AERO – AIRCRAFT DESIGN AND SYSTEMS GROUP
PARAMETER OPTIMIZATION FOR AN
INTERACTIVE AIRCRAFT DESIGN
Mihaela
Ni
ță
Hamburg University of Applied Sciences
Dieter Scholz
Hamburg University of Applied Sciences
10
thEuropean Workshop on Aircraft Design Education 2011
Naples, Italy, 24-27.05.2011
EWADE 2011
Hochschule für Angewandte Wissenschaften Hamburg
Background
PreSTo – Preliminary Sizing Tool
was developed
at Hamburg University of Applied Sciences
http://PreSTo.ProfScholz.de
PreSTo is divided into several modules:
preliminary sizing, cabin and fuselage, wing, high lift,
empennage, landing gear, mass and CG, drag and
DOC calculation.
Right figure: one possibility of sequencing and
iterating these design steps
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 3
The Problem
Design
requirements
are given: landing distance, take-off distance, cruise Mach
number, ...
Other design
parameters
are required: aspect ratio, maximum lift coefficients, ...
The
best combination of design parameters
leading to a good design needs to be found.
The Solution
To
formally optimize
the
aircraft design
parameters and present these optimized values to
the users as a starting point.
To combine formal optimization with a subsequent
interactive and experienced driven
aircraft design.
The Starting Point
Two-dimensional optimization problem
:
thrust-to-weight ratio (for jets) versus wing
loading…
…
for five requirements
: landing distance,
take-off distance, second segment and missed
approach climb gradients and cruise Mach
number.
Application of a Formal Optimization Program
Optimus
®was connected to the Excel preliminary sizing sheet from PreSTo. This made it
possible
to optimize any design output parameter for any combination of design input
parameters
.
Optimus
®by Noesis Solutions (Belgium) is a Process Integration and Design Optimization
software. It bundles design exploration and numerical optimization methods.
The original Excel preliminary sizing sheet was
extended.
Thrust-to-weight ratio Wing Loading W MTO S m g m T MTO TO ⋅ Permissible region Landing Take-off Cruise Missed Approach Second Segment
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 5
Extensions of PreSTo
Incorporation of both benefits (L/D, SFC, …) and penalties (structural mass, drag, …). For
example:
Optimus
W
redesign
W
y
preliminar
OE
OE
m
m
m
m
=
,
−
,
+
,
From thrust-to-weight
ratio, based on Loftin
Based on the parameters of the
redesigned baseline aircraft
From Torenbeek
Based on the parameters
found by Optimus
®Extensions of PreSTo
Automation of the cruise line in the matching chart by adjusting the value of
V/V
m.
In this way we are sure that the
most demanding
requirements are met
in the same time
.
Implementation and testing of
different SFC calculation models
.
Thrust-to-weight ratio Wing Loading W MTO S m g m T MTO TO ⋅ Permissible region Landing Take-off Cruise Missed Approach Second Segment
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 7
SFC Calcullation Models
Mattingly 1996
where M is the Mach number at the engine inlet
Svoboda 2000
BPR
refT
T
M
TSCF
=
(
0
.
4
+
0
.
45
)
θ
,
θ
=
/
where
α
is
SFC Calcullation Models
Isikveren 2002
calibrated for BPR = 5.2 with k
1= 1.586 lb/lb.hr; k
2= -0.303; k
3= 8.40 X 10
-4per FL;
k
4= -0.760; k
5= 5.45 X 10
-4lb/lb.hr.FL; k
6
= -0.307 lb/lb.hr; k
7= -9.54 X 10
-5lb/lb.hr .FL;
k
8= 0.694 lb/lb.hr
Sforza 2004
Howe 2000
where
c
1=
0.85
N/Nh
for low
λ
(BPR)
and
c
1= 0.7
N/Nh
for high
λ
(BPR)
)
/
/
(
10
7
.
0
T
5lbm
h
lbf
TSCF
=
−
CR
⋅
=
2
10
sin
3
.
14
TO5π
CRT
T
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 9
SFC Calcullation Models
Herrmann 2010
necessary parametrs: BPR, OAPR, TET, ΔP/P and engine component efficiencies:
η
ventilator, η
compressor, η
turbine, η
nozzle, η
inlet, where
)
1
(
)
2
.
0
(
)
1
(
5
)
(
697
.
0
2 0BPR
M
BPR
M
G
BPR
t
t
turbine ventilator compressor turbine ventilator nozzle compressorSFC
+
⋅
−
⋅
⋅
⋅
⋅
+
⋅
⋅
⋅
+
⋅
⋅
−
−
⋅
⋅
=
η
η
η
η
η
η
η
χ
ϑ
φ
2 2 1 2 12
.
0
1
)
1
(
7
.
0
1
;
1
;
2
1
1
/
;
)
1
(
)
(
01
.
