2014
DOI: 10.1016/j.ces.2014.08.023
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Thermal conductivity of Ionic Liquids: An estimation approach

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Cited by 29 publications
(12 citation statements)
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“…For tungsten carbide, the product K s qc = 3.3 9 10 8 J 2 K -2 s -1 m -4 , b was 69 lm at a load of 22.7 N and 92 lm at 53.7 N. For most lubricants, K oil was estimated from data in [34] by selecting the nearest fluid type and correcting to the relevant mean contact pressures as suggested in this paper. Atmospheric pressure values for PFPEs were taken from [35] and ionic liquids from [36] and adjusted by assuming a similar conductivity-pressure dependence to other fluid types. In general, this adjustment gives thermal conductivity about 2.5 times larger at 2 GPa than at atmospheric pressure.…”
Section: Temperature Effectmentioning
confidence: 99%
“…For tungsten carbide, the product K s qc = 3.3 9 10 8 J 2 K -2 s -1 m -4 , b was 69 lm at a load of 22.7 N and 92 lm at 53.7 N. For most lubricants, K oil was estimated from data in [34] by selecting the nearest fluid type and correcting to the relevant mean contact pressures as suggested in this paper. Atmospheric pressure values for PFPEs were taken from [35] and ionic liquids from [36] and adjusted by assuming a similar conductivity-pressure dependence to other fluid types. In general, this adjustment gives thermal conductivity about 2.5 times larger at 2 GPa than at atmospheric pressure.…”
Section: Temperature Effectmentioning
confidence: 99%
“…The thermal conductivities of [BMIM][L-trp] are between 0.180 and 0.177 W m -1 K -1 from 283.15 K to 343.15 K, similar with those of ammonium-and phosphonium-based amino acid ionic liquids reported by Gardas et al 26 The thermal conductivities decrease linearly with the increase of temperature, which is in agreement with the tendency of most ionic liquids from published references. 39,40 So we correlate the thermal conductivity of [BMIM][L-trp] as a linear function of temperature here.…”
Section: Pure Componentsmentioning
confidence: 99%
“…The experimental data of this property is available for only a limited number of ionic liquids. Various authors have proposed correlations and predictive models for estimation of thermal conductivity (Albert and Muller, 2014;Carrete et al, 2012;Chen et al, 2014;Hezave et al, 2012;Hosseini et al, 2016;Lazzús, 2015aLazzús, , 2015bLazzús and Pulgar-Villarroel, 2015;Shojaee et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In this context, Albert and Muller (2014) have developed a Quantitative Structure-Property Relationship (QSPR) model for the determination of the thermal conductivity. It uses the experimental data of 39 pure ionic liquids, covering a temperature range of 273.15 K to 390 K. The QSPR model is based on the information of ions constituting it as the only input parameter.…”
Section: Introductionmentioning
confidence: 99%