This page is a worked-example gym for the Blasius solution . The parent note built the theory; here we drill it against every kind of situation the exam (or reality) can hand you. If a symbol here feels new, it was defined in the parent — but we re-anchor the essentials as we go so you never stall.
Intuition What all these problems share
Every Blasius question is secretly ONE question asked four ways: "how thick is the slow zone, how hard does it drag, at what speed, at what place?" All four hang off a single dimensionless number, the Reynolds number R e x = U ∞ x / ν (see Reynolds Number ). Get R e x first, and every other number falls out by multiplication. Think of R e x as the master dial .
Before we compute anything, pin down the four workhorses from the parent, with their plain meaning:
Definition Two viscosities, and how they relate
There are two "stickiness" numbers, and problems mix them freely:
ν — kinematic viscosity (m²/s), used inside R e .
μ — dynamic viscosity (Pa·s = kg/(m·s)), the one that multiplies a velocity gradient to give a stress .
They are tied by density: μ = ρ ν . For our house air, μ = 1.2 × 1.5 × 1 0 − 5 = 1.8 × 1 0 − 5 Pa⋅s . Whenever you see μ below, it just means ρ ν .
We need one more idea from the parent before Example 7 (which peeks inside the layer). The parent showed that the velocity profile looks identical at every x once you measure height the clever way:
Definition Similarity coordinate
η and profile function f
η = y U ∞ / ( ν x ) — the stretched wall-distance . It's the real height y rescaled so that one universal curve fits every x . At the wall η = 0 ; the layer effectively ends by η ≈ 5 .
f ( η ) — a dimensionless helper (the scaled stream function) whose slope carries the velocity.
f ′ ( η ) — its slope, and f ′ ( η ) = u / U ∞ , the velocity ratio . So f ′ = 0 at the wall (no-slip) and f ′ → 1 far out (free stream).
These come from the numerically-solved Blasius equation (parent note). We only need two read-offs from that table: at η ≈ 1.6 , f ′ ≈ 0.5 and f ≈ 0.65 ; and f ′ = 0.99 at η ≈ 5.0 . To turn an η back into a real height, invert the definition: y = η ν x / U ∞ .
Every Blasius problem lands in one of these cells. The examples below are labelled with the cell(s) they hit — together they cover the whole grid.
Cell
What varies / degenerate input
Question type
Example
A
Standard interior point, laminar
Find δ
Ex 1
B
Same point
Find τ w (local force)
Ex 2
C
Whole plate
Find total drag F D
Ex 3
D
Limit x → 0 (leading edge)
Degenerate: δ → 0 , τ w → ∞
Ex 4
E
Ratio / scaling — change x or U ∞ , no numbers
How does δ , τ w respond?
Ex 5
F
Boundary of validity : R e x near 5 × 1 0 5
Is Blasius even allowed? Find transition x
Ex 6
G
Inside the layer — a specific y , or find v
Profile / vertical velocity ≠ 0
Ex 7
H
Real-world word problem (different fluid: water)
Full pipeline
Ex 8
I
Exam twist: work backwards from a measured drag
Inverse problem
Ex 9
We'll use one recurring "house" flow so numbers stay familiar: air , ν = 1.5 × 1 0 − 5 m 2 / s , ρ = 1.2 kg/m 3 , unless a problem says otherwise.
Air (ν = 1.5 × 1 0 − 5 m 2 / s ) at U ∞ = 10 m/s over a flat plate. Find δ at x = 0.5 m .
Forecast: Guess the layer thickness — millimetres, centimetres, or metres? (Boundary layers are famously thin .)
Step 1 — Reynolds number. R e x = ν U ∞ x = 1.5 × 1 0 − 5 10 × 0.5 = 3.33 × 1 0 5 .
Why this step? R e x is the master dial; nothing else can be computed without it, and it also tells us whether Blasius is even legal (need R e x ≲ 5 × 1 0 5 ). Here 3.33 × 1 0 5 < 5 × 1 0 5 ✓ laminar.
Step 2 — plug into δ . δ = R e x 5.0 x = 3.33 × 1 0 5 5.0 × 0.5 = 577 2.5 = 4.3 × 1 0 − 3 m .
Why this step? The boxed formula converts the master dial into a physical length.
