Forced Convection over a Cylinder in Crossflow

Category: Forced Convection | Revised 2026-10-01
CAE visualization for cylinder crossflow theory - technical simulation diagram
Forced Convection Around a Cylinder

Theory: correlations and when to use them

Overview

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I want to estimate heat loss from an outdoor hot-water pipe. How do I get the heat transfer coefficient in wind?

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The standard approach is a correlation for crossflow over a cylinder: get the Nusselt number from Reynolds and Prandtl numbers and convert to a heat transfer coefficient. But there are several correlations, differing by about 10% for the same conditions. And in light wind, radiation and natural convection matter, so forced convection alone badly misjudges heat loss. Check what dominates across your range of wind speeds.

Churchill–Bernstein correlation

$$ Nu_D = 0.3 + \frac{0.62\,Re_D^{1/2}\,Pr^{1/3}}{\left[1 + (0.4/Pr)^{2/3}\right]^{1/4}}\left[1 + \left(\frac{Re_D}{282000}\right)^{5/8}\right]^{4/5} $$

Valid over the broad range $Re \cdot Pr > 0.2$, with properties at the film temperature (average of surface and fluid). Hilpert's and Zukauskas's correlations switch coefficients by Reynolds-number range.

Related dimensionless numbers

$$ Re_D = \frac{U D}{\nu}, \qquad Ri = \frac{Gr}{Re^2}, \qquad f_{shed} = \frac{St\,U}{D},\ \ St \approx 0.2 $$

A Richardson number $Ri$ near 1 means natural and forced convection are comparable; below 0.1 forced convection dominates. $f_{shed}$ is the Kármán vortex shedding frequency.

Coffee Break Trivia

Singing wires and the hot-wire anemometer

Power lines whistle in strong wind because of periodic forces from vortices shed behind them — studied by Strouhal in the 19th century. Cylinder heat transfer was studied from the same era, and early in the 20th century the hot-wire anemometer appeared: an electrically heated fine wire whose cooling by the wind measures speed. King gave a heat transfer law for fine wires in 1914, a foundation of turbulence measurement. Cylinder heat transfer underlies not only pipes and tube banks but measuring instruments too.

Worked example: a 25 mm hot-water pipe

A 25 mm pipe with surface at 80 °C sits in 20 °C air. Air properties at the 50 °C film temperature: kinematic viscosity 1.82×10⁻⁵ m²/s, conductivity 0.0280 W/mK, Prandtl number 0.704.

WindReNu (CB / Hilpert / Zukauskas)Spreadh (CB)Heat loss (CB)Shedding
0.5 m/s68713.2 / 12.8 / 11.712%14.8 W/m²K70 W/m4 Hz
2 m/s2,74726.8 / 24.3 / 26.410%30.0 W/m²K141 W/m16 Hz
5 m/s6,86843.5 / 40.4 / 45.813%48.8 W/m²K230 W/m40 Hz
10 m/s13,73663.8 / 61.9 / 69.411%71.5 W/m²K337 W/m80 Hz
20 m/s27,47395.2 / 95.1 / 105.210%106.6 W/m²K502 W/m160 Hz
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Correlations differ by over 10%. Which one is right?

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All are fits to experimental data, so treat the ~10% differences as their uncertainty. Rather than trusting one, check the spread across several and build margin into the design. Much bigger are heat paths other than forced convection. At 0.5 m/s, comparing radiation and natural convection as below shows forced convection alone isn't enough.

Example 2: radiation and natural convection

Heat pathCoefficientHeat loss
Forced convection (0.5 m/s)14.8 W/m²K70 W/m
Radiation (emissivity 0.9, painted)6.95 W/m²K33 W/m
Radiation (emissivity 0.1, bare aluminium)0.77 W/m²K3.6 W/m
Natural convection (still air)7.64 W/m²K36 W/m

The Richardson number is 1.14 at 0.2 m/s, 0.18 at 0.5 m/s and 0.01 at 2 m/s. Below 0.5 m/s natural convection can't be ignored, and radiation varies about ninefold with surface finish.

Analysis workflow

  1. From the wind-speed range, compute Reynolds and Richardson numbers to see what dominates.
  2. Check the range of coefficients across several correlations.
  3. Estimate radiation from surface emissivity and add it to convection.
  4. If checking with CFD, resolve vortex shedding transiently and time-average the heat transfer.
  5. For tube rows, consider wake effects from upstream tubes (use tube-bank correlations).
Coffee Break Trivia

“CFD heat transfer at 60% of the correlation”

A CFD calculation of cylinder heat transfer gave only about 60% of the correlation. It had been solved with steady RANS, so no vortex shedding occurred and rear-face heat transfer barely appeared. Re-solving transiently and time-averaging brought it within 10% of the correlation. Rear-face heat transfer is sustained by periodic shedding. When a steady solution won't converge, it may be a sign the flow is inherently unsteady.

Common mistakes

Mistakes and fixes

MistakeEffectFix
Forced convection onlyHeat loss underestimated in light windAdd radiation and natural convection
Trusting a single correlation~10% uncertainty missedCheck spread across correlations
Properties at fluid temperatureCoefficient offUse film temperature
Steady CFD ignoring sheddingRear heat transfer underestimatedTransient with time averaging
Single-cylinder correlation for tube banksWake effects misjudgedTube-bank correlations
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Structural AnalysisFluid Analysis (CFD)Manufacturing & Process Simulation
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