Reference Correlation of the Thermal Conductivity of Nitrogen from the Triple Point to High Temperatures and Pressures

IF 2.5 4区 工程技术 Q3 CHEMISTRY, PHYSICAL
Sofia G. Sotiriadou, Marc J. Assael, Marcia L. Huber
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Abstract

A new wide-ranging correlation for the thermal conductivity of nitrogen, based on the most recent ab initio dilute gas theoretical calculations, a simplified crossover critical enhancement contribution, and critically evaluated experimental data, is presented. The correlation is designed to be used with a high-accuracy Helmholtz equation of state over the range of temperatures from the triple-point temperature to 1000 K, and at pressures up to 2200 MPa. The estimated expanded uncertainty (at the 95 % confidence level) in the range of validity of the correlation ranges from a minimum of 1 % in the gas phase for temperatures from 102 K to 700 K at pressures up to 1 MPa, to 4 % in the high temperature, high pressure region covering 500 K < T < 744 K at pressures from 1 MPa to 40 MPa. In the gas and supercritical region 112 K < T < 475 K for pressures 1 MPa < p < 1000 MPa the estimated uncertainty is 2.2 %, and for the liquid from 81 K to 122 K at pressures up to 70 MPa the estimated uncertainty is 3 %. The correlation behaves in a physically reasonable manner when extrapolated to temperatures below the triple point and is suitable for use in certain corresponding-states applications. However, care should be taken when using the correlation outside of the experimentally validated range.

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来源期刊
CiteScore
4.10
自引率
9.10%
发文量
179
审稿时长
5 months
期刊介绍: International Journal of Thermophysics serves as an international medium for the publication of papers in thermophysics, assisting both generators and users of thermophysical properties data. This distinguished journal publishes both experimental and theoretical papers on thermophysical properties of matter in the liquid, gaseous, and solid states (including soft matter, biofluids, and nano- and bio-materials), on instrumentation and techniques leading to their measurement, and on computer studies of model and related systems. Studies in all ranges of temperature, pressure, wavelength, and other relevant variables are included.
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