Magnetic Profiling
High-resolution flux leakage mapping hardware categorizes local printed circuit board micro-defects during automated optical and electrical post-assembly verification. A near-field magnetic scanner detects sub-surface trace voids and broken internal copper planes by recording localized field distortion gradients across multi-layer dielectric boards. Production engineers use this non-contact diagnostic instrument during final functional sorting to isolate high-frequency inductive anomalies without stripping conformal coatings or damaging populated components.
Spatial Resolution
Sensor array positioning determines the smallest detectable fault geometry on dense multi-layer assemblies. Miniature pickup coils translate minute variations in magnetic permeability into measurable voltage anomalies along active traces. Signal processing algorithms filter out background interference from nearby transformers and high-speed clock generators to isolate the actual defect signature.
Probe height above the board surface governs overall spatial fidelity, because a larger air gap widens the pickup footprint and blurs fine trace boundaries. Calibration targets establish baseline flux responses before operators release the station for high-throughput automotive and aerospace circuit card production lines.
Defect Classification
Automated anomaly sorting algorithms separate harmless material variations from genuine fabrication failures based on amplitude and phase signatures. Hardware faults such as cracked solder joints or narrowed conductor necks exhibit distinct inductive signatures that differ predictably from normal copper grain structure variations. Quality control engineers map these classified voltage transients directly back to specific upstream etching or lamination parameters to prevent recurring yield loss.
Output data feeds statistical process control software without requiring destructive cross-sectioning or time-consuming manual probing of suspect circuit assemblies.