CF/PEEK composites ultrasonic infrared thermography testing: Excitation parameter optimization and fast multi-order graph fusion clustering segmentation

Key Points

• Optimized parameters improve segmentation accuracy in composite testing, leading to superior quality assurance.
• Key evidence shows a reduction in testing time by 30% with new optimization techniques for excitation parameters.
• Observational analysis of multiple composite samples reveals effective clustering methods for data segmentation.
• Highlights the potential for improving inspection procedures, although results are preliminary and may require validation on larger datasets.