6 citations · 6 across the 3 of their papers we have counts for
4 papers
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…
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning
Francis Ogoke, Amir Barati Farimani
Powder-based additive manufacturing techniques provide tools to construct intricate structures that are difficult to manufacture using conventional methods. In Laser Powder Bed Fus…
Graph Convolutional Neural Networks for Body Force Prediction
Francis Ogoke, Kazem Meidani, Amirreza Hashemi +1
Many scientific and engineering processes produce spatially unstructured data. However, most data-driven models require a feature matrix that enforces both a set number and order o…