基于波包分解技术的铁基非晶涂层厚度超声检测与评价

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摘要

在强摩擦和强腐蚀的环境中，铁基非晶涂层可以为钢质设备提供防护，但是对于铁基非晶涂层质量的无损检测与评价仍然没有有效的方法。针对涂层质量检测需要，提出一种涂层质量高频超声检测与评价方法。通过建立三轴超声扫查系统，完成对超音速火焰喷涂(high-velocity oxygen-fuel, HVOF)铁基非晶涂层信息的高频超声扫查；然后针对信号中的界面回波混叠情况，设计母波包，对各检测信号进行卷积、波包分解和窄脉冲替换等处理，分离和提取各界面回波，提高检测信噪比；最后将重构检测信号成像，直观观察涂层厚度和质量，并与扫描电镜(scanning electron microscopy, SEM)结果对照，相对误差约为3.2%。

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	张昱
	陈尧
	李秋锋
	卢超
	周瑞琪
	龙盛蓉

关键词 ：铁基非晶涂层, 超声检测, 超音速火焰喷涂, 波包分解, 涂层结构成像

Abstract：

In the environment of strong friction and corrosion, iron-based amorphous coatings can provide protection for steel equipment.However, there is still no effective method of non-destructive testing and evaluation for the quality of iron-based amorphous coatings.A high frequency ultrasound detection and evaluation method for coating quality was proposed for requirements of coating quality detection.The high-frequency ultrasonic scanning for the information of iron-based amorphous coatings by high-velocity oxygen-fuel (HVOF) was completed through establishing a three-axis ultrasonic scanning system firstly.Then the mother wave packet was designed to deal with the mixing interface echo in the signals, and the detection signals were processed with convolution, wave packet decomposition, and narrow pulse substitution in turn, each interface echo can be separated and extracted and the detection signal-to-noise ratio would be improved.Finally, the reconstructed signals were imaged for visual observation of coating thickness and quality.And the relative error is 3.2% compared with the results of Scanning Electron Microscopy (SEM).

Key words： iron-based amorphous coating ultrasonic testing HVOF wave packet decomposition coatings structure imaging

收稿日期: 2020-01-14 出版日期: 2021-06-28

引用本文:

张昱，陈尧，李秋锋，卢超，周瑞琪，龙盛蓉. 基于波包分解技术的铁基非晶涂层厚度超声检测与评价[J]. 振动与冲击, 2021, 40(12): 38-45.
ZHANG Yu，CHEN Yao，LI Qiufeng，LU Chao，ZHOU Ruiqi，LONG Shengrong. Ultrasonic test and evaluation for iron-based amorphous coatings based on wave packet decomposition. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(12): 38-45.

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http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I12/38

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