66 citations · 133 across the 12 of their papers we have counts for
3 papers · 1 filter
Surrogate Modeling of Melt Pool Thermal Field using Deep Learning
AmirPouya Hemmasian, Francis Ogoke, Parand Akbari +3
Powder-based additive manufacturing has transformed the manufacturing industry over the last decade. In Laser Powder Bed Fusion, a specific part is built in an iterative manner in…
Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing
Francis Ogoke, Kyle Johnson, Michael Glinsky +3
Laser Powder Bed Fusion has become a widely adopted method for metal Additive Manufacturing (AM) due to its ability to mass produce complex parts with increased local control. Howe…
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning
Parand Akbari, Francis Ogoke, Ning-Yu Kao +4
Characterizing meltpool shape and geometry is essential in metal Additive Manufacturing (MAM) to control the printing process and avoid defects. Predicting meltpool flaws based on…