What is Duhem’s Theorem?
For any closed system formed from known amounts of prescribed chemical species, the equilibrium state is completely determined when any two independent variables are fixed. The two independent variables subject to specification may in general be either intensive or extensive. However, the number of independent intensive variables is given by the phase rule. Thus when F = 1, at least one of the two variables must be extensive, and when F = 0, both must be extensive.
How to Calculate Ideal Solution Gibbs Energy using Ideal Solution Model in Binary System?
Ideal Solution Gibbs Energy using Ideal Solution Model in Binary System calculator uses Ideal Solution Gibbs Free Energy = (Mole Fraction of Component 1 in Liquid Phase*Ideal Solution Gibbs Free Energy of Component 1+Mole Fraction of Component 2 in Liquid Phase*Ideal Solution Gibbs Free Energy of Component 2)+[R]*Temperature*(Mole Fraction of Component 1 in Liquid Phase*ln(Mole Fraction of Component 1 in Liquid Phase)+Mole Fraction of Component 2 in Liquid Phase*ln(Mole Fraction of Component 2 in Liquid Phase)) to calculate the Ideal Solution Gibbs Free Energy, The Ideal Solution Gibbs Energy using Ideal Solution Model in Binary System formula is defined as the function of ideal solution Gibbs energy of both components and mole fraction of both components in liquid phase in the binary system. Ideal Solution Gibbs Free Energy is denoted by Gid symbol.
How to calculate Ideal Solution Gibbs Energy using Ideal Solution Model in Binary System using this online calculator? To use this online calculator for Ideal Solution Gibbs Energy using Ideal Solution Model in Binary System, enter Mole Fraction of Component 1 in Liquid Phase (x1), Ideal Solution Gibbs Free Energy of Component 1 (G1id), Mole Fraction of Component 2 in Liquid Phase (x2), Ideal Solution Gibbs Free Energy of Component 2 (G2id) & Temperature (T) and hit the calculate button. Here is how the Ideal Solution Gibbs Energy using Ideal Solution Model in Binary System calculation can be explained with given input values -> -2436.878656 = (0.4*71+0.6*88)+[R]*450*(0.4*ln(0.4)+0.6*ln(0.6)).