Fluid Dynamics — U.S. National Science Foundation funding opportunity
U.S. National Science Foundation · Federal agency

Fluid Dynamics

TheFluid Dynamicsprogram is part of the Transport Phenomena cluster, which also includes 1) theCombustion and Fire Systemsprogram; 2) theParticulate and Multiphase Processesprogram; and 3) theThermal Transport Processesp...

62
match
Deadline Fixed Location Alabama Type grant Level Federal Open posted Mar 21, 2023
✦ AI Summary
  • Who can apply: Federal-level applicants (see eligibility for details).
  • Funding amount: total funding pool ~$9,175,000.
  • Issued by: U.S. National Science Foundation.
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The “key facts” mode pulls structured fields directly from the official source posting (amount, deadline, eligibility tags). The AI mode adds a short plain-English narrative on top, generated from the same source. Always verify with the agency before applying.

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Deadline
Fixed
Total pool
$9.2M

About this opportunity

TheFluid Dynamicsprogram is part of the Transport Phenomena cluster, which also includes 1) theCombustion and Fire Systemsprogram; 2) theParticulate and Multiphase Processesprogram; and 3) theThermal Transport Processesprogram. TheFluid Dynamicsprogram supports fundamental research toward gaining an understanding of the physics of various fluid dynamics phenomena. Proposed research should contribute to basic scientific understanding via experiments, theoretical developments, and computational discovery. Major areas of interest and activity in the program include: Turbulence and transition: High Reynolds number experiments; large eddy simulation; direct numerical simulation; transition to turbulence; 3-D boundary layers; separated flows; multi-phase turbulent flows; flow control and drag reduction. High-speed boundary layer transition and turbulence at Mach numbers greater than 5 to understand modal and/or non-modal interactions leading to boundary layer transition and the ensuing developing and fully developed turbulent boundary layer flows.Combined experiments and simulations are encouraged. Bio-fluid physics:Bio-inspired flows; biological flows with emphasis on flow physics. Non-Newtonian fluid mechanics:Single-phase viscoelastic flows; solutions of macro-molecules. Bubble dynamics: Bubbles related to cavitation and/or drag reduction or impacting the fluid viscosity (locally) or manipulation of bubbles with external excitation (acoustofluidics). Microfluidics and nanofluidics: Micro-and nano-scale flow physics. Wind and ocean energy harvesting: Focused on fundamental fluid dynamics associated with renewable energy. The NSF-DOE (Department of Energy) joint funding area is focused on high Reynolds number aerodynamics of thick airfoils (> 21% thickness/chord) operating in complex (3D) separated flows. Impacts of blade surface quality/roughness rotor performance on the aerodynamic/aeroelastic performance of novel rotor geometries and supporting structures are also of interest. Air/sea interactions, including waves/currents, on the hydrodynamic loading for offshore wind turbines. Improved measurement techniques and sensing/control technologies required to characterize the metocean environment impact on performance. The DoE participates in this initiative throughthe Wind Energy Technologies Office (program manager Michael Derby, email: [email protected]). Fluid-structure interactions:General FSI applications across the low- to high-Reynolds number range are of interest to NSF. In addition, NSF-AFOSR (Air Force Office of Scientific Research) joint funding area is focused on theory, modeling and/or experiments for hypersonic applications. AFOSR participates in this initiative through the Aerothermodynamics program. Canonicalconfigurations:Experimental research is encouraged to develop spatiotemporally resolveddatabases for canonical configurations to either confirm historicalresults or to provide data in an unexplored parameter region. Fidelity and completeness for theoretical/computational validation is a key attribute of theproposed experimental data. Artificial intelligence (AI)/machine learning:Innovative AI ideas related to the use of machine learning and other AI approaches in fluid dynamics research to model and control the flows are encouraged.Verifying new models with canonicalconfigurations, when appropriate, is encouraged for theComputational andData-Enabled Science & Engineering(CDS&E) program. Instrumentation and Flow Diagnostics: Instrument development for time-space resolvedmeasurements; shear stress sensors; novel flow imaging; and velocimetry. NOTE:Proposals that use fluid flows as a boundary input condition or a driving force in a problem do not fit within the scope of this program. Proposals focused on particulates (including droplets) two-way coupled with multiphase rheology and processes should be directed to the Particulate andMultiphase Processesprogram.

Funding agency

U.S. National Science Foundation
Federal agency

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Who can apply

Eligibility details aren't on file yet — check the agency source link in the Documents tab for the latest rules.

Geographic eligibility

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • Florida
  • Georgia
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Ohio
  • Oklahoma
  • Oregon
  • Pennsylvania
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • Utah
  • Vermont
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming
  • District of Columbia

How to apply

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Source documents

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Canonical NOFO, application packet, and forms
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Citation details

Source systemgrants.gov
Source ID347020
PostedMar 21, 2023

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