Identification method for CFRP local pore defects based on recursive quantitative analysis of ultrasonic backscattering signal

被引：0
|
作者：
Wang Z. [1 ]
Yang C. [1 ]
Zhou X. [1 ]
Teng G. [1 ]
机构：
[1] State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2019年 / 38卷 / 21期
关键词：
Carbon fiber reinforced plastics (CFRP); Pore defect identification; Recursive quantitative analysis (RQA); Ultrasonic backscattering signal;
D O I：
10.13465/j.cnki.jvs.2019.21.032
中图分类号：
学科分类号：
摘要：
Taking ultrasonic backscattering signal of carbon fiber reinforced plastics (CFRP) as the study object, a new method called the recursive quantitative analysis (RQA) was proposed to analyze this signal's features, and then realize CFRP local pore defect identification and evaluation. Firstly, recursive plot analysis (RPA) and RQA were performed for ultrasonic backscattering signals of 5 standard CFRP specimens with the porosity of 0.2%-5.94%, respectively. The results showed that feature parameters of RQA including recursive rate and recursive entropy increase with increase in porosity. Then, RQA was performed for another CFRP specimen with unknown porosity to evaluate local pore defects, and identify regions most probably containing local pore defects. Finally, a destructive test was performed for the unknown porosity specimen to do microscopic morphology observation. It was shown that the actual pore defect regions agree well with the results identified using RQA to verify the effectiveness of RQA for identifying CFRP local pore defects. © 2019, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：229 / 235
页数：6
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