Abstract
The internal quality of continuous casting billet mainly refers to the low power structure, center segregation, inner crack and the levels of inclusions. It seriously affects the comprehensive performance of steel and rolling slab of the casting billet center segregation and crack existing. The influence rules of the slab internal quality about the process and the factors of equipment combining with field production data have been discussed in this paper. Then using the improved BP algorithm with added momentum item and the prediction model of central segregation of continuous casting billet base on BP artificial neural network have been built.
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