Viscosity of [bmim][PF6] and [bmim][BF4] at High Pressure

Tomida, Daisuke; Kumagai, A.; Qiao, Ke; Yokoyama, Chiaki

doi:10.1007/s10765-006-0020-y

Cited by 143 publications

(156 citation statements)

References 24 publications

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“…6, the model agrees well with the experimental data of Tomida et al (2006) at temperatures up to 353.15 K and 200 bar. This means that the experimental data of Tekin et al (2007) and Tomida et al (2006) are inconsistent at least around 348 to 353 K. Unfortunately, there is no other experimental data available at temperatures higher than 353.15 K and, thus, we are unable to verify the accuracy of the experimental data of Tekin et al (2007) at high temperatures. Fig.…”

Section: Parameters For Groups Representing Cation Head and Anionsupporting

confidence: 85%

“…In parameter fitting, we choose the experimental data from the research group of Ferrira (Gardas et al, 2007a,b) because of their extensive experimental work on the ILs of interest and the wide temperature range of the data. For BF 4 and PF 6 series of ILs, the experimental data from Yokoyama group (Tomida et al, 2006(Tomida et al, , 2007a are included because of the wide pressure range of the data. In addition, the liquid density data for [C 4 The experimental data used for parameter fitting are summarized in Table 2.…”

Section: Parameters For Groups Representing Cation Head and Anionmentioning

confidence: 99%

“…A growing number of experimental investigations on IL properties have been reported (Gardas et al, 2007a,b;Tomida et al, 2006Tomida et al, , 2007ade Azevedo et al, 2005a,b;Tekin et al, 2007;Esperanca et al, 2006Esperanca et al, , 2008Jacquemin et al, 2007), but due to the vast number of ILs that can be tailored the number of experimental investigations needed is less than adequate. Since experimental measurements are usually time-consuming and expensive, it is desirable to have predictive models for calculating the IL properties.…”

Section: Introductionmentioning

confidence: 99%

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Thermodynamic modeling of ionic liquid density with heterosegmented statistical associating fluid theory

Adidharma

2009

Chemical Engineering Science

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Heterosegmented statistical associating fluid theory is used to represent the density of ionic liquid. Ionic liquid molecule is divided into several groups representing the alkyls, cation head, and anion. The cation of ionic liquid is modeled as a chain molecule that consists of one spherical segment representing the cation head and groups of segments of different types representing different substituents (alkyls). The anion of ionic liquid is modeled as a spherical segment of different type. To account for the electrostatic/polar interaction between the cation and anion, the spherical segments representing cation head and anion each have one association site, which can only cross associate to each other. The parameters for alkyls are obtained from those of the corresponding n-alkanes and the parameters of groups representing cation head and anion, including the two association parameters, are fitted to a group of experimental ionic liquid data. The performance of the model is examined by describing the densities of three important series of imidazolium-based ionic liquids, i.e., [C n

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Section: Parameters For Groups Representing Cation Head and Anionsupporting

confidence: 85%

Section: Parameters For Groups Representing Cation Head and Anionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermodynamic modeling of ionic liquid density with heterosegmented statistical associating fluid theory

Adidharma

2009

Chemical Engineering Science

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“…These measured values are substantially lower than pressure-viscosity coefficients usually measured for common hydrocarbon oils that are usually in the range of 15-25 Gpa −1 at room temperature [23,37,38]. The pressure-viscosity coefficients of [Choline] [Proline] are also compared to some other ionic liquids [39][40][41][42][43][44][45], summarized in [46] and shown in Table 4 . The large variation in pressure-viscosity coefficients between different kinds of fluids are connected to the differences in molecular structure.…”

Section: Resultsmentioning

confidence: 89%

Elastohydrodynamic Performance of a Bio-Based, Non-Corrosive Ionic Liquid

Björling

Bair

et al. 2017

Applied Sciences

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Abstract:To improve performance of machine components, lubrication is one of the most important factors. Especially for use in extreme environments, researchers look for other solutions rather than common lubricant base stocks like mineral oils or vegetable oils. One such example is ionic liquids. Ionic liquids have been defined as molten salts with melting points below 100 • C that are entirely ionic in nature, comprising both cationic and anionic species. The industrial use of ionic liquids is mostly as solvents, electrolytes, extractants and catalysts. In tribological applications, ionic liquids are mainly studied in boundary lubrication and in pure sliding contacts. In this work, the elastohydrodynamic performance of a bio-based, non-corrosive, [choline][L-proline] ionic liquid is evaluated in terms of pressure-viscosity response, film forming capability and friction. The results show a pressure-viscosity coefficient of below 8 GPa −1 at 25 • C, among the lowest reported for any ionic liquid. The ionic liquid generated up to 70% lower friction than a reference paraffin oil with a calculated difference in film thickness of 11%. It was also shown that this ionic liquid is very hygroscopic, which is believed to explain part of the low friction results, but also has to be considered in practical applications since the water content will influence the properties and thus the performance of the lubricant.

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“…With the fitted parameters, the densities of 4 ], and [C n mim][PF 6 ], in which n ranges from 2 to 8, were compared with other available experimental data, and the model was found to well represent the densities of these ionic a These constants are used to calculate the temperature-dependent segment energy of cation head and anion:…”

Section: Parameters For Pure Ilmentioning

confidence: 99%

Prediction of molar volume and partial molar volume for CO2/ionic liquid systems with heterosegmented statistical associating fluid theory

Adidharma

2012

Fluid Phase Equilibria

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a b s t r a c tTo design ionic liquids (ILs) as effective liquid absorbents for CO 2 separation from flue or synthesis gases, it is necessary to know the properties and phase equilibria of the CO 2 /IL systems. The molar volumes of CO 2 /IL mixtures are predicted with the heterosegmented statistical associating fluid theory equation of state. The comparison with the available experimental data shows that the model can be used to predict reliably the molar volumes of CO 2 /IL mixtures from 293 to 413 K and pressures up to 160 bar. In addition, the partial molar volume of CO 2 in CO 2 /IL mixtures and the partial molar volume of CO 2 at infinite dilution in an IL are also predicted.

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Viscosity of [bmim][PF6] and [bmim][BF4] at High Pressure

Cited by 143 publications

References 24 publications

Thermodynamic modeling of ionic liquid density with heterosegmented statistical associating fluid theory

Thermodynamic modeling of ionic liquid density with heterosegmented statistical associating fluid theory

Elastohydrodynamic Performance of a Bio-Based, Non-Corrosive Ionic Liquid

Prediction of molar volume and partial molar volume for CO2/ionic liquid systems with heterosegmented statistical associating fluid theory

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