Enthalpy of fusion

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Enthalpies of melting and boiling for pure elements versus temperatures of transition, demonstrating Trouton's rule Enthalpies of melting and boiling for pure elements versus temperatures of transition.svg
Enthalpies of melting and boiling for pure elements versus temperatures of transition, demonstrating Trouton's rule

In thermodynamics, the enthalpy of fusion of a substance, also known as (latent) heat of fusion, is the change in its enthalpy resulting from providing energy, typically heat, to a specific quantity of the substance to change its state from a solid to a liquid, at constant pressure.

Contents

It is the amount of energy required to convert one mole of solid into liquid. For example, when melting 1 kg of ice (at 0 °C under a wide range of pressures), 333.55 kJ of energy is absorbed with no temperature change. The heat of solidification (when a substance changes from liquid to solid) is equal and opposite.

This energy includes the contribution required to make room for any associated change in volume by displacing its environment against ambient pressure. The temperature at which the phase transition occurs is the melting point or the freezing point, according to context. By convention, the pressure is assumed to be 1 atm (101.325 kPa) unless otherwise specified.

Overview

The 'enthalpy' of fusion is a latent heat, because, while melting, the heat energy needed to change the substance from solid to liquid at atmospheric pressure is latent heat of fusion, as the temperature remains constant during the process. The latent heat of fusion is the enthalpy change of any amount of substance when it melts. When the heat of fusion is referenced to a unit of mass, it is usually called the specific heat of fusion, while the molar heat of fusion refers to the enthalpy change per amount of substance in moles.

The liquid phase has a higher internal energy than the solid phase. This means energy must be supplied to a solid in order to melt it and energy is released from a liquid when it freezes, because the molecules in the liquid experience weaker intermolecular forces and so have a higher potential energy (a kind of bond-dissociation energy for intermolecular forces).

When liquid water is cooled, its temperature falls steadily until it drops just below the line of freezing point at 0 °C. The temperature then remains constant at the freezing point while the water crystallizes. Once the water is completely frozen, its temperature continues to fall.

The enthalpy of fusion is almost always a positive quantity; helium is the only known exception. [1] Helium-3 has a negative enthalpy of fusion at temperatures below 0.3 K. Helium-4 also has a very slightly negative enthalpy of fusion below 0.77 K (−272.380 °C). This means that, at appropriate constant pressures, these substances freeze with the addition of heat. [2] In the case of 4He, this pressure range is between 24.992 and 25.00 atm (2,533 kPa). [3]

Standard enthalpy change of fusion of period three Enthalpy of Fusion period three.PNG
Standard enthalpy change of fusion of period three
Standard enthalpy change of fusion of period two of the periodic table of elements Molar heat of fusion period two.png
Standard enthalpy change of fusion of period two of the periodic table of elements
SubstanceHeat of fusion
(cal/g)(J/g)
water 79.72333.55
methane 13.9658.99
propane 19.1179.96
glycerol 47.95200.62
formic acid 66.05276.35
acetic acid 45.90192.09
acetone 23.4297.99
benzene 30.45127.40
myristic acid 47.49198.70
palmitic acid 39.18163.93
sodium acetate 63–69264–289 [4]
stearic acid 47.54198.91
gallium 19.280.4
paraffin wax (C25H52)47.8–52.6200–220

These values are mostly from the CRC Handbook of Chemistry and Physics, 62nd edition. The conversion between cal/g and J/g in the above table uses the thermochemical calorie (calth) = 4.184 joules rather than the International Steam Table calorie (calINT) = 4.1868 joules.

Examples

Solubility prediction

The heat of fusion can also be used to predict solubility for solids in liquids. Provided an ideal solution is obtained the mole fraction of solute at saturation is a function of the heat of fusion, the melting point of the solid and the temperature of the solution:

Here, is the gas constant. For example, the solubility of paracetamol in water at 298 K is predicted to be:

Since the molar mass of water and paracetamol are 18.0153gmol−1 and 151.17gmol−1 and the density of the solution is 1000gL−1, an estimate of the solubility in grams per liter is:

1000 g/L * (mol/18.0153g) is an estimate of the number of moles of molecules in 1L solution, using water density as a reference;
0.0248 * (1000 g/L * (mol/18.0153g)) is the molar fraction of substance in saturated solution with a unit of mol/L;
0.0248 * (1000 g/L * (mol/18.0153g)) * 151.17g/mol is the solute's molar fraction equivalent mass conversion;
1-0.0248 will be the fraction of the solution that is solvent.

which is a deviation from the real solubility (240 g/L) of 11%. This error can be reduced when an additional heat capacity parameter is taken into account. [5]

Proof

At equilibrium the chemical potentials for the solute in the solution and pure solid are identical:

or

with the gas constant and the temperature.

Rearranging gives:

and since

the heat of fusion being the difference in chemical potential between the pure liquid and the pure solid, it follows that

Application of the Gibbs–Helmholtz equation:

ultimately gives:

or:

and with integration:

the end result is obtained:

See also

Notes

  1. Atkins & Jones 2008, p. 236.
  2. Ott & Boerio-Goates 2000, pp. 92–93.
  3. Hoffer, J. K.; Gardner, W. R.; Waterfield, C. G.; Phillips, N. E. (April 1976). "Thermodynamic properties of 4He. II. The bcc phase and the P-T and VT phase diagrams below 2 K". Journal of Low Temperature Physics . 23 (1): 63–102. Bibcode:1976JLTP...23...63H. doi:10.1007/BF00117245. S2CID   120473493.
  4. Ibrahim Dincer and Marc A. Rosen. Thermal Energy Storage: Systems and Applications, page 155
  5. Measurement and Prediction of Solubility of Paracetamol in Water-Isopropanol Solution. Part 2. Prediction H. Hojjati and S. Rohani Org. Process Res. Dev.; 2006; 10(6) pp 1110–1118; (Article) doi : 10.1021/op060074g

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References