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PHY·16 Physics 6 MIN · 8 STATIONS

Heat diffusion time

A Socratic walk-through of heat diffusion time — reasoned out one step at a time, not lectured.

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a

The question we started with

THE QUESTION #

Why does doubling the thickness of a wall delay the heat's arrival by four times rather than two?

Sun strikes the outside of a thick masonry wall in the morning; the inside face warms in the late afternoon. Build the wall twice as thick and the obvious guess is that the heat takes twice as long — twice the distance, so twice the journey.

The measured answer is four times. That factor of four is not a fudge or a material quirk. It is telling us something about what heat conduction is, and the quickest way to see it is to notice that the obvious guess smuggles in an assumption: that heat travels at a speed.

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Reasoning it through

REASONING #

Does it? A speed means a fixed distance per unit time, and something moving at a speed covers ten metres in ten times the time it takes to cover one. Ask instead what conduction actually consists of. In a solid, energy passes from one jostling atom to its neighbours, and in a metal, from one wandering electron to the next scatterer. Each handoff goes a tiny distance in a direction with no memory of the last one. Nothing is aimed at the far side of the wall.

So picture a single unit of energy taking steps of length l, each taking a time t, in random directions. After N steps it has not gone Nl. Random steps partly cancel, and the standard result for such a walk is that the typical net displacement grows as l times the square root of N. Turn that around: to get a distance L from where it started, it needs roughly N = (L/l)² steps, and therefore a time of (L/l)² × t.

Look at what that gives us. Group the small quantities together: the time is L*² divided by (*l*²/*t). The material's whole contribution has collapsed into one number with units of area per second. That number is the thermal diffusivity, written α, and the time to cross a distance L is of order *L*²/α.

Now the factor of four is unavoidable. Nothing else could have come out. If you have only a length and a quantity measured in square metres per second, the only time you can build from them is a length squared divided by that quantity — so any correct answer scales as thickness squared, whatever the material.

Put a number to it. Brick has a diffusivity of roughly 5 × 10⁻⁷ m²/s — a recalled figure, and real masonry varies with density and moisture, so treat it as an order of magnitude. For a wall 100 mm thick, *L*²/α = 0.01 ÷ (5 × 10⁻⁷) = 20,000 seconds, about five and a half hours. Double it to 200 mm and you get 80,000 seconds, about twenty-two hours — which is why very thick masonry can deliver the day's heat in the middle of the night.

Is there a way to see the mechanism directly, rather than trusting the algebra? Yes: the front decelerates. If the depth reached grows as the square root of time, then the advance is fast at first and gets slower and slower. And that is exactly what a temperature probe records — the near-side warms quickly, the far side lags disproportionately. A front that crawls more slowly the further it goes is not something travelling at a speed. It is something spreading.

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The analogy

THE ANALOGY #
THE FIGURE

Think of a rumour passing person to person through a crowd, where nobody knows the direction you want it to go and each person tells whoever is nearest. It gets away from you quickly at first, but to reach someone ten rows back it must wander, doubling back as often as it advances — so ten rows costs far more than ten times one row's worth of retellings.

WHERE IT BREAKS DOWN

a rumour is one item passed along, whereas heat is a quantity that must be supplied to every layer along the way — the far side of the wall is late not only because the signal wanders, but because all the brick in between had to be warmed up first, and the deeper the layer, the feebler the temperature difference still available to warm it.

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Clarifying the model

THE MODEL #

Two refinements make this honest.

First, L*²/α gives the scale, not the answer to three figures. The exact number depends on what you count as "arrival" — the far face reaching a tenth of the imposed step, or half of it — and on what is happening at both surfaces. Those choices move the prefactor by a factor of a few. What none of them can touch is the exponent: whatever definition you pick, doubling *L multiplies the delay by four.

Second, and this is the one worth carrying away: the delay and the loss are different quantities with different physics. Steady heat flow through a wall is governed by conductivity divided by thickness — double the thickness and you halve the leak, a plain reciprocal. Diffusivity is conductivity divided by the heat capacity per unit volume, so it asks a different question: not how readily the material passes heat on, but how quickly it passes heat on relative to how much it must soak up on the way. A dense, heat-hungry material can be a poor insulator and still be very slow. Insulation is about how much; diffusion time is about when.

At the smallest scales and shortest times the diffusive picture itself gives out — carriers travel ballistically before they have scattered enough for the random walk to apply — but for walls, pans and soil it holds.

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A picture of it

THE PICTURE #
Heat diffusion time
Heat diffusion time Both curves are pinned to the same measured point, a five-and-a-half-hour lag at 100 mm. The upper, bending curve is the diffusion prediction, L²/α; the lower, straight one is what you would get if heat moved at a speed. They agree only where they were forced to agree. Read off the ends: at 200 mm the two predictions differ by a factor of two, so a single thick-wall measurement decides between them. {"generator":"[email protected]","source":"../Socrates/.diagram-cache/_src/heat-diffusion-time.md","sourceIndex":1,"sourceLine":4,"sourceHash":"f8d97e930e6a53af26cdaca552f1613474cb2426e14dc7bf7a6af1afdb1556ba","diagramType":"xychart","layoutVariant":"source","repairedDuplicateIds":[],"motion":"entrance-with-reduced-motion-fallback","presentation":"editorial","attempt":1,"viewBox":{"x":0,"y":0,"width":795,"height":668},"qa":{"passed":true,"findings":[]}} 25 50 75 100 150 200 Wall thickness in mm 24 22 20 18 16 14 12 10 8 6 4 2 0 Delay in hours

How to readBoth curves are pinned to the same measured point, a five-and-a-half-hour lag at 100 mm. The upper, bending curve is the diffusion prediction, *L*²/α; the lower, straight one is what you would get if heat moved at a speed. They agree only where they were forced to agree. Read off the ends: at 200 mm the two predictions differ by a factor of two, so a single thick-wall measurement decides between them.

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What became clearer

WHAT CLEARED #
WHAT CLEARED

Conduction has no velocity. It is the spreading of a random walk, and a random walk buys distance at the price of its square — so a material's contribution reduces to a single area-per-second, and the arrival time to thickness squared divided by it. That is also why thickness is a far more powerful lever on timing than on loss: doubling a wall halves what leaks through it in the steady state, and quadruples how long it takes to get there.

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Where to go next

ONWARD #
  • Why a daily temperature swing penetrates only to a characteristic depth, and how that sets the depth at which cellars stay at the annual average.
  • How the same square law governs the cooking time of a roast, and why halving a joint's thickness quarters its time in the oven.
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Key terms

TERMS #
TermWhat it means
Thermal diffusivity (α)conductivity divided by volumetric heat capacity, in square metres per second; the single material number that sets how fast a temperature change spreads.
Random walka path of independent steps in random directions, whose net displacement grows as the square root of the number of steps.
Thermal lagthe delay between a temperature change at one face of a solid and the response at the other.

Every term the collection defines is gathered in the glossary.

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