ASSESSMENT OF SLAG MELT STRUCTURE USING ADAPTIVE SEGMENTED REGRESSION MODEL OF TEMPERATURE-DEPENDENT VISCOSITY AND ELECTRICAL CONDUCTIVITY
DOI:
https://doi.org/10.34185/1991-7848.itmm.2024.01.026Keywords:
slag, viscosity, electrical conductivity, temperature, structure, adaptive segmented regression model.Abstract
The expediency of using an adaptive segmented regression model for the analysis of logarithmic dependences of viscosity and electrical conductivity on temperature to assess the structure of slag melts is shown. Calculated values of the activation energies of viscosity ( ) and electrical conductivity ( ) in different temperature ranges. The obtained calculation results confirm that the viscosity and electrical conductivity of slag melts characterize the interaction of various structural particles (ions and/or their groups) and can be used in the study of the structure of slag melts. It was established that the activation energy of viscosity and electrical conductivity decreases as the temperature of slag melts increases. The performed calculations of the indicator n=En/Ex indicate that it can be a criterion for evaluating the structure of the slag melt, when n >1, the slag melt is a heterogeneous system, and when n < 1, it is a homogeneous system. Viscosity and electrical conductivity are interdependent properties and can be predicted if there is data on one of the properties, provided the value of n is known.
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