首页> 外文期刊>Ultrasonics >Acoustic emission detection for mass fractions of materials based on wavelet packet technology
【24h】

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

机译:基于小波包技术的材料质量分数声发射检测

获取原文
获取原文并翻译 | 示例
           

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.
机译:在传统方法检测质量分数的过程中,材料经常被损坏。在这项研究中,声发射(AE)技术与小波包分析相结合被用于评估微晶石墨/聚乙烯醇(PVA)复合材料的质量分数。研究了不同质量分数的复合材料上AE信号的衰减特性。利用小波包技术对声发射信号进行分解,得到特征小波包的能量和幅度衰减系数与质量分数之间的关系。此外,通过样本验证了这种关系。微晶石墨的比例越大,对应于能量和振幅的衰减越大。频率范围从125 kHz到171.85 kHz的特征小波包的衰减特性比原始AE信号更适合检测质量分数。由特征小波包计算得到的微晶石墨质量分数的误差(1.8%)低于原始信号的误差(3.9%)。因此,基于小波包分析的声发射检测是评价复合材料质量分数的理想无损检测方法。 (C)2015 Elsevier B.V.保留所有权利。

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