Acoustic emission detection for mass fractions of materials based on wavelet packet technology

被引：12
|
作者：
Wang, Xianghong [1 ,2 ,3 ]
Xiang, Jianjun [1 ]
Hu, Hongwei [1 ]
Xie, Wei [1 ]
Li, Xiongbing [4 ]
机构：
[1] Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techn, Changsha 410004, Hunan, Peoples R China
[2] Changsha Univ Sci Technol, Minist Educ, Engn Res Ctr Catastroph Prophylaxis & Treatment R, Changsha 410004, Hunan, Peoples R China
[3] Changsha Univ Sci & Technol, Key Lab Lightweight & Reliabil Technol Engn Vehic, Changsha 410004, Hunan, Peoples R China
[4] Cent S Univ, CAD CAM Inst, Changsha 410075, Hunan, Peoples R China
来源：
ULTRASONICS | 2015年 / 60卷
基金：
中国国家自然科学基金;
关键词：
Acoustic emission; Mass fraction; Wavelet packet; Non-destructive testing; Attenuation; TRANSFORMATION; SIGNALS;
D O I：
10.1016/j.ultras.2015.02.001
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Materials are often damaged during the process of detecting mass fractions by traditional methods. Acoustic emission (AE) technology combined with wavelet packet analysis is used to evaluate the mass fractions of microcrystalline graphite/polyvinyl alcohol (PVA) composites in this study. Attenuation characteristics of AE signals across the composites with different mass fractions are investigated. The AE signals are decomposed by wavelet packet technology to obtain the relationships between the energy and amplitude attenuation coefficients of feature wavelet packets and mass fractions as well. Furthermore, the relationship is validated by a sample. The larger proportion of microcrystalline graphite will correspond to the higher attenuation of energy and amplitude. The attenuation characteristics of feature wavelet packets with the frequency range from 125 kHz to 171.85 kHz are more suitable for the detection of mass fractions than those of the original AE signals. The error of the mass fraction of microcrystalline graphite calculated by the feature wavelet packet (1.8%) is lower than that of the original signal (3.9%). Therefore, AE detection base on wavelet packet analysis is an ideal NDT method for evaluate mass fractions of composite materials. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：27 / 32
页数：6
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