CaltechAUTHORS
Published June 2010 | Version Published
Book Section - Chapter Open

Unstructured Large Eddy Simulation Technology for Prediction and Control of Jet Noise

Creators

  • 1. ROR icon Cascade Technologies (United States)
  • 2. ROR icon Stanford University
  • 3. ROR icon California Institute of Technology
  • 4. ROR icon Raytheon (United States)

Abstract

Development of concepts for reduction of jet noise has relied heavily on expensive experimental testing of various nozzle designs. For example, the design of nozzle serrations (chevron) and internal mixer/ejector nozzles have relied largely on laboratory and full-scale testing. Without a deeper understanding of the sources of high-speed jet noise it is very difficult to effectively design configurations that reduce the noise and maintain other performance metrics such as nozzle thrust. In addition, the high complexity of the flow limits the success of a parametric black-box optimization.

Additional Information

© 2010 by ASME and United Technologies Research Center. Paper No. GT2010-22306. We acknowledge Dr. Shoreh A. Hajiloo from CASCADE Technologies Inc. for her contribution in designing the computational mesh, RANS simulations, and reviewing the present paper. We are also thankful to Mr. Mohammad Shoeybi from Stanford University for many good discussions and his help with the acoustic projection module.

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Published - GT2010-22306.pdf

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Eprint ID
92956
Resolver ID
CaltechAUTHORS:20190215-114821703

Dates

Created
2019-02-19
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Updated
2021-11-16
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ASME Paper
Other Numbering System Identifier
GT2010-22306