The thermal conductivity of R22, R142b, R152a, and their mixtures in the liquid state

Kim, S. H.; Kim, D. S.; Kim, M. S.; Ro, Sung Tack

doi:10.1007/bf00502116

Cited by 47 publications

(26 citation statements)

References 8 publications

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“…The observed predictions for ternary compositions indicated the following: the Scheffé and Padé (2, 2) models work well when mass fractions are used whereas the Wassiljewa model fares better with mole fractions as the composition variable. Compared to previous suggestions [3][4][5]7,10], these models feature far fewer adjustable parameters yet provide acceptable data correlation performance and predictions for ternary mixtures. Furthermore, the adjustable constants in the mixture rule were temperature-and pressure-independent.…”

Section: Resultsmentioning

confidence: 87%

“…For refrigerants, several investigators [2][3][4][5][6][7][8] represented the combined temperature and pressure dependence, of pure and specific binary and ternary refrigerant mixtures, by the following polynomial:…”

Section: Pure-component Thermal Conductivitymentioning

confidence: 99%

“…Several investigators [3][4][5]7,10] effectively fit binary refrigerant mixture data to polynomial expansions of the form,…”

Section: Mixture Thermal Conductivitymentioning

confidence: 99%

“…Such fluids include alkanes employed as heat carriers and thermal storage materials [1] and HFC refrigerants used in refrigeration and heat pump systems [2][3][4][5][6][7][8][9][10][11][12][13][14]. The thermal conductivity is a relevant transport property affecting heat transfer performance.…”

Section: Introductionmentioning

confidence: 99%

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Correlating Thermal-Conductivity Data for Ternary Liquid Mixtures

Focke

2008

Int J Thermophys

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The performance of several semi-empirical expressions for correlating the temperature, pressure and composition dependence of the thermal conductivity (λ) of pure organic liquids and mixtures was investigated. The temperature and pressure dependence is adequately represented by Chisholm approximants of order (1, 1) or (2, 1) with five and eight adjustable constants, respectively. The fully predictive Vredeveld equation uses mass fractions as the composition variable. It significantly underestimated λ values for the R32 + R125 + R134a ternary refrigerant system. Binary predictive models with one or two adjustable parameters include the quadratic Scheffé polynomial and its corresponding Padé approximant, the cubic "Margules" model and the theoretical Wassiljewa equation. It was found that the Padé (2, 2) approximant and the Wassiljewa equation satisfactorily correlated the extensive ternary mixture data published by Rowley and coworkers. Best results were obtained when the mole fraction was used as a composition variable. The predictive capability of the models was checked using the R32 + R125 + R134a ternary refrigerant system. Combining rules were used for cross parameters such that the temperature and pressure dependence was incorporated via the pure fluid properties. Model parameters were fixed using binary data alone. In this case, the quadratic Scheffé, Padé (2, 2), and Wassiljewa (with temperature-and pressure-independent parameters) all provided satisfactory predictions for ternary mixtures.

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Section: Resultsmentioning

confidence: 87%

Section: Pure-component Thermal Conductivitymentioning

confidence: 99%

“…Several investigators [3][4][5]7,10] effectively fit binary refrigerant mixture data to polynomial expansions of the form,…”

Section: Mixture Thermal Conductivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Correlating Thermal-Conductivity Data for Ternary Liquid Mixtures

Focke

2008

Int J Thermophys

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“…Afshar and Saxena [31] Assael et al [18] Geller et al [19] Gross et al [20] Gurova et al [21] Kim et al [22] Kruppa and Straub [27] Le Neindre and Garrabos [23] Taxis-Reischl [32] Pressure P , MPa…”

Section: Primary Datamentioning

confidence: 99%

A Multiparameter Thermal Conductivity Equation for 1,1-Difluoroethane (R152a) with an Optimized Functional Form

2006

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The application of an optimization technique to the available experimental data has led to the development of a new multiparameter equation λ = λ (T , ρ) for the representation of the thermal conductivity of 1,1-difluoroethane (R152a). The region of validity of the proposed equation covers the temperature range from 220 to 460 K and pressures up to 55 MPa, including the near-critical region. The average absolute deviation of the equation with respect to the selected 939 primary data points is 1.32%. The proposed equation represents therefore a significant improvement with respect to the literature conventional equation. The density value required by the equation is calculated at the chosen temperature and pressure conditions using a high accuracy equation of state for the fluid.

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Saturated liquid thermal conductivity correlations for some new refrigerants

Srinivasan

Oellrich

1998

Int. J. Energy Res.

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This paper presents a set of linear equations describing the temperature dependence of the saturated liquid thermal conductivity covering the region of engineering importance for the new hydrofluorocarbons (HFC) 32, 125, 134a, 143a, 152a and hydrochlorofluorocarbons (HCFC) 123, 124, 141b and 142b. Available experimental data in the literature have been considered to arrive at a correlation of the form λ=A−BT. It is observed that there exists an appreciable discrepancy between various sources of data in spite of the same purity of samples used and the same measurement technique being adopted. The correlations obtained here could be useful in engineering design applications. © 1998 John Wiley & Sons, Ltd.

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The thermal conductivity of R22, R142b, R152a, and their mixtures in the liquid state

Cited by 47 publications

References 8 publications

Correlating Thermal-Conductivity Data for Ternary Liquid Mixtures

Correlating Thermal-Conductivity Data for Ternary Liquid Mixtures

A Multiparameter Thermal Conductivity Equation for 1,1-Difluoroethane (R152a) with an Optimized Functional Form

Saturated liquid thermal conductivity correlations for some new refrigerants

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