Influence of temperature and composition on the prediction of the thermophysical properties of steel (i)

Resumen

A proposal for the modeling of two thermo physical properties of steel as a function of the temperature and composition is presented. A residual method based on a progressive adjustment of functions is applied to estimate two thermo physical properties (electrical resistivity and linear thermal expansion) corresponding to 32 steels types with a composition (C, Mn , P, S, Si, Ni, Cr, Mo, V) and that operate in a temperature range from 0oC to 800oC. The validation and adjustment of the proposed models is made by comparing it with available experimental data. The weaker adjustment was achieved in the modeling of the electrical resistivity of AISI-SAE 405 steel with a mean and maximum deviation obtained of 8,2% and -9,9% respectively, while the best indices were obtained in the estimation of the density of AISI-SAE 1030 steel with a mean and maximum deviation obtained from 0,9% and 1,3% respectively. In all cases, the agreement of the proposed model is good enough to be considered satisfactory for practical design. Regarding the elements of study presented, there is no evidence of similar expressions in the available and known literature, which is why they are considered a scientific novelty.

Keywords:

thermo physical properties, progressive adjustment method, experimental data generalization, mean absolute error.
Publicado
2022-05-05
Cómo citar
Camaraza-Medina, Y. (2022). Influence of temperature and composition on the prediction of the thermophysical properties of steel (i). Universidad Y Sociedad, 14(4), 382-394. Recuperado a partir de https://rus.ucf.edu.cu/index.php/rus/article/view/2882