TY - BOOK
T1 - PIV implementation in flow control : design and real-time considerations : traineeship report
AU - Pérez Muñoz, J.C.
AU - Steinbuch, M.
AU - Baar, de, M.R.
PY - 2011
Y1 - 2011
N2 - The purpose of this report is to give an assessment of the available techniques to
estimate the velocity vector field in a fluid using images of the fluid and, possibly,
tracers in the fluid. The selected technique in this report is the particle image
velocimetry (PIV) because has been shown as a suitable technique to obtain good
estimates of the velocity field of a flow in different scenarios. As a more specific
objective, it is desired to develop a systematic procedure to design a PIV sensor
and guarantee the achievement of the control goals. The images to be used will
resemble the pair 1.1 and 1.2, or the pair 5.2 and 5.3. The first pair of images were
captured in a real setup with a long exposure time allowing the tracers motion to be
registered in the image. The second pair correspond to synthetic images generated
using simulations of a flow.
There are many techniques for motion estimation using image processing such
the ones presented in [1, 3, 5, 17, 25, 29, 37] among others, most of these techniques
are designed or adjusted for a specific motion estimation problem and will
be briefly commented in chapter 2. The Particle Image Velocimetry (PIV) technique
will be studied in more detail in chapter 3 as the technique chosen to address our
motion problem because it is one of the most used techniques for fluid motion
estimation. Some authors have been interested on implement the PIV technique
in real-time such as [4, 7, 15, 23, 32, 33, 34, 40], the results and proposals made in
these works will be discussed in chapter 3.1, meanwhile chapter 6 will present the
considerations that must be done in order to obtain a suitable PIV sensor.
AB - The purpose of this report is to give an assessment of the available techniques to
estimate the velocity vector field in a fluid using images of the fluid and, possibly,
tracers in the fluid. The selected technique in this report is the particle image
velocimetry (PIV) because has been shown as a suitable technique to obtain good
estimates of the velocity field of a flow in different scenarios. As a more specific
objective, it is desired to develop a systematic procedure to design a PIV sensor
and guarantee the achievement of the control goals. The images to be used will
resemble the pair 1.1 and 1.2, or the pair 5.2 and 5.3. The first pair of images were
captured in a real setup with a long exposure time allowing the tracers motion to be
registered in the image. The second pair correspond to synthetic images generated
using simulations of a flow.
There are many techniques for motion estimation using image processing such
the ones presented in [1, 3, 5, 17, 25, 29, 37] among others, most of these techniques
are designed or adjusted for a specific motion estimation problem and will
be briefly commented in chapter 2. The Particle Image Velocimetry (PIV) technique
will be studied in more detail in chapter 3 as the technique chosen to address our
motion problem because it is one of the most used techniques for fluid motion
estimation. Some authors have been interested on implement the PIV technique
in real-time such as [4, 7, 15, 23, 32, 33, 34, 40], the results and proposals made in
these works will be discussed in chapter 3.1, meanwhile chapter 6 will present the
considerations that must be done in order to obtain a suitable PIV sensor.
M3 - Report
T3 - CST
BT - PIV implementation in flow control : design and real-time considerations : traineeship report
PB - Eindhoven University of Technology
CY - Eindhoven
ER -