Computational Analysis of Circulation Control Aeroacoustics
Abstract
Abstract Circulation control is a promising lift-argumentation method that can enhance the ma- neuverability of underwater vehicles at low speeds. However, its acoustic effect is a signifi- cant concern and not well understood. Existing theoretical models rely heavily on ad hoc assumptions and empirical parameters to produce noise predictions. Recent experiments at the University of Florida and University of Notre Dame have provided a wealth of flow and acoustic data and shed new light on circulation-control noise, but detailed knowledge of acoustic sources and source mechanisms is still lacking due to large experimental uncertain- ties and limited access to the source field. We propose to conduct a systematic numerical investigation of circulation-control aeroacoustics to significantly improve our understand- ing of this complex problem. The computational approach will be based on incompressible large-eddy simulation coupled with Lighthill’s aeroacoustic theory formulated and solved in a boundary-element framework. By employing accurate numerical techniques specifically designed for low-Mach-number aeroacoustics, we aim to obtain highly accurate solutions for both the flow and acoustic fields at Reynolds numbers comparable to those in recent and ongoing experiments. The numerical results will be used to analyze the acoustic source field, identify important source regions, and characterize acoustic radiation properties. A number of fundamental issues will be examined, including wall-jet interaction with a tur- bulent boundary layer, shear-layer instability and vortex shedding under the influence of upstream turbulence, the effects of trailing-edge shape and separation position on trailing- edge noise, and the acoustic dependence on flow Mach number and Reynolds number. In addition to generating fundamental understanding, we will use this challenging problem to advance accurate and efficient noise prediction techniques for hydroacoustic applications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512510
Entities
People
- Meng Wang
Organizations
- Office of Naval Research
- United States Navy
- University of Notre Dame