This is the practice deep-dive for the parent note . We built the law τ = μ d y d u there. Here we hammer it against every kind of situation the topic can throw at you — including the weird ones (zero gap, non-linear profile, "it's a solid" traps). Read the matrix first, then do each example after forecasting the answer yourself .
Recall Symbols we will use (all earned in the parent note)
τ ::: shear stress = tangential force per area, units Pa.
μ ::: dynamic viscosity, units Pa·s ("thickness" of the fluid).
d u / d y ::: velocity gradient = how fast the layer speed changes as you go up, units s − 1 .
F t ::: tangential (shear) force, units N.
A ::: contact area, units m 2 .
γ , γ ˙ ::: shear strain (an angle), and its rate of change d u / d y .
Everything about the fluid definition + Newton's viscosity law reduces to these case-classes. Each worked example below is tagged with the cell it fills.
Cell
Case class
What is tricky
Example
A
Linear profile, straight plug-in
nothing — the baseline
Ex 1
B
Recover force / area from τ
multiply back by A
Ex 2
C
Solve for the unknown μ
rearrange the law
Ex 3
D
Static fluid, γ ˙ = 0
answer is zero — degenerate
Ex 4
E
Non-linear velocity profile
must use local slope (derivative)
Ex 5
F
Limiting behaviour: gap → 0
gradient blows up
Ex 6
G
Real-world word problem
translate words to u , y , A , μ
Ex 7
H
Exam twist: solid-vs-fluid decision
is it G γ or μ γ ˙ ?
Ex 8
I
Unit / sanity trap (mm vs m)
convert before dividing
Ex 9
Worked example Straight plug-in
Water film, viscosity μ = 1.0 × 1 0 − 3 Pa·s, gap y = 5 mm , top plate speed u = 0.4 m/s, linear profile. Find τ .
Forecast: water is thin, so expect a small number of pascals.
Step 1 — Convert the gap: y = 5 mm = 0.005 m.
Why this step? The formula's units are SI; mm would give a 1000× error.
Step 2 — Linear profile ⇒ gradient is just (speed)/(gap):
d y d u = 0.005 0.4 = 80 s − 1 .
Why this step? A straight-line profile has constant slope, so d u / d y = rise/run.
Step 3 — Apply Newton's law:
τ = μ d y d u = ( 1.0 × 1 0 − 3 ) ( 80 ) = 0.08 Pa .
Why this step? This is the definition of shear stress for a Newtonian fluid.
Verify: units Pa⋅s × s − 1 = Pa ✓. And 0.08 Pa is tiny — matches "water is thin." ✓
Worked example From stress back to force
The plate in Ex 1 has area A = 0.25 m 2 . What sideways force keeps it moving steadily?
Forecast: stress was tiny, area is under 1 m 2 , so the force is a fraction of a newton.
Step 1 — Use τ = 0.08 Pa from Ex 1.
Why this step? Same film, same conditions — stress is unchanged.
Step 2 — Stress is force per area, so invert: F t = τ A .
F t = 0.08 × 0.25 = 0.02 N .
Why this step? τ = F t / A ⇒ F t = τ A ; multiplying by area undoes the "per area."
Verify: units Pa × m 2 = ( N/m 2 ) × m 2 = N ✓. Steady speed ⇒ this force exactly balances viscous drag (Newton's 1st law). ✓
μ
Dragging a plate of area A = 0.5 m 2 over an unknown oil, gap 2 mm , plate speed 0.3 m/s, requires a measured force F t = 7.5 N. Find μ .
Forecast: oils are "thicker" than water, so expect μ near tenths of Pa·s, not 1 0 − 3 .
Step 1 — Get the stress from the measured force: τ = F t / A = 7.5/0.5 = 15 Pa.
Why this step? We measure force, but the law is written in stress — convert first.
Step 2 — Gradient: d u / d y = 0.3/0.002 = 150 s − 1 .
Why this step? Linear profile, rise/run again.
Step 3 — Rearrange the law for μ :
μ = d u / d y τ = 150 15 = 0.1 Pa⋅s .
Why this step? τ = μ ( d u / d y ) , so divide stress by gradient to isolate μ .
Verify: 0.1 Pa·s is 100× water — consistent with "oil." Plug back: 0.1 × 150 = 15 Pa ✓.
