

FOLLOWUS
a.Institute of Polymer Materials, Friedrich- Alexander-University Erlangen- Nuremberg, Martensstr. 7, Erlangen 91058, Germany
b.KeyLab Advanced Fiber Technology, Bavarian Polymer Institute, Dr. Mack- Strasse 77, Fürth 90762, Germany
xiaoling.luo@fau.de
Received:08 March 2022,
Revised:2022-4-13,
Accepted:21 April 2022,
Online First:20 July 2022,
Published:01 November 2022
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Luo, X. L.; Schubert, D. W. Experimental and theoretical study on piezoresistive behavior of compressible melamine sponge modified by carbon-based fillers. Chinese J. Polym. Sci. 2022, 40, 1503–1512
Xiao-Ling Luo, Dirk W. Schubert. Experimental and Theoretical Study on Piezoresistive Behavior of Compressible Melamine Sponge Modified by Carbon-based Fillers[J]. Chinese Journal of Polymer Science, 2022, 40(11): 1503-1512.
Luo, X. L.; Schubert, D. W. Experimental and theoretical study on piezoresistive behavior of compressible melamine sponge modified by carbon-based fillers. Chinese J. Polym. Sci. 2022, 40, 1503–1512 DOI: 10.1007/s10118-022-2771-8.
Xiao-Ling Luo, Dirk W. Schubert. Experimental and Theoretical Study on Piezoresistive Behavior of Compressible Melamine Sponge Modified by Carbon-based Fillers[J]. Chinese Journal of Polymer Science, 2022, 40(11): 1503-1512. DOI: 10.1007/s10118-022-2771-8.
Theoretical models were developed to simulate the piezoresistive behavior of compressible melamine sponge/carbon-based fillers composites; the modeling results show good agreement with the experimental data.
High-performance compression sensors have been playing an increasingly important role in human motion detection
health monitoring and human-machine interfaces over recent years. However
it remains a great challenge to develop theoretical models providing practical guidance to the sensor design. Herein
carbon black (CB)
carbon nanotubes (CNTs) and graphene nanoplatelets (GNPs) were respectively incorporated into porous melamine sponges by a facile approach of dip-coating to fabricate compression sensors. Uniaxial compression-resistance tests show that the compressibility
stability and piezoresistive sensitivity of sensors could be tailored by the filler type and concentration. A model considering the number of conductive pathways (NCP) is given to describe the relationship between the resistance change and applied compression
showing extremely good agreement with the experimental data. Also
the correlation between the equivalent filler volume fraction and conductivity is described by the other two models proposed by McLachlan and Kirkpatrick
revealing the electrical percolation thresholds (
Φ
c
) for the conductive systems under compression. Among the three fillers
CB particles endowed the composite with the best piezoresistive sensitivity but the largest
Φ
c
due to its small size and aspect ratio. A combination of experimental study and theoretical model opens up a way of further understanding the piezoresistive sensing behavior as well as optimizing the electrical property and piezoresistivity of compressive conductive polymer composite.
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