Codes
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Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
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Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning
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Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance
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Adaptive In-Situ monitoring for laser powder bed Fusion: Self-Supervised learning for layer thickness monitoring across scan lengths based on pyrometry
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Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions
Codes Dataset
Analysis of time, frequency and time-frequency domain features from acoustic emissions during Laser Powder-Bed fusion process
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Optimizing In-situ Monitoring for Laser Powder Bed Fusion Process: Deciphering Acoustic Emission and Sensor Sensitivity with Explainable Machine Learning
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Monitoring Of Laser Powder Bed Fusion Process By Bridging Dissimilar Process Maps Using Deep Learning-based Domain Adaptation on Acoustic Emissions
Dataset
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Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework
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In situ quality monitoring in direct energy deposition process using co-axial process zone imaging and deep contrastive learning
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Monitoring of Direct Energy Deposition Process Using Manifold Learning and Co-Axial Melt Pool Imaging
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Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion process
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Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring
Dataset
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Acoustic emission signature of martensitic transformation in Laser Powder Bed Fusion of Ti6Al4V-Fe, supported by operando X-ray diffraction
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