Prediction of the Thermal Conductivity of Liquid Alkane Mixtures

Abstract

Alkane Mixtures f Liquids f Mixing Rules f Prediction / Thermal ConductivityThe paper is devoted to the study of the applicability to binary mixtures of an extension of the van der Waals model for the description of the thermal conductivity of pure liquid alkanes. This study is based upon recently obtained accurate data for the binary mixtures methane + ethane and n-heptane + 2,2,4-trimethylpentane. -A reduced thermal conductivity for the mixtures is defined such that its density dependence is identical to that of the pure components. -Furthermore, a scheme is developed that enables the prediction of the thermal conductivity of the mixtures at any temperature 7 ' I 0.7 T,, and any pressure, solely from data for the pure components, i.e. without resort to any experimentally adjusted parameters for the mixtures. Such scheme is able to reproduce the available thermal conductivity data for the above mentioned systems with an error of the order of *2% at a 2a level (a being the standard deviation), which is commensurate with the combined uncertainty of the experimental results for the pure components and for the mixtures.

Density and Viscosity Measurements of 2,2,4-Trimethylpentane (Isooctane) from 198 K to 348 K and up to 100 MPa

“…A value of V 0 (323.16 K) ) 90.27 × 10 -6 m 3 mol -1 was initially assumed (Fareleira et al, 1990), and a characteristic volume for each isotherm was found by superimposing the isotherms on a single curve with the form The values for the characteristic volumes are presented in Table 2. The coefficients c i were determined by least squares fitting to the entire set of points and are listed in Table 4.…”

Modeling Thermal Conductivity of Concentrated and Mixed-Solvent Electrolyte Systems

“…The results obtained from these methods depend on the selection of reference fluids, which may have a substantial influence on the calculated values for liquid mixtures, especially when the system goes beyond binary. Several hard-sphere theory-based models have been developed for organic mixtures. – However, these models are focused on mixtures containing components with similar chemical structures. A number of other correlation methods have been limited only to binary systems…”

Evaluation of Thermal Conductivity of Gases at Atmospheric Pressure through a Corresponding States Method

“…Roy and Thodos , reported different functional forms and group contributions for evaluation of this part of reduced thermal conductivity for the chemical families as reported by Poling et al as “ Saturated hydrocarbons; Olefins; Acetylenes; Naphtalenes and Aromatics; Alcohols; Aldehydes, Ketones, Ethers, and Esters; Amines and Nitriles; Halides; and Cyclic compounds ”. Application of low-pressure gas viscosity, heat capacity at constant volume, universal gas constant, molecular weight, acentric factor (ω), and reduced temperature to evaluate the thermal conductivity of gases was studied by Chung et al , The effects of pressure have been also taken into account in several efforts introducing the excess thermal conductivity correlations − or using the transport property prediction method (TRAPP). , …”