Entropy-scaling based pseudo-component viscosity and thermal conductivity models for hydrocarbon mixtures and fuels containing iso-alkanes and two-ring saturates

Rokni, Houman B.; Moore, Joshua D.; Gavaises, Manolis

doi:10.1016/j.fuel.2020.118877

Cited by 7 publications

(3 citation statements)

References 54 publications

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“…Fuel properties are generally known to affect spray atomisation [32,33]. Fuel properties such as viscosity and density have been found to significantly change as a function of injection pressure and liquid temperature, as reported by the relevant experimental and computational studies reported recently in [34][35][36][37][38][39][40][41] which reported variations for pressures as high as 3000 bar and temperatures up to 560 K. The influence of those on the cavitation of multi-component fuel surrogates has also been investigated in [42]; significant variations of the cavitation structures and vapour composition have been reported, with pressure increase to values up to 4500 bar. In addition, fuel composition and the mixing of fuels can be additional influential factors.…”

Section: Introductionmentioning

confidence: 86%

Assessment of Injector-Flow Characteristics of Additised and Renewable Diesel Blends Through High-Speed Imaging

Baran¹,

Karathanassis²,

Koukouvinis³

et al. 2023

Preprint

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Section: Introductionmentioning

confidence: 86%

Assessment of Injector-Flow Characteristics of Additised and Renewable Diesel Blends Through High-Speed Imaging

Baran¹,

Karathanassis²,

Koukouvinis³

et al. 2023

Preprint

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“…Their conception is based only on van der Wall dispersion forces [21], as a consequence, their precision decreases at conditions of strong association between molecules and at high pressure and high temperature (HPHT) conditions [22,23]. Recent works from the author's group report measurements and validated modelling methods predicting the variation of diesel fuel properties at pressures as high as 3000bar and temperatures up to approximately 550K [24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Multicomponent Diesel Fuel Spray Surrogates Using Real-Fluid Thermodynamic Modelling

Vaz¹,

Geber²,

Koukouvinis³

et al. 2022

SAE Technical Paper Series

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Computational models widely employed for predicting the dispersion of fuel sprays in combustion engines suffer from well-known drawbacks associated with the utilization of case-dependent empirical phase-change models, describing the conversion of liquid into vapour during fuel injection. The present work couples the compressible Navier-Stokes and energy conservation equations with a thermodynamic closure approximation covering pressures from 0 to 2000bar and temperatures that expand from compressed liquid, vapor-liquid equilibrium to trans/supercritical mixing, and thus, cover the whole range of P-T values that diesel fuel undergoes during its injection into combustion engines. The model assumes mechanical and thermal equilibrium between the liquid, vapour and surrounding air phases and thus, it avoids utilization of case-dependent empirical phase-change models for predicting in-nozzle cavitation and vaporization of fuels. Model development is based on the recent works reported for one mono-component (n-dodecane) and extended here to consider the influence of two multicomponent diesel surrogates. Fuel properties are predicted via the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) equation of state (EoS). The tabulated thermodynamic approach proposed is based on P-T tables, providing very high accuracy across the range of conditions with only a small number of interpolation points. The developed model is validated against experimental data for the liquid and vapour penetration for the Spray A conditions reported in the Engine Combustion Network (ECN) database. Results show good agreement for three non-reacting target conditions. Then, from simulations obtained using the two multi-component fuel surrogates their effect can be quantified on spray development.

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“…Another group also proposed a model based on entropy scaling and a four-parameter model to calculate well-characterized hydrocarbon mixtures and fuels at high pressures . In a general way, entropy scaling has been implemented with the equation of state for several industrial applications and not only focused on the petroleum industry. − …”

Section: Introductionmentioning

confidence: 99%

Helmholtz Scaling: An Alternative Approach to Calculate Viscosity with the PCP-SAFT Equation of State

Gonçalves

Silva

Ndiaye

et al. 2021

Ind. Eng. Chem. Res.

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We propose an alternative approach to calculate viscosity, based on the Rosenfeld scaling theory, which can be applied to pure components and their mixtures in a wide range of temperatures, pressures, and compositions. The Helmholtz scaling (A-scaling) applies the Chapman−Enskog relation, an Ansatz function, and the PCP-SAFT equation of state to predict the viscosity. Although it was implemented with the PCP-SAFT EoS, A-scaling has potential to be coupled with other EoS. Substances from n-alkanes, alcohols, aromatics, ethers, chlorofluorocarbons, carbon dioxide, and nitrogen were used to obtain five parameters to better correlate the experimental viscosity data. We tested the Ascaling performance of predicting the viscosity of 33 binary mixtures at different temperature and pressure conditions. For pure components, the minimum and maximum average absolute deviations (AADs) were 1.51 and 6.53%, respectively. Meanwhile, for mixtures, 0.70 and 23.95% were the lowest and highest values. By comparing this method with the successful and consolidated entropy scaling, it was found that AADs in most of the pure substances and mixtures were lower for A-scaling. Thus, since it is suitable for polar, nonpolar, and hydrogen-bonding substances, Ascaling covers many substances for industry applications, with no usage of adjustable parameters to predict viscosity for mixtures.

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Entropy-scaling based pseudo-component viscosity and thermal conductivity models for hydrocarbon mixtures and fuels containing iso-alkanes and two-ring saturates

Abstract: Entropy-scaling based pseudo-component viscosity and thermal conductivity models for hydrocarbon mixtures and fuels containing iso-alkanes and two-ring saturates. Fuel, 118877..

Cited by 7 publications

References 54 publications

Assessment of Injector-Flow Characteristics of Additised and Renewable Diesel Blends Through High-Speed Imaging

Assessment of Injector-Flow Characteristics of Additised and Renewable Diesel Blends Through High-Speed Imaging

Numerical Simulation of Multicomponent Diesel Fuel Spray Surrogates Using Real-Fluid Thermodynamic Modelling

Helmholtz Scaling: An Alternative Approach to Calculate Viscosity with the PCP-SAFT Equation of State

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