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The significance of coherent flow structures for the turbulent mixing ...

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4.7 Monochromatic aberrations<br />

reflected ghost-images superimposed on <strong>the</strong> desired image result in a reduced signal-to-noise<br />

ratio accompanied by a lower correlation coefficient. To solve this problem, <strong>the</strong> time separation<br />

method can be applied as long as <strong>the</strong> separation between <strong>the</strong> first orthogonal polarised<br />

light pulse pair is negligible, e.g. <strong>the</strong> position <strong>of</strong> <strong>the</strong> particle image remains constant in terms <strong>of</strong><br />

digital registration. In this case, which holds <strong>for</strong> a wide range <strong>of</strong> <strong>flow</strong> velocities, a difference<br />

between instantaneous and time separated measurements cannot be observed. Technologically,<br />

this can be done by transferring <strong>the</strong> first image right behind <strong>the</strong> first illumination.<br />

4.7 Monochromatic aberrations<br />

Be<strong>for</strong>e <strong>the</strong> light scattered by <strong>the</strong> particles can be recorded it interacts partially with optical<br />

elements like glass-window, mirror, beam-splitter and various lenses in order to alter <strong>the</strong> orientation<br />

<strong>of</strong> <strong>the</strong> field, to separate <strong>the</strong> incoming light according to <strong>the</strong> state <strong>of</strong> polarisation and<br />

to generate an image <strong>of</strong> <strong>the</strong> tracer particles. Beside a possible loss <strong>of</strong> light due to absorption<br />

or reflection, <strong>the</strong>se components introduce aberrations <strong>of</strong> different type, direction and magnitude<br />

which may limit <strong>the</strong> measurement accuracy [8]. Although it is impossible to eliminate<br />

all aberrations completely in any real system <strong>of</strong> finite aperture, a basic understanding <strong>of</strong> <strong>the</strong>ir<br />

origin and dependence from optical parameters is <strong>the</strong> key to reduce <strong>the</strong>se undesirable effects<br />

under <strong>the</strong> resolution <strong>of</strong> <strong>the</strong> recording medium or to eliminate certain aberrations completely<br />

by accepting aberrations <strong>of</strong> o<strong>the</strong>r types which are <strong>of</strong> no harm in PIV. <strong>The</strong> last point is <strong>of</strong> primary<br />

importance because higher order aberrations like distortion 1 and curvature <strong>of</strong> <strong>the</strong> field<br />

just influence <strong>the</strong> position and <strong>for</strong>m <strong>of</strong> <strong>the</strong> image but do not lower <strong>the</strong> resolution. <strong>The</strong>y can be<br />

completely eliminated by calculations according to section 2.4 and do not need to be considered<br />

here. Primary aberrations on <strong>the</strong> o<strong>the</strong>r hand like spherical aberration, coma and especially<br />

astigmatism deteriorate <strong>the</strong> image and alter <strong>the</strong> shape in a characteristic way. This leads to an<br />

increased measurement error as <strong>the</strong> per<strong>for</strong>mance <strong>of</strong> <strong>the</strong> peak-fit <strong>for</strong> sub-pixel accuracy strongly<br />

decreases <strong>for</strong> particle image diameter not equal 2-3 pixel. Be<strong>for</strong>e <strong>the</strong> optical aberrations can be<br />

reduced or eliminated, <strong>the</strong>y have to be identified first. Using <strong>the</strong> PIV equipment this is easily<br />

possible as higher order aberrations become clearly visible by analysing <strong>the</strong> image <strong>of</strong> a regular<br />

grid, according to section 3.2, whereas <strong>the</strong> main primary aberrations can be easily observed<br />

by examination <strong>the</strong> image-symmetry <strong>of</strong> small particles within a thin light-sheet. For<br />

¤¡<br />

three<br />

different field-coordinates figure 4.9 shows <strong>the</strong> images <strong>of</strong> olive-oil Ÿ è<br />

droplets, with m,<br />

through a tilted BK7 glass-plate <strong>of</strong> constant thickness (10 mm). <strong>The</strong> most striking feature is<br />

<strong>the</strong> variation <strong>of</strong> <strong>the</strong> magnitude and direction <strong>of</strong> <strong>the</strong> dominant aberration by probing continually<br />

through focus and across <strong>the</strong> field <strong>of</strong> view.<br />

When <strong>the</strong> optical system is perfectly aligned and <strong>the</strong> aberrations are below digital registration,<br />

<strong>the</strong> diffraction limited image <strong>of</strong> a particle appears as a bright circular core surrounded<br />

by several rings <strong>of</strong> rapidly diminishing brightness. This is shown in <strong>the</strong> central column <strong>of</strong><br />

figure 4.9 but <strong>the</strong> small variations <strong>of</strong> <strong>the</strong> intensity distribution are smeared out by <strong>the</strong> low resolution<br />

<strong>of</strong> <strong>the</strong> used CCD sensor. As <strong>the</strong> object moves fur<strong>the</strong>r <strong>of</strong>f-axis, <strong>the</strong> diffraction limited<br />

particle image pattern alters from a bright central area surrounded by dark and bright rings to<br />

a dark central area surrounded by bright and dark rings as shown in <strong>the</strong> lower image. On <strong>the</strong><br />

o<strong>the</strong>r hand, particles, located an appreciable distance apart from <strong>the</strong> optical axis de<strong>for</strong>m into a<br />

line <strong>of</strong> certain orientation due to <strong>the</strong> tilted glass-window, see outer image pair <strong>of</strong> top row. By<br />

1 Distortion occurs when <strong>of</strong>f-axis points are not <strong>for</strong>med at <strong>the</strong> location predicted by <strong>the</strong> paraxial equations.<br />

61

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