# Fixed-wing aircraft > [[PORTAL_Aviation|Aviation]] · [[PORTAL_Avionics|Avionics]] spine. <!-- MICROSIMGEN:BEGIN v1.7 — hand-placed to match siblings; regenerate with g08_place_microsims.py (§15) --> ## Microsims — three.js ### Fixed-wing aircraft (three.js) <div class="microsim-player"> <iframe src="https://wikitube-3d-microsims.netlify.app/Fixed-wing_aircraft.html" width="100%" height="620" frameborder="0" loading="lazy" sandbox="allow-scripts allow-same-origin" title="Fixed-wing aircraft — three.js microsim"></iframe> </div> **Open it full-screen:** [Fixed-wing_aircraft.html](https://wikitube-3d-microsims.netlify.app/Fixed-wing_aircraft.html) · library `threejs` · route `microsim/threejs/` ### Related microsims Live sims on neighbouring articles: - [[Aircraft_flight_dynamics]] - [[Helicopter]] - [[Sonic_boom]] - [[Airplane]] - [[Glider_(aircraft)]] - [[Fuel_economy_in_aircraft]] *Sim hosted off-article; the article owns the reference, not the runtime (WIKI_RULES §10.4).* <!-- MICROSIMGEN:END --> ## Overview A **fixed-wing aircraft** is a heavier-than-air machine that generates lift from wings held rigidly relative to the fuselage, rather than from rotating blades. Almost everything else about the aeroplane — its span, its planform, the shape of its tips, the reason a sailplane looks nothing like a fighter — follows from one fact about how a finite wing makes lift. That fact is this. **A wing lifts because there is circulation bound to it, and a wing of finite span cannot carry circulation without shedding vortices off its ends.** Those trailing vortices push air downwards in the region between them, which tilts the oncoming air at the wing itself very slightly downwards. Lift, by definition, acts perpendicular to the *local* oncoming flow — so the lift vector tilts backwards by the same small angle, and the rearward component of that tilted vector is a drag force. It is called **induced drag** (or *lift-induced* or *vortex* drag), and it exists for exactly as long as the wing is lifting. It is not friction. Nothing is rubbing. It is the unavoidable bookkeeping cost of pushing a finite quantity of air downwards fast enough to hold an aeroplane up. This is the one aerodynamic story that a two-dimensional aerofoil diagram physically cannot tell, because a two-dimensional section has no ends. It is the reason the microsim above is three-dimensional. The scene shows the bound circulation glowing along the quarter-chord line, the sheet of vorticity that streams off the trailing edge and winds itself into two concentrated wingtip vortices, the downwash field those vortices create, the spanwise lift distribution measured against the elliptical ideal, and — at one spanwise station — the force triangle in which the lift vector visibly leans backwards into drag. The aerodynamics is not decorative. It is Prandtl's lifting-line theory, solved live as a Fourier series and checked against the classical results: an elliptic planform returns a span efficiency of exactly 1.000 and the closed-form lift slope to machine precision, and the computed induced-drag factors reproduce Glauert's published curves. ## The physics ### Circulation and the Kutta–Joukowski theorem Take a closed loop drawn in the fluid around the wing section and integrate the velocity along it. That line integral is the **circulation**, Γ: $\Gamma = \oint_C \mathbf{V}\cdot d\mathbf{l}$ For an aerofoil in a steady stream, the **Kutta–Joukowski theorem** states that the lift per unit span is $L' = \rho\,V_\infty\,\Gamma$ with ρ the air density and V∞ the freestream speed. This is exact for inviscid, incompressible, two-dimensional flow, and it is remarkably indifferent to detail: it does not care what shape the section is, only how much circulation it carries. Lift *is* circulation, scaled by density and speed. That raises the obvious question — what sets Γ? Potential-flow theory alone does not: a family of solutions exists, one for each value of circulation, and all of them satisfy the equations. What selects the physical one is the **Kutta condition**, the empirical-but-inevitable requirement that the flow leave a sharp trailing edge smoothly rather than whipping around it at infinite speed. Viscosity is what