Lift-Induced Drag Simulator Back
Aerodynamics Simulator

Lift-Induced Drag Simulator — Wingtip Vortices and L/D Ratio

From lift coefficient CL, aspect ratio AR, Oswald efficiency e and parasite drag CD0, this tool computes the induced drag coefficient CDi, the total drag coefficient CD, the lift-to-drag ratio L/D and the K-factor in real time using Prandtl lifting-line theory. It also draws a top-down wing planform with the tip-vortex schematic and a drag polar with the current operating point and the maximum-L/D tangent so wing design becomes intuitive.

Parameters
Lift coefficient CL
Aspect ratio AR
Oswald efficiency e
Parasite drag CD0

Defaults are CL = 0.80 (typical cruise-climb value), AR = 8 (airliner class), e = 0.85 (typical value) and CD0 = 0.020 (clean configuration). Sailplanes use AR ≈ 20 to 30 and fighters AR ≈ 3 to 4.

Results
Induced drag CDi
Total drag CD
Lift-to-drag ratio L/D
K-factor
Wing planform and tip vortices (top-down)

Blue planform: shape scaled by AR (slender = high AR) / blue-to-white gradient: elliptical lift distribution shaped by e / orange spirals: wingtip vortices (stronger at low e) / green arrows: downwash behind the wing.

Drag polar (CD vs CL diagram)

X axis: total drag coefficient CD / Y axis: lift coefficient CL / blue curve: CD = CD0 + K CL^2 parabola / green dashed: tangent from the origin to the maximum-L/D point / green dot: CL_opt = sqrt(CD0/K) / yellow marker: current operating point (CD, CL).

Theory & Key Formulas

A finite-span wing that generates lift leaks pressure around the tips, forming tip vortices and a downwash behind the wing. The downwash tilts the local lift vector backwards; its streamwise component is the induced drag (Prandtl lifting-line theory, 1918).

Induced drag coefficient:

$$C_{D,i} = \frac{C_L^{\,2}}{\pi \cdot \mathrm{AR} \cdot e} = K\,C_L^{\,2}$$

Total drag (drag polar) and lift-to-drag ratio:

$$C_D = C_{D,0} + C_{D,i},\qquad \frac{L}{D} = \frac{C_L}{C_D}$$

Induced-drag factor K and the maximum-L/D point (set $dC_D/dC_L = 0$ so $C_{D,0} = C_{D,i}$):

$$K = \frac{1}{\pi \cdot \mathrm{AR} \cdot e},\qquad C_{L,\mathrm{opt}} = \sqrt{\frac{C_{D,0}}{K}},\qquad \left(\frac{L}{D}\right)_{\!\max} = \frac{1}{2\sqrt{K \cdot C_{D,0}}}$$

$C_L$ is the lift coefficient, $\mathrm{AR} = b^2/S$ is the aspect ratio (span $b$ squared over planform area $S$), $e$ is the Oswald efficiency (1 for an elliptical distribution, typically 0.7 to 0.9 on real wings), and $C_{D,0}$ is the parasite drag coefficient (form drag plus skin friction). Increasing $C_L$ grows induced drag quadratically, while a higher $\mathrm{AR}$ or higher $e$ reduces it in inverse proportion.

