Transferring melt pool knowledge between multiple materials in laser-directed energy deposition via Gaussian process regression

Keyphrases

• Melt Pool 100%
• Transfer Learning Model 100%
• Multiple Materials 100%
• Laser Directed Energy Deposition 100%
• Gaussian Process Regression 100%
• Relation-aware 50%
• Computation Time 33%
• Input Model 33%
• Uncertainty Quantification 33%
• Process Map 33%
• Inconel 718 (IN718) 33%
• Knowledge Transfer 16%
• Gaussian Process 16%
• Process-based 16%
• Near-net-shape 16%
• Specific Material 16%
• Location-specific 16%
• Machine Components 16%
• Multi-fidelity 16%
• SS316L 16%
• Data-driven Modeling 16%
• Data Pooling 16%
• Inconel 625 (IN625) 16%
• Single Gaussian 16%
• Data-scarce 16%

Engineering

• Gaussians 100%
• Melt Pool 100%
• Multiple Material 100%
• Transfer Learning 100%
• Model Input 33%
• Computation Time 33%
• Uncertainty Quantification 33%
• Process Map 33%
• Near Net Shape 16%
• Machine Components 16%
• Repair Material 16%

Material Science

• Laser Directed Energy Deposition 100%