Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process

Keyphrases

• Physics-informed Machine Learning 100%
• Shadow Model 100%
• Laser Powder Bed Fusion (L-PBF) 100%
• Digital Shadow 100%
• Machine Learning Models 60%
• Statistical Physics 40%
• Physics-based Model 40%
• Surface Roughness 40%
• Melt Pool Geometry 40%
• Physics-based 20%
• Control Strategy 20%
• Machine Learning 20%
• Processing Parameters 20%
• Stochastic Nature 20%
• Additive Manufacturing Process 20%
• Processing Conditions 20%
• Predictive Ability 20%
• Control Applications 20%
• Accuracy Error 20%
• Single Track 20%
• Indian Institute of Technology 20%
• Order Reduction 20%
• Overhang 20%
• Process Control Measurements 20%
• Online Monitoring 20%
• National Institute of Standards 20%
• Calibration Process 20%
• Error Bound 20%
• Physics Learning 20%
• Statistical Prediction 20%
• Multi-track 20%
• Model Physics 20%
• Fast Prediction 20%
• Melt Pool 20%
• Inference Time 20%
• Lack-of-fusion Porosity 20%
• Digital Twin Model 20%
• Metal Laser Powder Bed Fusion 20%
• Process Control Optimization 20%
• Stochastic Calibration 20%

Engineering

• Fusion Process 100%
• Learning System 100%
• Laser Powder Bed Fusion 100%
• Melt Pool 60%
• Experimental Result 20%
• Control Strategy 20%
• Predictive Capability 20%
• Processing Parameter 20%
• Process Control 20%
• Processing Condition 20%
• Calibration Process 20%
• Additive Manufacturing Process 20%
• Accuracy-Error 20%
• Error Bound 20%
• Porosity 20%

Chemical Engineering

• Learning System 100%
• Process Control 20%