Phase Equilibria in Ionic Liquid Facilitated Liquid-Liquid Extractions

Häftad, Engelska, 2020

Av Anand Bharti, Debashis Kundu, Dharamashi Rabari, Tamal Banerjee

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This book provides a comprehensive overview of ionic liquid based separation techniques. The glimpse of thermodynamic predictive models along with global optimization techniques will help readers understand the separation techniques at molecular and macroscopic levels. Experimental and characterization techniques are coupled with model based predictions so as to provide multicomponent data for the scientific community. The models will focus more on the a-priori based predictions which gives higher emphasis on hydrogen-bonded systems. Particle Swarm Optimization (PSO) technique will also eventually help the readers to apply optimization technique to an extraction process. The overriding goal of this work is to provide pathways for leading engineers and researchers toward a clear understanding and firm grasp of the phase equilibria of Ionic Liquid systems.

Produktinformation

Utgivningsdatum2020-06-30
Mått156 x 234 x undefined mm
Vikt460 g
FormatHäftad
SpråkEngelska
Antal sidor222
FörlagTaylor & Francis Ltd
ISBN9780367573799

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Anand Bharti is currently a Research Scholar in the Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, IndiaDebashis Kundu is currently a Research Scholar in the Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, IndiaDharamashi Rabari is Assistant Professor at the Institute of Engineering and Technology, Ahmedabad University, Ahmedabad, IndiaTamal Banerjee is Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Guwahati, India.

1. Introduction2. Liquid-liquid Equilibria: Experiments and Predictions by Gibb’s free energy models3. COSMO-SAC: A predictive model for calculating thermodynamic properties on a-priori basis4. Application of COSMO-SAC in complex phase behavior: Vapor-Liquid-Liquid Equilibria5. Modification in COSMO-SAC6. Particle Swarm Optimization and application to LLE7. Cuckoo Search Optimization and application to LLE