Engineering Researchers Use AI to Enhance Defect Detection in Metal 3D Printing
FAMU-FSU College of Engineering researchers are leveraging artificial intelligence to develop advanced defect detection tools for powder-based 3D printing, supported by a $2.2 million Air Force grant.
The team, led by Associate Professor Hui Wang, is collaborating with Pennsylvania State University and HP Inc. to implement combinatorial generalization (CG) techniques that significantly improve defect prediction models in additive manufacturing processes.