2.2.19 · D3Fluid Mechanics

Worked examples — Reynolds number Re = ρvL - μ — laminar vs turbulent criterion

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Before anything, one reminder of the tools we lean on:


The scenario matrix

Every problem about falls into one of these cells. The examples below are each tagged with the cell they cover.

# Scenario class What makes it tricky Example
A Plain pipe — plug and classify Getting SI units right Ex 1
B High-viscosity limit ( huge) tiny, always laminar Ex 2
C High-speed / large-body limit huge, always turbulent Ex 3
D Solve for the threshold (find , or ) Rearranging the formula Ex 4
E Degenerate input: or ; is "no flow" laminar? Ex 5
F Radius-vs-diameter trap Which does the table assume? Ex 6
G Unit-conversion word problem (cm, mm, cP, air) Convert before plugging Ex 7
H Kinematic-viscosity form ( given, not ) Use directly Ex 8
I Exam twist: scaling / "what if we double it?" Reason with ratios, no calculator Ex 9
J Two fluids, same (dynamic similarity) Match across a model & real object Ex 10
K Right in the middle () Reading the transitional band Ex 11

The regime rule we classify against (pipe convention, diameter):

Regime
laminar
transitional
turbulent
Figure — Reynolds number Re = ρvL - μ — laminar vs turbulent criterion

The worked examples












Recall Quick self-test across all cells

Doubling only the speed does what to ? ::: Doubles it (linear in ). Switching from radius to diameter as does what? ::: Doubles . gives ? and which regime? ::: , trivially laminar (but no flow). Given instead of , which formula? ::: . Two flows with equal are called? ::: Dynamically similar (same regime & pattern). is which regime? ::: Transitional (between 2000 and 4000). How do you read the exact endpoint ? ::: Borderline — edge of laminar / start of transition.


Connections

  • Parent topic — the derivation these examples apply.
  • Viscosity and Newton's law of viscosity — where and come from.
  • Poiseuille's law — the laminar-only law (valid for Ex 2, 5, 8).
  • Stokes' law and terminal velocity — the low- sphere case (relatives of Ex 2).
  • Bernoulli's principle — the inviscid idealisation (Ex 3).
  • Dimensional analysis — why matching (Ex 10) guarantees similarity.
  • Drag force and drag coefficient, the payoff of Ex 10's similarity.