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Title: Statistical analysis of micro-crack parameters for PPy-coated fiber strain sensors applicable for large deformation
Authors: Wang, JP
Xue, P
Tao, XM 
Keywords: Conductive fibers
Flexible strain sensors
Image processing
Large deformation
Issue Date: 2011
Publisher: Scientific.Net
Source: Advanced materials research, 2011, v. 197-198, p. 1350-1353 How to cite?
Journal: Advanced materials research 
Abstract: The conductive fibers have great potential as flexible sensors. In our previous study, based on the experimental studies on sensing behavior of PPy (polypyrrole)-coated Lycra fibers, the mechanism of the strain sensing behavior was identified as open-close mechanism of the cracks on the coating layer when experiencing large deformation. In order to modeling its strain sensing behavior and describe quantitively the development of the micro-cracks, statistical analysis is conducted by image processing technique in MATLAB software. It was concluded that the variation of resistance is related to the micro parameters of the surface cracks, suck as the number, width and length of micro-cracks. These will be used in our further modeling work.
Description: 2nd International Conference on Manufacturing Science and Engineering, ICMSE 2011, Guilin, 9-11 April 2011
ISBN: 9783037850350
ISSN: 1022-6680
EISSN: 1662-8985
DOI: 10.4028/
Appears in Collections:Conference Paper

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