CTPU Based MetaMetarial Behaviour as a Soft Strain Sensor

The surge in flexible and wearable electronics, fueled by advancements in smart technologies and growing market demand, has highlighted the importance of auxetic sensors for applications in healthcare, medical rehabilitation, soft robotics, and human-machine interfaces. For widespread adoption, these sensors must offer high sensitivity, substantial stretchability, and long-term durability. This study explores the possibilities of realizing such wearable soft sensors based on conductive thermoplastic polyurethane (cTPU) 3D printing enhanced with auxetic mechanical metamaterials. Following simultaneous empirical mechanical and electrical measurements, auxetic soft sensor designs were compared with numerical simulations. Results suggest that such soft sensors based on metamaterials are great candidates for applications in healthcare and robotics when realized with 3D printing.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/icm62621.2025.10934915
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

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article

CTPU Based MetaMetarial Behaviour as a Soft Strain Sensor

Ciara O'Driscoll, Rahim Mutlu, Tanju Yildirim, Umar Asghar
1 citations
Advanced Sensor and Energy Harvesting Materials
0.67
article

CTPU Based MetaMetarial Behaviour as a Soft Strain Sensor

Ciara O'Driscoll, Rahim Mutlu, Tanju Yildirim, Umar Asghar
article en
1 citations

Abstract

The surge in flexible and wearable electronics, fueled by advancements in smart technologies and growing market demand, has highlighted the importance of auxetic sensors for applications in healthcare, medical rehabilitation, soft robotics, and human-machine interfaces. For widespread adoption, these sensors must offer high sensitivity, substantial stretchability, and long-term durability. This study explores the possibilities of realizing such wearable soft sensors based on conductive thermoplastic polyurethane (cTPU) 3D printing enhanced with auxetic mechanical metamaterials. Following simultaneous empirical mechanical and electrical measurements, auxetic soft sensor designs were compared with numerical simulations. Results suggest that such soft sensors based on metamaterials are great candidates for applications in healthcare and robotics when realized with 3D printing.

University of Wollongong in Dubai (AE), Southern Cross University (AU)
University of Wollongong
Climate action
Openalex Percentile: Top 34%
Advanced Sensor and Energy Harvesting Materials
0.67
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