Material Model Calibration by Deep Learning for Additively Manufactured Alloys
Published: Jul 8, 2020
Abstract
Metal parts manufactured via Powder Bed Fusion (PBF) process show great potential in industrial applications. Hierarchical, heterogeneous microstructure characteristics of the PBF-built alloys pose a significant challenge to the prediction of structural performances. To enable computational engineering of this type of materials, multiscale microstructure modeling framework has been proposed to predict the stochastic material properties. AlSi10Mg...
Paper Details
Title
Material Model Calibration by Deep Learning for Additively Manufactured Alloys
Published Date
Jul 8, 2020
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