ISIJ International
Online ISSN : 1347-5460
Print ISSN : 0915-1559
ISSN-L : 0915-1559
Fundamentals of High Temperature Processes
Electrical Conductivity Calculation of Molten Multicomponent Slag by Neural Network Analysis
Yusuke HaraguchiMasashi NakamotoMasanori SuzukiKiyoshi Fuji-taToshihiro Tanaka
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2018 Volume 58 Issue 6 Pages 1007-1012

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Abstract

Only a few models for estimating electrical conductivity of molten slag have been developed, which are limited to systems with certain types of components. In this study, a new method for estimating the electrical conductivity of molten slag through neural network calculations is proposed and is compared with previous estimation approaches. The present estimation approach can reproduce the electrical conductivity of molten slag composed of SiO2, CaO, MgO, MnO, Al2O3, FeO, Fe2O3, and Na2O to an uncertainty of 30%. We found that the neural network calculation is applicable to various kinds of molten slag over wider mole fraction and temperature ranges than conventional models.

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© 2018 by The Iron and Steel Institute of Japan
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