Verify: 4.3 mm over half a metre of plate — a slow-zone one part in 116 of the distance travelled. Thin, as forecast ✓. Units: dimensionless m = m ✓.
Same air, same U ∞ = 10 m/s . Find the wall shear stress τ w at x = 0.5 m .
Forecast: Air is light. Will the drag pressure be a big fraction of atmospheric (1 0 5 Pa) or tiny?
Step 1 — local friction coefficient. C f = R e x 0.664 = 577 0.664 = 1.15 × 1 0 − 3 .
Why this step? C f is dimensionless and depends only on the master dial — compute it first, un-normalize later. This separates "shape of the physics" from "size of the numbers."
Step 2 — un-normalize with dynamic pressure. τ w = C f ⋅ 2 1 ρ U ∞ 2 = 1.15 × 1 0 − 3 × 2 1 × 1.2 × 1 0 2 = 0.069 Pa .
Why this step? 2 1 ρ U ∞ 2 is the natural pressure scale of the flow; multiplying restores real units of force-per-area.
Verify: 0.069 Pa vs atmospheric ∼ 1 0 5 Pa — utterly tiny, as forecast (air drag is gentle) ✓. Units: dimensionless × kg/m 3 × ( m/s ) 2 = kg / ( m⋅s 2 ) = Pa ✓.
Plate length L = 0.5 m , width b = 0.2 m , same air, U ∞ = 10 m/s . Find the drag on one side .
Forecast: A tiny stress over a small area — will the force be newtons, or a small fraction of a newton?
Step 1 — averaged drag coefficient. R e L = 1.5 × 1 0 − 5 10 × 0.5 = 3.33 × 1 0 5 , so C D = R e L 1.328 = 577 1.328 = 2.30 × 1 0 − 3 .
Why this step? Local τ w is largest at the leading edge and decays as 1/ x , so we can't just multiply one point's stress by area. C D is the average of C f over the plate. Where does the factor 2 come from? Average C f means L 1 ∫ 0 L C f d x , and since C f ∝ x − 1/2 , the integral ∫ 0 L x − 1/2 d x = 2 L , so the average is L 2 L × ( value at L ) / L − 1 — carrying the constants through gives exactly C ˉ f = 2 C f ( L ) . Hence C D = 2 C f ( L ) .
Step 2 — un-normalize over the wetted area. F D = C D ⋅ 2 1 ρ U ∞ 2 ⋅ ( b L ) = 2.30 × 1 0 − 3 × 60 × 0.1 = 0.0138 N .
Why this step? Same pressure scale as before, now multiplied by the plate area b L = 0.1 m 2 that the fluid actually rubs.
Verify: 0.0138 N ≈ 1.4 grams-force — feather-light, matching the tiny τ w ✓. Cross-check: C D = 2 C f = 2 × 1.15 × 1 0 − 3 = 2.30 × 1 0 − 3 ✓.
Same air and speed. What happens to δ and τ w as x → 0 (right at the leading edge)? Evaluate the trend at x = 0.5 m , x = 0.05 m , x = 0.005 m . (Recall μ = ρ ν = 1.8 × 1 0 − 5 Pa⋅s , defined above.)
Forecast: The plate just started dragging the fluid. Is the layer thickest or thinnest here — and is the drag mildest or fiercest?
Step 1 — write both as pure powers of x . Start from the boxed δ = 5.0 x / R e x and substitute R e x = U ∞ x / ν :
δ = U ∞ x / ν 5.0 x = 5.0 x U ∞ x ν = 5.0 U ∞ x ν x 2 = 5.0 U ∞ ν x ∝ x 1/2 .
Likewise, from the μ -form derived above, τ w = 0.332 μ U ∞ U ∞ / ( ν x ) ∝ x − 1/2 .
Why this step? Pushing the lone x inside the square-root exposes the degenerate behaviour : one grows from zero, the other blows up.
Step 2 — tabulate the trend.
x (m)
δ = 5.0 ν x / U ∞ (mm)
τ w = 0.332 μ U ∞ U ∞ / ν x (Pa)
0.5
4.33
0.069
0.05
1.37
0.218
0.005
0.433
0.690
Why this step? Shrinking x tenfold shrinks δ by 10 ≈ 3.16 and grows τ w by the same factor — the two mirror each other.
