Method for analyzing laser ultrasonic test carbon fiber prepreg fabric skin performance data
By constructing a three-dimensional voxel defect density field and an adaptive fine scanning path, combined with time-frequency domain analysis and process parameter mapping, the problems of low efficiency and insufficient accuracy in existing laser ultrasonic testing methods are solved, realizing intelligent testing and closed-loop quality control of carbon fiber prepreg fabric skin.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN DINGXINDE NEW MATERIAL TECHNOLOGY & INNOVATION CO LTD
- Filing Date
- 2026-06-04
- Publication Date
- 2026-07-17
AI Technical Summary
Existing laser ultrasonic testing methods lack adaptive path planning capabilities in the performance data analysis of carbon fiber prepreg fabric skins, making it difficult to achieve defect spatial distribution modeling and local performance data analysis. The test results are not sufficiently correlated with manufacturing process parameters, resulting in low testing efficiency, insufficient accuracy, and difficulty in forming a quality closed loop.
A three-dimensional voxel defect density field is constructed by initial coarse-grained scanning, an adaptive fine scanning path is generated, time-domain, frequency-domain, and time-frequency-domain analyses are performed, and the process parameters are mapped to generate process parameter adjustment instructions. Re-inspection and verification are then conducted to form a quality closed-loop control.
It achieves efficient and accurate defect detection and performance analysis, improves the utilization rate of detection equipment, reduces manual experience judgment, and establishes a correlation between detection and process parameters to ensure closed-loop quality control.
Smart Images
Figure CN122409844A_ABST