基于振动声调制的微裂纹定位成像研究

凌田昊; 郑慧峰; 何虹儒; 呼刘晨; 曹永刚

doi:10.3969/j.issn.1000-1158.2020.02.15

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计量学报 ›› 2020, Vol. 41 ›› Issue (2) : 214-220. DOI: 10.3969/j.issn.1000-1158.2020.02.15

声学计量

基于振动声调制的微裂纹定位成像研究

凌田昊¹,郑慧峰¹,何虹儒²,呼刘晨¹,曹永刚¹

作者信息 +

Research on Micro-crack Localization Imaging Based on Vibro-acoustic Modulation

LING Tian-hao¹,ZHENG Hui-feng¹,HE Hong-ru²,HU Liu-chen¹,CAO Yong-gang¹

Author information +

文章历史 +

摘要

为了准确识别金属构件中的微裂纹,提出将振动声调制技术和延时叠加算法相结合的定位成像方法。通过基本原理分析,利用有限元软件对含有矩形微裂纹铝板模型进行振动声调制仿真,提取非线性损伤信号将其作为像素特征,使用延时叠加算法进行定位成像,并分析了成像的影响因素。实验中搭建了振动声调制检测系统对铝板里的圆形微裂纹进行定位成像,验证了上述方法的可行性。结果表明,成像结果与铝板上的原裂纹位置基本吻合,说明该定位成像方法能够实现微裂纹的有效定位。

Abstract

In order to accurately identify micro-cracks in metal components, a localization imaging method combining vibration acoustic modulation technology and delay superposition algorithm is proposed. By introducing the basic principle, the finite element software is used to simulate the vibration and acoustic modulation of the aluminum plate model with rectangular micro-cracks, and the non-linear damage signal is extracted as the pixel feature. The location imaging is carried out by using the delay superposition algorithm, and the influencing factors of the imaging are analyzed. In the experiment, a vibration acoustic modulation detection system was set up to locate the circular micro-cracks in the aluminum plate, which verified the feasibility of the above method. The results show that the imaging results are basically consistent with the original crack position on the aluminum plate, indicating that the positioning imaging method can effectively locate the micro-cracks.

导出引用

凌田昊,郑慧峰,何虹儒,呼刘晨,曹永刚. 基于振动声调制的微裂纹定位成像研究[J]. 计量学报. 2020, 41(2): 214-220 https://doi.org/10.3969/j.issn.1000-1158.2020.02.15

LING Tian-hao,ZHENG Hui-feng,HE Hong-ru,HU Liu-chen,CAO Yong-gang. Research on Micro-crack Localization Imaging Based on Vibro-acoustic Modulation[J]. Acta Metrologica Sinica. 2020, 41(2): 214-220 https://doi.org/10.3969/j.issn.1000-1158.2020.02.15

中图分类号： TB95

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基金

国家重点研发项目(2017YFF0205004);浙江省自然科学基金(Y15E050052);浙江省"仪器科学与技术"重中之重学科人才培育项目(JL150506);浙江省质量技术监督系统科研计划(20180103);浙江省大学生科研创新团队资助项目(2018R409053);中国计量大学卓越学生成果培育计划