p force inst of tech wrioht-patteoson.afb oh schoo--etc f/9 20/4* trapezoidal vector ... · 2014....
TRANSCRIPT
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P AD-A094 775 AIR FORCE INST OF TECH WRIOHT-PATTEOSON.AFB OH SCHOO--ETC F/9 20/4*
-AD 77 AHiGHER-ORDER TRAPEZOIDAL VECTOR VORTEX PANEL FOR SUS NC PLO--ETC (U)
UNCLASSIFIED AFIT/GAEtAA/80ODIAMI
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UNITED STATES AIR FORCEAIR UNIVERSITY
AIR FORCE INSTITUTE OF TECHNOLOGYWrig ht-Patterson Air Force SaseOhi.
Approw~d f',r Pubic F40=0,
81 2 09 088
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23 JAN iAPPROVED FOR PUEJLr !IMLE-SE AFR 190-17.
LAUJREL A. LAMPELA, 2Lt, IISAFDeputy Director, Public Affairs
Air Force s: c i T.!::r3jgy (ATC)Wrig~itP ~A !~ ?3, CHi 4 A43
NTIS c1rA&IDTIC T.13
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4 IIGIE- RDR RAPEZOIDAL VEjCTOR FVORTEX PANEL FOR SUBSONIC FLOW"
Thesis
,1AFIT/GAE/AA/8,GD-14 Ronald lU/LutherCapt USAF
Approved for public release; distribution unlimited.
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AFIT/GAE/AA/80D-14
I
A HIGHER-ORDER TRAPEZOIDAL VECTOR
VORTEX PANEL FOR SUBSONIC FLOW
THESIS
Presented to the Faculty of the School of Engineering
of the Air Force Institute of Technology
Air University
In Partial Fulfillment of the
Requirements for the Degree of
Master of Science
by
Ronald E. Luther, B.S.
Capt USAF
Graduate Aeronautical Engineering
December 1980
Approved for public release; distribution unlimited
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Preface
I wish to thank my advisor, Major Stephen Koob, for
his constant aid and guidance and also tolerance to my
efforts. To my family, Freda and Amanda, I can only hope
that in the future some reward for their tremendous sacrifice
will be granted.
ii
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Contents
Preface..................... . .. ... . .. .. .. .... i
List of Figures ...................... v
List of Symbols. .................... vi
Abstract ....................... viii
I. Introduction.....................
Background....................1Approach.....................3
Ii. Basic Problem Development ... ............ 6
Vorticity Distribution Function. .......... 6Basic Panel Geometry. .............. 7Interpolation Functions .. ............ 7Network Assembly ................. 10Inter-Panel Continuity. ............ 12Intra-Panel Continuity. ............ 12
III. Solution Process .................. 14
Planform Edge Boundary Conditions .. ....... 14Leading, Tip and Trailing Edges .. ........ 15Root Edge. ................... 17Kinematic Flow Condition. ........... 19Intra-Panel Continuity Condition. ........ 22Matrix Formulation ................ 24Compressibility Correction. .......... 27
IV. Aerodynamic Data .................. 28
V. Computer Code. .................. 30
VI. Results and Discussion ............... 31
VII. Conclusions and Recommendations .. ........ 38
Bibliography ...................... 40
APPENDIX A: Interpolating Function Equations .. ..... 41
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Page
APPENDIX B: Evaluation of Integrals. ......... 43
APPENDIX C: Computer Code ................ 46
Vita..........................83
iv
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List of Figures
Figure Page
I Basic Panel Geometry ....... .............. 8
2 Panel Subregions With Assigned Nodal Values 9
3 Typical Panel Network With Nodal Unknowns . 11
4A Lift Distribution ..... ............... .. 16
4B Vortex Pattern - Straight Wing ........... ... 16
4C Vortex Pattern - Swept Wing ... .......... . 16
SA Leading Edge Root Chord Panel of Swept Wing 18
5B Boundary Conditions Applied to Leading EdgeRoot Chord Panel of Swept Wing .. ........ .. 18
Nine Panel Network With Planform BoundaryConditions Applied ..... .............. 20
7 Control Point Reflection .... ............ . 26
8A Lift Distribution Versus Span Station forVarious Control Point Locations .......... .. 32
8B Control Point Locations .... ............ . 32
9 Distribution of Local Lift Coefficient Overthe Span of a Rectangular Wing; AR=5, c=5 ° 33
10A Vortex Pattern - Single Panel Model ....... .. 34
10B Vortex Pattern - Four Panel Model ........ .. 34
11 XCP Versus Span Station for Rectangular Wing;AR=5, a=5 ° , Single Panel Model......... ... 36
12 Comparison of y Distribution Along Root Chord . 37
V
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List of Symbols
a angle of attack
6(x,y),y(x,y) components of vorticity vector
6i yi nodal values of vortex vector
A difference symbol
w vorticity vector
set of planform nodal values of vorticity
[A. ] coefficient arrayiJ
A,B,C,D,E,F coefficients for 6 distribution
G,H,I,J,K,L coefficients for y distribution
u,v,w, perturbation velocities in x, y and z directions
i,j unit vectors in x and y directionTkTLk integral of specific region
R region of integration
U free stream velocity
moo free stream Mach number
c chordlength
C pressure coefficient
CL local lift coefficient
Cm local moment coefficient
k ratio of specific heats
M number of chordwise panels
N number of spanwise panels
{ } vector
[ ] matrix
vi
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Subscripts and Superscripts
L,T Leading or trailing triangle
i Node number
vii
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AFIT/GAE/AA/80D-14
Abstract
A higher-order trapezoidal vector vortex panel method
is developed for application to linearized subsonic potential
flow. Each panel is subdivided into two triargular subregions
on which a quadratic vorticity strength distribution is pre-
scribed for both the spanwise and chordwise components of
the vorticity vector. The vorticity strength distribution
is expressed as a function of the components of the vorticity
vector at selected nodes oil the boundary of each triangular
subregion. Nodal values on the shared boundary of the sub-
regions are made equal, assuring continuity of the vorticity
distribution function throughout the trapezoidal panel. A
lifting surface of no thickness is modeled with a network of
the trapezoidal panels. Again, nodal values on the common
panel boundaries are matched to achieve complete continuity
of the vorticity distribution throughout the lifting surface.
Aerodynamic data for several wing planforms is obtained with
the flow model. Results from this method are compared to
those from other computational and theoretical methods.
viii
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A HIGHER ORDER TRAPEZOIDAL VECTOR
VORTEX PANEL FOR SUBSONIC FLOW
I. Introduction
Background
The concept of modeling the flow over a lifting surface
by replacing that surface with a distribution of vorticity
began in the early part of this century and continues to be
expanded and explored. The first quantitative results were
achieved by Prandtl in 1919 with his lifting line theory
(Ref 9: 112-123) in which the entire surface was represented
by a single bound vortex and two infinitely long, free vortices.