enforces it. In the first instants of motion the flow *does* try to turn the corner, a vortex forms at the trailing edge, and it is washed downstream as the **starting vortex**. Kelvin's circulation theorem says that the circulation around a large material circuit enclosing both wing and starting vortex must stay zero, so as the starting vortex leaves with circulation −Γ, the wing is left with +Γ. The wing does not "have" circulation given to it; it acquires exactly as much as the Kutta condition demands, and pays for it by throwing an equal and opposite vortex overboard. For a thin section at small angle of attack, thin-aerofoil theory gives the result the microsim uses: $c_l = a_0\,(\alpha - \alpha_{L0}), \qquad a_0 = 2\pi \ \text{per radian} = 0.1097 \ \text{per degree}$ where α<sub>L0</sub> is the zero-lift angle (zero for a symmetric section, roughly −4° for a moderately cambered one such as NACA 2412). Measured slopes for real sections are a few per cent lower — the classic NACA variable-density-tunnel survey of 78 sections found values clustering slightly below 2π because the boundary layer effectively decambers the section. ### Why "equal transit time" is simply false — and why "Bernoulli vs Newton" is a false choice The popular explanation — that air parting at the leading edge must rejoin at the trailing edge, so the longer upper path forces a higher speed and thus lower pressure — is wrong twice over. It is wrong **quantitatively**: for a typical wing section at cruise the upper surface is only a couple of per cent longer than the lower, so equal transit time would demand only a couple of per cent extra speed, which yields something like a tenth of the lift actually required. It is also wrong **empirically**: smoke-pulse and dye experiments show that fluid over the upper surface reaches the trailing edge *well before* the fluid that went underneath. There is no reason it should rejoin at all; nothing in the equations requires it. The related trap is treating "Bernoulli" and "Newton" as rival explanations, one of which must be correct. They are not rivals. The **momentum view** — the wing leaves behind air with downward momentum, and the rate of downward momentum production equals the lift — and the **pressure view** — the flow is faster where the pressure is lower, and integrating pressure over the surface gives the lift — are two exact accountings of the same flow field, and they return the same number. Neither is the "cause" of the other. Pressure and velocity are coupled by the momentum equation, and a Bernoulli statement is just that equation integrated along a streamline for steady, inviscid, incompressible flow. Both can be botched: momentum arguments go wrong if the control volume is chosen carelessly, and pressure arguments say nothing unless you already know the velocity field. The circulation picture is more useful than either, because it is the one that predicts a number from a geometry. ### Helmholtz, Kelvin, and the trailing vortex sheet Now make the wing finite. The bound circulation Γ(y) must fall to zero at each tip, because there is no wing there to carry it. But **Helmholtz's vortex theorems** forbid a vortex filament from simply ending in the fluid — a filament must form a closed loop, extend to infinity, or terminate on a boundary. So wherever Γ changes along the span, the difference has to leave the wing and stream backwards. The result is a continuous **trailing vortex sheet** whose strength per unit span is $\gamma(y) = -\frac{d\Gamma}{dy}$ The sheet is not a curiosity; it is compulsory. Every unit of lift on a finite wing is bought by shedding vorticity. And the sheet is unstable: its own self-induced velocity field causes the edges to wind inwards, and over a few tens of span-lengths it rolls up into two concentrated counter-rotating **wingtip vortices**. Between them the air moves down; outside them it moves up. The microsim computes that roll-up rather than illustrating it. Far behind the wing the crossflow is essentially two-dimensional with the streamwise coordinate acting as time (x = V∞t), so the sheet's evolution becomes the classical two-dimensional point-vortex problem, marched downstream. Thirty filaments are shed at