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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 146-147)

Edited by:

Sihai Jiao, Zhengyi Jiang and Jinglong Bu

Pages:

394-399

DOI:

10.4028/www.scientific.net/AMR.146-147.394

Citation:

X. L. He and C. Liu, "Research on Flaw Detection for 3-D Braided Composite Material Using Ultrasonic Testing Based on Wavelet Packet Transform", Advanced Materials Research, Vols. 146-147, pp. 394-399, 2011

Online since:

October 2010

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Price:

$35.00

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