor (SEC) technology that transduces geometric variations into a measurable change in capacitance. A limitation of the technology is in its low gauge factor and lack of sensing directionality. In this paper, we propose a corrugated SEC through surface texture, which provides improvements in its performance by significantly decreasing its transverse Poisson’s ratio, and thus improving its sensing directionality and gauge factor. We investigate patterns inspired by auxetic structures for enhanced unidirectional strain monitoring. Numerical models are constructed and validated to evaluate the performance of textured SECs, and to study their performance at monitoring strain on animal skin. Results show that the auxetic patterns can yield a significant increase in the overall gauge factor and decrease the stress experienced by the animal skin, with the re-entrant hexagonal honeycomb pattern outperforming all of the other patterns.https://www.mdpi.com/1424-8220/20/15/4185flexible sensorsoft sensorstrainauxetictexturebiomechanics |
spellingShingle | Han Liu Matthias Kollosche Jin Yan Eric M. Zellner Sarah A. Bentil Iris V. Rivero Colin Wiersema Simon Laflamme Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin Sensors flexible sensor soft sensor strain auxetic texture biomechanics |
title | Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin |
title_full | Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin |
title_fullStr | Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin |
title_full_unstemmed | Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin |
title_short | Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin |
title_sort | numerical investigation of auxetic textured soft strain gauge for monitoring animal skin |
topic | flexible sensor soft sensor strain auxetic texture biomechanics |
url | https://www.mdpi.com/1424-8220/20/15/4185 |
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