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ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning
We present a deep learning approach for quantifying and localizing ex-situ porosity within Laser Powder Bed Fusion fabricated samples utilizing in-situ thermal image monitoring data.
Feature anomaly detection system (FADS) for intelligent manufacturing
Anomaly detection is important for industrial automation and part quality assurance, and while humans can easily detect anomalies in components given a few examples, designing a generic automated system that can perform at human or above human capabilities remains a challenge.
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