A Path Beyond Metal and Silicon:Polymer/Nanomaterial Composites for Stretchable Strain Sensors
Abstract
Abstract Conventional strain sensors based on metals and semiconductors are rigid and cannot measure soft and stretchable objects. Thus, new strain sensors based on polymer/nanomaterial composites are attracting more interest. Although much effort has been dedicated to achieve high values of both sensitivity and stretchability with linearity, this work endeavors to search and establish guidelines for the development of stretchable strain sensors, by critically reviewing conventional sensors and examining recent progress. It starts from introducing key parameters for conventional strain sensors; these parameters are further discussed for their potential impact on new polymer/nanomaterial strain sensors. The work concludes that there are no general benchmarks for conventional strain sensors utilized in industry. From the findings, the authors suggest that stretchable strain sensors should be custom designed and developed to meet particular measurement requirements, in comparison with a generic aim of yielding a sensor with high degrees of stretchability, sensitivity, and linearity. Challenges are discussed, including reliability, calibration to be used as proper gauges, and soft data acquisition systems.
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Conventional metal-based strain sensors showed GF of less than 5, whereas semiconductor-based strain sensors possess much larger GF, up to 200 times more than metals.
“Conventional metal-based strain sensors showed GF of less than 5, whereas semiconductor-based strain sensors possess much larger GF, up to 200 times more than metals [87].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [87]
Strain sensors based on polymer nanocomposites showed from more than 10% up to 800% stretchability.
“Strain sensors based on polymer nanocomposites showed from more than 10% up to 800% stretchability [87].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [87]
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- Authors
- Qiu, A., Li, P., Yang, Z., Yao, Y., Lee, I., & Ma, J.
- Affiliations
- University of South Australia (AU)
- Corresponding author
- Ma, Jun
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-02-18
- Volume
- 29
- Issue
- 17
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2916971279
- Cited by
- 237
- References
- 172
- Citations by year
- 2026: 21 · 2025: 30 · 2024: 49 · 2023: 33 · 2022: 32 · 2021: 28 · 2020: 34 · 2019: 10
- FWCI
- 9.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Functional Materials (publishedVersion)
- UniSA Research Outputs Repository (University of South Australia) (acceptedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Nanomaterials and Printing Technologies
- Physical Sciences › Materials Science › Materials Chemistry › Carbon Nanotubes in Composites
- Keywords
- stretchable strain sensors, nanomaterials, sensor sensitivity, sensor linearity, stretchability, sensor reliability, sensor calibration
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