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Synthesis of Ionic Liquid Based Electrolytes, Assembly of Li-ion Batteries, and Measurements of Performance at High Temperature
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Published on: December 20, 2016

Viscosity mixing rules for binary systems containing one ionic liquid.

Mohammed Tariq1, Tausif Altamash, Daniel Salavera

  • 1Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Av. Da Republica, 2780-157 Oeiras, Portugal. tariq@itqb.unl.pt

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|May 8, 2013
PubMed
Summary
This summary is machine-generated.

This study evaluates four common viscosity mixing rules for ionic liquid (IL) and molecular solvent (MS) mixtures. Results show significant deviations, highlighting the need for improved models in predicting IL+MS mixture viscosity.

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Area of Science:

  • Physical Chemistry
  • Thermodynamics
  • Fluid Dynamics

Background:

  • Ionic liquids (ILs) and molecular solvents (MS) are crucial in various chemical processes.
  • Accurate prediction of mixture viscosity is essential for process design and optimization.
  • Existing viscosity mixing rules often struggle with the complex interactions in IL+MS systems.

Purpose of the Study:

  • To assess the applicability of four widely used viscosity mixing rules for binary mixtures of ionic liquids and molecular solvents.
  • To evaluate the predictive accuracy of Hind, Grunberg-Nissan, Herric, and Katti-Chaudhri models.
  • To analyze the interaction parameters derived from these models.

Main Methods:

  • Compilation of over one hundred binary (IL+MS) mixture viscosity data points from existing literature.
  • Application of four viscosity mixing rules: Hind (Hi), Grunberg-Nissan (G-N), Herric (He), and Katti-Chaudhri (K-C).
  • Calculation and analysis of average absolute deviations (AADs) and average relative deviations (ARDs) between experimental and predicted viscosities.
  • Determination and discussion of the trends in interaction parameters for each rule.

Main Results:

  • All four evaluated viscosity mixing rules exhibited notable deviations when applied to (IL+MS) binary systems.
  • The predictive performance varied among the rules, indicating no single rule is universally superior for these mixtures.
  • Analysis of interaction terms revealed trends that offer insights into the molecular interactions within the mixtures.

Conclusions:

  • The commonly used viscosity mixing rules show limited applicability for predicting the viscosity of ionic liquid-molecular solvent mixtures.
  • Significant discrepancies between predicted and experimental values underscore the complexity of these systems.
  • Further development of viscosity models tailored for IL+MS systems is warranted to improve predictive accuracy.