A physics-informed machine learning method for predicting grain structure characteristics in directed energy deposition

INIS

• physics 66%
• energy deposition 66%
• machine learning 50%
• neural networks 50%
• data 33%
• metals 33%
• manufacturing 33%
• additives 33%
• algorithms 33%
• correlations 16%
• mechanical properties 16%
• fabrication 16%
• deposition 16%
• volume 16%
• performance 16%
• shape 16%
• prediction 16%
• control 16%
• geometry 16%
• layers 16%
• output 16%
• walls 16%
• feedback 16%
• microstructure 16%
• metrics 16%
• computerized simulation 16%
• heat transfer 16%
• inconel 718 16%

Material Science

• Crystal Microstructure 100%
• Directed Energy Deposition 66%
• Three Dimensional Printing 33%
• Metal 33%
• Inconel 16%
• Mechanical Property 16%
• Correlation 16%
• Heat Transfer 16%
• Microstructure 16%