Despite the many simplifying hypotheses involved in Prandtl's
theory, results obtained with it are sufficiently accurate
for many purposes and the theory provided the foundation for
many subsequent analytical analyses of the lifting surface
problem. In 1925 Blenk (Ref 1) extended Prandtl's idea by
representing the surface with not one but a distribution of
bound vortices over the surface. Blenk's method was an
improvement over the single lifting line approach, but still
had limitations and the computations involved were very
lengthy considering the absence of electronic computers at
that time.
A more recent development has been the vortex-lattice
theory (Ref 6). This method covers the surface with a grid
1
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of horseshoe vortices and has produced very useful results.
Yet another approach, and the one pursued in this report, is
to subdivide the surface into a network of panels, each with a
discrete vorticity distribution. Such an approach is termed
a vortex paneling method.
An accurate flow model via the vortex panel technique
is achieved as follows. The vorticity distribution is found
such that, at as many points as possible on the surface, the
normal component of velocity is zero. This is the so-called
kinematic flow condition (Ref 9: 126). With the surface
vorticity distribution known, the perturbation velocity at
any point on the surface is easily determined. The velocity
field and Bernoulli's theorem are then used to compute the
pressure distribution and subsequently the aerodynamic lift
and moment coefficients.
Ideally, the vorticity vector distribution used to
model the lifting surface should be one that resembles the
observed physical distribution of vorticity on a finite wing.
That is, the vorticity vectors at the wing root lie predom-
inantly in the spanwise direction while those in the region
of the wing tip lie predominantly in the chordwise direction.
Thus the chosen vorticity distribution function must permit
the vorticity to vary in direction. Such a scheme has been
proposed by Sparks (Ref 10). His results were flawed, however,
until a computer program logic fault was detected by this
author. Subsequent results have been encouraging. Sparks'
vorcicity distribution has two undesirable features. First,
2
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continuity in vorticity distribution is not enforced through-
out the surface (Ref 10: 9). This lack of continuity across
panel boundaries permits the vorticity distribution at the
boundaries to violate Helmholtz's second theorem regarding
the continuity of vorticity (Ref 8: 168). Second, the vorti-
city distribution is linear. It has been shown (Ref 4)
that increasing the number of terms in the polynomial expres-
sion representing the vorticity distribution has several
advantages. The higher order representation reduces surface
veloc. y errors and gives significantly improved accuracy as
the number of panels used to model the surface is increased.
The present report develops a vortex panel having a
quadratic vorticity distribution. The panel is derived spe-
cifically to provide a continuous vorticity distribution over
the surface while identically satisfying the second Helmholtz
condition at every point on the surface.
Approach
The basic problem is developed in Section II. First,
the quadratic vorticity distribution function and the
importance of the properties of the function are discussed.
The panel geometry is presented and unknown values of the
components of the vorticity vector are assigned to specified
nodes on the panel boundary. This permits the vorticity
distribution function to be expressed in terms of the unknown
nodal values and the panel geometry. The method of joining
panels to form a network to model a wing planform is then
3
~ j
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described. This global network has a certain number of nodes
and, consequently, a set number of global unknown nodal values
to be determined.
Section III describes the solution process. The first
step is the application of specific boundary conditions to
the leading, tip, trailing and root edges of the planform.
This process reduces the total number of unknown nodal values
which must be explicitly solved for. The solution is obtained
by generating an equal number of linear equations to be solved
simultaneously.
Two conditions are satisfied on each panel to generate
the required equations. First, the kinematic flow condition
is enforced at two control points on each panel. To accomplish
this, the normal velocity at each control point must be found.
As the normal velocity at any point is affected by the vor-
ticity distribution on the entire planform, each panel's
individual contribution to the velocity at any point must be
determined. The Biot-Savart Law is applied to the vorticity
distribution function of each panel to calculate the induced
velocity caused by that panel's vorticity on any desired
point in the plane of the panel. The velocities induced by
each panel on the desired control point are then summed.
This summation yields one equation representing the total
induced velocity at one control point. The second condition
to be satisfied involves intra-panel continuity of the vor-
ticity distribution. As will be explained in Section I,
inter-panel continuity is achieved by the commonality of
4
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nodal values at shared panel boundaries. Such commonality
will be shown to not exist, however, on the intra-panel
boundary, resulting in a discontinuity along that boundary.
This problem is resolved by forcing commonality of suffici-
ent nodal values along the boundary to ensure continuity.
Satisfaction of the kinematic flow condition and intra-panel
continuity condition results in a system of linear equations.
The solution of these gives the nodal values for the vorticity
distribution.
Section IV describes how the nodal values are used to
calculate the components of the vorticity vector at any point
on the planform. From the fully described vorticity distri-
bution, the velocity distribution on the surface of the plan-
form is readily determined and, subsequently, the pressure
distribution and aerodynamic coefficients can be computed.
The computer code used to evaluate the theory is out-
lined in Section V. Section VI presents the results achievcd.
Comparisons are made to other theories for rectangular wings.
Section VII draws conclusions from the results of this
method and offers recommendations for further improvement.
5
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II. Basic Problem Development
Vorticity DistributionFunction
The vorticity distribution is a vector function in the
x-y plane:
U7(x,y) = 6(x,y)i + y(x,y)j (2.1)
Each component of the vorticity vector is allowed to vary
quadratically throughout the plane, thus expressions for the
components are:
6(x,y) = A + Bx + Cy + Dxy + Fy 2 + Fx 2 (2.2)
y(x,y) = G + Hx + Iy + Jxy + Ky2 + Lx 2 (2.3)
It has been shown (Ref 8: 168) that vorticity is solenoidal
and so:
V * = 0 (2.4)
This statement of continuity is known as Helmholtz's second
theorem (Ref 8: 168) and also as the condition of source-free
vortex distribution (Ref 9: 124).
Equation (2.4) can be satisfied by replacing Eq (2.2)
by
6(xy) = A - Ix + Cy - 2Kxy + Ey2 jX2 (2.5)
6
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Basic Panel Geometry
Figure 1 shows the geometry of the basic trapezoidal
panel. This panel is subdivided into a leading triangle and
a trailing triangle (hereafter denoted by the subscripts L
and T respectively). The basic panel has nine nodes labeled
as shown. Two features of the nodal coordinates should be
noted. The x-coordinates of nodes 5-9 can be expressed in1
terms of the x-coordinates of nodes 1-4 (e.g. x5 = l(Xl+X
Only two y-coordinates need be specified in advance since
=1Y3" = (Yl+y2) .