Step 3 — take the limit. As x → 0 + : δ → 0 and τ w → + ∞ .
Why this step? This is the leading-edge singularity : the model predicts infinite shear at x = 0 . It's not physical — the thin-layer assumption δ ≪ x breaks when δ ∼ x — but it correctly warns you the leading edge is where drag concentrates.
Verify: δ scales as x (÷10 in x ⇒ ÷3.16 in δ : 4.33/3.16 = 1.37 ✓), τ w as 1/ x (÷10 in x ⇒ ×3.16 in τ w : 0.069 × 3.16 = 0.218 ✓). The singularity is a genuine feature of the boxed formulas.
The figure below plots exactly this table as two curves so you can see the mirror-image trends and the blow-up at the origin.
Worked example Figure — Cell D trends
Blue (left axis): δ ∝ x rises from zero — the layer starts as nothing at the leading edge and thickens ever more slowly. Orange (right axis): τ w ∝ 1/ x dives toward the vertical axis — the shear is fiercest right at the leading edge and fades downstream. The three blue dots are the three tabulated x -values. Study how the two curves are reflections: where one shrinks, the other grows.
A plate is tested at U ∞ . Then the speed is quadrupled to 4 U ∞ , same fluid, same point x . By what factor does (a) δ change, (b) τ w change, (c) total drag F D change?
Forecast: Faster flow — thinner or thicker layer? More or less drag, and by how much?
Step 1 — read the exponents. δ ∝ U ∞ − 1/2 (from δ = 5.0 ν x / U ∞ ), so δ changes by 4 − 1/2 = 2 1 .
Why this step? We only need how each quantity depends on U ∞ ; the constants cancel in a ratio. Faster free stream ⇒ inertia wins more ⇒ thinner layer.
Step 2 — shear stress. τ w = 0.332 μ U ∞ U ∞ / ( ν x ) ∝ U ∞ 3/2 , so it changes by 4 3/2 = 8 .
Why this step? One power of U ∞ from momentum flux, half a power from the steeper wall gradient — together U ∞ 3/2 .
Step 3 — total drag. First note R e L = U ∞ L / ν ∝ U ∞ (from the definition, with L , ν fixed). So C D = 1.328/ R e L ∝ R e L − 1/2 ∝ U ∞ − 1/2 . Then F D ∝ C D U ∞ 2 ∝ U ∞ − 1/2 U ∞ 2 = U ∞ 3/2 , so F D changes by 4 3/2 = 8 .
Why this step? The hidden speed-dependence lives inside C D through R e L ∝ U ∞ ; only after exposing it do the powers add correctly. F D and τ w end up sharing the same U ∞ 3/2 law.
Verify: δ : × 0.5 ; τ w : × 8 ; F D : × 8 . Sanity: δ down means gradient steeper ⇒ more shear ⇒ consistent that τ w rose ✓. Numerically 4 − 0.5 = 0.5 , 4 1.5 = 8 ✓.
Same air, U ∞ = 10 m/s . At what distance x tr does the flow reach the transition Reynolds number R e x , crit = 5 × 1 0 5 ? Beyond it, is δ = 5.0 x / R e x valid?
Forecast: Guess: a few centimetres, tens of centimetres, or metres before turbulence sets in?
Step 1 — invert the Reynolds definition. R e x = U ∞ x / ν ⇒ x tr = U ∞ R e x , crit ν = 10 5 × 1 0 5 × 1.5 × 1 0 − 5 = 0.75 m .
Why this step? The validity boundary is stated as a Reynolds number , so convert it into a distance you can measure on the plate.
Step 2 — verdict on the formula. For x > 0.75 m the flow is turbulent; the Blasius δ = 5.0 x / R e x no longer applies . Use the turbulent estimate δ / x ≈ 0.37 R e x − 1/5 instead (see Turbulent Boundary Layer ).
Why this step? Blasius is a laminar solution — applying it past transition over-predicts the wrong power law (x vs x 4/5 ).
Verify: At x = 0.5 m (Ex 1) we had R e x = 3.33 × 1 0 5 < 5 × 1 0 5 , safely laminar — consistent, since 0.5 < 0.75 m ✓. Recompute: 0.75 × 10/1.5 × 1 0 − 5 = 5 × 1 0 5 ✓.
