Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study

Baled, Hseen O.; Gamwo, Isaac K.; Enick, Robert M.; McHugh, Mark A.

doi:10.1016/j.fuel.2018.01.002

Cited by 66 publications

(53 citation statements)

References 261 publications

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“…D ρ drops upon isothermal compression above the critical P 54 . More sophisticated models for predicting the self-diffusion coefficient (and viscosity) of fluids have been developed over the last four decades 55 – 57 ; reviewing them falls beyond the scope of the present work. The popular simple relation D η / ρ 1/3 = constant, which is a modification of the Stokes–Einstein–Sutherland relation without a hydrodynamic diameter 51 , does not describe well our experimental results along the 300 K isotherm.…”

Section: Resultsmentioning

confidence: 99%

Diffusion in dense supercritical methane from quasi-elastic neutron scattering measurements

et al. 2021

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Methane, the principal component of natural gas, is an important energy source and raw material for chemical reactions. It also plays a significant role in planetary physics, being one of the major constituents of giant planets. Here, we report measurements of the molecular self-diffusion coefficient of dense supercritical CH4 reaching the freezing pressure. We find that the high-pressure behaviour of the self-diffusion coefficient measured by quasi-elastic neutron scattering at 300 K departs from that expected for a dense fluid of hard spheres and suggests a density-dependent molecular diameter. Breakdown of the Stokes–Einstein–Sutherland relation is observed and the experimental results suggest the existence of another scaling between self-diffusion coefficient D and shear viscosity η, in such a way that Dη/ρ=constant at constant temperature, with ρ the density. These findings underpin the lack of a simple model for dense fluids including the pressure dependence of their transport properties.

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Section: Resultsmentioning

confidence: 99%

Diffusion in dense supercritical methane from quasi-elastic neutron scattering measurements

et al. 2021

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“…The literature is centered around semi-empirical expressions based on parameters such as the free volume that are not uniquely defined for real atoms and molecules, and viscosity data have typically been fitted to empirical polynomial expressions not obviously linked to the underlying physics. [1][2][3][4][5] The density and temperature ranges where they are applicable are also limited.…”

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confidence: 99%

Communication: Simple liquids’ high-density viscosity

Costigliola

Pedersen

Heyes

et al. 2018

The Journal of Chemical Physics

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“…The recent work by Baled et al 54 compares the performance of several viscosity models available for hydrocarbons. These authors report that empirical models, such as the Lohrenz et al, 55 are not recommended for high-pressure viscosity calculations due to the lack of predictability of the parameters needed in the models.…”

Section: Methodsmentioning

confidence: 99%

Modelling of Diesel fuel properties through its surrogates using Perturbed-Chain, Statistical Associating Fluid Theory

Vidal

Rodríguez

Koukouvinis

et al. 2018

International Journal of Engine Research

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The Perturbed-Chain, Statistical Associating Fluid Theory equation of state is utilised to model the effect of pressure and temperature on the density, volatility and viscosity of four Diesel surrogates; these calculated properties are then compared to the properties of several Diesel fuels. Perturbed-Chain, Statistical Associating Fluid Theory calculations are performed using different sources for the pure component parameters. One source utilises literature values obtained from fitting vapour pressure and saturated liquid density data or from correlations based on these parameters. The second source utilises a group contribution method based on the chemical structure of each compound. Both modelling methods deliver similar estimations for surrogate density and volatility that are in close agreement with experimental results obtained at ambient pressure. Surrogate viscosity is calculated using the entropy scaling model with a new mixing rule for calculating mixture model parameters. The closest match of the surrogates to Diesel fuel properties provides mean deviations of 1.7% in density, 2.9% in volatility and 8.3% in viscosity. The Perturbed-Chain, Statistical Associating Fluid Theory results are compared to calculations using the Peng–Robinson equation of state; the greater performance of the Perturbed-Chain, Statistical Associating Fluid Theory approach for calculating fluid properties is demonstrated. Finally, an eight-component surrogate, with properties at high pressure and temperature predicted with the group contribution Perturbed-Chain, Statistical Associating Fluid Theory method, yields the best match for Diesel properties with a combined mean absolute deviation of 7.1% from experimental data found in the literature for conditions up to 373°K and 500 MPa. These results demonstrate the predictive capability of a state-of-the-art equation of state for Diesel fuels at extreme engine operating conditions.

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Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study

Cited by 66 publications

References 261 publications

Diffusion in dense supercritical methane from quasi-elastic neutron scattering measurements

Diffusion in dense supercritical methane from quasi-elastic neutron scattering measurements

Communication: Simple liquids’ high-density viscosity

Modelling of Diesel fuel properties through its surrogates using Perturbed-Chain, Statistical Associating Fluid Theory

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