109 citations · 156 across the 3 of their papers we have counts for
3 papers
MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
Parand Akbari, Masoud Zamani, Amir Mostafaei
Predicting mechanical properties in metal additive manufacturing (MAM) is essential for ensuring the performance and reliability of printed parts, as well as their suitability for…
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…
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…