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Vapor-Liquid Equilibrium Data Prediction by Advanced Group Contribution Methods for a Binary System of Cyclopentyl methyl ether and Acetic acid at Atmospheric Pressure

Author Affiliations

  • 1School of Engineering, RK University, Rajkot, INDIA
  • 2Chemical Engineering Department, V.V.P. Engineering College, Gujarat Technological University, Ahmedabad, INDIA

Res.J.chem.sci., Volume 5, Issue (6), Pages 64-72, June,18 (2015)


The isobaric vapour-liquid equilibrium data predictions for the binary system of cyclopentyl methyl ether and acetic acid have been obtained using UNIFAC method and modified UNIFAC Dortmund method. Group identification is done with Dortmund Data Bank and the same has been confirmed by artist free software. The interaction parameters in the UNIFAC method and modified UNIFAC Dortmund method, for the ether group (-CH3O) and acid (-COOH), are used to predict VLE data. Thermodynamic consistency of the predicted VLE data has been checked by the Herington method. The predicted data have been correlated with Van Laar, Wilson and NRTL activity coefficient models. The binary interaction parameters of models had been obtained by regression. The predicted VLE data of UNIFAC method fit much more accurately than that of modified UNIFAC Dortmund method by these activity coefficient models Van Laar, Wilson and NRTL.


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