1
1
)
(
M
M
OAPR
M
t
T
G
inlet gasgen turbine compressor gasgen compressor+
−
−
=
−
⋅
=
⋅
−
+
=
=
⋅
⋅
−
⋅
+
⋅
−
⋅
−
=
− −η
η
ϑ
χ
κ
φ
η
η
φ
χ
ϑ
χ
η
η
χ
φ
κ κ κ κSFC Calcullation Models
Herrmann 2010
Known parameters:
Thrust, M, H, BPR,
Δ
P/P
Calculated parameters:
TET, OAPR,
η
ventilator,
η
compressor, η
turbine, η
nozzleχ
,
υ
,
ϕ
, G,
η
inlet,
η
gasgenCalculation model
SFC
Input parameters:
BPR, TET, OAPR,
Δ
P/P
η
ventilator, η
compressor, η
turbine, η
nozzleH, M
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 11
Selected Results
Tests were performed starting from the parameters of an
Airbus A320
redesigned as
closely as possible to the real aircraft.
Parameter
Symbol
Original
A320
Redesigned
A320
Deviation
Matching chart
Max. lift coefficient, landing
C
L,max,L-
2.9
-Max. lift coefficient, take-off
C
L,max,TO-
2.07
-Mass ratio, landing-take-off
m
ML/m
MTO0.878
0.878
-Aspect ratio
A
9.5
9.5
-Max lift-to-drag ratio
L/D
max17.88
18.59
-By-Pass ratio
BPR
6
6
-Speed-to-speed minimum drag
V/V
m-
0.94
-Relative operating empty mass
m
OE/m
MTO0.550
0.551
-Mission fuel fraction
M
ff-
0.171
-Max. take-off mass
m
MTO73500 kg
71960 kg
-2.10 %
Max. landing mass
m
L64500 kg
63180 kg
-2.05 %
Operating empty mass
m
OE40430 kg
39654 kg
-1.92 %
Fuel mass
m
F12500 kg
12305 kg
-1.56 %
Wing area
S
W122.4 m
2119.8 m
2-2.15 %
Wing mass
m
W-
7037.4 kg
-Take-off thrust of one engine
T
TO11000 N
108965 N
-1.83 %
Fuel volume needed
V
F-
16.8 m
3-Approach
Baseline aircraft redesigned
with PreSTo: A320
Single parameter variation:
C
LmaxL, C
LmaxTO, m
ML/m
MTO, BPR
,
nE, A
Coupled parameters variation
Additional parameters: the
fixed requirements set free:
M
, S
LFL, S
TOFLParameters
Objectives
Minimum m
MTOMinimum m
FMinimum DOC
Minimum m
F/ V,
m
MTO/ V
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 13
Influence of
C
LmaxLand
C
LmaxTO
C
LmaxLvaried in the interval [1.9, 3.5]
C
LmaxTO= 80 % ∙
C
LmaxL
The rest of the parameters were kept as for the A 320
coupled
0.27
0.275
0.28
0.285
0.29
0.295
0.3
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
T/W
C
LmaxLThrust-to-weight ratio, T/W as
a function of maximum lift
coefficient for landing
configuration, C
LmaxLInfluence of
C
LmaxLand
C
LmaxTOm
MTO[kg]
C
LmaxLMaximum take-off mass, m
MTOas a function of maximum lift
coefficient for landing
configuration, C
LmaxL63000
64000
65000
66000
67000
68000
69000
70000
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 15
Influence of
C
LmaxLand
C
LmaxTOm
W[kg]
C
LmaxLWing mass, m
Was a function
of maximum lift coefficient
for landing configuration,
C
LmaxL5600
6100
6600
7100
7600
8100
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
Influence of
C
LmaxLand
C
LmaxTOS
WC
LmaxLWing areq, S
Was a function
of maximum lift coefficient
for landing configuration,
C
LmaxL90
100
110
120
130
140
150
160
170
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 17
Influence of
C
LmaxLand
C
LmaxTOL/D
C
LmaxLLift-to-drag ratio, L/D
as a
function of maximum lift
coefficient for landing
configuration, C
LmaxL16
16.5
17
17.5
18
18.5
19
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
Influence of
C
LmaxLand
C
LmaxTOV/V
mC
LmaxLWing mass, m
Was a function
of maximum lift coefficient
for landing configuration,
C
LmaxL0.8
0.9
1
1.1
1.2
1.3
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 19
Influence of
C
LmaxLand
C
LmaxTOSFC
C
LmaxLSpecific Fuel Consumption,
SFC
as a function of maximum
lift coefficient for landing
configuration, C
LmaxL1.58E-05
1.59E-05
1.59E-05
1.60E-05
1.60E-05
1.61E-05
1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5
13.4 % mass improvement
with a
C
LmaxL= 2.82
Influence of
m
ML/m
MTOm
MTO/S
Wm
ML/m
MTOWing loading, m
MTO/S
Was a
function of maximum landing
mass ratio, m
ML/m
MTO560
610
660
710
760
0.68
0.73
0.78
0.83
0.88
0.93
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 21
Influence of
m
ML/m
MTOm
MTOm
ML/m
MTOMaximum take-off mass, m
MTOas a function of maximum
landing mass ratio, m
ML/m
MTO60000
70000
80000
90000
100000
110000
120000
0.68 0.7 0.72 0.74 0.76 0.78 0.8 0.82 0.84 0.86 0.88 0.9 0.92
Influence of both
m
ML/m
MTOand
C
LmaxL,
C
LmaxTOm
ML/m
MTOVariation of m
ML/m
MTOand
C
LmaxL. Results shown are
m
MTO(bubble diameter)
and T/W (color).
