Predicting the Hot Strength of Coke on the Basis of Batch Characteristics

Abstract

By means of a regression model, the strength CSR of coke after reaction with carbon dioxide may be predicted at the stage of batch formulation. This model takes account of the data from technical, petrographic, and plastometric analysis of the batch. On that basis, the value determined on the basis of the rank composition may be refined. The model is developed for the raw materials available at PAO NLMK on the basis of statistical data. That allows the coking conditions to be taken indirectly into account. The model is incorporated in computer software.