Increasing Accuracy in Super-Resolution PIV

Abstract

In the development of new measurement techniques, increasing the resolution has always been one of the main goals. For the moment, cross-correlation algorithms such as PIV, are limited by the size of the interrogation areas. Algorithms of hybrid PIV-PTV processing, so called Super Resolution methods, are about to be mature and have shown an increase in the spatial response. The present work is addressing the accuracy issue of such methods. An approach that correlates individual particle images is developed and it is referred as the IPC method. It aims at improving the efficiency compared to the classical approach using estimators of the successive particle locations. Examples of application in vortical flows are presented aiming at discussing the ability to characterize coherent structures. Ideal cases of vortices are simulated with synthetic images. This work presents also measurements of the flow field behind a backward facing step at low Re (Reh=5000) performed in a low speed wind tunnel (U0=3.75 m/s, h=2cm, expansion ratio=1.2). Vortical structures are extracted and results obtained from the two approaches (correlation PIV, hybrid PIV-PTV) are compared.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2005
Accession Number
ADA471496

Entities

People

  • A. Stitou
  • M. L. Riethmuller
  • R. Theunissen

Organizations

  • von Kármán Institute for Fluid Dynamics

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Aerospace Industry
  • Aircrafts
  • Algorithms
  • Boundary Layer
  • Computational Fluid Dynamics
  • Correlation Techniques
  • Cross Correlation
  • Estimators
  • Flow Fields
  • Fluid Dynamics
  • Information Science
  • Pattern Recognition
  • Statistical Algorithms
  • Stratified Fluids
  • Turbulent Flow
  • Wind Tunnels

Fields of Study

  • Engineering

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design