复合材料科学与工程 ›› 2020, Vol. 0 ›› Issue (6): 5-9.

• 基础研究 •    下一篇

碳纤维复合材料声发射源定位实验研究

齐添添1, 陈尧1, 何才厚1,2, 李秋锋1*
本文作者还有卢超1, 陈果1, 黄丽霞1。   

  1. 1.无损检测技术教育部重点实验室(南昌航空大学),南昌330063;
    2.江西省特种设备检验检测研究院鹰潭分院,鹰潭335000
  • 收稿日期:2019-09-10 出版日期:2020-06-28 发布日期:2020-06-28
  • 通讯作者: 李秋锋(1976-),男,教授,博士,硕士研究生导师,主要从事声学检测技术及检测信号处理等方面的研究,qiufenglee@163.com。
  • 作者简介:齐添添(1995-),女,硕士研究生,主要从事声学检测技术方面的研究。
  • 基金资助:
    国家自然科学基金(11764030,51865033);江西省优势科技创新团队建设专项计划(20171BCB24008) ;江西省教育厅科技项目(GJJ14530,GJJ170577);江西省自然科学基金(20171BAB206039);江西省质监局科技计划项目(GZJKE201810);南昌航空大学研究生创新专项资金项目(YC2018043)

EXPERIMENTAL RESEARCH ON ACOUSTIC EMISSION SOURCE LOCALIZATION FOR CARBON FIBER COMPOSITE

QI Tian-tian1, CHEN Yao1, HE Cai-hou1,2, LI Qiu-feng1*   

  1. 1. Key Laboratory of NDT (Nanchang Hangkong University), Ministry of Education, Nanchang 330063, China;
    2. Yingtan Branch of Special Equipment Inspection and Research Institute of Jiangxi, Yingtan 335000, China
  • Received:2019-09-10 Online:2020-06-28 Published:2020-06-28

摘要: 声发射检测技术可实现材料的动态监测,同时也存在一定的局限性,声发射信号在具有各向异性的碳纤维复合材料中的传播更为复杂,因此声发射源损伤定位有较大偏差。针对碳纤维复合材料板的声发射定位要求,采用一种时间反转聚焦增强算法。首先根据时间反转基本原理推导出信号增强处理方程式,可以推算出声源聚焦时刻,进而使声源信号场波幅值聚焦增强,提高信噪比;然后对检测区域进行波动图重构,通过聚焦信号对声源进行准确定位;最后通过实验对该定位算法进行验证,实验结果表明该定位算法可实现对复杂各向异性材料的声发射源定位,且定位精度较常规仪器定位方法有较大提高。

关键词: 声发射检测, 碳纤维复合材料, 声源定位, 聚焦时刻, 信噪比

Abstract: Acoustic Emission (AE) testing technology can realize the dynamic monitoring of materials, and it also has certain limitations. Because the AE signal is more complicated in the anisotropic carbon fiber composite material, the AE source damage location has a large deviation. A time reversal focusing and enhancing algorithm is used for the AE positioning requirements of carbon fiber composite plate. Firstly, according to the basic theory of time reversal, the signal enhancement processing equation is derived, and the focus time of the AE source can be calculated, furthermore enhancing the focus amplitude of the AE source signal field and the signal to noise ratio (SNR) is improved. Then the wave image is reconstructed in the detection area, and the AE source is accurately positioned by the focus signal. Finally, the method has been verified through experiment, and the results show that the localization algorithm can locate the AE source of complex anisotropic materials, and the positioning accuracy is greatly improved compared with the conventional instrument positioning method.

Key words: acoustic emission (AE) testing, carbon fiber composite, source location, focusing time, signal noise ratio (SNR)

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