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By: Anand Bharti (Author) , Debashis Kundu (Author) , Dharamashi Rabari (Author) , Tamal Banerjee (Author)
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The book is aimed to give a comprehensive idea about 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. Further, the database predicted by a-priori basis thermodynamic models will give the readers a ready-to-use database for scientific and engineering calculations. This will be very useful as a-priori based predictions give more emphasize on hydrogen-bonded systems. Particle Swarm Optimization (PSO) technique will eventually help the readers to apply an optimization to an extraction process.
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.
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