Fugacity coefficient of an ideal solution

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In summary: KumarIn summary, the fugacity coefficient of a species in an ideal solution is equal to the fugacity of the pure liquid at the same temperature and pressure as the solution, multiplied by the mole fraction of the species in the liquid. This is a first approximation, as the pressure of the liquid is usually higher than the equilibrium vapor pressure of the pure species. The Poynting correction factor takes into account the change in free energy between the equilibrium vapor pressure and the total pressure.
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nickelous
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Hi all. I have some confusion regarding the fugacity coefficient of a species in an ideal solution so hoping someone could clear it up for me. According to my textbook, for fugacity coefficient of a species i in a solution:

upload_2014-11-14_2-46-27.png


So if we were talking about an ideal liquid mixture of let's say species A and B, then the denominator yi should be replaced by xi as per stated by the textbook. So if i were to calculate the fugacity coefficient of species A, my question is what is the physical significance of xAP? is it the vapour pressure of the vapour of species A above the liquid components? Why is it calculated in such a way (seems like the same way as how partial pressure of gas mixture is calculated). From what i know, the calculation of vapour pressure of a species in ideal mixture should be xiPo where Po is the vapour pressures of i if it were to exist as pure liquid
 

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The fugacity of A in an ideal liquid solution is equal to the fugacity of pure liquid A at the same temperature and pressure as the solution times the mole fraction of A in the liquid. As a first approximation to the fugacity of the pure A in the liquid, you use its equilibirum vapor pressure at the solution temperature. This is what would usually go into Raolt's law. But then you need to correct the fugacity because the pressure P of the liquid is higher than the equilibrium vapor pressure of pure A. So you need to consider the change in free energy between the equilibrium vapor pressure and the total pressure. This is where the Poynting correction factor comes in.

Chet
 

Related to Fugacity coefficient of an ideal solution

1. What is the fugacity coefficient of an ideal solution?

The fugacity coefficient of an ideal solution is a dimensionless parameter that represents the deviation of a solution from ideality. It is a measure of the non-ideality of a solution and can be used to predict the behavior of real solutions.

2. How is the fugacity coefficient of an ideal solution calculated?

The fugacity coefficient of an ideal solution is calculated using the fugacity equation, which takes into account the temperature, pressure, and composition of the solution. This equation can be solved using various mathematical methods, such as the van der Waals equation or the Redlich-Kwong equation.

3. What factors affect the fugacity coefficient of an ideal solution?

The fugacity coefficient of an ideal solution can be affected by several factors, including temperature, pressure, and composition. Other factors such as intermolecular interactions, molecular size, and shape can also play a role in determining the fugacity coefficient.

4. How does the fugacity coefficient of an ideal solution relate to the activity coefficient?

The fugacity coefficient and the activity coefficient are both measures of non-ideality in a solution. The fugacity coefficient is a measure of the non-ideality of the gas phase, while the activity coefficient is a measure of the non-ideality of the liquid phase. They are related through the Gibbs-Duhem equation.

5. What is the significance of the fugacity coefficient of an ideal solution in chemical engineering?

The fugacity coefficient is an important parameter in chemical engineering as it helps in predicting the behavior of real solutions and designing separation processes. It is also used in thermodynamic calculations to determine the equilibrium conditions of a system. Understanding the fugacity coefficient is crucial for accurate process design and optimization.

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