Research on Flaw Detection for 3-D Braided Composite Material Using Ultrasonic Testing Based on Wavelet Packet Transform

Abstract:

A method used to recognize the inner defects of 3-D braided composite materials is discussed. Firstly, the link between UT signals and the defects of 3-D braided composite material is analyzed. Then, the wavelet packet transform is used to process the ultrasonic scanning pulse signals of the defects. The characteristic quantities of signal are extracted into the BP neural network as samples. Through training the BP neural network, the recognize system of micro-cracks and pores is achieved. Finally, according to the results of experiment this classification system based on wavelet packet transform is proved to be feasible.

• Periodical: Advanced Materials Research (Volumes 146-147)
• Pages: 394-399
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.146-147.394
• Online since: October 2010
• Authors: Xiao Li He, Chong Liu
• Keywords: 3D Braided Composite, BP Neural Network (BPNN), Defect Identification, Ultrasonic Non-Destructive Testing, Wavelet Packet Transform

References

[1] Jialu Li: advanced material industry. No. 1(2010), p.13. In Chinese.

[2] Xiangsheng Huang, Hanbin Xiao: Engineering Technology. No. 3(2008), p.13. In Chinese.

[3] Schechter R S, Simmonds K E, Mignogna R B: Ultrasonics. Vol. 39(2001), p.256.

[4] Zhenkai Wan: Journal of Textile Research, Vol. 28 (2007), p.53. In Chinese.

[5] Xiaoyong Wang, Hua Qian: Nondestructive Inspection, Vol. 30 (2006), p.1. In Chinese.

[6] Wei QI, Lihai Wang: Forestry Science. Vol. 42 (2006), p.63. In Chinese.

[7] Xiongbiao Luo, Tiequn Chen: Journal of South China University of Technology, Vol. 33(2005), p.5. In Chinese.

[8] Linyu Yang, Runqiao Yu: Nondestructive Testing. Vol. 29 (2007), p.450. In Chinese.