cosine-spaced stations, each carrying κ = −(dΓ/dy)Δy, and each is convected by the Biot–Savart field of all the others, with Krasny's desingularisation applied to keep the discrete sheet from going chaotic. The pink cross-flow ribs in the scene are snapshots of the sheet's cross-section at six downstream stations: they start straight and end as spirals. ### Prandtl's lifting line The link that closes the loop is that the trailing sheet **induces a downwash at the wing itself**. Applying Biot–Savart to the semi-infinite trailing filaments gives, at spanwise station y₀, $w(y_0) = -\frac{1}{4\pi}\int_{-b/2}^{b/2}\frac{(d\Gamma/dy)\,dy}{y_0-y}$ so the local flow arrives tilted downwards by the **induced angle of attack** α<sub>i</sub> = w/V∞, and the section sees an *effective* angle α<sub>eff</sub> = α − α<sub>i</sub> rather than the geometric one. Each station's circulation depends on the downwash from every other station, and vice versa: it is an integral equation for Γ(y). Prandtl solved it in 1918–1919 by substituting y = −(b/2)cos θ and writing $\Gamma(\theta) = 2bV_\infty\sum_{n} A_n \sin(n\theta)$ which turns the integral equation into the **monoplane equation**, one algebraic relation per collocation station: $\sum_n A_n \sin(n\theta)\left[\frac{4b}{a_0\,c(\theta)} + \frac{n}{\sin\theta}\right] = \alpha(\theta) - \alpha_{L0}(\theta)$ The bracket is the whole of the physics in one line: the first term is the section's own appetite for lift (chord and lift slope), the second is the downwash the rest of the wing forces on it. For a wing symmetric in both planform and twist only the odd harmonics survive; the sim carries twelve of them (n = 1, 3, … 23) and solves the resulting 12 × 12 system by Gaussian elimination every time you move a slider. The results are $C_L = \pi\,AR\,A_1, \qquad C_{Di} = \pi\,AR\sum_n n A_n^2$ ### Induced drag: the lift vector tilts Here is the payoff. Lift is *defined* perpendicular to the local relative wind. The trailing vortices have tilted that wind down by α<sub>i</sub>, so the local lift vector is tilted back by α<sub>i</sub> from the vertical, and it has a streamwise component: $D_i = L\sin\alpha_i \approx L\,\alpha_i$ That is the green arrow and the red arrow in the microsim's force triangle, drawn against a dashed true vertical. It is *the same vector*, decomposed. Integrating along the span and collecting the Fourier coefficients gives the relation printed live in the HUD: $\boxed{\;C_{Di} = \frac{C_L^{\,2}}{\pi\,AR\,e}\;}$ where AR = b²/S is the **aspect ratio** and e the **span efficiency factor**, e = 1/(1 + δ) with δ = Σ<sub>n>1</sub> n(A<sub>n</sub>/A₁)². The quadratic dependence on C<sub>L</sub> is why induced drag dominates at low speed — slow down and you must fly at higher C<sub>L</sub>, and the penalty grows as its square. It is the whole reason the drag polar of an aeroplane is a bucket rather than a monotone curve, and why every aircraft has a best-glide and a minimum-sink speed. ### Aspect ratio, and why gliders look like that δ vanishes and e = 1 when the loading is **elliptical**, Γ(y) = Γ₀√(1 − (2y/b)²). Munk showed in 1921–23 that among all planar wings of a given span and lift, elliptical loading is the unique minimum-induced-drag distribution; it is also the one that produces uniform downwash across the whole span. With e = 1, α<sub>i</sub> = C<sub>L</sub>/(πAR) everywhere and C<sub>Di</sub> = C<sub>L</sub>²/(πAR). The 1/AR is the headline. Double the aspect ratio at fixed area and lift and you halve the induced drag. Physically: a long span works on a wider tube of air, so it can produce the same downward momentum flux with a smaller downward velocity, and the wasted kinetic energy left in the wake — which is what induced drag *is*, in energy terms — falls accordingly. This is why the aspect ratios of real aircraft track their missions almost perfectly: | Aircraft | Approximate AR | Why | | --- | --- | --- | | Concorde | 1.8 | supersonic wave drag dominates; slender delta | | Lockheed F-104 | 2.5 | supersonic, minimal span | | Cessna 172 | 7.5 | general-purpose light aircraft | | Boeing 787-9 | 9.6 | long-range efficiency within gate-span limits | | Lockheed U-2 | 10.6 | extreme-altitude endurance | | Wandering