Share Email Print
cover

Proceedings Paper

Application of correlation analysis in surface flow visualization with oil film
Author(s): V. E. Mosharov; A. A. Orlov; V. N. Radchenko
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

New approach to surface oil-flow visualization is suggested. This method can be called as Particle Image Surface Flow Visualization. The idea of new method is to register some small shift of oil film applied on investigated object surface and to restore the complete pattern of surface flow numerically. For this purpose some optically contrast hard particles are added to the oil film and two images of particle distribution at some time interval are acquired at the investigated test parameters. Pairs of images are processed with cross-correlation analysis similar to analysis used in Particle Image Velocimetry method to obtain the parameters of particles movement. Magnitude of particles shift is proportional to shear stress value that allows to determine separation zones, shock waves and boundary layer transition on investigated surface. Direction of particles shift is coincident with direction of surface streamline that allows to restore surface streamline pattern on investigated surface. Since only small shift of oil film is analyzed, multiple tests with different airflow parameters can be made using single model preparation. The results of method application for visualization of the flow from flat nozzle on the flat plate, for airfoil tests at low Reynolds numbers and for toy-car model tests at low Reynolds numbers are presented.

Paper Details

Date Published: 10 June 2006
PDF: 8 pages
Proc. SPIE 6262, Optical Methods of Flow Investigation, 62620B (10 June 2006); doi: 10.1117/12.683012
Show Author Affiliations
V. E. Mosharov, Central Aero-Hydrodynamics Institute TsAGI (Russia)
A. A. Orlov, Central Aero-Hydrodynamics Institute TsAGI (Russia)
V. N. Radchenko, Central Aero-Hydrodynamics Institute TsAGI (Russia)


Published in SPIE Proceedings Vol. 6262:
Optical Methods of Flow Investigation
Yuri N. Dubnistchev; Bronyus S. Rinkevichyus, Editor(s)

© SPIE. Terms of Use
Back to Top