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What is Real-Time Quality Monitoring in AM about?

This dissertation by Javid Akhavan focuses on integrating sensor modules and machine learning methods for real-time quality monitoring in additive manufacturing (AM). It addresses challenges in ensuring high-quality production by developing ML-driven models for monitoring and quality control, particularly for Fused Filament Fabrication (FFF) and Direct Energy Deposition (DED) technologies. Key contributions include innovative methodologies for anomaly detection, real-time adjustments, and the creation of la

Author

mtshyam1961

Language

EN