albatross | ~15 | dynamic soaring | | Open-class sailplane | 30–38 | maximise glide ratio, nothing else matters | Set the microsim's aspect-ratio slider to 3 and then to 26 and watch three things change at once: the tip vortices go from violent, tightly rolled spirals to barely-curling threads; the downwash arrows under the wing shrink; and C<sub>Di</sub> falls by an order of magnitude while the lift-to-drag ratio roughly triples. Note also that the wing's *lift slope* falls with decreasing aspect ratio — at AR 7.5 the finite wing produces only about 78% of the two-dimensional lift at the same geometric angle, which is what the "compare infinite (2-D) wing" toggle makes explicit with a second, longer lift arrow and no drag component at all. ### Taper, twist, and the elliptical ideal An elliptical *planform* produces elliptical loading, which is why the Spitfire's wing looks the way it does — but elliptical planforms are expensive to build. A straight taper gets most of the way there for a fraction of the cost. The microsim's taper slider shows the classical result directly: for an untwisted wing of aspect ratio 8, δ is smallest near λ ≈ 0.35–0.40, where e reaches about 0.99, and rises to roughly 0.94 for a rectangular wing (λ = 1) and back up again for very sharp tapers. This is Glauert's curve, recomputed live. Taper has a second consequence the wing's colour map exposes. Colour is the *section* lift coefficient c<sub>l</sub>, not the load. On a rectangular wing c<sub>l</sub> peaks at the root; on a sharply tapered one it peaks well outboard, because the chord shrinks faster than the load does. A wing whose c<sub>l</sub> peaks near the tip stalls at the tip first — and since the ailerons live there, that is a roll departure at exactly the moment you least want one. **Washout** — building the wing with the tips at a lower incidence than the root — is the standard fix, and the sim's twist slider shows both sides of the bargain honestly. Add washout and the outboard c<sub>l</sub> falls, keeping the tips flying after the root has let go; but the loading moves away from elliptical, e drops, and C<sub>Di</sub> rises. There is no free lunch, only a designer's choice between cruise efficiency and stall behaviour. At large washout and moderate angle of attack the tips can even carry *negative* lift, which the sim draws in violet and which drags e down sharply — a twisted wing still has induced drag at zero total lift, because the loading is not zero, merely balanced. ### What the wake becomes The tip vortices are not an abstraction. They persist for minutes and for kilometres behind a large aircraft, sink under their mutual induction, and carry enough rolling moment to invert a light aeroplane that flies into them. That is why air traffic control imposes **wake turbulence separation minima** — several nautical miles between a heavy leader and a lighter follower — and why the wake categories exist at all. The same field, used deliberately, is a benefit. Outboard of each tip the induced velocity is *upwards*, so a bird or an aircraft flying there sits in a rising airstream and needs less thrust. This is the accepted explanation for V-formation flight, and instrumented birds have confirmed both the position-keeping and the wing-beat phasing it implies. The microsim's Trefftz-plane grid shows the sign change directly: blue arrows pointing down between the tips, orange arrows pointing up beyond them. The wake is also why **winglets** work. Induced drag depends on the *far-field* loading, so a non-planar system — anything that spreads the shed vorticity over a taller vertical extent — beats the planar limit for the same physical span. Cone laid out the theory in 1962; Whitcomb's 1976 wind-tunnel study measured roughly a 20% induced-drag reduction from tip-mounted winglets. The sim models only planar wings, but it makes clear exactly which term a winglet attacks. ## Controls -> what each maps to | Control | Symbol | Range | Units | What it does physically | | --- | --- | --- | --- | --- | | Angle of attack | α (at the root) | −4 … 16 | degrees | Sets the right-hand side of the monoplane equation, and so C<sub>L</sub>. Because C<sub>Di</sub> ∝ C<sub>L</sub>², it is also the