Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 01, 2022
Source ID
10.1016/j.jmatprotec.2022.117550

Entities

People

  • Alan Abul-haj
  • Alonso Peralta
  • Aniruddha Gaikwad
  • Benjamin Bevans
  • James Craig
  • Md Humaun Kobir
  • Prahalada Rao
  • Ziyad Smoqi

Organizations

  • National Science Foundation
  • United States Department of Energy

Tags

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Directed Energy