Project Grant 2503055
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) grant award of $582,289 to Mississippi State University, awarded on October 1, 2025, supports the development of a groundbreaking machine learning-assisted multi-material 3D printer with a novel hybrid deposition process. The project seeks to integrate continuous fiber reinforcement and liquid-like polymer inks, enabling unprecedented precision in manufacturing high-performance composite structures and functional devices....
- This $1.02 million National Science Foundation Project Grant, funded under the Engineering program (CFDA 47.041), supports the development of computation-informed deep learning approaches to enable real-time prognosis of melt pool dynamics for additive manufacturing. Over the three-year period from July 2022 to June 2025, the awardee, Rutgers University, will create an integrated model using computational fluid dynamics simulations and deep learning to predict melt pool overheating during...
- 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...
- This $399,161 National Science Foundation project grant supports research at the University of Texas at Austin to develop new algorithms and simulations for co-designing the geometry and fabrication plans for direct-ink writing 3D printing. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), this three-year award will transform additive manufacturing design tools by allowing users to specify an object's desired mechanical behavior and automatically generate...
- This Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports research to develop methodologies for monitoring and improving personalized manufacturing processes, particularly for one-of-a-kind parts produced using additive manufacturing. The award, totaling $129,624 and spanning from June 1, 2024, to May 31, 2027, will enable researchers at the University of Oklahoma to establish a novel latent space monitoring approach based on...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $125,000.00 to the University of Dayton Research Institute Division to develop a real-time, non-destructive method for detecting internal defects in metal parts fabricated through additive manufacturing. The primary goal of this 2-year research project is to develop a physical framework that links the behavior of electromagnetic signals, specifically eddy current sensors, to the...
- This Project Grant award from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) totaling $344,918 will establish a collaborative research program at Florida International University (FIU) to develop advanced data-driven approaches for additive manufacturing (AM) or 3D printing of materials with locally tunable electrical and mechanical properties. The research aims to create new polymer resin formulations for digital light processing (DLP) 3D printing that can...
- This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will enable Iowa State University of Science and Technology to develop new materials and manufacturing methods for 3D printing multi-material objects with varying mechanical properties. The key objectives are to use machine learning to create resins enabling extreme mechanical contrast, develop a multi-material 3D printing process using photoswitches, and...
- This Project Grant award of $650,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support the University of Louisiana at Lafayette (ULL) in developing an advanced in-situ laser powder bed fusion additive manufacturing (AM) platform. The platform seeks to enable real-time monitoring and closed-loop control of the metal 3D printing process, aiming to improve the reliability and precision of complex, high-performance components. The award will fund the...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant, awarded to the Regents of the University of Michigan, supports a $496,138 collaborative research effort to develop an approach for optimally determining laser scan sequences in laser powder bed fusion (LPBF) additive manufacturing. The goal is to create knowledge that enables 3D printing of complex metallic parts with fewer failed or defective prints, thereby improving the economic viability of LPBF. The...
This $887,740 Project Grant award from the National Science Foundation's Integrative Activities program (CFDA 47.083) supports the development of a real-time monitoring and structural validation system for continuous fiber printing, an advanced additive manufacturing technique. The key products and services to be delivered include: The project aims to reduce material waste and ensure that continuous fiber printed components meet design requirements for immediate use. The broader impacts include the development of open-source tools, datasets, and computational methods that integrate multi-modal sensing with predictive decision-making for advanced manufacturing. This work will advance research in machine learning, adaptive manufacturing, and real-time decision-making.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $887.7k | 7/28/25 |