04.1 - Aerospace Grade Materials, Structural Analysis, Fatigue and Damage Tolerance
A PHASE FIELD BASED DEEP LEARNING APPROACH FOR MECHANICAL PROPERTY PREDICTION OF SINTERED SILVER IN POWER ELECTRONICS
B.R. Yang¹, B. Wan¹, G.C. Fu¹, X.H. Wang¹, X.H. Wang¹, J. Yao¹; ¹Beihang University, China
Sintered silver have promising packaging applications in power electronics because of its superior mechanical properties. However, it contains pore structures induced by sintering process which deeply affect its mechanical properties. Thus, we proposed a deep learning method to predict mechanical properties of porous sinter silver using data generated from phase field simulation.