Interpolation Functions
It will be shown later that it is advantageous to repre-
sent the expressions for 6 and y as functions of nodal values
and nodal coordinates. To accomplish this, each triangular
subregion of the panel is treated separately. Figure 2 shows
the panel split into its subregions with each subregion assigned
nine nodal values. Since Eqs (2.5) and (2.3) involve nine
coefficients, only nine nodal values are required to uniquely
define 6 and y within the subregion. Substituting the nine
nodal values of the leading triangle into Eqs (2.3) and (2.5)
gives
{IF } = [f.(xj,yj)]{Fi} (2.6)L 1 L
where
{rj= t 1 63 66 67 1 3 4 Y6 Y7 1T(27L L L L L {L L L L 1 (2.7)
{FL} = [AL CL EL GL tL IL JL KL L]T (2.3)
7
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yi y 3 y2
((x 3 'p2'
xx Y
Fig) 1. BscPnlGoer
L83
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y 7
7 ~ y 3
67Y
y -Y a
x
6
Fig 2. Panel Subregions With Assigned
Nodal Values
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Similarly for the trailing triangle:
{rJ}= [gi(x],yj]{F T } (2.9)
T 1j yj T
where
{r [1 62 6 64 1 2 8T (2.10)T T 65TT 68125, T
F i ( iKLT (.1T (AT CT ET GT HT 'T aT KT LTI (2.11)
Eqs (2.6) and (2.9) are solved for in the FL and FT, respec-
tively. The method used for obtaining the solutions is
explained in Appendix A.
The vorticity vector components can now be written in
the following form:
6LT(x,y) = fT (xy; xj ,yj)]rJ (2.12)LTL Tj j L ,T
YL,T(x,y) = [gLT(xy; xj,yj)]{F , T (2.13)
In Eqs (2.12) and (2.13) the functions f, and g , are the11, T ar the
interpolating functions for the components 6L,T and 1LT'
Network Assembly
Figure 3 shows how the panels are connected to model
the semi-span of a wing planform. While the planform showni
has straight leading and trailing edges, the methd also
permits analysis of cranked leading and/or trailiig edges.
The root edge, tip edge and all chordwise boundaries are
parallel to the x-axis.
10
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'0 0
U) 0.0
Ct . H
0 c0
0 r0
:30
00
u -%
0)
4-4
-- 4
Lt')
-4
mL
U
r-q 11
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Inter-Panel Continuity
Continuity of the vorticity function is assured across
inter-panel boundaries for the following reason. The line
forming a common boundary between two panels is described by
y = mx + b (2.14)
Let A and B be the two panels whose common boundary is des-
cribed by Eq (2.14) and examine the value of y along the
boundary for each panel. The value of y for each panel along
the boundary is given by substituting Eq (2.14) into Eq (2.13):
YAJBoundary C 1 + C 2x + C3 x2 (2.15)
YBIBoundary C 1 + C 2x +C 3x 2 (2.16)
The three constants in either Eq (2.15) or Eq (2.16) are
determined if three values of y are specified on the boundary.
If the same three values and locations are specified for both
Eqs (2.15) and (2.16), then the constants must be identical
and y is continuous along the boundary. The argument can be
repeated for the 6 function showing it too to be continuous
along the boundary.
Intra-Panel Continuity
The same conditions that assure continuity between
panels are applied to the shared boundary of the two triangu-
lar subregions of the basic panel. Figure 2 shows that
continuity is not assured along this boundary since the only
nodal values common to both subregions are the 5 and y
12
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components at node 1. Two more common values for both com-
ponents are required to establish continuity. This can be
achieved by enforcing the following conditions. The 6 com-
ponent value at node 4 of the leading triangle is made equal
to 64. The y component value at node 4 of the trailing
4triangle is made equal to y . Finally, the 6 and y component
values at node 9 of the leading triangle are made equal to
the 6 and y component values at the same node of the trailing
triangle. The enforcement of the above conditions assures
three common values and locations of both vorticity vector
components along the boundary and guarantees intra-panel
continuity. The method of incorporating these conditions
into the solution process is explained in Section III.
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III. Solution Process
Figure 3 shows the problem at hand. A quadratic vor-
ticity vector distribution has been prescribed on the surface
of a wing planform of no thickness. The vorticity distribu-
tion has been discretized by representing the wing as a
network of vortex panels without sacrificing continuity of
vorticity anywhere on the wing. By expressing the vorticity
distribution in terms of interpolating functions and nodal
values, the value of the vorticity vector is determined any-
where on the wing once the nodal values are obtained. This
section details the method of solving for the nodal values.
Planform Edge Boundary
Conditions
As stated in the introduction, the vorticity distri-
bution has certain observed physical characteristics. These
characteristics can be assigned to the model being developed
and will serve to simplify the solution process by reducing
the number of nodal values that must be determined in order
to completely specify the wing's vorticity distribution.
The method used by Cohen (Ref 2) to develop vortex
patterns on elliptic wings both with and without sweep is
the basis for the boundary conditions that will be imposed
here. These boundary conditions are not unique to Cohen's
work, with Kuchemann (Ref S: 140) suggesting similar vortex
patterns.
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Leading, Tip and Trailing
Figures 4A and 4B illustrate Cohen's straightforward
method for deriving the vortex pattern of a tapered wing in
straight flight. Figure 4A shows an arbitrary distribution
of lift assumed for the wing. Cohen shows the relationship
that exists between the pressure distribution and the vortex
pattern which yields Fig 4B. The contour lines in Fig 4B
correspond to the vorticity pattern of a continuous vortex
sheet. Based on these results, the boundary conditions for
the leading, tip and trailing edges are formulated.
On the leading edge the vorticity vector is tangent
to the leading edge. The slope of the leading edge is given
by Ay/Ax, so the vorticity tangency requirement necessitates
the 6 and y components at any point on the leading edge be
related by the following
yXA
5 Ax
or alternatively
= (= ( )y (3.1)
In the solution process, therefore, the 6 nodal values on
the leading edge can be expressed as functions of the y com-
ponents and, consequently, need not be solved for simultaneously.
At the trailing edge, the Kutta condition that no pres-
sure difference exists at the trailing edge requires that the
Y nodal values on the trailing edge are identically zero.
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Fig 4A. Lift Distribution (Ref 2)
Fig 4B. Vortex Pattern Straight Wing (Ref 2)
Fig 4C. Vortex Pattern - Swept Wing (Ref 2)
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This is because the lift at any point on the surface is pro-
portional to the cross-stream, or y, component of the vorticity
(Ref 2: 544), so requiring no load implies that y be zero.
Similarly, since the pressure differences between the upper
and lower wing surfaces decrease to zero toward the wing
tips, the y component of vorticity must also decrease to
zero at the tip. This results in the y nodal values being
zero along the tip edge.
Root Edge
Treatment of the root edge is not as straightforward
as the leading, tip, and trailing edges. This is especially
true for swept wings with pointed apices. Figure 4C shows
Cohen's results for the vortex pattern on a sweptback wing.
