Off-axis inclined light source scans composite laminate edges at symmetric angles to produce high-resolution images for ply orientation determination.
Automated fiber placement inspection compares visual images to virtual models for real-time anomaly detection.
Image normalization techniques equalize surface variations during automated fiber laying, reducing false positives and improving detection accuracy.
CIELAB colorimetry detects polymer overheating through delta-a value calculations, replacing heat-sensitive paints to eliminate maintenance downtime.
A spectrum-based prediction model correlates surface FTIR data with total moisture content in fiber composite components.