Your browser is out-of-date!

For a richer surfing experience on our website, please update your browser.Update my browser now!


Dharamashi Rabari

Assistant Professor
PhD (Chemical Engineering), IIT Guwahati
Areas of interest
Ionic Liquids Applications, Extraction based Separation, Equation of State Modelling, Stochastic Optimization, Molecular Simulation

Dharamashi Rabari is an Assistant Professor at School of Engineering and Applied Science, Ahmedabad University. He has completed his PhD (Chemical Engineering) at IIT Guwahati. Prior to his doctoral study, he worked as an Assiatant Professor at Institute of Diploma Studies, Nirma University and G H Patel College of Engineering and Technology, Vallabh Vidynagar for five years.  He obtained his M. Tech. in Chemical Engineering from Nirma University in 2008 and his B.E. in Chemical Engineering from Gujarat University in 2005. 

His research interests are in the fields of Ionic Liquids applications, extraction based separation, eqaution of state modelling, process simulation and optimization. He is also inetrested in molecular simulation.

Ionic Liquids (ILs) are composed of large organic cations and inorganic/organic anions. They have negligible vapor pressure, tunable viscosity, wider liquid range, high thermal and chemical stability. ILs are green solvents as compared to volatile organic solvents. Prior to application, different ILs must be considered for the study of equilibrium, separation selectivity, process optimization and design. Dr. Rabari works in the following research domains. 



Generally Cubic Equation Of State (CEOS) represents PVT behaviour of gases and liquids.  CEOS can be combined with different equilibrium criteria (Fugacity, Activity Coefficient) for the prediction of properties like density, Vapor Liquid Equilibrium (VLE) data and Henry's Constant etc. The density of different ILs as a function of tempreature has been predicted using Predictive SRK EOS with different alpha functions. The Vapor Liquid Equilibrium (VLE)  behavior of CO2 with different solvents (Six Organic Solvents + Six Ionic Liquids) have been predicted using Peng Robinson (PR) EOS. 



Butanol can be considered as alternative energy source. The well-known process Acetone-Butanol-Ethanol (ABE) fermentation produces all three organic compounds under anaerobic conditions. The increasing concentration of alcohols deactivates the growth of micro-organisms. Hence the simultaneous removal of butanol and ethanol is required for higher productivity. Phosphonum based hydrophobic ILs were used as solvents for extraction of alcohols from water. To study extraction efficiency, the equilibrium data (tie line data) were generated for three systems. The equilbrium data were correlated with Gibbs's free energy models (NRTL and UNIQUAC). The equilbrium data were also predicted with COSMO-SAC model.



Particle Swarm Optimization (PSO) is an evolutionary algorithm based on social behavior of birds in swarm. PSO is robust as it evaluates fewer function values during the simulation as compared to Genetic Algorithm (GA). PSO was used for the optimization of multistage counter current extractor with Isothermal Sum Rate (ISR) method. ISR calculates the stagewise compositions and flow rates in separation unit. Binary Interaction Parameters generated by NRTL model (correlating experimental equilibrium data) were used as input variables in ISR. The total extractor cost were optimized with solvent flow rate and number of stages as variables. The effect of population size and inertia weight on the solution quality were also studied.  


Molecular Dynamics: 

Molecular Dynamics is a simulation based on the interaction of atoms/molecules. It proceeds through different steps; minimization, equilibration and production. Newton's law of motion are used to study atoms trajectory. The forces between particles are defined by force field. The density of pure IL and water-IL miscibility were studied by MD in NAMD freeware considering OPLS-All Atoms force field. Intially IL structures prepared and optimized in GAUSSIAN. The optimized molecules were placed in simulation box with providig pereodic boundary conditions. The deviation in predicted density from experimental values was within 5%.

1. Dharamashi Rabari, Tamal Banerjee. "Biobutanol and n-propanol Recovery using a low density phosphonium based Ionic liquid at T=298.15 K and p=1 atm", Fluid Phase Equilibria 355 (2013) 26–33.

2. C.V. Manohar, Dharamashi Rabari, A. Ananth Praveen Kumar, Tamal Banerjee, Kaustubha Mohanty, “Liquid–liquid equilibria studies on ammonium and phosphonium based ionic liquid–aromatic–aliphatic component at T = 298.15 K and p = 1 bar: Correlations and a-priori predictions”, Fluid Phase Equilibria 360 (2013) 392– 400.

3. Dharamashi Rabari, Nikunj Patel, Milind Joshipura, Tamal Banerjee, “Densities of Six Commercial Ionic Liquids: Experiments and Prediction Using a Cohesion Based Cubic Equation of State”, Journal of Chemical and Engineering Data 59 (2014) 571–578.

4. Dharamashi Rabari, Tamal Banerjee, “Experimental and Theoretical Studies on the Effectiveness of Phosphonium-Based Ionic Liquids for Butanol Removal at T = 298.15 K and p = 1 atm”, Industrial and Engineering Chemistry Research 53 (2014) 18935-18942.


Monsoon 2015-16:

  • Thermodynamics-1
  • Petroleum Refining and Petrochemicals

Winter 2016:

  • Thermodynamics-2
  • Chemical Engineering Laboratory-III

  • Chair, UG Program, SEAS
  • President, NIDSAA (Nirma Institute of Diploma Studies Alumni Association) during 2016-2018
  • Member (Life Time), Indian Society for Technical Education


232, School of Engineering and Applied Science,
Ahmedabad University,
Ahmedabad Education Society FP. 4,
Near Commerce Six Roads,
Navrangpura, Ahmedabad - 380 009, India