Cooperative Agreement 70NANB16H191

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 $255,934 National Science Foundation Technology, Innovation, and Partnerships grant will support Exlattice, Inc.'s development of machine learning-powered additive manufacturing simulation software. Under the SBIR Phase I Project Grant, Exlattice will create a proof-of-concept for 3-5 orders of magnitude faster process simulation software to predict manufacturing failures from high temperature, residual distortion, and residual stresses. The proposed hybrid data-driven and physics-based...

This Project Grant award of $250,000 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into quantifying the uncertainty in the process-structure-property-surface (PSPS) relationship for additive manufacturing of Inconel 718 parts. The primary objective is to leverage uncertainty quantification (UQ) and machine learning (ML) frameworks to analyze microstructure and surface topography data, and derive data-driven models that...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $300,000 to Clemson University to advance the capability of metal additive manufacturing (AM) technologies in developing radiation-tolerant single-phase concentrated solid-solution alloys (SP-CSAS). The research aims to generate new knowledge on SP-CSAS' radiation tolerance and their intrinsic compositions, structures, and defects through experimental and computational...

This $700,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support The Johns Hopkins University's research on amorphous metal additive manufacturing. The project aims to develop simulation-informed models and computational tools to enable design of additively manufactured amorphous metals with desired strength and toughness properties. This will involve using machine learning to quantify structural order parameters...

This Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) supports research by Carnegie Mellon University (CMU) to investigate an innovative power field control strategy for achieving prescribed thermal histories throughout parts produced by powder bed fusion additive manufacturing. The $649,345 award, effective May 1, 2025 through April 30, 2030, aims to understand the effects of power field control on porosity, microstructure,...

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...

The National Science Foundation (NSF) awarded a $625,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Wisconsin - Madison. The grant will fund a collaborative research project titled "DMREF: Simulation-Informed Models for Amorphous Metal Additive Manufacturing". The goal is to develop simulation-informed models and computational tools that can predict the strength and toughness of amorphous metals produced through additive...

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...

This $247,667 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering federal grant program (CFDA 47.041), will fund collaborative research on laser powder-fed directed energy deposition (LP-DED) additive manufacturing. The University of Michigan will investigate fundamental interactions between high-speed metal particles and molten pools in LP-DED using synchrotron X-ray imaging and computational process modeling....