1975AIChE JournalRequires access

Method of evaluation and reduction of vapor‐liquid equilibrium data of binary mixtures

Jean‐François Fabries, H. Renon

Open publisher page 68 citations

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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What this paper is about

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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Available 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.

Key concepts: Binary number, Thermodynamics, Vapor–liquid equilibrium, Binary data, Chemistry, Reduction (mathematics), Experimental data, Applied mathematics

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