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Quantitative Evaluation of Pseudo Strain Signals Caused by Yarn Structural Deformation

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Abstract

Yarn-based strain sensors (YSSs) have shown great promising in the fabrication of wearable devices for their good comfortability and flexible designability. However, the false signals generated by the changes in the yarn structure of the YSSs are usually ignored. In this study, the generation, the characteristic, and the prediction of these signals were investigated. We recognized that these signals are composed of two negative pseudo peaks and a spurious resistance response plateau. These responses are found to have nothing in common with a true tensile strain, but be attributed to plastic deformation of the fibers. This is due to the fact that the deformation of YSSs exceeds the linear elastic range of the fibers. Although the use of pure elastic fibers can eliminate the spurious resistance response plateau, it will lead to an increase in the pseudo peak to the value compared with a true strain signal peak. Hence, a theoretical model was established to decouple the real signals from the false responses, ensuring the high sensing accuracy of YSSs for applications in wearable devices and artificial intelligence interfaces. This work provides an in-depth understanding of the response of the YSSs, which might provide inspiration and guidance in the design of high-accuracy fiber-based strain sensors.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51973116, U1832109, 21935002, 52003156), the Users with Excellence Program of Hefei Science Center CAS (2019HSC-UE003), China Postdoctoral Science Foundation (2020M681344), the starting grant of ShanghaiTech University, and State Key Laboratory for Modification of Chemical Fibers and Polymer Materials.

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Authors and Affiliations

  1. School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, China

    Shihui Lin, Leitao Cao, Zhuochen Lv, Jing Ren & Shengjie Ling

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  1. Shihui Lin
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  2. Leitao Cao
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  3. Zhuochen Lv
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  4. Jing Ren
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  5. Shengjie Ling
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Correspondence to Shengjie Ling.

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Lin, S., Cao, L., Lv, Z. et al. Quantitative Evaluation of Pseudo Strain Signals Caused by Yarn Structural Deformation. Adv. Fiber Mater. 4, 214–225 (2022). https://doi.org/10.1007/s42765-021-00101-y

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