Same air, U ∞ = 10 m/s , at x = 0.5 m . (a) At what height y is the velocity half the free stream, u = 5 m/s ? (b) Show the vertical velocity v there is not zero. Use the Blasius read-offs defined above: f ′ = 0.5 at η ≈ 1.6 , and there f ≈ 0.65 .
Forecast: Half-speed height — is it near the wall, mid-layer, or near the top of the 4.3 mm layer?
Step 1 — convert η back to y . Recall (from the definition block) η = y U ∞ / ( ν x ) , so y = η ν x / U ∞ . The scale ν x / U ∞ = 1.5 × 1 0 − 5 × 0.5/10 = 8.66 × 1 0 − 4 m . Then y = 1.6 × 8.66 × 1 0 − 4 = 1.39 × 1 0 − 3 m .
Why this step? η is the "clever stretched height" that makes the profile universal; we must un-stretch it to get a real millimetre reading. Because f ′ ( η ) = u / U ∞ , the value f ′ = 0.5 marks exactly where u = 5 m/s .
Step 2 — locate it in the layer. δ = 4.33 mm (Ex 1), and y = 1.39 mm , so half-speed sits at y / δ = 0.32 — about a third of the way up.
Why this step? Confirms the profile is steep near the wall : you reach half speed after only a third of the height, then crawl the rest of the way to 0.99 U ∞ .
Step 3 — vertical velocity is nonzero. The parent's formula is v = 2 1 ν U ∞ / x ( η f ′ − f ) . Plug in: the root is 1.5 × 1 0 − 5 × 10/0.5 = 3 × 1 0 − 4 = 1.73 × 1 0 − 2 , and ( η f ′ − f ) = ( 1.6 × 0.5 − 0.65 ) = ( 0.8 − 0.65 ) = 0.15 . So v = 0.5 × 1.73 × 1 0 − 2 × 0.15 = 1.30 × 1 0 − 3 m/s .
Why this step? Continuity forces fluid upward as the layer thickens — a real, if tiny, v > 0 . Ignoring it (a common mistake) breaks mass conservation.
Verify: y = 1.39 mm lies inside δ = 4.33 mm ✓ (as it must). v = 1.30 × 1 0 − 3 m/s is ∼ 1 0 − 4 of U ∞ — small but strictly positive ✓. Units of v : m 2 / s 2 = m/s ✓.
The figure shows the full universal profile so you can see why half-speed lands so low.
Worked example Figure — Cell G universal profile
Blue curve : the Blasius profile f ′ ( η ) = u / U ∞ plotted against real height y (mm) at x = 0.5 m . Red arrow at the origin: no-slip, u = 0 at the wall. Orange dot : the half-speed point, sitting at only y ≈ 1.4 mm — about a third of the way up. Green dashed line : the edge of the layer, δ (where u = 0.99 U ∞ ). Notice how steep the curve is near the wall and how it flattens as it approaches the free stream — that steepness is the wall shear.
A ship model panel runs through water (ν = 1.0 × 1 0 − 6 m 2 / s , ρ = 1000 kg/m 3 ) at U ∞ = 2 m/s . Panel: L = 0.3 m , width b = 0.5 m . Find (a) δ at the trailing edge, (b) drag on one side. Check laminar validity.
Forecast: Water is 15× less viscous (kinematically) than our air and much denser. Thinner or thicker layer than air? Bigger or smaller drag?
Step 1 — Reynolds & validity. R e L = 1.0 × 1 0 − 6 2 × 0.3 = 6.0 × 1 0 5 .
Why this step? Master dial first; and 6.0 × 1 0 5 > 5 × 1 0 5 , so strictly it's just past laminar transition — Blasius gives an estimate only. We proceed as a first approximation and flag it.
Step 2 — thickness. δ = 6.0 × 1 0 5 5.0 × 0.3 = 775 1.5 = 1.94 × 1 0 − 3 m .
Why this step? Same boxed formula; low ν ⇒ high R e ⇒ thin layer (≈1.9 mm, thinner than air's 4.3 mm relative to length).
Step 3 — drag. C D = 6.0 × 1 0 5 1.328 = 1.71 × 1 0 − 3 . Then F D = C D ⋅ 2 1 ρ U ∞ 2 ⋅ b L = 1.71 × 1 0 − 3 × 2 1 × 1000 × 4 × 0.15 = 0.514 N .
