Acquisition of a Volumetric Velocimetry System

Abstract

The need to reduce time and cost associated with certification has, since the mid-90s led to Certification by Analysis. With respect to aerodynamics, CFD validation has been the primary tool for Certification by Analysis. While useful, CFD has only provided value where the flow is unseparated, for example at cruise conditions, which is only a small confined region within an aircraftÕs flight envelope, since at present CFD does not have the ability to accurately and reliably predict separation of turbulent flows. To solve this problem, turbulent boundary layer flow physics needs to be well understood, as well as how separation occurs, and how the separated region feedback on the upstream turbulent boundary layer further affects the separation process. Therefore, to understand these flows better, it is important to be able to acquire global data simultaneously, and through time, in order to capture the unsteady behavior of such flows. In this regard, Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV) techniques that allow for the global instantaneous measurements of velocity fields within 2D and 3D domains through time, are well-suited for this task, and are therefore highly attractive for use in fluid flow studies, since they allow for studies of unsteady flow phenomena, such as understanding problems in flow separation, flow control, transonic flow, etc. Towards this end, we propose two goals: first, innovate on Particle Tracking Velocimetry (PTV), which provide 2D/3D velocity fields through time, to develop the next generation 2D/3D-PTV algorithms. These next generation algorithms will provide accurate high-resolution measurements of velocity, vorticity, & strain rate from 2D and 3D experimental data that will be necessary to properly reveal and understand flow physics that can then be used to create physics-based CFD models that can accurately and reliably predict separation of turbulent flows. Second, use the proposed volumetric velocimetry system to acquire 3D data from separated turbulent flow, process results with the next-generation algorithms, and compare these results to those obtained from the algorithms provided by the volumetric velocimetry systemÕs software and other existing 3D algorithms, in order to establish superiority of our approach.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 22, 2019
Source ID
W911NF1810468

Entities

People

  • Dana Dabiri

Organizations

  • Army Contracting Command
  • United States Army
  • University of Washington

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.