首页> 外文期刊>NDT & E international >Estimation of porosity content of composite materials by applying discrete wavelet transform to ultrasonic backscattered signal
【24h】

Estimation of porosity content of composite materials by applying discrete wavelet transform to ultrasonic backscattered signal

机译:通过对超声反向散射信号进行离散小波变换来估计复合材料的孔隙率

获取原文
获取原文并翻译 | 示例
       

摘要

As the use of composite materials in the aerospace industry increases, the development of advanced nondestructive evaluation (NDE) techniques for composite materials is in demand. Ultrasonic quantitative NDE technique for composite materials may provide good information on manufacturing quality, material strength and perhaps useful lifetime. It is well known that the effects of porosity in composite laminates on ultrasonic attenuation and velocity can be used in gauging the porosity content in composites, but back surface echoes may be absent or unusable due to complex geometry and bonding effects. In such cases the backscattered signals may be processed to extract porosity information. Measuring the porosity content in composite material by ultrasonic backscattering signal is a significant challenging problem in NDE of composite material. Backscattering signals are random and sensitive to volume fraction of pore and thickness of ply in composite material. Therefore the backscattering signal has various frequency bands and hence a signal decomposition method is required to analyze the ultrasonic backscattering signals. In this study, the discrete wavelet transform (DWT) using a MATLAB decomposition algorithm was applied to ultrasonic backscattered signals acquired in various porous composite laminates containing a porosity content that ranges from 0.01 to 11.90%. The ultrasonic backscattered signals were decomposed into two parts: the high frequency components called "Details" and the low frequency components called "Approximation". And then, the correlation analysis was performed between the porosity content and the peak amplitude and magnitude of peak frequency of the decomposed signal. Overall, the correlation was reasonably good. As a conclusion, the DWT technique showed good benefits for analyzing the porosity content in composites using ultrasonic backscattered signal from composite materials.
机译:随着复合材料在航空航天工业中的使用增加,需要开发用于复合材料的高级无损评估(NDE)技术。复合材料的超声定量NDE技术可以提供有关制造质量,材料强度以及使用寿命的良好信息。众所周知,复合材料叠层中的孔隙率对超声衰减和速度的影响可用于测量复合材料中的孔隙率,但是由于复杂的几何形状和粘结效果,可能不存在或无法使用背面回波。在这种情况下,可以处理反向散射信号以提取孔隙率信息。通过超声反向散射信号测量复合材料中的孔隙率是复合材料无损检测中一个重大的难题。反向散射信号是随机的,并且对复合材料中孔的体积分数和层的厚度敏感。因此,后向散射信号具有各种频带,因此需要信号分解方法来分析超声后向散射信号。在这项研究中,使用MATLAB分解算法的离散小波变换(DWT)应用于在孔隙率范围为0.01到11.90%的各种多孔复合材料层压板中获得的超声反向散射信号。超声反向散射信号被分解为两个部分:称为“ Details”的高频分量和称为“ Approximation”的低频分量。然后,在孔隙率含量与分解信号的峰值幅度和峰值频率的大小之间进行相关分析。总体而言,相关性相当好。结论是,DWT技术显示了使用复合材料的超声反向散射信号分析复合材料中孔隙率的良好优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号