Intelligent recognition method for defects in friction stir welding based on ultrasonic phased array and related equipment
By combining ultrasonic phased array technology and YOLO model, automatic identification and evaluation of defects in friction stir welding have been achieved, solving the problem of inaccurate detection in existing technologies and improving the accuracy and reliability of detection.
CN122109338APending Publication Date: 2026-05-29NDT TECH SHANGHAI
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NDT TECH SHANGHAI
- Filing Date
- 2026-01-16
- Publication Date
- 2026-05-29
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Figure CN122109338A_ABST
Abstract
The application discloses a kind of based on ultrasonic phased array's stir friction welding defect intelligent identification method and related equipment, method includes: obtaining the stir friction welding detection data of ultrasonic phased array, according to the stir friction welding detection data first image is constructed;The first image is input to the trained prediction model, and the defect information of stir friction welding is obtained;The defect includes any one or more in porosity, incomplete penetration, tunnel type hole or crack;The defect information includes any one or more in defect echo amplitude, defect height or defect length;The prediction model is based on YOLO big data model training obtains.This embodiment can automatically detect stir friction welding and improve the accuracy of identifying stir friction welding defect.The present application can be widely applied in nondestructive testing technical field.
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