The vortex lines cross the root chord without a discontinuity
in slope. It would, therefore, indicate that a boundary con-
dition requiring the 6 component of the vorticity vector to
be zero along the root chord would be desirable. A conflict
develops near the apex, however, where the leading edge bound-
ary condition required that the 6 component be non-zero to assure
tangency at the leading edge. This dilemma is dealt with as
follows. Figure 5A shows the leading edge, root chord, panel
or a network modeling a swept wing (node 1 is the apex of the
wing). The boundary condition of leading edge tangency is
enforced at the apex. At node 2, however, the 6 component
is made equal to zero, permitting the vorticity vector to
cross the root chord without discontinuity in slope. At
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4, y
61
x
Fig 5A. Leading Edge Root Chord
Panel of Swept Wing
y
x
Fig SA. Boundary Conditions Applied to
Leading Edge Root Chord Panel of Swept Wing
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node S, the 6 component is peiiritted to be finite, but is
restricted such that the slope, y/6, of the vorticity vector
at node 5 is twice that of the vorticity vector at node 1.
Figure 5B shows the nature of the vorticity vector, -, on the
leading, root chord panel. Because the 6 component at node
5 is proportional to the y component at that node, it does
not have to be solved for explicitly. Any other nodes on
the root chord due to other panels are treated similarly to
node 2.
Applying all edge boundary conditions to the planform
of Fig 3 reduces the number of nodal values which must be
found to determine the vorticity at any point on the planform.
Figure 6 shows the same planform with only the unspecified
nodal values numbered. The number of nodal values which
must be determined for any network arrangement is 6MIN, where
M is the number of chordwise panels and N is the number of
spanwise panels.
Kinematic Flow Condition
Ideally, the vortex distribution on the lifting surface
would result in it being a stream surface such that the normal
component of velocity were zero everywhere on that surface.
The paneling method as developed here permits the enforcement
of only a finite number of boundary conditions so the kine-
matic flow condition can be satisfied only at certain control
points on the surface. In words, the kinematic flow condition
states that when the induced velocity at a point on the
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A4)
r- 00
*00
r- 40--x 00 C
00 C-C>el
0
-4C:
00
-4-
C14C
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surface, w(x,y), caused by a vortex distribution, w(x,y),
on the surface is added to the normal component of velocity
at the point caused by a free stream velocity U incident to
the surface at some angle of attack, a, the resultant velocity
is zero. Stated mathematically, the kinematic flow condition
isU sin a + w(x,y) = 0 (3.2)
The Biot-Savart Law serves to uniquely define the induced
velocity coexistent with a given vorticity field (Ref 8: 170).
Sparks (Ref 10: 10) has used the Biot-Savart Law and shown
that the normal velocity component induced at the origin of
an x-y plane, when that plane has a vorticity distribution
of the form (2.1), is given by
w(o,o) = I FR1(xy - Y6 ) / ( x 2 ) 3 / 2 d R (3.3)
Substituting Eqs (2.5) and (2.3) for 6 and y in (3.3) yields:
w - fRf(Gx + Hx2 + 2Ixy - Ay - Cy 2 + 3Kxy 2
41T
Ey 3 +Lx 3 + Jx 2y)/(x2 + y2 )3/2dR (3.4)
The induced velocity caused by one quadrilateral panel is
the sum of the velocities induced by each of its two triangu-
lar subregions. The coefficients in Eq (3.4) are constants
over a subregion, they being functions of the nodal values
and panel geometry. Eq (3.4) is rewritten as:
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w (GLT I + 1 "' H T ±L LL + Lb 3_ A T4 C T5 + 3K T 6
-ET 7 + L T8 + 3 JT9 + GT1 + ItT2 + 21IT3 (3.5)L L LTL f LTL 'T T ITTT T T
A AT 4 _ C T 3K T6 E T7 LTT 8 + T3)T9TT T'FT T T T T+ TT"
where
TLk T f RxiyJ/(x2 + y233/2dR (3.6)
and
k= 1 2 3 4 5 6 7 8 9
i= 1 2 1 0 0 1 0 3 2
j= 0 0 1 1 2 2 3 0 1
The evaluation of the first five integrals given by Eq (3.6)
is found in Sparks (Ref 10: 47-53). The last four were evalu-
ated in a similar manner; the results are given in Appendix B.
With the integrals evaluated in terms of the panel geometry,
Eq (3.5) is expressed in the form:
w (fi 6 + gi') (3.7)i=l1 1
where the fi and gi are expressions involving only the panel
geometry.
Eq (3.7) gives the normal velocity induced at the
origin of the x-y plane by a vorticity vector distribution
over a trapezoidal panel in the plane.
Intra-Panel Continuity
Condition
Intra-panel continuity is achieved by enforcing the
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four conditions set forth in Section II. The first of the-.e
is
6 6 L(x4,y2) (3.8)
Substituting Eq (2.12) for the right-hand side of Eq (3.8)
gives an expression in terms of only nodal values and panel
geometry. The second condition involves matching the I values
at node 4 and yields:
Y4 = YT(x 4,y2) (3.9)
The right-hand side of Eq (3.9) is replaced by Eq (2.13),
giving an expression in terms of nodal values and panel
geometry.
The final two conditions match the 6 and y values
at node 9:
6T(x 9 ,y3) 6L (x9 y3 ) (3.10)
YT(x9,Y3) YL(x9,y3) (3.11)
Eqs (2.12) and (2.13) are substituted into the left- and
right-hand sides, respectively, of Eqs (3.10) and (3.11).
Eqs (3.8) through (3.11) involve only nodal values and
panel geometry, and satisfying these four expressions assures
intra-panel continuity of the vorticity distribution function.
Eq (3.9) cannot be applied to the trailing edge root
chord panel (panel 3 in Fig 6) under all conditions. If
the trailing edge of this panel is parallel to the y-axis,
Eq (3.9) is ,;rivial. The reason for this can be seen by
examining Figs 2 and 6. Suppose the panel in Fig 2 is the
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trailing root chord panel. Then, by the planform edge
boundary conditions, the following are all identically zero:
61, 65 62, Y , Y , and y4 . The value of y on the trailing
edge is
YT = C1 + C2y + C2Y2 (3.12)
since x is constant on the edge. Two values of Y, (Y2 and
Y8 ), are specified. Helmholtz's second theorem, Eq (2.4),
says that:
af + 3 o = 0 (3.13)aNx ay
1ic I 2 an 5 96Since 6, 6 and 5 are all zero, - at node 2 is zero,
therefore 2- must also be zero at that node. Eq (3.12) is
completely specified if the three conditions
Y2 = Y8 = -y = 0 (3.14)Y
are dictated. The solution is that y is zero along the line.
Consequelitly, trying to apply Eq (3.9), recalling that y is
also zero, is redundant. This problem is avoided by always
insuring that the trailing edge of this panel (root-trailing
edge) has a non-zero slope so that the edge is never parallel
to the y-axis.
