Intelligent defect identification and evaluation method for automated ultrasonic testing of composite materials

Abstract

The present invention provides an intelligent defect recognition and evaluation method for automated ultrasonic testing of composite materials, which belongs to the technical field of nondestructive testing and uses stable and reliable automated testing means to perform qualitative and quantitative detection of defects inside parts with variable thickness. The present invention proposes a new effective analysis interval within the ultrasonic time domain, as well as an intelligent recognition principle for multi-view imaging of defects based on this effective analysis interval, which is applicable to various types of composite material parts such as laminates and interlayers with varying thicknesses. The method can intuitively reflect the overall thickness and structural changes of parts, comprehensively collect ultrasonic signals and image them, and avoid missed detections and missed judgments; the method is simple to operate, convenient and fast, and can effectively eliminate the influence of human factors on detection accuracy, save manual analysis time, make detection results more reliable and improve detection efficiency; the method has strong versatility and is easy to operate, and is suitable for engineering applications of automated ultrasonic testing of composite materials.

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