dominant control on induced drag. Beyond about 15° the linear theory is invalid; the HUD says so when any section exceeds c<sub>l</sub> = 1.5. | | Aspect ratio | AR = b²/S | 2 … 30 | — | Stretches the span at **fixed** area (16.2 m², a Cessna 172 wing), so the chord shrinks as the span grows. Drives α<sub>i</sub> ∝ 1/AR, C<sub>Di</sub> ∝ 1/AR, the strength and roll-up rate of the tip vortices, and the 3-D lift slope. Below AR ≈ 4 lifting-line theory itself starts to fail and the HUD warns. | | Taper ratio | λ = c<sub>tip</sub>/c<sub>root</sub> | 0.2 … 1.0 | — | Reshapes the chord distribution c(y) = c<sub>root</sub>[1 − (1−λ)|2y/b|]. Moves the loading towards or away from the equal-lift ellipse, changing δ and hence e; also moves the spanwise peak of section c<sub>l</sub>, which is what decides where the wing stalls first. | | Wing twist (washout) | ε | 0 … 8 | degrees | Linear geometric twist: α(y) = α − ε|2y/b|, tips at lower incidence. Unloads the tips (stall protection) at the cost of a non-elliptic loading, lower e and lower total C<sub>L</sub>. | | Airspeed | V∞ | 20 … 120 | m/s | Does **not** change any coefficient in this incompressible, inviscid model — it scales the dynamic pressure q = ½ρV∞², and therefore the actual forces. The HUD reports lift in kilonewtons and the mass it would support. It also sets the speed of the wake tracers. | | Trailing vortex sheet | — | on/off | — | Shows or hides the rolled-up sheet, the streamwise filaments, the cross-flow ribs, the wake tracers and the Trefftz-plane crossflow grid. Turning it off leaves the wing, the load comb and the downwash arrows, which is the clearest view of the loading itself. | | Compare infinite (2-D) wing | — | on/off | — | Extends the wing outboard with fading ghost panels and adds a second, yellow lift arrow drawn to the same scale: the two-dimensional value C<sub>L,2D</sub> = 2πα, pointing exactly vertically with **no** drag component. The length difference is the finite-span lift loss; the missing red arrow is the induced drag that a 2-D picture cannot produce. | | Animate wake tracers | — | on/off | — | Motion toggle. Defaults to *off* when the browser reports `prefers-reduced-motion: reduce`. | | Reset | — | button | — | Restores all defaults and re-frames the camera. | Live HUD readout: **C<sub>L</sub>**, **C<sub>Di</sub>**, **AR**, **e**, **α** in degrees and **L/D**, above the live equation C<sub>Di</sub> = C<sub>L</sub>²/(π·AR·e) with the numbers substituted. The fold adds span and chord in metres, dynamic pressure, lift in kilonewtons and the mass it holds, induced drag in newtons, C<sub>L</sub>/C<sub>Di</sub>, the local induced angle, δ, the 2-D and 3-D lift slopes, the peak section c<sub>l</sub> and its spanwise station, and the estimated distance for the wake to finish rolling up. ## Learning objective **Understand that on a finite wing, lift and induced drag are one force vector, not two independent phenomena — and that the trailing vortex system is the thing that separates them.** A learner who has used this sim should be able to state, without hand-waving: that lift comes from bound circulation via L′ = ρV∞Γ; that Helmholtz's theorems make a trailing vortex sheet compulsory the instant the span becomes finite; that the sheet's downwash tilts the local relative wind and therefore the lift vector; that the rearward component of that same vector is induced drag, C<sub>Di</sub> = C<sub>L</sub>²/(πARe); that aspect ratio is the dominant design lever on it; and that "equal transit time" is false while "Bernoulli versus Newton" is not a real disagreement. ## Limits and connections This is Prandtl's lifting-line theory, and its assumptions should be stated plainly. - **It is linear and inviscid.** There is no boundary layer, no separation and no stall. Above roughly 15° of effective incidence the real wing departs from these predictions completely; the HUD flags the condition rather than pretending otherwise. - **It assumes a high aspect ratio.** The model replaces the wing with a single bound vortex line and is quantitatively good above AR ≈ 4–5. The slider goes down to 2 so you can see the trend and the warning, not because the numbers there are trustworthy; low-aspect-ratio and delta wings need slender-body or vortex-lattice treatment, and develop leading-edge vortex lift that has no analogue here. - **The wing is planar, unswept and untapered in sweep.