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Phase-Consistency-Adaptive Multi-Path Total Focusing Ultrasonic Imaging for Delamination Quantification in L-Shaped
Jie Ding1,2, Jinming Cao2, Tengfei Ma2,3
1The School of Materials Science and Engineering, Southeast University, Nanjing 211189, China.
A new ultrasonic imaging method improves defect detection in complex composite parts. The phase-consistency-adaptive multi-path fusion TFM (PCA-MPF-TFM) enhances signal clarity and accuracy for carbon fiber parts.
Area of Science:
- Materials Science
- Non-destructive Testing
- Ultrasonic Imaging
Background:
- Ultrasonic full matrix capture (FMC) with delay-and-sum total focusing method (TFM) requires precise ray path and travel time calculations.
- Complex geometries like L-shaped carbon fiber-reinforced polymer (CFRP) parts present challenges due to anisotropy, multilayering, and curvature, causing signal clutter and inaccurate defect sizing.
Purpose of the Study:
- To develop an advanced TFM technique for improved defect detection and sizing in CFRP components.
- To overcome limitations of conventional TFM in handling anisotropic, multilayered, and curved structures.
Main Methods:
- Proposed a phase-consistency-adaptive multi-path fusion TFM (PCA-MPF-TFM) for pixel-wise path selection and fusion.
- Utilized pulse-echo FMC data from a water-immersion linear array on an L-shaped CFRP specimen with PTFE inserts.
- Validated the method against conventional isotropic TFM.
Main Results:
- PCA-MPF-TFM successfully detected an edge-adjacent delamination masked by structural noise, achieving a 9.2 dB signal-to-noise ratio (SNR) and 0.2 mm length error.
- Improved SNR by 25 dB and reduced length error from 0.6 mm to 0.2 mm for a second delamination.
- Demonstrated enhanced defect detectability and noise robustness in complex material structures.
Conclusions:
- The PCA-MPF-TFM method significantly improves ultrasonic inspection of L-shaped CFRP parts.
- The technique offers robust performance in challenging conditions, maintaining sub-millimeter sizing accuracy.
- This advancement aids in reliable non-destructive evaluation of composite materials.
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