Detection of velocity distribution of a flow field using sequences of Schlieren images

Shan Fu; Yajue Wu

doi:10.1117/1.1386792

1 August 2001 Detection of velocity distribution of a flow field using sequences of Schlieren images

Shan Fu, Yajue Wu

Optical Engineering, Vol. 40, Issue 8, (August 2001). https://doi.org/10.1117/1.1386792

We present an image analysis technique for obtaining the velocity distribution from image sequences taken with a Schlieren apparatus. With this technique, the image sequence is considered as a series of 2-D functions that are transforming gradually through the period when the image sequence is taken. The fluid movement between the two consecutive images is then obtained via functional analysis that gives the local function deformation at every image position. The velocity and acceleration of the flow field are derived. In contrast to the particle image velocimetry (PIV) techniques, the presented technique is advantageous in the situation where the tracing particles are difficult to introduce or identify. The Schlieren apparatus set up for the study is a modified positive-negative grid system. Buoyant flows produced from gas fires and gas explosion ejection are used as case studies.

©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Shan Fu and Yajue Wu "Detection of velocity distribution of a flow field using sequences of Schlieren images," Optical Engineering 40(8), (1 August 2001). https://doi.org/10.1117/1.1386792

Published: 1 August 2001

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available