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In this work, the results of emissivity measurement for steelmaking slag in two spectral infrared ranges (MWIR and LWIR) are presented. The thermograms were acquired in the steelworks (fig. 3), during the discharge of the steelmaking slag (fig. 2), which occurs directly after the discharge of metal (fig. 1). The research confirmed significant difference of spectral emissivity between the metal and steelmaking slag during the discharge process [5,6]. The results are to be used for estimation of technological parameters of the steelmaking slag. The idea of the investigations presented in this paper relies on applying the neural network for the analysis of measurement results [1].

Estimation of steel slag parameters using thermal imaging and neural networks classification