Project Grant 2624720
- This National Science Foundation (NSF) Project Grant award, under the Engineering program (CFDA 47.041), provides $650,000 in funding to Carnegie Mellon University (CMU) from June 1, 2024 to May 31, 2027. The project aims to fully understand the mechanisms controlling shape distortion in additive manufacturing (AM) processes, particularly during the sintering of nano/microparticles. The research involves integrated experimental and theoretical work to identify critical AM process parameters that...
- The National Science Foundation Division of Computer and Network Systems awarded Iowa State University of Science and Technology $399,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for research on AI-enabled modeling, sensing, digital twins, and autonomous control in big area additive manufacturing. The project develops an intelligent manufacturing framework to detect and correct defects in large metal parts made using laser wire directed...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Arizona State University $549,994 on August 1, 2026, under the Engineering program (CFDA 47.041) to develop a science-based understanding of interfacial crack formation in multi-metal additive manufacturing. The project will create a multi-physics framework that predicts process-induced interfacial cracking in multi-metal additive manufacturing by integrating multicomponent heat and mass...
- The National Science Foundation awarded North Carolina State University a two-year $400,000 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop process monitoring methods for improving product quality in electron beam powder bed fusion additive manufacturing. The university will research an in-situ quality control framework using real-time sensing data to monitor product quality during manufacturing and adaptively adjust process...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Washington a $1 million cooperative agreement on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI technologies for complex engineering system design, testing, manufacturing, and operation. The institute will create physics-aware machine learning and AI tools to accelerate aerospace and advanced manufacturing development by enabling...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $459,300 to the University of Washington on October 1, 2025, under the Engineering program (CFDA 47.041) to develop methodologies for understanding cyber-physical resilience in continuous critical manufacturing systems using Industrial Internet-of-Things (IIoT) technologies. The project will build generalizable tools, detection measures, and control strategies to integrate IIoT network...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $612,379 supports research on the mechanics of soft, multiphase architected materials. The award recipient, Washington State University, will investigate the effects of solid-liquid phase interactions and geometric arrangement on the mechanical properties of these materials, which have potential applications in biomedical, healthcare, and soft robotics. The research aims to develop a nonlinear...
- This National Science Foundation (NSF) Designing Materials to Revolutionize and Engineer our Future (DMREF) Project Grant award, valued at $150,000 and running from October 1, 2023 to September 30, 2027, supports collaborative research to develop simulation-informed models for additive manufacturing of amorphous metals. The research team at The Washington University aims to derive meaningful measures of material structure from electron nanodiffraction and simulation data, and build predictive...
- 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 (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 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 sensing equipment. The research will integrate multimodal sensing modalities—including acoustic, thermal, electrical, and optical monitoring—with interpretable artificial intelligence and manufacturing science to enable practical in-situ quality assurance. The unified sensing and inference framework is intended to improve manufacturing reliability while reducing inspection costs and material waste across aerospace, defense, energy, and biomedical applications. The award supports fundamental research, graduate and undergraduate student training, and public release of multimodal datasets and educational resources. The project will integrate intelligent manufacturing and artificial intelligence into engineering education and engage high school students through hands-on outreach activities. Performance occurs at Washington State University in Pullman, Washington, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/13/26 |