C
LmaxL1
0.9
0.8
0.7
1.9 2.1 2.3 2.5 2.7 2.9 3.1 3.3 3.5
T/W
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 23
Influence of both
m
ML/m
MTOand
C
LmaxL,
C
LmaxTOm
ML/m
MTOVariation of m
ML/m
MTOand
C
LmaxL. Results shown are
m
MTO(bubble diameter)
and S
W(color).
C
LmaxL1.9 2.1 2.3 2.5 2.7 2.9 3.1 3.3 3.5
1
0.9
0.8
0.7
S
WInfluence of both
m
ML/m
MTOand
C
LmaxL,
C
LmaxTOfor
C
LmaxL= 2.61 and
m
ML/
m
MTO= 0.95
0.000 0.100 0.200 0.300 0.400 0.500 0.600 0.700 0 100 200 300 400 500 600 700 800 Th rus t-to -w e igh t ra ti o [-] Wing loading in kg/m² Matching Chart 2nd Segment Missed appr. Take-off Cruise Landing17.9 % mass improvement
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 25
Influence of
BPR,
on the redesigned aircraft (i.e. with
C
LmaxTO= 2.07
)
m
MTOMaximum take-off mass,
m
MTOas a function of BPR
BPR
1.8 % mass improvement
for
BPR
= 13.8
67000
68000
69000
70000
71000
72000
73000
2
4
6
8
10
12
14
Influence of
BPR,
with
C
LmaxTO= 80 % C
LmaxLof the redesigned aircraft, i.e.
C
LmaxTO= 2.32
m
MTOMaximum take-off mass,
m
MTOas a function of BPR
BPR
14.1 % mass improvement
for
BPR
= 11.3
63000
63200
63400
63600
63800
64000
64200
64400
4
5
6
7
8
9
10
11
12
13
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 27
Influence of
BPR
with
C
LmaxTO= 2.07 , model Herrmann
m
MTOMaximum take-off mass,
m
MTOas a function of BPR
BPR
11.5 % mass improvement
for
BPR
= 11.2
65000
65500
66000
66500
67000
67500
68000
4
6
8
10
12
14
Influence of
BPR ,
with
C
LmaxTO= 2.07 , model Herrmann
V
CRCruise speed, V
CRas a
function of BPR
BPR
224
226
228
230
232
234
236
238
4
6
8
10
12
14
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 29
Influence of
BPR ,
with
C
LmaxTO= 2.32 model Herrmann
m
MTOMaximum take-off mass,
m
MTOas a function of BPR
BPR
19.7 % mass improvement
for
BPR
= 9.5
59000
59200
59400
59600
59800
60000
60200
60400
4
5
6
7
8
9
10
11
12
13
Influence of both
BPR
and
C
LmaxL,
C
LmaxTO, model Herrmann
BPR
C
LmaxLVariation of BPR and
C
LmaxL. Results shown are
m
MTO(bubble diameter)
and m
F(color).
20.0 % mass improvement
for
BPR
= 10.6 and
C
LmaxL=
3.13
14
11
8
4
1.9 2.1 2.3 2.5 2.7 2.9 3.1 3.3 3.5
m
FEWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 31
Influence of both
BPR
and
M,
with
C
LmaxTO= 2.32,
model Herrmann
M
BPR
Variation of BPR and M.
Results shown are m
MTO(bubble diameter) and m
F(color).
15.7 % mass improvement
for
BPR
= 7.6 and
M
= 0.86
0.9
0.8
0.7
0.6
0.5
0.4
4 5 6 7 8 9 10 11 12 13 14 15
m
FInfluence of
BPR
,
M, C
LmaxLand
m
ML/m
MTOmodel Herrmann
Objective: min m
MTO/ V
17.4 % mass improvement
for
BPR
= 10.7,
M
= 0.76,
C
LmaxL=2.53, m
ML/m
MTO=
EWADE
Dipl.-Ing. Mihaela Nita 26.05.2011, Page 33