Matrix Formulation
Eq (3.7) is the induced velocity at a point caused by
one panel. The total induced velocity at a point is found
by summing the effects of all panels in the planform. The
effect of panels on the planform to the left of the x-axis
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is accounted for by reflecting the control point about the
x-axis and applying Eq (3.7) to that point. Figure 7 illus-
trates this procedure. The induced velocity at point A
caused by panels 1 and 2 is desired. The effect of panel 1
is found by straightforward application of Eq (3.7). From
symmetry, the induced velocity at point A caused by panel 2
is identical to the effect of panel 1 on point A'. So, the
induced velocity at point A due to panels 1 and 2 is the sum
of the effect of panel 1 on A and the effect of panel 1 on
A'. For a selected control point, the induced velocity is
given by:
6MNZ A. . = w..1)
j=l iJ (.)
In Eq (3.15) the coefficients A.. are functions of panel1J
geometry only, and the 4j are the unknown nodal values of
the vorticity vector distribution. The right-hand side of
Eq (3.12) is the normal component of velocity such that
Eq (3.2) is satisfied:
w. = -UO sin a (3.16)
Two control points are selected per panel so Eq (3.15) gives
2MN equations for the 6MN unknown nodal values.
The remaining 4MN equations come from the four intra-
panel continuity conditions being applied to each panel.
The resulting system of equations has the form:
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y
Fig 7. Control Point Reflection
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[Ai] 6M = sin 2N (3.17)
The solution to this system is:
P [A..] 1 (3.18)
Compressibility Correction
The Prandtl-Glauert Rule is used to account for the
effect of compressibility as the Mach number is increased
(Ref 8: 276). In practice, the adjustment for compressibility
is made by multiplying all x-coordinates in the A matrix of
Eq (3.18) by the factor
= / 1 (3.19)
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IV. Aerodynamic Data
The Cj, as determined from Eq (3.15), are used in
Eqs (2.12) and (2.13) to compute the components of the vor-
ticity vector at any point on the planform. The perturbation
velocities on the surface due to the vorticity distribution
are:
i 2Y 1 (4.1)
v 16j (4.2)
where the upper and lower signs correspond to the upper and
lower sides of the surface (Ref 9: 124).
Following Sparks, the perturbation velocities are
used to determine the pressure coefficient by one of two
methods. The exact isentropic expression is (Refl: 433):
Cp = 2[l+([k-llM2/2) (1- [(tJ *-u)
+V 2 ]/U 2 ) k / ( k - ).I]/K 2 (4.3)
while the second order approximation is (Refll: 433):
Cp = -2[2u/U.+(l-N 2 )u 2 /U 2 + v 2 / U1 ] (4.4)
Let the difference in the pressure coefficients of the lower
and upper surfaces be defined by:
AC = C - C (4.5)
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The local coefficients of lift and moment are then given by
(Ref 9: 30):
C C AC dx (4.6)L Co p
and
CM - fo (AC )x dx (4.7)
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V. Computer Code
The theory set forth in Sections II, III and IV has
been incorporated into FORTRAN code. The program, WING2,
takes its basic structure from the program WING, developed
in Ref 10. WING2's mainline and two of its subroutines,
MESH and LOADS2, are the result of only minor modifications
to their counterparts in WING. Each subroutine is briefly
described below and a complete listing of WING2 is in Appen-
dix C.
WING2: Reads data describing the planform to be
analyzed. Calls all subroutines.
MESH: Computes the x-y coordinates of the nodes and
control points for the input planform.
BIOT: Generates the 2MN equations which result from
enforcing the kinematic flow condition at each control point.
INT: Evaluates the nine integrals given by Eq (3.6).
STRIP: Is called by INT and contains expressions for
evaluating the integrals.
CONT: Generated 4MN equations which result from
assuring intra-panel continuity.
COEFF: Evaluates the coefficients required to define
the interpolating functions.
LOADS2: Uses the nodal values of the vorticity dis-
tribution to determine the pressure distribution and aero-
dynamic coefficients.
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VI. Results and Discussion
The theory was evaluated by obtaining aerodynamic
data for a rectangular wing of aspect ratio 5 at an angle of
attack of 50* Two panel networks were used. First, the
wing semispan was modeled with one panel. Second, four
panels of equal size were used.
Figure 8A shows the distribution of the local lift
coefficient, CL, over the span using the one panel model
and varying the control point location. Figure 8B shows the
control point set locations on the semispan. The results
shown for these locations illustrate the sensitivity of the
solution to the control point placement. Analysis of results
for the four control point locations shown and others indi-
cated that control point set A was the most desirable.
Figure 9 shows the CL distribution for control point
set A compared to the distribution predicted by Truckenbrodt's
lifting surface theory (Ref 9: 164). Although WING2 consis-
tently underpredicted CL values, the distribution is smooth
and exhibits the desired rate of decay from a maximum at the
root to zero at the tip.
Figure 1OA illustrates the value of the vorticity
vector at various points on the semispan, again for the single
panel model. Also plotted on the figure are the two control
point locations. The nature of the vortex pattern agrees
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AA
.C3-
.232
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o Truckenbrodt's Lifting SurfaceTheory
3 WING2, Single Panel Model
.5
.4
u .3
,.-4
44
0U
'J
.8.2
014
U
0.1 .2 .3 .4 .5 .6 .7 .8 .9 1.0
y/s
Fig 9. Lift Distribution Versus Span Station
for Rectangular Wing; AR=5, a=S °
33
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.2Sy Control Point
.2-6
+
Fig 10A. Vortex Pattern Single
Panel Model
.2Y + Control Point
.2- _ ____ _ _
6 4.+
-4 4
+
+ ."t.
Fig 108. Vortex Panel -Four Panel Model
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with the desired pattern, Fig 4B.
Figure 11 plots the center of pressure versus span
station. The X shifts slightly forward towards the tip
instead of slightly rearward as desired (Ref 9: 159).
The desirable features exhibited by the one panel
model all but vanish when four panels are used. Figure 10B
graphically shows the altered nature of the vortex pattern.
The prevalence of negative values of both 6 and y is not
physically reasonable for this low a case. A further illus-
tration of the departure of the four panel solution is shown
in Fig 12. Here the chordwise distribution of Y is given
along the root chord. Three distributions are shown; the
one panel model, four panel model, and the exact answer for
two-dimensional flow about a flat plate (Ref 5: 62):
XL -xY(x) = 2a(x-x ) (6.1)
where x L and xT are the values of the leading and trailing
edges respectively. For the single panel model, WING2 is
more correct in the midchord region than in either the lead-
ing or trailing edge regions.
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.4
0
.3 0 0
0~00 00
;2
.1
0 I I I I I I I I II
.1 .2 .3 .4 .5 .6 .7 .8 .9 1.0
y/S
Fig 11. XCp Versus Span Station for
Rectangular Ving; AR=S, t=5 °
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1. (
Exact 2-D Solution
- - WING2, Single Panel
.8 - - WING2, Four Panels
.7-
.6-
.4-
.3-
.1 2 31 . 5 6 7 -- 8 . .
