Resumen

ROQUE-VILLALONGA, Gabriel et al. Empirical modelation of thermophysical properties of austenitic stainless steel. Ingeniería Mecánica [online]. 2023, vol.26, n.1, pp. 16-24.  Epub 12-Sep-2023. ISSN 1815-5944.

The prediction of steel thermophysical properties are special interest for thermal engineering applications. This work aims to obtaining a method for predicting the temperature influence and composition on the variation on the austenitic stainless steels thermophysical properties. Applying the Flash Laser method, 3 255 experimental samples for rolled and annealed AISI steels (301, 302, 304, 310 and 316) was obtained, which summarize the variation of thermal conductivity, specific heat, diffusivity and density, for known compositions (in mass percent) of C, Mn, P, S, Si, Ni, Cr, Mo, V, in a temperature range from 0 to 800 ?. By means machine learning techniques, the available experimental data were generalized, developing a correlation that fits the experiments validity range, with a deviation of 25% for the 90% of the available experimental data. In all ca.

Palabras clave : austenitic stainless steel; empirical models; machine learning..

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