Surface leakage wave ultrasonic synthetic aperture focusing imaging method

Abstract

The invention discloses a surface leakage wave ultrasonic synthetic aperture focusing imaging method. Efficient high-resolution imaging detection of defects on the surface or near surface of a part isachieved. A four-axis motion detection device controls a water immersion focusing probe to obliquely enter the surface of a workpiece to generate surface leakage waves, then surface leakage wave pulse echo signals are collected, and finally the surface leakage wave pulse echo signals are subjected to synthetic aperture focusing imaging to achieve defect recognition. The method has the technical effects that imaging of defects on the surface or the near surface of the part can be efficiently achieved in a non-contact mode, the detection efficiency and the imaging resolution are improved, and an effective nondestructive detection method is provided for evaluating the surface quality of a metal component.

Description

technical field [0001] The invention relates to an ultrasonic non-destructive testing imaging method, in particular to a leakage surface wave ultrasonic synthetic aperture focusing imaging method. Background technique [0002] Metal or non-metallic components are prone to surface or near-surface defects during manufacturing and use, such as corrosion, surface pores, cracks and slag inclusions, etc. These defects will cause stress concentration, reduce fatigue strength, reduce bearing capacity, and even cause component damage. Fractures, etc., seriously affect the quality of components and equipment safety. [0003] Ultrasonic testing is a commonly used non-destructive testing method. At present, the use of ultrasonic longitudinal waves and transverse waves to detect the surface or near the surface of parts often has problems such as difficult identification of defects and poor imaging effects due to the sharp fluctuation of sound pressure in the near-field area and the overl...

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Problems solved by technology

For example, in the literature "Chang Junjie, Wang Xingguo, Xu Jiujun. Quality evaluation of plasma sprayed coatings based on leaky Rayleigh waves [J]. Rare Metal Materials and Engineering, 2009, 38(S2): 726-730" through the analysis of non-defective samples and The phase velocity and attenuation coefficient of the leakage surface wave of the defective sample are compared to evaluate the quality of the coating. Realize detection imaging, making the detection efficiency low

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