-. 4
Fig 12. Comparison of y Distribution
Along Root Chort
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VII. Conclusions and Recommendations
The linear discontinuous vorticity vector method of
Sparks (Ref 10) has been extended to a quadratic, continuous
vector vortex panel method. The desirable features of the
higher-order, continuous vorticity distribution are apparent
from the results of the single panel model. The spanwise and
chordwise lift distributions, while consistenly low in value,
do exhibit the characteristics of the desired solutions.
The method breaks down, however, if the planform is modeled
with four panels.
No reason is readily apparent for the drastic change
in the nature of the vortex pattern for the four panel solu-
tion. It is suspected that the vorticity distribution func-
tion must be further restricted so that the solution converges
toward a physically reasonable result.
The following are recommendations which may improve
the results of the method.
a. Sacrifice some control point equations to provide
continuity in the first derivative of y with respect to y
across panel boundaries.
b. Incorporate analytical results into the solution
process. Davies (Ref 3) has demonstrated an accurate closed
form approximation to the behavior of the lift distribution
near the wing apex. Using the analytical result will insure
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a more correct result in the apex area and may then improve
the overall lift distribution.
c. Adopt an iterative procedure. Starting with the
single panel solution, use selected values of 6 and y as
given quantities in the four panel solution process.
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Bibliography
1. Blenk, Hermann. "The Monoplane as a Lifting VortexSurface," National Advisory Committee for Aeronautics,Technical Memorandum No. 1111. Washington, D.C., 1947.
2. Cohen, Doris. "A Method for Determining the Camber andTwist of a Surface to Support a Given Distribution ofLift, With Applications to the Load Over a SweptbackWing," National Advisory Committee for Aeronautics,Technical Report No. 826. Washington, D.C., 1945.
3. Davies, Patricia J. "The Load Near the Apex of a LiftingSwept Wing in Linearized Subsonic Flow," Royal AircraftEstablishment Technical Report 72031, January 1972.
4. DeJongh, J.E. and Kooh, S.J. "An Evaluation of HigherOrder Aerodynamic Paneling Methods for Two-DimensionalIncompressible Flow," AIAA Paper 78-14, January 1978.
S. Kuchemann, D. The Aerodynamic Design of Aircraft.London: Pergamon Press, 1978.
6. Langley Research Council. Vortex-Lattice Utilization.National Aeronautics and Space Administration, SP-405,1975.
7. The Mathlab Group. MACSYMA Reference Manual. Laboratoryfor Computer Science, Massachusetts Institute of Tech-nology, 1977.
8. Milne-Thompson, L.M. Theoretical Aerodynamics. NewYork: Dover Publications Inc., 1973.
9. Schlichting, Hermann and Truckenbrodt, Erich. Aerodyna-mics of the Airplane. New York: McGraw-Hill Book Co.,1979.
10. Sparks, John C. "Development and Application of a SubsonicTriangular Vortex Panel." Unpublished MS) thesis (A}I'T/GAE/AE/80J-l). Air Force Institute of Technology, Wright-Patterson AFB, Ohio, June 1980.
11. Yuan, S.W. Foundations of Fluid Mechanics. EnglewoodCliffs, N.J.: Prentice-Hall, Inc., 1967.
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APPENDIX A
Interpolating Function Equations
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Interpolating Function Equations
Eqs (2.5) and (2.3) are transformed into functions of
nodal values and nodal coordinates. The solutions to Eqs (2.7)
and (2.10) are
{FL} = [fi(x,y-)]I {fj} (A.)L 1jjL(A)
and
1F = [gi(xj,yj)] " I {rj } (A.2)
The fi and gi matrices were symbolically inverted using the
computer program MA CSYMA (Ref 7). With the symbolic inversion
the F are readily expressed as linear polynomials in theL ,T
nodal values. For example,
FL = AL = (ALDl)(6 1) + (ALD3)(6 3 ) + (ALD6)( 6 )
71 3 A3
+ (ALD7)(6L7) + (ALGI)(YL) + (ALG3)(y3) (A.3)
(ALG4)(- 4 AG6( + (ALG7)( 7
where the ALDX and ALGX represent the appropriate element of
the inverted f. matrix. The complete algebraic expressions1
of the inverted fi and gi matrices are found in the subroutine
COEFF listed in Appcndix C.
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APPENDIX B
Evaluation of Integrals
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Evaluation of Integrals
The procedure for evaluating the four integrals in
Eqs (3.11) - (3.14) is given in detail in Sparks (Ref 10:
47-53). Only the results are given here.
Following Sparks' notation, the STRIP functions for
the four additional integrals are:
S6 [(x0 ,y0),(x l,y l)] = mY + 3bi62(m 2+1) m 2(2+ 2)
S(m2y + m2 x2 )1/2 ( my 0 + 3bm2(m 2+1) 2(m 2+1)
S(m2Y2 + m2 2 /2 + 3bui2 - m(m 2+1)b20 2m2+1 5/2
(2+l 1/2 2 2 /2
(m }1) (y2+x 1 ) +MY +x(
LN( 2 1/2 2 2 1/2 (B.1)(m +1) (y 0 +X0 ) +my 0 +X0
2b-yl 3bS7 [(x 0 ,y 0 ),(x 1 ,y l )] = {( 2 2 2
2(m +1) 2(m +1)
2b+Yo 3b
(my + m x) ( +2(m 2+1) 2(m 2+1)
• m~ 2 3m 2 b 2
my0 0) 2(2-)/2(m2+1) g /
(m 2 + I ) 1/2 (y2+x2) 1/2+my +x 1LN( 1/2 2 2 1/2 ) (B.2)
(m 2+1) (y 2x 0 ) +mY 0 +x 0
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02 2
2(m +1)
" (x2+2 )1/2 + y rnx0(m 2+1)-rn2 b+2b
1 0 2(m 2 +1 2
"(2 +y2 )1/2 + 3mb 2
( 0-- 0) 2(m2 +1)5/
(in2 +1) 1/2 (X2+Y 1/ 2 +nY +xLN(- 20/ ( 04-0 0 (B.3)
(in .1) (x 1+Y,) 1 /2 mY1 4xl
3rnb+m 4 x +n 2 xiSg[(O.-Y).-Xl.,j~l2(m2+1)2
~2+X21/2 3mb+m 4x 0 '+m 2 x0(YI 1)2(m 2+1)
2
( +2 ) 1/ + OILN(+(x 2 + 2 )/ 2
2l 292112 2 2 b 2 -b 2
2 LN~xl(xl~y,)2(rn2 +1) /
(r 2+1)1/ 2(y 2 +x2 ) /2+nY 0+x 0LN( (m2+ 1/22+ 2 1/2 (B.4)
(in 1)( 1 x1) +my14-x1
The expressions for the four integrals are then
T= S i[(x,,Yl),(x 3 ,y2)] - Si[(xl1 ,),(x 4,y2 )I (B.5)
T= S i[(xlyl),(x4,y2 )] - SilKx 2,yl),(x 4,y 2 )] (B.6)
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V
APPENDIX C
Computer Code
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.. I qL , L( r L 1 ,- .
