Project Grant 2522950
- The National Science Foundation (NSF) awarded a $666,664 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Case Western Reserve University (CWRU) to conduct collaborative research on "Structural Alloys for Fatigue Endurance (SAFE)". The project aims to develop a data-driven approach to understand the relationship between defects, microstructure, and the fatigue behavior of additively manufactured structural alloys. The research will...
- The National Science Foundation (NSF) awarded a $516,664 Project Grant under the Mathematical and Physical Sciences grant program (CFDA 47.049) to Carnegie Mellon University. The grant, titled "COLLABORATIVE RESEARCH: DMREF: NSF-NSERC: STRUCTURAL ALLOYS FOR FATIGUE ENDURANCE (SAFE)," focuses on developing a new data-driven approach to understand the relationship between material defects, microstructure, and fatigue behavior of additively manufactured structural alloys. The research...
- This $249,999 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to establish a physics-informed machine learning (PIML) framework to enable accurate and transparent predictions of fatigue life and its variation for metal additive manufacturing (AM) components. The project will fabricate baseline fatigue samples of SS316L and Ti-6Al-4V alloys produced via laser powder bed fusion (LPBF) AM and post-processing, characterize their...
- This $210,000 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will support the development of an experimentally verified thermodynamic framework for evaluating the fatigue performance and life of composite materials. The research aims to account for complex failure mechanisms in composites like matrix cracking, delamination, and fiber breakage through an entropy-based approach. The grant will enable in-situ thermal imaging of composite...
- This $359,990 project grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Rutgers, The State University to establish a physics-informed machine learning (PIML) framework that can accurately predict the fatigue life and scattering behavior of metal components produced through laser powder bed fusion (LPBF) additive manufacturing (AM) processes. The key objectives are to: 1) characterize the quality and fatigue properties of...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) grant award of $149,999 to the University of Toledo supports research to advance the scientific understanding of fatigue behavior in a novel additively manufactured aluminum matrix nanocomposite material. The project aims to establish a comprehensive experimental and analytical framework to evaluate the extended fatigue performance (10 million to 10 billion cycles) of laser-based additively manufactured Al-Cu nanocomposites...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $200,000 project grant to the South Dakota School of Mines & Technology (SDSM&T) to develop a computational framework for simulating failure in advanced materials such as metal-ceramic composites. The objective is to establish a scalable multi-fidelity approach that accurately models elastic deformation and fracture in materials with complex mesoscale structures, enabling failure predictions at...
- This $400,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to systematically understand the dislocation-phonon drag regime in metallic materials across a wide range of strain rates. The research aims to develop a novel, small-scale, high-throughput approach to study the characteristics of dislocation-phonon interactions in metals and alloys at extremely high deformation rates. The integrated experimental-computational...
- This $1,481,906 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to discover and develop new multi-principal-element hexagonal-close-packed structural alloys using advanced computational materials science and additive manufacturing methods. The University of California, Berkeley is the awardee, with the State of California Controllers Office serving as the parent organization. The project aims to rapidly...
- The National Science Foundation (NSF) awarded a $659,445 Project Grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to the Massachusetts Institute of Technology (MIT) for a collaborative research project with the U.S.-Israel Binational Science Foundation (BSF). The project aims to establish and test a universal principle for designing damage-resistant metallic materials, with potential applications in aerospace, defense, medical devices, and nuclear power. The...
This $666,664 Project Grant awarded by the National Science Foundation (NSF) under the CFDA program "Mathematical and Physical Sciences" supports collaborative research on "Structural Alloys for Fatigue Endurance (SAFE)". The objective is to develop a data-driven approach to better understand the relationship between material defects, microstructure, and fatigue behavior in additively manufactured structural alloys. The research aims to create an integrated database and knowledge map to enable the development of new fatigue-resistant alloys. This 4-year project will be conducted by the California Institute of Technology (Caltech), a renowned research university with extensive capabilities in advanced materials research and computational science. The grant supports fundamental and applied research to address the critical engineering challenge of fatigue failures, which significantly impact the reliability and safety of various structures and devices across industries.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $666.7k | 8/25/25 |