Abstract
The objective of this work was to find a suitable correlation that best fits the thermal conductivity of metals as a function of temperature. It was found that a multiple linear regression model of the form k=aT b e cT e d/T gives the smallest deviations from experimental data among various models. The coefficient of determination, R 2, lies between 0.97 and unity, except for thorium (R 2=0.86). The average of the absolute relative error, AARE, in the predicted data is less than 4.75%, except for iron (about 11.7%), and the overall AARE for all data points is about 1.4%.
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Abu-Eishah, S.I. Correlations for the Thermal Conductivity of Metals as a Function of Temperature. International Journal of Thermophysics 22, 1855–1868 (2001). https://doi.org/10.1023/A:1013155404019
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DOI: https://doi.org/10.1023/A:1013155404019