)" ')~~~L i Ii~L;I I'l -/r LL , X
11~~I~ f N 7,L -K I LI
Ali., ,-N T ?', . . s , : ,.''n L VL/
1 L 9 , L ~ L
3L3,L 1,iL,
*. <L * <4 - , . , _ : ; , .. , L
L I 7LI. 9 p J1 L L,L L
C] r r' =T, . , r-. . . ) ,.. - ,:Tr , -, S 'T ~o 7 JT , Ij. I JJ I , I ,-
vr <.' Lig ', -,H~ L 7'. ., '3 ,LTG Ld'pt. , I L) Ll; ,i.~~r
2 L;,7 ~L r 3 Lv, C- '.- L, L- , .-." . -.T T
"I : J-.': t'C", v, , I J 'JI(T1) 1
v r , <
r~l T r Y7 ;' , S -)T
H -. L 7-) T-7L L P L r;.
LLL
1 Tr I , I 3 1 5" , 9
1 j E:S:- . 3 s ,'3,.,,i, ,r , :, ,?, - ,rF~nl 1
SL 7-A ii T
3 , :G.' I 7PU Gj -'l-, - "- T;I rlT71
ZAD SD, 14 DATA.
t , ' -, -t, S'AT C. /Aq K , L IUX, . )
"' C( ,."
"3 r( ) _ '. ,Wi7T C,? 3 )
$- = -,, t/ 3 ) : ->J, S I ;' -I ). r I: (
T 2
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r I: s
2 **IT)' (,,:. ) I !
,r:T ('.,:'
. 1 Y. , V
" . r o .
-V I C ;', ?k J1 ',.S,
'r T <'7 T- )
W I ..
J'E T :1
(/ a", 31 - 7 - 7 31
,-,) y , ?
" W' T C ,L)
II
Z. 4-., : Lt~ "I +3 i-L'."JL4 ., w, r . , " S :5 t _? E, t,"- .
CA CJL T Nfl4-I DA..'I5 1".",.VFr;= 1;- j
-LL '+' ( 3)
T fl'*= *
. <'' - . L 1 7U
7 " L L L r 3 4
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w
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TNrS 'rO IT Ci~ i 14 A~ rK S 7-4 0 t N L 4' 74GC'A IS. IiL C, U'! IDJ~ 'S 1 E U7TV7
-CONJ 1 %L OnIJT 1" 73 j .)IIT t 4tNST
IL L,Il
CLCL7 ST.") C7) 3,-Y)N7
f-L. STF~1P~i,YI,XZ,Y?, I)* ~CtLr~i,%TE rT'-Z rJ T -L '!'Ul- ~ ~ 1?) tN IAGNN~AL 4I1T-4 ~ PIT ITS (X,,fi.
CLL M ITF Y 1 Y l2,p1)C AL C UL IE S TRT r' F'YJr 11~ ).4 D Ti H
jJ IXe Y
I V AL'J-1r P AN--L I NTZ ZL 3
r L I Q I 1 2
ii
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5 Ll - 73 [ U.1LT~.~ 3 CL J I T Cr
T TK'OF PIJ T: -,.Lt(r II T J I
-j FijT~ LLP T~ 3,1 7) i
flT 1 ',c-o SO~ T) '.
Y -Y I2 (D ')-~f,
'.1+1
P.I ! ILL '('
911* r)/(. -I , 3'
pj'r- '.'rI* U" *'
~- +
* (,I' ty j) 2 )
21 f( I I I -
1 y 5I
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3'JI 7 zALz-G(C'J-.J)
Socr(r ) (y . r -- ,4nji 1 f(
WR-T m " PF'(L L1 1
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P 7")1 LTP.. e1(
I Ut 0' I*4C)1- %/ 'L P. 3 -13: 'N 14 11|I . / - 9',LTC T 1 1 , . r
I C-1
r) I - 3 (2) ( (",?)-' (,'=!
2 v~.T.-2,t (K+l)
y3 ( ')l )no) 2' 1T- 1 l
Y ('9), f): C(! , I )+: ( ,) ( ( ) n ]
Y (1) '3 ) ( C , S , 1) / J )
'CC, C)=. (.C ,:) * X ''4) "(J !)-1)/-_
C'J3, r ,y() - )
3 ( 4-' ") ( ( 21 E( ? .) -
, 'I) j y 1 7 + )
V ' 1 ( D -1))
Y { 3 "):t=A (y , ' *u 2-'..-) ) / (YP(VC,)-C' (!.y 111 I, (' - j ,:, :
? ) L" FC3 A L CULA T -- CO0 iJ. L 4 ['T .
y : I = y ., -
Y( .~7 =CC, Y , I , C) I tV ', , L
Y( I 5r'I T , T "
: " 'o T ['' ; T :
L :L53C
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tf 4T K, IZ
y L9 1
C --' C'L L L7
I IL L )
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FRI--- *'
1, (.Y T*~ j*.1 T J 3 4
,-. ,1 Clv!4
7;~, 41
;1, 4 t
,' 41
rl G1 4'4 %
n'. T17 42
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L , ,' "
,L ,-) -L , '-Cl ,L , L ,2 c LI. 7 Lj L' L
JLr IL" JL-I J. , . J JL-,
L I <
7 -L D]It ' 1 L 3u, 4:L3: '.. -L,'
4 LLC ,5 L I L. L
1 3 T I
C I I' I
C J T JYJT' ,
T CT' ,;
H LT 1,L T, LT
3 LLF, , L L ,,
JT 'l, J I I , J I
VT D w IL r2,. 7 .'7r
+ , 4 Y Y '-V'-?7 - (Y I-2-," (Y+ '-'') )'. -)
" '? - ( 0', , '4< ^. )-v2 _' ( ( - - -. ' t)•
V .. v ' 4 <t'~', .Vi I"'o)'Y: Y •
"Y . ° + > " * I ' .)" 1, ' ?)/ (Y " -- f+
y L2 Y y - - y + ( I y 2 y3 I t 2)
T V = y (y,, 1. 'Y.'*? 1 'YV )Y '7AT - --. .5
Y 4( X
1 '
X ' i
(' " I X ) ' I y 1-1 1 f2 #"(( Z 4 Y?* '
2 Y24 , IV 2 , ;- ? ' -4') 2-. $( I' y 4 ',2- 4'" ' "-
X Y1 ,lyf~t y ,~ ct2Y14?Y:'I'I' V
4- y 1 4K)
2 1" Y- c -3Y( " I (" ' " '"s " 2' 3 4 yy" 2-6')-' 'Z ("6 Yy. ~ fv - *] -y 2- y'-'( K y y'' I X Y. ' ) Y '
J 1 IVI~ ( -y ,-. . Y . 2 ' -- " ' . / . , - } , .