** No dihedral, no sweep, no winglets, no fuselage, no tail. Non-planar systems — winglets, box wings, biplanes — beat the planar C<sub>L</sub>²/(πARe) limit for a given span, and that is precisely why they exist. - **Incompressible.** No Prandtl–Glauert correction, no wave drag, no shock. Valid below roughly Mach 0.3; a transport cruising at M 0.85 has an entirely additional drag budget. See [[Sonic_boom]] for what happens at the other end. - **The loading and the roll-up are computed under slightly different assumptions.** The lifting-line solution assumes a flat wake trailing straight downstream; the visualised roll-up then lets that wake deform. Strictly these are inconsistent, since a rolled-up wake induces slightly different velocities at the wing. In practice Munk's stagger theorem means the induced drag depends only on the far-field loading, so the flat-wake loading is a good approximation — but the sim is showing you two models stitched together, not one. - **Section properties are idealised.** Lift slope 2π per radian, zero-lift angle zero (symmetric section). Real sections run about 0.90–0.95 of 2π, and camber shifts α<sub>L0</sub> negative. - **The wake's streamwise axis is compressed about ninefold** so that twelve span-lengths fit in one view, the induced-angle tilt in the force triangle is drawn four times its true size, and the tracers are slowed. Every number in the HUD is unexaggerated; the true roll-up distance is reported there. - **e here is the inviscid span efficiency, not the Oswald factor.** Performance engineers use an *Oswald efficiency* that also absorbs the lift-dependent part of profile drag; for a complete light aeroplane it is typically 0.7–0.85, appreciably lower than the 0.94–0.99 the sim reports for the wing's loading alone. The L/D shown assumes a wing profile-drag coefficient C<sub>D0</sub> = 0.010; a whole light aircraft is nearer 0.03, which is why real light-aircraft L/D peaks around 10–14 rather than the 20–30 shown here for the wing in isolation. The connections run outwards in every direction. [[Aircraft_flight_dynamics]] takes the forces computed here and asks what the aeroplane does with them. [[Glider_(aircraft)]] is the design problem of maximising L/D and nothing else, which is why sailplane aspect ratios are what they are. [[Fuel_economy_in_aircraft]] is the same quadratic drag polar seen from the accountant's chair — the Breguet range equation is L/D multiplied by things the aerodynamicist does not control. [[Helicopter]] solves the identical problem with a rotating wing, and its blades shed the same trailing vortices, which is why blade–vortex interaction is the dominant source of helicopter noise. And [[Airplane]] is where all of it is assembled into something that flies. ## References - Anderson, John D., Jr. *Fundamentals of Aerodynamics*, 6th edition. McGraw-Hill Education, New York, 2017. ISBN 978-1-259-12991-9. Chapter 5 is the standard modern treatment of incompressible flow over finite wings and of lifting-line theory, including the δ-versus-taper curves reproduced by this sim. - Prandtl, Ludwig. "Tragflügeltheorie. I. Mitteilung." *Nachrichten von der Gesellschaft der Wissenschaften zu Göttingen, Mathematisch-Physikalische Klasse*, 1918, pp. 451–477; "II. Mitteilung", 1919, pp. 107–137. The original lifting-line papers. - Prandtl, Ludwig. "Applications of Modern Hydrodynamics to Aeronautics." NACA Report No. 116, National Advisory Committee for Aeronautics, 1923. The English-language presentation of the lifting line and of induced drag. - Munk, Max M. "The Minimum Induced Drag of Aerofoils." NACA Report No. 121, National Advisory Committee for Aeronautics, 1923. Establishes elliptical loading as the minimum-induced-drag distribution and states the stagger theorem. - Glauert, Hermann. *The Elements of Aerofoil and Airscrew Theory*, 2nd edition. Cambridge University Press, Cambridge, 1926 (reissued 1947). The source of the classical induced-drag-factor tables against which the sim's span efficiencies were checked. - Katz, Joseph, and