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Simulation of Fluid Flow and Collection Efficiency at Low Stokes NumberNumerical simulations of fluid flow and collection efficiency for a Science Engineering Associates (SEA) Robust probe are presented. The cases cover a range of freestream velocity from 10-135 m/s, and particle sizes from 1-200 µm. This combination produces results for Stokes numbers in the range of 0.07-1092. A blended modified Stokes (defined in the paper) is introduced which covers a range of 0.07-146. Of particular interest is the collection efficiency of the sensing element (a forward-facing half-pipe), Etot, in the low Stokes number regime. It was observed that the collection efficiency of the sensing area approached one for large Stokes numbers (>100) as expected. As blended modified Stokes number approached one, the Etot dropped to approximately 0.5. By blended modified Stokes numbers of 0.3, the Etot has dropped to essentially zero. Plotting collection versus blended modified Stokes number, the different freestream velocities collapsed quite well on to a single curve. The paper presents a discussion on the flowfield and local collection efficiency, beta, in an effort to explain the predictions. Of particular interest is what is essentially a shadow zone in plain sight. As the Stokes number is reduced, the local beta along the centerline of the half-pipe goes to zero. This occurs at Stokes numbers where the overall collection, Etot, is still appreciable. An empirical relation was developed to allow for corrected collection values at low Stokes numbers. The correlation remains within 2% for blended modified Stokes numbers above 1, and within 6% for all cases.
Document ID
20205002263
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
David L. Rigby
(Vantage Partners, LLC)
Peter M. Struk
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
May 15, 2020
Subject Category
Fluid Mechanics And Thermodynamics
Meeting Information
Meeting: AIAA Aviation Forum and Exposition
Location: Online
Country: US
Start Date: June 15, 2020
End Date: June 19, 2020
Sponsors: Lockheed Martin (United States), Northrop Grumman (United States), Boeing (United States)
Funding Number(s)
WBS: 081876.02.03.08
CONTRACT_GRANT: 80GRC020D0003
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
Instrumentation
Icing
Computational
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