Grant

Predicting and Classifying Microstructural and Process Defects in Nickel-Based Superalloys Produced by Laser Powder Bed Fusion Using Process Monitoring and Machine Learning

Sponsored by NASA Headquarters

Active

$745.9K Funding

2 People

External

Related Topics

machine learning, materials science, process monitoring, additive manufacturing, defect classification

People

Andrew Wessman
Principal Investigator (PI)
Materials Science & Engr﹒Assistant Professor
Mohammed Shafae
Co-Investigator (COI)
Systems and Industrial Engr﹒Assistant Professor