Project Grant 2627490
- Federal Grant Award Summary Florida State University's Sponsored Research Administration Division received a $315,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025 through August 31, 2028. This collaborative research project will develop an intelligent system for detecting manufacturing anomalies in zero-shot learning settings by leveraging textual and...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Florida $249,999 on September 1, 2026, to develop self-learning digital twins for robotic remanufacturing under uncertainty, under the NSF Engineering program (CFDA 47.041). The award funds research to establish scientific foundations for digital twins that model, predict, and adjust to uncertain manufacturing conditions in real time. The project develops a computational...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Arizona State University $249,999 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop computational methods integrating semantic technologies and generative artificial intelligence for autonomous composition of resilient and explainable service-oriented supply chains. The research addresses vulnerability in globally distributed manufacturing networks by creating mechanisms...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $500,000 to the University of Florida Division of Sponsored Research on August 1, 2026, under the Engineering program (CFDA 47.041) to develop scalable manufacturing of smart sensors for visual detection of hazardous chemicals. The project will establish a manufacturing platform for chromogenic sensors integrating macroporous photonic crystal architecture with multi-stimuli-responsive shape memory...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of North Florida $200,000 on July 1, 2026, under the Engineering Research Initiation program to develop a vision-simulation-driven in-situ quality-control system for laser powder bed fusion manufacturing. The project addresses defect-driven scrap and rework in metal additive manufacturing by creating a within-layer detect-predict-decide-act loop that couples real-time perception,...
- Federal Grant Award Summary The University of Florida's Division of Sponsored Research received a $281,589 Project Grant from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2028. This research initiative focuses on developing model-agnostic strategies to align artificial intelligence (AI) systems with real-world operational goals in predictive...
- The National Science Foundation awarded a $200,000 Project Grant to Florida Institute of Technology Inc. under the Engineering program (CFDA 47.041) to investigate new approaches for concurrently considering manufacturing processes in the early stages of materials and product design. Specifically, the two-year award will support the development of a novel systems-based framework for the inverse co-design of materials, products, and manufacturing processes in terms of robust decisions made...
- The National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $223,843 Project Grant to Rutgers, The State University located in New Brunswick, New Jersey. The award, which runs from January 1, 2024 to December 31, 2026, is under the NSF Engineering program (CFDA 47.041) to develop data-driven methodologies for integrative monitoring and operation of multistage manufacturing systems. The key products and services to be delivered include:...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Florida Polytechnic University $199,561 on September 1, 2026, under the Engineering program (CFDA 47.041) to investigate how prototype fidelity and functionality influence stakeholder perceptions of emerging manufactured products during engineering design. The project conducts controlled human-subjects studies using physical footwear prototypes that vary in fidelity and functionality....
- 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,...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Florida State University $299,999 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop knowledge-guided methods for correcting predictive manufacturing models trained on corrupted or mislabeled data. The project will integrate hierarchical knowledge graphs, semantic consistency analysis, and localized model correction to remove invalid learned relationships from manufacturing process models while preserving useful process knowledge. The work targets high-value, low-volume production environments where rebuilding corrupted models is costly or infeasible. Researchers will extract relationships among defects, process conditions, materials, observable attributes, and manufacturing outcomes from validated engineering documents, images, and manufacturing data, using language models as constrained extractors of localized evidence and semantic clustering to identify inconsistencies. The approach aims to improve reliability of data-driven process certification, reduce defective production and material waste, and strengthen confidence in manufacturing systems that rely on predictive models for diagnosis, quality prediction, and certification decisions. The project will train graduate and undergraduate students through research, coursework, and industry collaboration. Research results, educational materials, and shareable software will be disseminated to academic and manufacturing communities. Performance extends from January 1, 2027, through December 31, 2029, with work performed in Tallahassee, Florida.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/5/26 |