Project Grant 2225879
Award Date
7/1/22
Completion Date
6/30/24
Dollars Obligated
$505K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Salt Lake City, UT 84112, USA
Similar Awards
This Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) provides $523,552 to the University of Texas at Austin to develop advanced computational models for simulating complex turbulent fluid flows. The research aims to create reliable, broadly applicable turbulence models for use in Large Eddy Simulation (LES) to enable more practical and accurate simulations across fields like aeronautics, propulsion, power generation, and wind energy. In...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $412,791 to the University of Utah to better understand and model the phenomenon of boundary layer flashback in turbulent lean hydrogen flames. The primary goals are to develop accurate and affordable models that can predict the onset of this combustion instability, which is a key obstacle to transitioning industrial gas turbines from natural gas to clean hydrogen fuel. The research...
This $354,405 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Arizona State University aims to develop a modeling framework for large-eddy simulation of turbulent premixed flame in order to discover closure terms that describe combustion-induced energy backscatter. The research is expected to provide new subgrid-scale models that can accurately capture energy backscatter in turbulent premixed flame, which is critical for improving the...
The University of Utah received a $100,000 project grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems federal grant program titled Engineering (CFDA #47.041). Through this award, the University will undertake research to better understand and predict complex wind-driven wildfire propagation patterns using dynamical systems theory. Specifically, the University aims to uncover coherent patterns in wind data that could provide...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $349,999 Project Grant to the University of Texas at Austin to develop reliable Reynolds Averaged Navier-Stokes (RANS) turbulence models that can generalize to complex turbulent flows. The objective is to improve the predictive capabilities of computational fluid dynamics simulations, which have applications in aerospace, automotive, power generation, and wind energy sectors. The approach involves developing...
This $445,930 National Science Foundation project grant through the Engineering (47.041) program will fund the development of efficient methods to calibrate models for missing physics in simulations of complex turbulent reacting flows. The University of Notre Dame will optimize turbulence closures and develop an adjoint-based optimization method for canonical flows and a co-optimization framework leveraging adjoint and ensemble Kalman-based optimization for geometrically complex flows. The...
This $200,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Missouri System's Missouri University of Science & Technology to investigate compressibility effects on turbulence production in supersonic flows. The goal is to improve understanding of the mixing process in supersonic combustors for hypersonic flight applications. The project will utilize two-point focused laser differential interferometry to...
This $499,624 National Science Foundation project grant supports research at the University of Pittsburgh to develop physics-guided machine learning methods for turbulent flow simulation. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the three-year award aims to advance computational fluid dynamics capabilities. Specifically, the university researchers will create a new deep learning model incorporating physical constraints to reconstruct...
This federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $198,529 to the Florida Institute of Technology Inc. (Florida TECH) to conduct advanced numerical simulations and experiments on turbulent combustion in high-speed aerospace propulsion systems. The goal is to develop improved models and predictive capabilities for designing safer and more efficient scramjet and ramjet engines. The research integrates direct numerical simulations,...
This $294,555 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems, within the Engineering program (CFDA 47.041), will fund research at San Diego State University to develop neural network-based preconditioning methods to improve the computational efficiency of chemical property evaluations in reactive flow simulations. Specifically, the grantee will combine machine learning and adaptive tabulation approaches to more...