Plotkin, Allen. *Low-Speed Aerodynamics*, 2nd edition. Cambridge Aerospace Series 13, Cambridge University Press, Cambridge, 2001. ISBN 978-0-521-66552-0. Lifting line, vortex lattice and the Trefftz-plane derivation of induced drag, at the level actually implemented here. - McLean, Doug. *Understanding Aerodynamics: Arguing from the Real Physics*. John Wiley & Sons, Chichester, 2013. ISBN 978-1-119-96751-4. The most careful published treatment of why the popular lift explanations fail and why the Bernoulli-versus-Newton framing is a false dichotomy. - Babinsky, Holger. "How do wings work?" *Physics Education*, vol. 38, no. 6, 2003, pp. 497–503. A short, experimentally grounded dismantling of the equal-transit-time story. - NASA Glenn Research Center, "Incorrect Lift Theory #1 (Equal Transit)" and related pages, *Beginner's Guide to Aeronautics*. NASA's own explicit correction of the myth. - Abbott, Ira H., and von Doenhoff, Albert E. *Theory of Wing Sections, Including a Summary of Airfoil Data*. Dover Publications, New York, 1959. ISBN 978-0-486-60586-9. The reference source for section lift slopes and zero-lift angles. - Jacobs, Eastman N.; Ward, Kenneth E.; and Pinkerton, Robert M. "The Characteristics of 78 Related Airfoil Sections from Tests in the Variable-Density Wind Tunnel." NACA Report No. 460, 1933. Measured section lift slopes slightly below the thin-aerofoil value of 2π. - Kaden, H. "Aufwicklung einer unstabilen Unstetigkeitsfläche." *Ingenieur-Archiv*, vol. 2, 1931, pp. 140–168. The self-similar solution for the roll-up of a vortex sheet edge. - Betz, Albert. "Behavior of Vortex Systems." NACA Technical Memorandum No. 713, 1933 (translation of "Verhalten von Wirbelsystemen", *Zeitschrift für angewandte Mathematik und Mechanik*, vol. 12, no. 3, 1932, pp. 164–174). The classical treatment of trailing-sheet roll-up. - Krasny, Robert. "Desingularization of Periodic Vortex Sheet Roll-up." *Journal of Computational Physics*, vol. 65, no. 2, 1986, pp. 292–313. The vortex-blob regularisation used in this sim's roll-up integrator. - Spalart, Philippe R. "Airplane Trailing Vortices." *Annual Review of Fluid Mechanics*, vol. 30, 1998, pp. 107–138. A survey of what the wake actually does, including roll-up distances, decay and hazard. - Rossow, Vernon J. "Lift-Generated Vortex Wakes of Subsonic Transport Aircraft." *Progress in Aerospace Sciences*, vol. 35, no. 6, 1999, pp. 507–660. Exhaustive review of transport-aircraft wake vortices and their hazard. - Cone, Clarence D., Jr. "The Theory of Induced Lift and Minimum Induced Drag of Nonplanar Lifting Systems." NASA Technical Report R-139, 1962. The theoretical basis for beating the planar induced-drag limit. - Whitcomb, Richard T. "A Design Approach and Selected Wind-Tunnel Results at High Subsonic Speeds for Wing-Tip Mounted Winglets." NASA Technical Note D-8260, 1976. The measurements that put winglets on airliners. - Lissaman, P. B. S., and Shollenberger, Carl A. "Formation Flight of Birds." *Science*, vol. 168, no. 3934, 1970, pp. 1003–1005. The upwash-exploitation argument for V-formations. - Portugal, Steven J., et al. "Upwash Exploitation and Downwash Avoidance by Flap Phasing in Ibis Formation Flight." *Nature*, vol. 505, no. 7483, 2014, pp. 399–402. Instrumented birds confirming the wake-field prediction. - International Civil Aviation Organization. *Procedures for Air Navigation Services — Air Traffic Management (PANS-ATM)*, Doc 4444. ICAO, Montréal. The wake-turbulence categories and separation minima that exist because of the vortices in this sim. - Federal Aviation Administration. *Pilot's Handbook of Aeronautical Knowledge*, FAA-H-8083-25. U.S. Department of Transportation. Chapter on the aerodynamics of flight, including the operational treatment of wake turbulence. **On the spine:** [[Aircraft]] · [[Aircraft_flight_dynamics]] · [[Fixed-wing_aircraft]] · [[Helicopter]] · [[Turbojet]] · [[Jet_engine]] · [[Sonic_boom]] · [[Contrail]] · [[Air_traffic_control]] · [[Avionics]] · [[Aviation]]. ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Fixed-wing_aircraft) : [Wikitube](https://en.wikitube.io/wiki/Fixed-wing_aircraft) --- *PORTAL_Aviation three.js batch · 2026-08-05 · sim staged in `_3d_deploy_stage/`.*