Project Grant 2629316
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded CSU Fullerton Auxiliary Services Corporation $248,043 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop a self-organizing manufacturing systems integration framework for personalized and dynamic production. The award funds research into autonomous manufacturing agents capable of collectively performing dynamic scheduling, resource allocation, and process control under...
- Federal Project Grant Award Summary San Jose State University Research Foundation received a $124,948 Engineering Research Initiation (ERI) grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) effective October 1, 2025, through September 30, 2027. The award funds research into vibration-assisted friction stir surfacing (VAFSS) as a post-processing technique for additively manufactured metal parts produced via laser powder bed...
- 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...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $354,392 Project Grant to The Regents of the University of California for collaborative research on learning and distributional feedback control for fabrication of advanced materials. The three-year award running from August 1, 2021 to July 31, 2024 is funded through the Engineering program (CFDA 47.041) to improve innovation, creativity and excellence in engineering research and education....
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Southern California $250,000 on September 1, 2026, for collaborative research under the Engineering program (CFDA 47.041) to develop self-organizing manufacturing systems capable of distributed decision-making and dynamic adaptation to changing production conditions. The project, titled "SMARTSOM: Self-Organizing Manufacturing with Task Constraints and...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Washington State University $300,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop scalable, real-time defect characterization methods for metal additive manufacturing using low-cost sensing technologies. The project addresses the challenge of detecting internal defects during metal additive manufacturing fabrication without relying on expensive, process-specific...
- The National Science Foundation Division of Engineering Education and Centers awarded $199,982 to The University Corporation on September 1, 2026, under the Engineering program (CFDA 47.041) to assess four-year teaching institutions' readiness to incorporate emerging technologies into civil and construction management undergraduate programs. The project conducts an exploratory study examining structural supports and barriers, as well as faculty-level perceived agency and readiness to teach...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of California, Davis $131,614 on January 1, 2027, to develop a discrete modeling framework for fracture and damage prediction in structural steel under NSF Engineering (CFDA 47.041). The research develops a multiscale computational framework integrating a discrete particle representation of steel microstructure within conventional finite element simulations to capture crack...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Florida International University $675,000 on September 15, 2026, under the Engineering program (CFDA 47.041) to develop rapid, in-line defect identification technologies for electronics manufacturing. The project addresses subsurface defect detection in semiconductor packages by integrating millimeter-wave imaging, artificial intelligence, and digital-twin modeling to enable real-time,...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $300,001 Project Grant to the University of Southern California (USC) for the project "COLLABORATIVE RESEARCH: PROCESS-INFORMED LATENT SPACE REPRESENTATION, LEARNING, AND MONITORING FOR SMART PERSONALIZED MANUFACTURING." This 3-year award, effective June 1, 2024, will develop novel methodologies to enable process monitoring and geometric quality control for personalized manufacturing of one-of-a-kind...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Fresno Foundation California State University $200,000 on September 1, 2026, under the Engineering Research Initiation (ERI) program (CFDA 47.041) to develop analytical and computational approaches for automated manufacturing defect inspection systems. The research addresses reliability and interpretability challenges in automated inspection by combining complementary sensing information, explicitly modeling uncertainty, and incorporating domain knowledge to improve detection, evaluation, and interpretation of defects. The project recognizes that modern manufacturing variability—differences in raw materials, processing parameters, equipment conditions, and environmental influences—produces defects that differ substantially in appearance, composition, and geometry, which existing inspection systems designed for controlled conditions often fail to detect consistently. The work aims to establish a theoretically grounded framework that accounts for measurement noise, surface variability, and changing production environments to strengthen the scientific basis of automated inspection and support reliability of domestic production systems. The project also integrates modern sensing and data-driven quality monitoring into engineering coursework to support workforce development and regional manufacturing capability. Performance occurs in Fresno, California, with a period of performance running through May 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/20/26 |