Method of evaluation and reduction of vapor‐liquid equilibrium data of binary mixtures
Jean‐François Fabries, H. Renon
Abstract
Jean‐François Fabries, H. Renon
Abstract
Abstract A new method to reduce vapor‐liquid equilibrium data of binary mixtures and to evaluate a thermodynamic model is presented. It is based on the principle of maximum likelihood. Deviations between all measured and predicted quantities are calculated and confidence limits in model parameters are evaluated from the given estimates of experimental errors. Many examples illustrate the practical applications of the method.
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Abstract A new method to reduce vapor‐liquid equilibrium data of binary mixtures and to evaluate a thermodynamic model is presented. It is based on the principle of maximum likelihood. Deviations between all measured and predicted quantities are calculated and confidence limits in model parameters are evaluated from the given estimates of experimental errors. Many examples illustrate the practical applications of the method.
Key concepts: Binary number, Thermodynamics, Vapor–liquid equilibrium, Binary data, Chemistry, Reduction (mathematics), Experimental data, Applied mathematics