0

Full Content is available to subscribers

Subscribe/Learn More  >

Predicting Turbulent Boundary Layer Wall Pressure Fluctuations in Adverse Pressure Gradients

[+] Author Affiliations
Frank J. Aldrich, Jr.

General Dynamics Electric Boat Corporation

Paper No. IMECE2005-80797, pp. 99-108; 10 pages
doi:10.1115/IMECE2005-80797
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Noise Control and Acoustics
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Noise Control and Acoustics Division
  • ISBN: 0-7918-4225-8 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME

abstract

A physics-based approach is employed and a new prediction tool is developed to predict the wavevector-frequency spectrum of the turbulent boundary layer wall pressure fluctuations for subsonic airfoils under the influence of adverse pressure gradients. The prediction tool uses an explicit relationship developed by D. M. Chase, which is based on a fit to zero pressure gradient data. The tool takes into account the boundary layer edge velocity distribution and geometry of the airfoil, including the blade chord and thickness. Comparison to experimental adverse pressure gradient data shows a need for an update to the modeling constants of the Chase model. To optimize the correlation between the predicted turbulent boundary layer wall pressure spectrum and the experimental data, an optimization code (iSIGHT) is employed. This optimization module is used to minimize the absolute value of the difference (in dB) between the predicted values and those measured across the analysis frequency range. An optimized set of modeling constants is derived that provides reasonable agreement with the measurements.

Copyright © 2005 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In