2 ' 2 / (Y " .. - yl- " ." 1 "v"'' : "("C { " '' [ "X ;"-"Y ' "
x 4 1( - 1. , ") . yt- - . f -. , €+ . I -f . ] v:
(7 1" 1 1+ ,
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2 'XTi X I Y 2 (Y 4e -- ' '
2 ?
1 2s 21P + , Q 2+-'~( < f~y) (I; >2 1 V''LZ "E 2
2Y +- ?-, - 2s 2: x?- y
x __2 Y, Y, ~ ?
2 % e y IVt'7(X1' 23 s.4 Y I Vyy y
T '0 34 Y Z Y I..'. Y' 3- +? ViL -3*r 3
I Y1'K<
2 x'~ " ? 3)+
2 ??<X4 22"V2) 12)
Z/Y2 C?21'2't * 2
2 x'Vs .. ,t7
4 X ( 4.-'-~ .Vj 7rr2)( Y2 '' iV2''
P ~ ~ ~ ~ ~ ~ y V:M
2 ( -2' ?- X r'u%' V> 2.('
I P Y- 'YeV: ?'yC~ ? 2 u y
2 G Y - W ?'3) V1fV2( VC2~* 1 .+ ~ 1 '5) -'yj' v' r '
2 ~ ~ ~ ~ *' OY254)0<I ';
1 + Y <2 * 24 I
I I? )' ?,- ++V4 V3Y ?f I I)
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2 )'YI' 2)
Yi~ 'Y?+X1-4) *-- I + 7Yj < (X ?-? IyfI Yil9()t.< ':2 'V +X: ,)v )
T 2)Y <)- k Y -/ (V ''2 +~''
2 X) y2' 4- Y- V I'7 -* -K' +2'-
2 *< V4'-2') 2 Y, 7 2
2~ 2 Yi- V . 2+
2 yt.2
leT-,- J ' V+ 2f.' . Y V YV - '(? A;:
2 , Y2 2 C 2Y !t 7: V2
T- . V?'yi.V2#(y . y IyL' , , X -
1 yV7 +L)2V: ')Y(I2 -?'+Xi 2 Y >2 I +~1 2
2'V 2+'1 ''- + *yq.
I - U *. B ) - X
+,. 2 Y:2*'v y+. r X / V +
2L 2 ,1+y YIy,+y 'F' 2
3C 7)'±''' 1 U *CX'*iUNSV~'3
T Y Y 1 +8
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Vita
Ronald E. Luther was born in Waukegan, Illinois on
11 June 1948. He was graduated from Chillicothe High School,
Chillicothe, Ohio in 1966. He graduated from Purdue Univer-
sity with a Bachelor of Science degree (Aeronautical Engineer-
ing) in June 1970 and was commissioned into the Air Force at
that same time. After completing Undergraduate Pilot Training
he was assigned to the F-111 weapons system and was stationed
at Nellis AFB, Nevada, Taklhi Royal Thai AFB, Thailand, and
RAF Upper Heyford, England. In 1979 he entered the Air Force
Institute of Technology.
Permanent Address: 4801 Sparrow DrDayton, Oh 45424
83
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UNCLASSIFIED
SECURITY CLASSIFICATION OF THIS PAGF (Whe.n )0.tm Fnt-r.d
REPORT DOCUMENTATION PAGE READ INSTRUCTIONSDCMN O BEFORE COMPI.I'TINC, F(I<M
I. REPORT NUMBER .2. GOVT ACCESSION NO. 3. RECIPIENT'S CATALOG NUMBER
AFIT/GAE/AA/80D- 14 ,4. A9! ' __"__ _.. . .4. TITLE (and Subtitle) S. TYPE OF REPORT & PERIOD COVERED
A HIGHER-ORDER TRAPEZOIDAL VECTOR VORTEX MS ThesisPANEL FOR SUBSONIC FLOW 6. PERFORMING O1G. REPORT NUMBER
7. AUTHOR(s) 8. CONTRACT OR GRANT NUMBER(s)
Ronald E. LutherCaptain, USAF
9. PERFORMING ORGANIZATION NAME AND ADDRESS 10. PROGRAM ELEMENT. PROJEC, TASK
AREA & WORK UNIT NUMBERS
Air Force Institute of Technology (AFIT/E.N)Wright-Patterson AFB, Ohio 45433
1 . CONTROLLING OFFICE NAME AND ADDRESS 12. REPORT DATE
12 December 198013. NUMBER OF PAGES
9314. MONITORING AGENCY NAME & ADDRESSif different from Controlling Office) 1S. SECURITY ZLASS. (of th,s report)
UNCLASSIFIED
ISa. DECLASSIFICATION DOWNGRADINGSCHEDULE
16. DISTRIBUTION STATEMENT (of this Report)
Approved for public release; distribution unlimited.
17. DISTRIBUTION STATEMENT tof the ahst,.¢c entereJ in f,, ,ck 20, if different from Report)
IS, SUPPLEMENTARY NOTES Approved for public release; lAW AFR 190-17
Fredric C. Lynch, Major, USAF
Director of Public Affairs O0 DEC 98019. KEY WORDS (Continue on reverse ii-ei nre .... rv arid tder,tlv 6y block numttter)
Airloads Perturbation MethodAerodynamic Loading Paneling MethodPotential Flow Vortex PanelSubsonic Flow Singularity Method
20. ABSTRACT (Continue tn reverse -side it necessary end identity hv bloc-k rt-thor)
A higher-order trapezoidal vector vortex panel methodis developed for application to linearized subsonic potentialflow. Each panel is subdivided into two tria-,tilar subregionson which a quadratic vorticity strength distribution is pre-scribed for both the spanwise and chordwise Loponcnts of thevorticity vector. The vorticity strength distril, ilion is
IORM
DD I jA3 1473 EDI1TION OF I NOV FS IS CBSOLETF UNCLASS I1F I FSECURITY CLASIrICATION O' '-IS PAGE fw.,, . a fnt,.ed)
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UNCLASSIFIEDSECURITY CLASSIFICATION CF THIS PAGE(Wliw Data Entered)
Block 20:
expressed as a function of the components of the vorticityvector at selected nodes on the boundary of each triangularsubregion. Nodal values on the shared boundary of the sub-regions are made equal, assuring continuity of the vorticitydistribution function throughout the trapezoidal panel. Alifting surface of no thickness is modeled with a network ofthe trapezoidal panels. Again, nodal values on the commonpanel boundaries are matched to achieve complete continuityof the vorticity distribution throughout the lifting surface.Aerodynamic data for several wing planforms is obtained withthe flow model. Results from this method are compared tothose from other computational and theoretical methods.
UNCLASS IF IlVD
SECURITY CLASSIFICATION OF '" &3A1' h-lrn [)at* nf-Med)
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