厚截面碳纤维复合材料远表面微缺陷超声检测

滕国阳; 周晓军; 杨辰龙; 曾祥

doi:10.3788/OPE.20182612.3108

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厚截面碳纤维复合材料远表面微缺陷超声检测

信息科学 | 更新时间：2020-07-05

- 厚截面碳纤维复合材料远表面微缺陷超声检测
- Ultrasonic detection method of micro defects in thick-section CFRP
- 光学精密工程 2018年26卷第12期页码：3108-3117
- 作者机构：
  
  1.浙江大学流体动力与机电系统国家重点实验室机械工程学院, 浙江杭州 310027
  2.中车株洲电力机车研究所有限公司, 湖南株洲 412001
- 作者简介：
  
  [ "滕国阳(1991-), 男, 甘肃靖远人, 博士研究生, 2013年于浙江大学获得学士学位, 主要从事非线性动力学及超声检测领域研究。E-mail:t_gy189@163.com" ]
  周晓军(1958-), 男, 浙江杭州人, 博士, 教授, 1978年、1982年于江苏大学分别获得学士、硕士学位, 1996年于浙江大学获得博士学位, 主要从事超声检测及自动化方面的研究。E-mail:cmeesky@163.com ZHOU Xiao-jun, E-mail:cmeesky@163.com
- 基金信息：
  
  浙江省自然科学基金资助项目(LY18E050002);中央高校基本科研基金资助项目(2018QNA4001)
- DOI：10.3788/OPE.20182612.3108
  中图分类号： TB553;TH145.9
- 收稿日期：2018-10-08，
  
  录用日期：2018-10-30，
  
  纸质出版日期：2018-12-25
- 稿件说明：
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滕国阳, 周晓军, 杨辰龙, 等. 厚截面碳纤维复合材料远表面微缺陷超声检测[J]. 光学精密工程, 2018,26(12):3108-3117.

Guo-yang TENG, Xiao-jun ZHOU, Chen-long YANG, et al. Ultrasonic detection method of micro defects in thick-section CFRP[J]. Optics and precision engineering, 2018, 26(12): 3108-3117.
滕国阳, 周晓军, 杨辰龙, 等. 厚截面碳纤维复合材料远表面微缺陷超声检测[J]. 光学精密工程, 2018,26(12):3108-3117. DOI： 10.3788/OPE.20182612.3108.

Guo-yang TENG, Xiao-jun ZHOU, Chen-long YANG, et al. Ultrasonic detection method of micro defects in thick-section CFRP[J]. Optics and precision engineering, 2018, 26(12): 3108-3117. DOI： 10.3788/OPE.20182612.3108.

摘要

为了识别厚截面碳纤维复合材料（CFRP）远表面的微缺陷，使用递归分析方法对超声检测信号进行分析。首先在厚截面CFRP材料上打孔以模拟微缺陷，采用水浸超声脉冲反射法对不同大小的模拟缺陷进行检测。然后选取缺陷位置附近信号段，确定嵌入维数

、延迟时间

、阈值

等参数，对各信号段进行递归分析，得到递归图及递归定量分析结果。比较无缺陷信号和有缺陷信号的递归图，从宏观上定性确定微缺陷对超声信号的影响；比较无缺陷信号和有缺陷信号的递归定量分析结果，根据每个递归定量参数的物理意义，对缺陷产生的影响作出合理的解释。最后，使用不同中心频率探头进行实验，确定合适的探头参数。分析结果表明，使用7.5 MHz高分辨率超声探头时检测效果最好；当嵌入维数为7、延迟时间为2、阈值为2时，递归图中出现异常白色区域、递归点增多且对角线结构变长，同时所选取的递归定量参数随缺陷增大而上升，表明厚截面CFRP远表面超声信号可能存在混沌结构，而微缺陷的存在会改变原有信号结构。所研究内容为实际微缺陷的定量识别及分类打下基础。

Abstract

To detect micro defects in thick-section carbon fiber reinforced composite (CFRP)

the recurrence analysis method was used to analyze ultrasonic signals of tested CFRP. First

small holes were made to simulate micro defects

and an ultrasonic pulse echo method was adopted to test these simulated defects of different sizes. Then

the signal segments around the defect position were selected

and recurrence analysis was performed after proper parameters like embedding dimension(m)

time delay(τ)

and threshold(ε) were chosen. The recurrence plots (RPs) of defect-free signals were compared with those of defective ones and

according to the physical meanings of recurrence quantification analysis (RQA) variables

the changes that appeared in RPs were explained. Finally

ultrasonic transducers with different frequencies were evaluated to determine which one has the best performance. The results show that a 7.5 MHz resolution series transducer is the best choice in our experiment

and while

and

the defects may cause dark areas

white bands

and longer diagnosis structure in RPs and correspondingly larger RQA variables. More concretely

the ultrasonic signal of defect-free thick-section CFRP appears in a chaotic state

while defects may break this state and lead to another one. The results will lay a foundation for the quantitative identification and classification of real micro defects.

关键词

Keywords

references

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