Thermal conductivity of higher n-alkanes

Rastorguev, Yu. L.; Bogatov, G. F.; Grigor'ev, B. A.

doi:10.1007/bf00717208

Cited by 16 publications

(15 citation statements)

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“…(14). Only one source of thermal conductivity data was found (102). The liquid-phase data of Rastorguev et al (102) obtained with a hot-wire apparatus at pressures up to 50 MPa were used to obtain the coefficients in Table 4, and the deviations are shown in Figure 26.…”

Section: ____________________________________________________________mentioning

confidence: 99%

Preliminary models for viscosity, thermal conductivity, and surface tension of pure fluid constituents of selected diesel surrogate fuels

Huber¹

2017

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We describe preliminary models for the viscosity, thermal conductivity, and surface tension for pure fluids that are constituents of four surrogate fuels for ultralow-sulfur diesel fuels developed under the auspices of the Coordinating Research Council (CRC). These fluids do not presently have published reference fluid quality models in the open literature, so we provide here preliminary models based on available data as an interim measure to allow calculations of these properties for both the pure fluids and the four surrogate mixtures. Comparisons with selected experimental pure-fluid data are given, and text files compatible with the NIST REFPROP computer program are included as supplementary material. We also present tabulations of the viscosity, thermal conductivity, and surface tension along the bubble point for four surrogate fuels.

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confidence: 99%

Preliminary models for viscosity, thermal conductivity, and surface tension of pure fluid constituents of selected diesel surrogate fuels

Huber¹

2017

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“…Naziev (1973) Rastorguev (1972) Rastorguev (1974) Naziev (1973) Rastorguev (1972 Mukhamedzianow (197 1 ) Mukhamedzianow (1972) Rastorguev (1974) Mukhamedzianow (197 1) Rastorguev (1974) Rastorguev (1974) Rastorguev (1974) Rastorguev (1974 A generalized equation for the vapor pressures of the alcohols was also derived as follows log,o (P") = 17.5832 + 0.96958~ -(3175.08 + 346.908n)T-' -(1.99352 + 0.124927n)T X lo-* Naziev (1973) Rastorguev (1972) Rastorguev (1974) Naziev (1973) Rastorguev (1972 Mukhamedzianow (197 1 ) Mukhamedzianow (1972) Rastorguev (1974) Mukhamedzianow (197 1) Rastorguev (1974) Rastorguev (1974) Rastorguev (1974) Rastorguev (1974 A generalized equation for the vapor pressures of the alcohols was also derived as follows log,o (P") = 17.5832 + 0.96958~ -(3175.08 + 346.908n)T-' -(1.99352 + 0.124927n)T X lo-*…”

Section: The Effective Carbon Number (Ecn)mentioning

confidence: 99%

Prediction of the thermal conductivity of liquids and liquid mixtures including crude oil fractions

Teja

Tarlneu

1988

Can J Chem Eng

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A new method based on the Effective Carbon Number is presented for the prediction of the thermal conductivity of liquids and liquid mixtures. The Effective Carbon Number for each substance of interest can be calculated from its thermal conductivity at a reduced temperature of 0.6. The thermal conductivities of isoalkanes, cycloalkanes, aromatics, alkanes, carboxylic acids, ketones, esters and aldehydes over a range of temperatures were predicted using this method and the results were compared with experimental values. The thermal conductivities of defined mixtures were also predicted using a quadratic mixing rule for the Effective Carbon Number. Lastly, the thermal conductivities o f undefined mixtures such as crude oil fractions were calculated by treating each fraction as a single pseudocomponent. In all cases studied, calculated results compared favorably with experimental values.Une nouvelle methode bade sur le nombre de carbone efficace est prCsentCe pour la prediction de la conductivitk thermique de liquides et de melanges liquides. Le nombre de carbone efficace pour chaque substance revCtant un inter& peut Stre calculi ? i partir de sa conductivitC thermique a une tempkrature reduite de 0,6. Les conductivites thermiques des isoalkanes, des cycloalkanes, des aromatiques, des alkanes, des acides carboxyliques, des &tones, des esters et des aldehydes sur une large gamme de temperatures, ont CtC prtdits grlce B cette mtthode et les risultats ont CtC compares aux valeurs experimentales. Les conductivitis thermiques des mklanges dCfinis ont Cgalement CtC predites a I'aide d'une rkgle de melange quadratique pour le nombre de carbone efficace. Enfin, les conductivites thermiques de melanges non definis tels que les fractions de pitrole brut ont Cte calculees en traitant chaque fraction comme un pseudo-composant unique. Dans tous les cas CtudiCs, les rCsultats calculks se comparent favorablement aux valeurs experimentales Keywords: thermal conductivity prediction, liquid mixture conductivities. crude oil fraction conductivities.he thermal conductivity is an important property in

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“…Figures 5-8 compare the calculated results with the experimental values for some of these binary systems. The results in Table VI show that these mixing rules can be used with reasonable confidence for 10) Vargaftik (1975), (11) Kazaryan and Ryabtsev (1969), (12) Touloukian et al (1975), (13) Ziebland and Needham (1968), ( 14) Carmichael et al (1966), (15) Kandiyoti et al ( 1972), ( 16) Malian et al (1972), (17) Tufeu and Le Neindre (1980), (18) Moszynski and Singh (1973), (19) Johnston and Grilly (1946), (20) Ikenberry and Rice (1963), (21) Carmichael et al (1963), (22) Brykov et al (1970), (23) Ogiwara et al (1980), (24) Carmichael and Sage (1967), (25) Sakiadis and Coates (1957), ( 26) Mustafaev (1972a), ( 27) Mustafaev (1972b), (28) Bogatov et al (1969, ( 29) Mustafaev (1973), (30) Rastorguev et al (1974), (31) Rastorguev and Pugach (1970), ( 32) Uhlir ( 1952), ( 33) Venart (1965). 6Data sources not included in the calculation.…”

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confidence: 99%

Generalized multiparameter correlation for nonpolar and polar fluid transport properties

Chung¹,

Ajlan²,

Lee³

et al. 1988

Ind. Eng. Chem. Res.

974

664

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Correlations are presented for the viscosity and thermal conductivity of nonpolar, polar, and associating fluids over the wide ranges of PVT states. Empirically correlated density-dependent functions were developed to extend the kinetic gas theory to include dense fluids. Extensive comparisons with experimental data of pure fluids are made. The average absolute deviation is 4% for viscosity predictions and 6% for thermal conductivity predictions. The conformal solution model mixing rules have shown to yield predictions of viscosity and thermal conductivity for nonassociating mixtures of sufficient accuracy for most industrial uses. The viscosity and thermal conductivity predictive procedure is simple and straightforward. It requires only critical constants and acentric factors for nonpolar fluids. For polar and associating fluids, the dipole moment and an empirically determined association parameter, in addition, are required.

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Thermal conductivity of higher n-alkanes

Cited by 16 publications

References 1 publication

Preliminary models for viscosity, thermal conductivity, and surface tension of pure fluid constituents of selected diesel surrogate fuels

Preliminary models for viscosity, thermal conductivity, and surface tension of pure fluid constituents of selected diesel surrogate fuels

Prediction of the thermal conductivity of liquids and liquid mixtures including crude oil fractions

Generalized multiparameter correlation for nonpolar and polar fluid transport properties

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