What this simulator does

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Sailplanes have ridiculously long, thin wings. They look structurally weak; why do designers go for such slender wings?
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Good question. The reason is to minimise induced drag. Any finite wing that generates lift leaks pressure around the tips, forming wingtip vortices, and that energy cost is induced drag. The formula is CDi = CL^2 / (pi AR e), inversely proportional to aspect ratio AR. With the defaults of this tool (CL=0.8, AR=8, e=0.85) CDi is about 0.0300, total drag CD about 0.0500 and L/D about 16. Now slide AR from 8 to 20 (sailplane class): CDi collapses to about 0.012 and L/D shoots past 25.
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Wow, AR makes that much difference? Then why do fighters use such short wings? Wouldn't copying sailplanes give better fuel economy?
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That is exactly where wing design gets interesting. A larger AR does improve cruise efficiency, but (1) the root bending moment grows, ballooning the structural weight, (2) the roll inertia goes up, hurting agility, and (3) at supersonic speeds the wing must stay inside the Mach cone or wave drag explodes. F-16 has AR around 3, a delta wing has AR around 2. In this tool, set AR = 3 with CL = 0.8 and CDi jumps to roughly 0.080, pulling L/D down to about 8. Fighters trade cruise efficiency for agility and supersonic performance.
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I had never heard of "Oswald efficiency". Where does the value e ≈ 0.85 come from?
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e measures how close the spanwise lift distribution is to the ideal elliptical loading. Prandtl proved the elliptical distribution minimises induced drag, and that case corresponds to e = 1. Real designers adjust e by changing taper and twist; rectangular wings end up around 0.7, a well-tuned swept wing reaches 0.85 to 0.95, and the Spitfire's elliptical wing hit 0.95 or higher. Slide e from 0.50 to 1.00 in this tool and you see CDi roughly halve, while the tip-vortex spirals visibly thin out.
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On the drag polar, the green dot (max L/D) and the yellow current marker do not coincide. Does that mean cruise is not optimal?
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Sharp eye. Maximum L/D is reached at CL_opt = sqrt(CD0/K), the tangent point from the origin to the drag polar. With the defaults you get CL_opt around 0.654 and (L/D)_max around 17.7. Cruising at a higher CL (low-speed, high-lift) wastes energy as induced drag; cruising at a lower CL (high speed) gives parasite drag the upper hand. Real aircraft cruise near CL_opt, what pilots call the "maximum-range speed" or "best glide speed". Slide CL to about 0.654 in this tool and the yellow marker lands on the green dot, with L/D peaking.

Frequently asked questions

Lift-induced drag CDi is the drag that a finite-span wing pays for generating lift, corresponding to the energy spent on wingtip vortices. From Prandtl lifting-line theory CDi = CL^2 / (pi AR e), proportional to the square of the lift coefficient CL and inversely proportional to the aspect ratio AR and Oswald efficiency e. With the defaults of this tool (CL=0.8, AR=8, e=0.85) CDi is about 0.0300; doubling AR from 8 to 16 halves the induced drag. This is the physical reason why sailplanes and high-efficiency airliners have very long, slender wings.
The Oswald efficiency factor e is a dimensionless number (0 < e ≤ 1) that measures how close the wing's lift distribution is to the ideal elliptical distribution. An elliptical loading gives the minimum induced drag and corresponds to e = 1, as on the iconic Spitfire elliptical wing. Real wings achieve e ≈ 0.7 to 0.9: about 0.7 for a rectangular wing, 0.85 to 0.95 for a well-designed swept wing, 0.85 to 0.90 for a winglet-equipped airliner, and 0.95 to 1.0 for a pure elliptical wing. Sliding e from 0.50 to 1.00 in this tool changes the induced drag by roughly a factor of two.
Aspect ratio AR = b^2 / S (span squared over wing area) measures how slender the wing is; a higher AR makes the tip-vortex region smaller relative to the wing, so the induced drag scales as 1/AR. Typical values are AR ≈ 20 to 30 for sailplanes, 9 to 11 for airliners (B787, A350), 3 to 4 for fighters (F-16) and around 2 for delta wings. Sliding AR from 3 to 30 in this tool shows a dramatic change in induced drag at low-speed, high-lift conditions: this is why sailplanes use very long wings. The downside is heavier structure and larger root bending moments, so each application has its own optimum.
Differentiating total drag CD = CD0 + K CL^2 to maximise L/D = CL/CD gives the optimum lift coefficient CL_opt = sqrt(CD0/K) and the maximum lift-to-drag ratio (L/D)_max = 1 / (2 sqrt(K CD0)). This is the condition where parasite drag equals induced drag, which is also the point of maximum cruise efficiency. With the defaults of this tool (CD0=0.020, AR=8, e=0.85) we get CL_opt ≈ 0.654 and (L/D)_max ≈ 16.4. Real machines reach L/D ≈ 40 to 70 for sailplanes, 17 to 20 for airliners and 8 to 12 for fighters. The maximum-L/D point is the tangent from the origin to the drag polar.

