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In this lecture...
• Performance parameters: cascade
analysis
• 2-D losses in axial compressor stage –
primary losses
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Performance parameters
• Blade performance/loading can be
assessed using static pressure coefficient:
• The C
P
distribution (usually plotted as C
P
vs. x/C ) gives an idea about the
chordwise load distribution.
at the cascade inlet)
P is thereference staticpressure(usually measured
Where,P is the blade surface staticpressure and
V
P P
C
ref
local
local ref P (^2) 2 1
1 ρ
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Performance parameters
Deflection, degrees
Total pressure loss coefficient
Position along cascade
Location of the blade trailing edge
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Performance parameters
Incidence angle, degrees
Total pressure loss coefficient
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Losses in a compressor blade
• Nature of losses in an axial compressor
- Viscous losses
- 3-D effects like tip leakage flows, secondary
flows etc.
- Shock losses
- Mixing losses
• Estimating the losses crucial designing loss
control mechanisms.
• However isolating these losses not easy and
often done through empirical correlations.
• Total losses in a compressor is the sum of
the above losses.
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Losses in a compressor blade
- The loss manifests itself in the form of stagnation
pressure loss (or entropy increase).
= =
=
= +
= − = − −
01
2 1
2 2 1
1
01 2 2 1
1
01
2
01 01
01 01
02
2
2
1
1
P
V
R
s or,
V
P
R
s
V
( P ) Since,
P
( P )
R
s Neglectinghigher order terms,
... P
( P )
P
( P )
R
s
Expandingtheaboveequationinaninfinite series,
P
( P ) ln P
P ln R
s
o loss
o loss
o loss o loss
o loss
Δ ωρ
ρ
Δ
ρ
Δ ω
Δ Δ
Δ Δ Δ
Δ Δ
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Losses in a compressor blade
- The overall losses in a turbomachinery can be
summarised as:
:Endwall losses
:tip leakage loss
:secondary flow loss
:shock losses
Where, :profile losses
E
L
s
sh
P
P sh s L E
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2-D Losses in a compressor blade
• 2-D losses can be classified as:
- Profile loss due to boundary layer, including
laminar and/or turbulent separation.
- Wake mixing losses
- Shock losses
- Trailing edge loss due to the blade.
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2-D Losses in a compressor blade
• The profile loss depends upon:
- Flow parameters like Reynolds number,
Mach number, longitudinal curvature of the
blade, inlet turbulence, free-stream
unsteadiness and the resulting unsteady
boundary layers, pressure gradient, and
shock strength
- Blade parameters like: thickness, camber,
solidity, sweep, skewness of the blade,
stagger angle and blade roughness.
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2-D Losses in a compressor blade
• At far downstream, the flow becomes
uniform.
• Theoretically, the difference between the
stagnation pressure far downstream and the
trailing edge represents the mixing loss.
• Most loss correlations are based on
measurements downstream of the trailing
edge (1/2 to 1 chord length) and therefore
do not include all the mixing losses.
• If there is flow separation, the losses would
include losses due to this zone and at its
eventual mixing downstream.
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2-D Losses in a compressor blade
boundary layer at the trailing edge.
displacement andmomentum thickness of the blade
the static pressure difference and velocities to the
To determine the above,it is necessary to relate
V
(P P )
streamline canbe written as:
The profile andmixinglosses along a
t p m 2 1
(^2002)
ρ
ω
−
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2-D Losses in a compressor blade
• Thus, in a simplified manner, we see that
the profile loss can be estimated based on
the momentum thickness.
• The above loss correlation includes both
profile and wake mixing loss.
• If flow separation occurs, additional losses
are incurred. This is because the pressure
distribution is drastically altered beyond
the separation point.
• The losses increase due to increase in
boundary layer displacement and
momentum thicknesses.
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2-D Losses in a compressor blade
- In addition to the losses discussed above,
boundary layer growth and subsequent decay of
the wake causes deviation in the outlet angle.
- An estimate of this is given as:
- Hence, viscous effect in a turbomachine always
leads to decrease in the turning angle.
- The values of displacement and momentum
thicknesses, depend upon, variation of freestream
velocity, Mach number, skin friction, pressure
gradient, turbulence intensity and Reynolds
number.
t
tan α ≈ ( 1 − Θ − Δ)tanα
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