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test cells intended for aero-engines. There<br />
is still work to do an improving the icing<br />
tests and one of the most important<br />
elements is the simulation of a defined<br />
cloud. Some icing clouds consist of a<br />
mixture of supercooled water droplets and<br />
particles of dry ice. These can be produced<br />
at Pyestock based an different techniques<br />
for the production of both components: ice<br />
particles are produced by milling chips of<br />
prepared ice blocks and introduced into the<br />
main flow upstream of the liquid water<br />
injection. There is a problem in measuring<br />
the uniformity of the droplet size<br />
distribution in a 2.6 m diameter cell.<br />
Therefore at RAE they calibrate individual<br />
nozzles in a controlled environment in a<br />
low speed wind tunnel especially adapted<br />
for this purpose. The two cells have large<br />
test chambers of 6 m and 7.6 m diameters,<br />
the latter can accomodate a helicopter<br />
without rotors. A majority of the aeroengine<br />
testing is done in connect mode, but<br />
it is more realistic to do it in free jet<br />
mode. The icing cloud is produced by a<br />
number of airblast water spray nozzles on<br />
rakes . A new rake for testing of large<br />
engines requires 310 nozzles for a 2.64 m<br />
duct. Five channels of closed circuit TV<br />
are available for remote viewing: one<br />
channel is a strobed view of rotating parts<br />
whilst highspeed cine up to 1200 frames per<br />
second records the ice shedding and<br />
particle trajectories. Measuring the water<br />
content and droplets’ diameter in the real<br />
test cells close to the engine is the<br />
preferred solution but it is very difficult<br />
to achieve in large scale engineering<br />
environment with delicate instruments. The<br />
alternative solution at Pyestock is an open<br />
circuit wind tunnel with a 0.31 m2 working<br />
section and 80 m/s wind speed. Spray<br />
nozzles characteristics (figure 24) show<br />
the nozzles’ operational limits. Another<br />
problem is the cooling down of the droplets<br />
in the airflow. The water is injected at<br />
20‘C to prevent freezing on the nozzle; are<br />
the droplets supercooled at the time they<br />
impact on the target? The state of the<br />
droplets determines the ice accretion<br />
forms. A 10 micron droplet comes to thermal<br />
equilibrium in a -5-C airflow in under a<br />
meter, but a 30 micron droplet might<br />
require 5 meters. Thus the distance between<br />
the spray rake and the target needs to<br />
exceed 5 meters.<br />
Hr Creismeas of C.E.Pr reported on a<br />
numerical code developed at C.E.Pr. and<br />
ONERA (30). As said in above paper the<br />
distance between spray rake and test item<br />
is in excess of 5 m and there can be a<br />
significant modification in the droplets’<br />
mean diameter. The test requires a given<br />
mean droplet diameter and it is useful to<br />
have a method to predict the evolution. The<br />
theory is based on the thermal exchanges<br />
between the liquid water and the gasflow,<br />
taking into account the hygrometry. This<br />
numerical code is named H.A.GI.C<br />
(Modelisation et Analyse du GIvrage en<br />
Caisson). The equations are based on the<br />
continuity, momentum and heat equation. The<br />
drag force of the droplet in airflow is<br />
based on the value of Cx which is taken as:<br />
(24/Re). (1+0.15<br />
3-5<br />
Theoretical results were compared with<br />
experimental results. The starting section<br />
is 0.25 m where mass distribution in<br />
diameter intervals are given in table 2 for<br />
4 Cases. The diameters in a section 1.95 m<br />
from the injector were measured and<br />
calculated and figure 25 gives an example<br />
of the comparison.<br />
5. Ice relevant cloud physical varameters.<br />
Since 1983 the icing of aircraft is<br />
investigated in the DLR - Institute for<br />
Atmospheric Physics using an icing research<br />
aircraft (33). The aim is to get<br />
information about the dependance of the<br />
icing relevant cloudphysical parameters on<br />
cloud type and the height above cloud base.<br />
The total water content (fluid and solid<br />
particles), the median volume diameter and<br />
the temperature T were collected during<br />
vertical and horizontal flight through<br />
clouds. A result is shown in figure 26. The<br />
TWC of clouds of a high pressure area<br />
increases about linearly with height above<br />
cloud base. Its maximum is located just<br />
below the cloud top and has values between<br />
0.40 and 0.50 g/m3. Temperature is<br />
decreasing with height and the median<br />
volume diameters (MVD) are rather small and<br />
are situated between 11 and 23 pm. The<br />
phase of the particles is always fluid. The<br />
MVD of clouds in the range of a Warm front<br />
fluctuates strongly between small and large<br />
values and maximum values are between 100<br />
and 460 pm. The phase of the particles in<br />
clouds in the range of a warm front would<br />
vary between fluid and solid.<br />
6. Low temperature and fuel vroblems.<br />
The low temperature operations could<br />
impact aircraft missions as the fuel can<br />
form solid wax precipitates which may cause<br />
plugging of filters or blockage of fuel<br />
transfer lines. The Naval Air propulsion<br />
center of Trenton was concerned with the<br />
problem of availability of the F-44 (JP5)<br />
fuel. This fuel with very low freezing<br />
point accounts for only a small fraction,<br />
less than 1% of total refinery production.<br />
The relaxation of the freezing point<br />
specification to that of the commercial<br />
Jet-A specification would lead to a higher<br />
fraction of the crude (25).<br />
This study requires the determination<br />
of the fuel temperature in the fuel tanks<br />
which is very expensive if it has to be<br />
done experimentally. NAPC looked for a CFD-<br />
code that could be modified to handle the<br />
calculations. They chose the PHOENICS 84 as<br />
the base code performing fluid-flow, heat<br />
transfer and chemical reaction calculations<br />
simultaneously. The major developments are:<br />
optimum grid selection, turbulence<br />
modelling, phase change modelling and<br />
expert system. The user-friendly menu<br />
driven format allows the user to operate in<br />
a menu driven step-wise format, depicted in<br />
figure 27, where he has to input the<br />
dimensions of the tank and the amount of<br />
fuel desired. The boundary conditions are<br />
either the experimental skin temperature of<br />
the tank, or the calculated skin<br />
temperature based on air temperature and<br />
air speed. Figure 28 compares test and<br />
calculated data. The model predicts<br />
accurately, in both two and three