Worked example Zero rate of strain
A glass of water sits perfectly still on a table. What is the shear stress inside it?
Forecast: the defining property of a fluid should show up here — guess before reading on.
Step 1 — Nothing moves, so every layer has the same speed (zero): u ( y ) = 0 everywhere.
Why this step? "At rest" means the velocity field is identically zero.
Step 2 — Therefore the gradient is d u / d y = 0 .
Why this step? A constant (here, zero) has zero slope.
Step 3 — Apply the law: τ = μ × 0 = 0 .
τ = 0 Pa .
Why this step? No rate of strain ⇒ no viscous stress.
Verify: This is exactly the definition of a fluid — it sustains zero shear at static equilibrium . If τ were nonzero the water would still be flowing, contradicting "at rest." ✓ (See Hydrostatics — Fluids at Rest — only normal pressure survives.)
Worked example Curved velocity profile
Fluid flows past a wall with the measured profile u ( y ) = 50 y − 2500 y 2 (SI units, valid for 0 ≤ y ≤ 0.01 m). Viscosity μ = 0.02 Pa·s. Find the shear stress right at the wall (y = 0 ) and at y = 4 mm .
Forecast: the profile is steepest at the wall, so shear should be largest at y = 0 and smaller higher up.
Step 1 — For a curved profile we cannot use "speed/gap." We need the local slope, i.e. the derivative — that is precisely what d y d u means .
Why this tool and not rise/run? Rise/run only works for straight lines. A derivative gives the slope of the tangent at each point — the honest velocity gradient there. Look at the two tangent lines in the figure: their steepness differs.
d y d u = 50 − 5000 y .
Step 2 — At the wall, y = 0 : d u / d y = 50 s − 1 , so
τ wall = 0.02 × 50 = 1.0 Pa .
Why this step? Wall stress uses the slope evaluated at y = 0 .
Step 3 — At y = 4 mm = 0.004 m: d u / d y = 50 − 5000 ( 0.004 ) = 50 − 20 = 30 s − 1 , so
τ = 0.02 × 30 = 0.6 Pa .
Why this step? Same derivative, evaluated at the new height.
Verify: 1.0 > 0.6 ✓ — shear drops as we move away from the wall, matching the forecast (profile flattens). Units Pa⋅s × s − 1 = Pa ✓.
u / y on a curved profile
Why it feels right: it worked in Ex 1. Fix: u / y is the average slope from 0 to y ; the physics needs the local slope d u / d y . Only for straight-line profiles are they equal.
Worked example What happens as
y → 0 ?
Keep plate speed fixed at u = 0.3 m/s and viscosity μ = 0.1 Pa·s. Compute τ for gaps y = 2 mm, 0.5 mm, 0.1 mm. What is the trend?
Forecast: thinner film squeezed at the same speed = harder to shear. Guess: τ grows.
Step 1 — Gradient at each gap: d u / d y = u / y .
y = 0.002 : 150 s − 1
y = 0.0005 : 600 s − 1
y = 0.0001 : 3000 s − 1
Why this step? Same speed over a smaller gap → steeper gradient.
Step 2 — Multiply by μ = 0.1 :
τ = 15 Pa , 60 Pa , 300 Pa .
Why this step? Newton's law with the new gradients.
Step 3 — Take the limit: as y → 0 , y u → ∞ , so τ → ∞ .
Why this step? Dividing a fixed speed by a shrinking gap grows without bound.
Verify: halving the gap doubles τ (15 → ... y cut by 4 gives τ × 4 = 60 ✓; cut by 20 gives × 20 = 300 ✓). Physically: this is why thin lubricant films resist enormous shear — the basis of bearings.
Worked example Skater on a water film
An ice skater's blade (A = 6.0 cm 2 ) glides on a 10 μ m film of melt-water (μ = 1.8 × 1 0 − 3 Pa·s) at speed 8 m/s. What viscous drag force resists the skater?
Forecast: super-thin film + real speed → sizeable gradient, but water is thin and area tiny; expect a fraction of a newton.
Step 1 — Translate words to symbols: A = 6.0 cm 2 = 6.0 × 1 0 − 4 m 2 , y = 10 μ m = 1.0 × 1 0 − 5 m, u = 8 m/s.
Why this step? Every quantity must be SI before it touches the formula.
Step 2 — Gradient (linear film): d u / d y = 8/ ( 1.0 × 1 0 − 5 ) = 8.0 × 1 0 5 s − 1 .
