Worked examples — Latent heat — phase transitions
This is a problem clinic for the parent topic. We will not re-teach the theory — instead we hunt down every kind of situation a latent-heat problem can be, put each in a box, and solve one example per box. When you finish, you should never meet a phase-change problem that surprises you.
Before we start, keep these two tools side by side — they are the only two formulas in play:
Water constants we reuse everywhere (memorise these once):
| Symbol | Meaning | Value |
|---|---|---|
| specific heat of ice | J/kg·K | |
| specific heat of liquid water | J/kg·K | |
| specific heat of steam | J/kg·K | |
| latent heat of fusion (melt/freeze) | J/kg | |
| latent heat of vaporisation (boil/condense) | J/kg |
The scenario matrix
Every latent-heat problem is one of these case classes. The examples below are labelled with the cell they cover, and together they hit all of them.
| # | Case class | What makes it different | Example |
|---|---|---|---|
| A | Pure plateau, heat in | mass already at transition temp, only | Ex 1 |
| B | Pure plateau, heat out (freezing/condensing) | sign flips: heat released, same magnitude | Ex 2 |
| C | Multi-region climb (slope→flat→slope→…) | sum of several terms across kinks | Ex 3 |
| D | Mixing / calorimetry, no leftover | heat lost = heat gained, everything used up | Ex 4 |
| E | Mixing where one substance runs out first | must check how far the reaction gets | Ex 5 |
| F | Degenerate / limiting input (zero mass, exact-boundary energy) | edge cases that trip formulas | Ex 6 |
| G | Real-world word problem | sweating / cooling by evaporation | Ex 7 |
| H | Exam-style twist: final temperature unknown | you must find where the mixture settles | Ex 8 |
The two big ideas hiding under all of it:
- Direction of heat flow decides the sign, but is always the same size (melting absorbs , freezing releases the identical amount).
- You never guess the final state — you compute how much energy is available and see how far it gets you along the melt–warm–boil ladder.
Example 1 — Cell A: pure plateau, heat in
Forecast: Only one term or several? Guess the number of joules before reading on.
- Identify the state. The ice sits exactly at its melting point . Why this step? If the substance is already at the transition temperature, there is no slope to climb — every joule goes straight into the plateau ().
- Pick the tool. Phase change ⇒ use . Why this step? Temperature does not change while melting, so and would falsely give zero. We must switch to the plateau formula.
- Plug in.
Verify: Units: ✓. Ex 1 of the parent melted kg for kJ; doubling the mass should double the heat — and kJ ✓.
Example 2 — Cell B: pure plateau, heat OUT (freezing)
Forecast: Bigger, smaller, or equal to the melting energy for the same mass?
- Recognise the reverse trip. Freezing is melting run backwards. Why this step? Latent heat is symmetric: the energy released on freezing equals the energy absorbed on melting for the same mass. Only the direction flips.
- Compute the magnitude.
- Attach the sign. Heat is released by the water, so from the water's viewpoint J. Why this step? Sign bookkeeping (see First law of thermodynamics) matters when you later add this to other flows; the magnitude alone is what the freezer must pump away.
Verify: Same and as a melting problem ⇒ same magnitude, opposite sign — exactly what symmetry demands ✓. Units J ✓.
Example 3 — Cell C: full multi-region climb
Forecast: Which single term will dominate the bill?
Look at the heating-curve figure — we cross five regions, splitting the journey at each kink.

- Warm ice (slope, ): Why this step? Temperature is rising ⇒ slope tool .
- Melt at (plateau): Why this step? At the first kink the curve goes flat — phase change, so switch to .
- Warm water (slope, ): Why this step? The classic mistake is skipping this: liquid water must still climb 100 degrees before it can boil.
- Boil at (plateau):
- Warm steam (slope, ):
- Sum.
Verify: The boiling term ( J) is the biggest — matches "Vaporise = Vast" ✓. All slopes use , both plateaus use ✓. Units J throughout ✓.
Example 4 — Cell D: mixing with nothing left over
Forecast: More or less than the water's own mass?
- Write energy conservation (see Calorimetry — method of mixtures): Why this step? In an insulated container, no energy escapes — the warm side's loss equals the cold side's gain.
- Heat released by the water cooling :
- Set equal and solve for the ice mass: Why this step? The ice only melts (stays at ), so every joule it receives is latent — divide by .
