Project Grant 2502012
Award Date 9/1/25
Completion Date 8/31/27
Dollars Obligated $125K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Middletown, CT 06459, USA
Similar Awards
- This Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), provides $649,345 to Carnegie Mellon University to investigate an innovative power field control strategy to achieve prescribed thermal histories throughout parts produced via powder bed fusion additive manufacturing. The research aims to enable the design of novel processing pathways to tailor material properties, fully utilizing the processing capabilities of open-architecture...
- 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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project focused on developing intelligent scan sequence generation to reduce local overheating, distortion, and residual stress in laser powder bed fusion (LPBF) additive manufacturing. The $250,000 award, spanning January 1, 2025 to December 31, 2027, will enable researchers at the University of Pittsburgh to mathematically, numerically, and experimentally...
- This Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering program (CFDA 47.041), provides $598,148 to the University of California, San Diego for the period of January 1, 2023 through December 31, 2025. The award will support the development of new analytical frameworks to improve control of metal additive manufacturing processes through theoretical and experimental investigations. Specifically, the university...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $249,614 to The University of Texas Rio Grande Valley to explore a novel approach for creating stronger, more heat- and stress-resistant metals for extreme environments. The research project is developing an innovative technique that forms durable ceramic particles within molten metal during 3D printing, using a directed energy deposition process that injects reactive...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award provides $570,160 to The University of Texas Rio Grande Valley (UTRGV) from September 1, 2025 through August 31, 2030. The project aims to enable defect-free, high deposition rate metal additive manufacturing by integrating efficient and cost-effective thermal energy sources such as induction heating and ultrasonic vibration, in addition to laser melting. The goal is to achieve a balanced thermal environment...
- 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...
- 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...
- 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: Modeling techniques to determine how defects affect the structural performance of printed parts Deep learning models to process multi-modal sensor data (e.g.,...
- The National Science Foundation awarded a $135,113 Project Grant to the University of Michigan under the Engineering (47.041) federal grant program. The grant will support research to develop an additive manufacturing process using selective laser melting for thermoelectric waste heat recovery materials and devices. Key activities include establishing a correlation between laser processing variables and thermoelectric material characteristics to provide a net-shape and scalable additive...