Why this step? Water's density is ~800× air's, so despite the small C D , the force is now sizeable (half a newton, not milli-newtons).
Verify: 2 1 ρ U ∞ 2 = 2000 Pa ; b L = 0.15 m 2 ; 2000 × 0.15 = 300 N × 1.71 × 1 0 − 3 = 0.514 N ✓. Dense fluid ⇒ big drag, as forecast ✓. Caveat noted: R e L slightly above 5 × 1 0 5 , so treat as an upper-ballpark laminar estimate.
In a wind tunnel, a plate (L = 1.0 m , b = 0.4 m , air ν = 1.5 × 1 0 − 5 , ρ = 1.2 ) records a one-sided drag of F D = 0.02 N . Find the flow speed U ∞ . (Assume laminar Blasius.)
Forecast: Inverse problem — we know the force, want the cause. Will U ∞ come out a few m/s or tens of m/s?
Step 1 — write F D fully in terms of U ∞ . F D = C D ⋅ 2 1 ρ U ∞ 2 ⋅ b L = U ∞ L / ν 1.328 ⋅ 2 1 ρ U ∞ 2 b L .
Why this step? We can't isolate U ∞ until every hidden U ∞ (inside C D too, via R e L = U ∞ L / ν !) is on the page — the classic trap is forgetting C D depends on speed.
Step 2 — collect the power of U ∞ . C D ∝ U ∞ − 1/2 and the dynamic pressure ∝ U ∞ 2 , so F D ∝ U ∞ 3/2 . Explicitly:
F D = 1.328 L ν ⋅ 2 1 ρ b L U ∞ 3/2 = 0.664 ρ b ν L U ∞ 3/2 .
Why this step? Reducing to a single power U ∞ 3/2 makes the inversion a clean root-type solve.
Step 3 — solve for U ∞ . The prefactor K = 0.664 × 1.2 × 0.4 × 1.5 × 1 0 − 5 × 1.0 = 0.664 × 1.2 × 0.4 × 3.873 × 1 0 − 3 = 1.234 × 1 0 − 3 . Then U ∞ 3/2 = F D / K = 0.02/1.234 × 1 0 − 3 = 16.21 , so U ∞ = 16.2 1 2/3 = 6.42 m/s .
Why this step? Raise both sides to the 2/3 power to undo the 3/2 exponent — the algebraic inverse of the physics.
Verify (plug forward): R e L = 6.42 × 1.0/1.5 × 1 0 − 5 = 4.28 × 1 0 5 < 5 × 1 0 5 laminar ✓. C D = 1.328/ 4.28 × 1 0 5 = 2.03 × 1 0 − 3 ; F D = 2.03 × 1 0 − 3 × 2 1 × 1.2 × 6.4 2 2 × 0.4 = 2.03 × 1 0 − 3 × 2 1 × 1.2 × 41.2 × 0.4 = 0.0201 N ≈ 0.02 N ✓. Round-trip closes.
Recall Quick self-test
Which cell blows up at the leading edge, and which quantity? ::: Cell D — τ w → ∞ as x → 0 , while δ → 0 .
If you double U ∞ , by what factor does total drag change? ::: 2 3/2 ≈ 2.83 (drag ∝ U ∞ 3/2 ).
Why must you recompute R e before trusting any Blasius answer? ::: To confirm R e < 5 × 1 0 5 (laminar); above that the x laws fail — see Turbulent Boundary Layer .
In the inverse problem (Cell I), what is the trap? ::: Forgetting that C D itself depends on U ∞ (through R e L ∝ U ∞ ), giving F D ∝ U ∞ 3/2 , not U ∞ 2 .
How do μ and ν relate? ::: μ = ρ ν (dynamic = density × kinematic).
Mnemonic The scaling ladder
Speed up by 4 ⇒ layer halves, shear ×8, drag ×8. Because δ ∝ U − 1/2 , τ w ∝ U 3/2 , F D ∝ U 3/2 . Distance: δ ∝ x (grows), τ w ∝ 1/ x (fades).
See also: Prandtl Boundary Layer Theory · Navier–Stokes Equations · Skin Friction Drag · Similarity Solutions in PDEs · Stream Function and Vorticity .