This National Science Foundation Project Grant of $728,684 supports research at The Pennsylvania State University to develop new machine learning and mathematical methods for quality control in manufacturing. Funded under the Engineering program (CFDA 47.041), the award runs from June 1, 2022 to May 31, 2025.
Specifically, the university will first create improved algorithms for identifying a subset of key process variables in continuous manufacturing that best indicate overall plant control, allowing for more effective monitoring and better product quality at lower cost. Additionally, researchers will develop techniques using 3D geometric data from laser scans to localize defects on discrete manufactured parts without lengthy preprocessing or need for registration to CAD models. Open source software and educational activities are expected to strengthen U.S. industrial competitiveness by disseminating the research outcomes.
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