How to use the trouton rule enthalpy of vaporization calculator
Estimate the enthalpy of vaporization of a liquid from its normal boiling point using Trouton rule. Enter normal boiling point in the field above; the estimated enthalpy of vaporization, estimated enthalpy in kcal/mol are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “Trouton rule”, “enthalpy of vaporization estimate”, “heat of vaporisation from boiling point”, “calculate trouton rule enthalpy of vaporization”, “find estimated enthalpy of vaporization”.
Formula
Variables
- Tb — Normal boiling point (K)
Worked example
With normal boiling point = 351.5 K, the calculator gives estimated enthalpy of vaporization ≈ 30.932 kJ/mol; estimated enthalpy in kcal/mol ≈ 7.392925 kcal/mol.
Frequently asked questions
What is the trouton rule enthalpy of vaporization calculator used for?
Estimate the enthalpy of vaporization of a liquid from its normal boiling point using Trouton rule. It helps with questions such as “Trouton rule”, “enthalpy of vaporization estimate”, “heat of vaporisation from boiling point”.
What is the formula for the trouton rule enthalpy of vaporization calculation?
Estimated enthalpy of vaporization (kJ/mol) = 88 × Tb / 1000. Estimated enthalpy in kcal/mol (kcal/mol) = [Estimated enthalpy of vaporization] / 4.184. Here Tb is normal boiling point (K).
What inputs do I need for the trouton rule enthalpy of vaporization calculator?
You need normal boiling point in K. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the trouton rule enthalpy of vaporization calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the trouton rule enthalpy of vaporization result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.