A review of deep learning in metal additive manufacturing: Impact on process, structure, and properties

Keyphrases

• Process Structure 100%
• Processing Properties 100%
• Metal Additive Manufacturing 100%
• Deep Learning 100%
• Manufacturing Effects 100%
• Additive Manufacturing 66%
• Metallic Components 33%
• Microstructure 33%
• Residual Stress 33%
• Computational Efficiency 33%
• Additive Manufacturing Process 33%
• Computational Resources 33%
• Microstructure Control 33%
• Part Design 33%
• Residual Distortion 33%
• Defect Detection 33%
• Monitoring Control 33%
• In-situ Process 33%
• Algorithm Selection 33%
• Data Requirements 33%
• Property Control 33%
• Model Interpretability 33%
• Physics-informed Deep Learning 33%
• Foundational Framework 33%
• Deep Learning Applications 33%
• Additively Manufactured 33%

Material Science

• Three Dimensional Printing 100%
• Residual Stress 25%