Flow Physics and Optimized Suppression of High-Speed Cavity Flow

Abstract

The proposed effort represents a coordinated experimental and computational study to enhance our fundamental understanding of cavity flows using novel tools and to develop optimized schemes to alter the cavity flow physics. This research will not only be focused on developing control strategies for reducing pressure fluctuations within the cavity but will also take into account features of the shear layer over the cavity opening, which is important in practical store applications. Numerical simulations will serve as the foundation to perform resolvent analysis and sensor-based flow control design to infer ways of altering the cavity flow with minimal actuation effort. Flow control experiments (physical and numerical) will be performed at freestream Mach numbers ranging from 0.6 to 1.4 with unsteady control strategies guided by the computational analysis. The experiments will incorporate novel experimental flow estimation and control techniques to extract the key features of the baseline and controlled flows and to maximize suppression of the cavity oscillations. The analysis of the numerical results will be used to drive some of the experimental applications of control to demonstrate the usefulness of the tools and their extension to higher Reynolds number applications.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 07, 2023
Source ID
FA95502210013

Entities

People

  • Lawrence S Ukeiley

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Florida

Tags

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms