Liquid thermodynamic-transport property coupling: Linking thermal conductivity to density using hidden scale invariance

Thermal conductivity is a key thermophysical parameter in the energy transfer process and is important for the design and optimization of heat transfer equipment. This work monotonically linearizes the logarithm of the reduced thermal conductivity with respect to the reduced density of 95 pure fluids and 66 mixtures (including ternary and quintuple mixtures) based on hidden scale invariance. Quasiuniversality is used to make the images of different fluids as a function of the reduced thermal conductivity vs the reduced density coincide. A generalized predictive model for the liquid thermal conductivity is constructed. The average absolute relative deviation of the 26 327 pure fluid thermal conductivity experimental data is 3.6%, and the average absolute relative deviation of the 7033 mixtures experimental data points is 4.8%. In addition, the critical enhancement of thermal conductivity is considered. The new model contains only four global parameters, no specific fitting parameters for pure fluids and no interaction parameters for mixtures.

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Publication Details

Journal
Physics of Fluids
Published
2026-01-01
DOI
https://doi.org/10.1063/5.0311118
Primary Topic
Thermal properties of materials
Type
article
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article

Liquid thermodynamic-transport property coupling: Linking thermal conductivity to density using hidden scale invariance

X.-L. Wang, Maoqiong Gong, Xiaoxian Yang, Yanxing Zhao et al.
Physics of Fluids
Thermal properties of materials
article

Liquid thermodynamic-transport property coupling: Linking thermal conductivity to density using hidden scale invariance

X.-L. Wang, Maoqiong Gong, Xiaoxian Yang, Yanxing Zhao, Xueqiang Dong, Hao Guo
article en

Abstract

Thermal conductivity is a key thermophysical parameter in the energy transfer process and is important for the design and optimization of heat transfer equipment. This work monotonically linearizes the logarithm of the reduced thermal conductivity with respect to the reduced density of 95 pure fluids and 66 mixtures (including ternary and quintuple mixtures) based on hidden scale invariance. Quasiuniversality is used to make the images of different fluids as a function of the reduced thermal conductivity vs the reduced density coincide. A generalized predictive model for the liquid thermal conductivity is constructed. The average absolute relative deviation of the 26 327 pure fluid thermal conductivity experimental data is 3.6%, and the average absolute relative deviation of the 7033 mixtures experimental data points is 4.8%. In addition, the critical enhancement of thermal conductivity is considered. The new model contains only four global parameters, no specific fitting parameters for pure fluids and no interaction parameters for mixtures.

Physics of FluidsVol. 38(1)
Chemnitz University of Technology (DE), Jinan Institute of Quantum Technology (CN), Technical Institute of Physics and Chemistry (CN), University of Chinese Academy of Sciences (CN)
Affordable and clean energy
Openalex Percentile: Top 92%
Thermal properties of materials
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Liquid thermodynamic-transport property coupling: Linking thermal conductivity to density using hidden scale invariance — X.-L. Wang, Maoqiong Gong, et al. · Physics of Fluids (2026) | TGRS Research Map | TGRS