Modeling the stress and resistance relaxation of conductive composites-coated fabric strain sensors

Xi Wang, Bao Yang, Qiao Li, Fei Wang, Xiao ming Tao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Electrical relaxation of flexible sensors using the conductive polymer composites as sensing materials has been constantly reported as major obstacle for accurate measurement, yet still roughly characterized by mechanical relaxation rather than an effective underlying mechanism. In this work, fabric strain sensors based on carbon-particle-filled conductive polymer and knitted fabric substrate were studied. A serial mechanical model of the sensor was established according to its structure, and then extended to an electromechanical model by introducing strain-resistance properties for mechanical elements. Methods were elaborated on extracting the mechanical, electrical and status parameters of the model. Tests were conducted on 5 randomly-chosen samples. The model was firstly determined for each sample using proposed methods and then implemented to predict resistance response during relaxations. Results show that the relative mean error of the predicted resistance was only 0.2%, with an averaged determination of fit 0.9230. The correlation between predicted and measured resistance was observed 0.9783 on average. Conclusion can be drawn that the model is effective to characterize the sensing mechanism and resistance relaxation of the fabric strain sensors.

Original languageEnglish
Article number108645
JournalComposites Science and Technology
Volume204
DOIs
Publication statusPublished - 1 Mar 2021

Keywords

  • A:Fabrics/textiles
  • A:Polymer-matrix composites
  • B:Electro-mechanical behavior
  • C:Material modeling
  • C:Stress relaxation

ASJC Scopus subject areas

  • Ceramics and Composites
  • Engineering(all)

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