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