A Path Beyond Metal and Silicon:Polymer/Nanomaterial Composites for Stretchable Strain Sensors
By Aidong Qiu, Peilin Li, Zhaokun Yang, Yu Yao, Ivan Lee, Jun Ma. Advanced Functional Materials, 2019
196 citations recorded by the source corpus.
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.
Subfields: Biomedical Engineering, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/ea12142a670bb0950c50c9a0be28e65ae88c51d3
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In Biomedical Engineering
Citations in the corpus
- The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review (2023, background): “The nonlinearity of the sensors can be compensated by high repeatable and reproducible sensing performance [87].”