An ontology-augmented LLM system for LPBF defect diagnosis and mitigation guidance reaches 0.808 macro F1 and substantial Cohen's kappa agreement on a literature-derived test set.
In-Situ Sensing, Process Monitoring and Machine Control in Laser Powder Bed Fusion: A Review
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Hybrid quantum-classical model with quantum feature encoding and clustering outperforms classical neural networks for LPBF melt pool prediction.
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A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
An ontology-augmented LLM system for LPBF defect diagnosis and mitigation guidance reaches 0.808 macro F1 and substantial Cohen's kappa agreement on a literature-derived test set.