Real-world applications

Airliner fuel economy and winglets: on long-haul international flights (B787, A350) 9 to 12% of the energy budget goes to induced drag, which is why aspect ratios sit between 9 and 11. Adding tip winglets up to about 2.5 m tall pushes effective Oswald efficiency from 0.80 to roughly 0.88 and cuts fuel burn by 3 to 5%. Compare AR=10 with e=0.80 and then e=0.88 in this tool: the 10% change in CDi flows directly into fuel burn. With annual fuel costs of around USD 20 million per aircraft, even a 1% reduction is worth hundreds of thousands of dollars, which is the economic case for retrofitting winglets onto modern fleets.

Sailplane competition and glide ratio: competitive sailplanes (DG-1000, ASW-27) reach AR ≈ 25 to 30 and e ≈ 0.95, with glide ratios L/D ≈ 50 to 70. Set AR=28, e=0.95, CD0=0.012 and CL=0.7 here and you reproduce L/D ≈ 50: that means dropping 1 km of altitude buys 50 km of horizontal distance, allowing 1000 km closed-course tasks in a single day. Sailplane pilots memorise the best-glide speed corresponding to CL_opt for each ship and follow it closely between thermals.

Fighters and the agility trade-off: the F-16 (AR=3.2), F-22 (AR=2.4) and delta-wing Mirage 2000 (AR=2.0) deliberately choose low aspect ratios for (1) lighter structure thanks to smaller root bending moments, (2) low roll inertia for high roll rates, and (3) keeping the wing inside the Mach cone to avoid wave drag at supersonic speeds. Set AR=3 and CL=1.2 in this tool and induced drag climbs to about 0.18, but very high CL is precisely what lets fighters pull tight instantaneous turns. In dogfights instantaneous agility outweighs cruise efficiency.

UAVs and solar-powered HALE designs: solar UAVs such as Airbus Zephyr (AR ≈ 30) and the NASA Helios (AR ≈ 31) take aspect ratio to extremes to minimise induced drag for high-altitude, long-endurance flight. Helios had a 75 m span and flew for 14 hours on solar power alone. Set AR=30, e=0.92 and CD0=0.015 in this tool and L/D exceeds 30, slashing the required propulsion power. The flip side is poor gust response: Helios disintegrated in turbulence in 2003. Balancing aspect ratio against structural strength remains a core UAV-design challenge.

Common misconceptions and caveats

The most common misconception is to assume "a wing's drag is dominated by skin friction and form drag". In reality, induced drag can account for 30 to 50% of the total drag at low-speed, high-lift conditions even on a perfectly streamlined wing. For a typical airliner just after takeoff (CL=1.5, AR=10, e=0.85), CDi = 1.5^2 / (pi * 10 * 0.85) is about 0.084, more than three times the parasite drag CD0 around 0.025. Slide CL from 0.4 to 1.5 in this tool and you see CDi overtake CD0 dramatically. That is the physical reason takeoff is the most fuel-hungry flight phase.

Another widespread misunderstanding is that "winglets always save fuel". Winglets add wetted area, which increases skin friction (parasite drag). On short-range, low-altitude operations the cruise CL is low enough that the parasite penalty can outweigh the induced-drag benefit, so some short-haul fleets fly without winglets. A Boeing 737-800 typically cruises at CL ≈ 0.5 to 0.7 and gains about 4% in fuel burn from winglets on long sectors; short hops gain less. Step CD0 from 0.020 to 0.022 and e from 0.80 to 0.85 in this tool and you see how the L/D improvement depends on the CL range you actually fly.

The third pitfall is to dismiss Prandtl theory as old-fashioned. Lifting-line theory is still the workhorse for preliminary aircraft design, baked into CFD packages such as OpenFOAM, ANSYS Fluent and STAR-CCM+ as a first-pass check. Errors are typically below 5 to 10%, more than enough for sizing and teaching. Full CFD adds spanwise loading optimisation, stall behaviour, transonic compressibility and separated-vortex effects, but initial sizing always starts with Prandtl. This tool is paraxial, inviscid and linear: it does not capture stall (typically CL above about 1.5), compressibility (Mach above about 0.7), or interference effects from biplanes or canards. Pair it with XFLR5, AVL or a full CFD solver for those regimes.