Verify: g of ice melted by g of water — the water carries plenty of energy but is large, so it melts less than a third of its mass. Reasonable ✓. Units: ✓.
Example 5 — Cell E: one substance runs out first
Forecast: Fully melted pond, or an ice-water slush left over?
- Budget the available heat. The warm water can at most fall to , releasing: Why this step? Water cannot go below without itself freezing, so this is the maximum energy the ice can draw.
- Heat needed to melt ALL the ice: Why this step? We compare demand vs supply. This is the crucial check that catches the runs-out case.
- Compare. J J. Not enough heat — only part of the ice melts. Why this step? When supply < demand, the phase change stalls; the mixture settles at the plateau temperature with leftover ice.
- How much ice actually melts?
- Final state: temperature ; ice remaining g floating in g of water.
Verify: Melted mass ( g) is far below the total ice ( g), consistent with "not enough heat" ✓. Energy check: J ✓.
Example 6 — Cell F: degenerate & boundary inputs
Forecast: Do the formulas break, or behave gracefully?
Part (a):
- J. Why this step? Zero mass means zero substance to change phase — the formula returns , which is physically correct, not a bug.
Part (b): 2. Energy to melt all this ice: J. Why this step? We compare the supplied energy to the plateau's total demand. 3. Compare. Supplied J exactly equals the melt demand. Why this step? This is the razor's-edge boundary: just enough to finish melting, with zero left over to warm the resulting water. 4. Final state: kg of liquid water at exactly — every joule spent on the plateau, temperature not yet risen.
Verify: (a) any formula times zero mass is zero ✓. (b) ✓; since nothing remains after melting, and the water stays at ✓.
Example 7 — Cell G: real-world word problem (sweat cooling)
Forecast: A few joules, or tens of thousands?
- Spot the phase change. Liquid sweat → water vapour: this is vaporisation (see Evaporation vs boiling). Why this step? Evaporation is a phase change, so the plateau tool applies — even though it happens below , at the surface.
- Compute the heat carried away: Why this step? The evaporating molecules steal this latent energy from your skin, which is why you feel cooler.
Verify: kJ from just g — huge, because is huge. This is exactly why sweating is such an effective coolant ✓. Units: ✓.
Example 8 — Cell H: exam twist, final temperature unknown
Forecast: Will the mixture end below, at, or above ? Will any ice survive?
- Melt-first check. Heat needed to melt all the ice: Heat the warm water can give while cooling to : Why this step? Before hunting for a temperature, confirm the ice fully melts. Since , all ice melts and there is leftover energy — so the final temperature is above .
- Set up the balance for the mixed final temperature . After melting, we have kg of melt-water (starting at ) warming up, and kg of original water cooling down: Why this step? Energy conservation with every term: the ice's energy budget is "latent to melt" plus "sensible to warm up to ," paid for by the original water cooling from to .
- Substitute numbers ():
- Solve for :
Verify: lies between and — physically sensible ✓. Left side: J; right side: J — balanced ✓.
Recall Which matrix cell am I in? (decision checklist)
Reveal the guiding question for each cell. Substance already at transition temp, only phase changing ::: Cell A/B — pure plateau, (sign = direction). Heating across several regions from one solid state to a hot gas ::: Cell C — sum slopes () and plateaus (). Two bodies mixed, told they reach a boundary temperature exactly ::: Cell D — heat lost = heat gained, solve for the unknown mass. Two bodies mixed, unsure if the phase change even finishes ::: Cell E — compare available vs needed heat first. Zero mass, or energy exactly equal to a plateau demand ::: Cell F — formulas still hold; watch the "nothing left over" boundary. Real cooling by evaporation ::: Cell G — surface vaporisation, . Final temperature not given ::: Cell H — melt-check first, then energy balance for .
Connections
- Latent heat — phase transitions — the parent topic these examples drill.
- Specific heat capacity — the tool used on every slope.
- Calorimetry — method of mixtures — the "heat lost = heat gained" backbone of Cells D, E, H.
- Kinetic theory of gases — why plateaus sit at fixed temperatures.
- Evaporation vs boiling — the physics behind the sweat-cooling problem (Cell G).
- First law of thermodynamics — sign conventions for heat in vs out (Cell B).
- Phase diagrams — where each transition temperature comes from.