Why this step? Thin film, so large gradient — that's where the drag comes from.
Step 3 — Stress: τ = μ ( d u / d y ) = ( 1.8 × 1 0 − 3 ) ( 8.0 × 1 0 5 ) = 1440 Pa.
Why this step? Newton's law.
Step 4 — Force: F t = τ A = 1440 × 6.0 × 1 0 − 4 = 0.864 N.
Why this step? Convert stress back to a force via the blade area.
Verify: ≈ 0.86 N of drag on a fast skater is believable (ice is famously low-friction). Units check: Pa·s × s⁻¹ × m² = N ✓.
Worked example Which law applies?
A block of rubber (G = 5 × 1 0 5 Pa) is pushed by a steady shear τ = 2 × 1 0 4 Pa. (a) Find its steady shear strain γ . (b) A cousin insists rubber "flows" and uses τ = μ γ ˙ . Who is right?
Forecast: rubber tilts and stops — that's solid behaviour, so it has a finite γ .
Step 1 — Decide the material class. Rubber reaches a fixed deformation and holds it, so it is a solid → use τ = G γ , not the viscosity law.
Why this step? The whole topic hinges on this fork: solids store shear (G γ ), fluids can't (μ γ ˙ ). Choosing the law wrongly is the classic trap.
Step 2 — Solve for strain: γ = τ / G = ( 2 × 1 0 4 ) / ( 5 × 1 0 5 ) = 0.04 (a pure number = radians of tilt).
γ = 0.04.
Why this step? τ = G γ ⇒ γ = τ / G .
Step 3 — Judge the cousin: a fluid would keep tilting (γ ˙ > 0 forever). Rubber does not — it settles. So the cousin is wrong ; the fluid law does not apply.
Why this step? The defining test is "does it keep deforming?" Rubber says no.
Verify: γ = 0.04 rad ≈ 2.3° tilt — small and steady, exactly as a solid should behave. Contrast with Stress and Strain in Solids . ✓
Worked example Spot the mm-vs-m error
A student computes shear in glycerin (μ = 1.4 Pa·s), plate speed 0.6 m/s, gap 3 mm, and writes d u / d y = 0.6/3 = 0.2 s − 1 , so τ = 0.28 Pa. Find the error and the correct τ .
Forecast: glycerin is very thick; 0.28 Pa looks suspiciously tiny. Something's off.
Step 1 — Diagnose: the student divided by 3 mm expressed as 3 , forgetting to convert to metres.
Why this step? d u / d y must be (m/s)/(m); mixing m/s with mm silently multiplies the answer by 1000-error.
Step 2 — Correct gap: y = 3 mm = 0.003 m, so d u / d y = 0.6/0.003 = 200 s − 1 .
Why this step? Consistent SI units.
Step 3 — Correct stress: τ = 1.4 × 200 = 280 Pa.
τ = 280 Pa .
Why this step? Newton's law with the fixed gradient.
Verify: the true answer is exactly 1000 × the wrong one (0.28 → 280 ) — the signature of a mm/m slip. And 280 Pa for thick glycerin is reasonable, unlike 0.28 Pa. ✓
Recall Quick self-test (cover the right side)
Linear profile, which formula for the gradient? ::: d u / d y = u / y .
Curved profile, which tool for the gradient? ::: the derivative d u / d y evaluated locally.
Fluid at rest, shear stress? ::: exactly zero (defining property).
As gap y → 0 at fixed speed, τ does what? ::: grows without bound (→ ∞ ).
Rubber under steady shear — which law? ::: τ = G γ (it's a solid, finite strain).
First thing to check before plugging numbers? ::: convert mm/cm/µm to metres.
Mnemonic Case-check ritual
"CLUES" — C lass (solid or fluid?), L inear or curved (rise/run vs derivative?), U nits (all SI?), E valuate the gradient, S cale-check the answer.
Velocity Profile and No-Slip Condition — where curved profiles like Ex 5 come from.
Viscosity and Newtonian vs Non-Newtonian Fluids — deeper on μ used throughout.
Hydrostatics — Fluids at Rest — the γ ˙ = 0 world of Ex 4.
Stress and Strain in Solids — the τ = G γ side of Ex 8.
Pressure in Fluids — the normal-stress companion to shear.