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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Main Authors: Han Liu, Matthias Kollosche, Jin Yan, Eric M. Zellner, Sarah A. Bentil, Iris V. Rivero, Colin Wiersema, Simon Laflamme
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
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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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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AT ericmzellner numericalinvestigationofauxetictexturedsoftstraingaugeformonitoringanimalskin
AT sarahabentil numericalinvestigationofauxetictexturedsoftstraingaugeformonitoringanimalskin
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