一种CFRP制孔缺陷声发射浮动检测装置及检测方法
By designing a floating pressure measurement module and an adaptive clamping module, and combining them with an improved FA-BP neural network algorithm, the problem of acoustic emission sensors fitting on the surface of workpieces with varying curvature was solved, thereby improving the accuracy and efficiency of CFRP hole-making defect detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN UNIV OF SCI & TECH
- Filing Date
- 2023-07-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing acoustic emission fixing devices cannot effectively adapt to acoustic emission sensors of different sizes, and cannot maintain effective fit on the surface of workpieces with varying curvature, resulting in low efficiency, low accuracy and poor stability in hole wall roughness detection.
A floating pressure measurement module and an adaptive clamping module are adopted. The clamping direction of the acoustic emission sensor is adjusted by motor drive and spring plate structure. Combined with the improved FA-BP neural network algorithm, the detection accuracy is improved.
It achieves stable bonding of acoustic emission sensors to the surface of workpieces with varying curvature, improves the accuracy and efficiency of hole wall roughness detection, is easy to operate, and is adaptable to acoustic emission sensors of different sizes.
Smart Images
Figure CN116990387B_ABST