关键词: 焦炭质量, 焦炭强度, 焦炭热性质, 逐步回归, 预测模型

Abstract: Metallurgical coke as the permeable backbone in furnace becomes more and more important with increasing capacity of blast furnace and developing technique of pulverized coal injection for oxygen-enriched melting. Coke quality is urgently required to improve in iron plants, and a set of accurate coke quality prediction models is therefore developed for coke production on the basis of comparison and analysis of existing relevant prediction models. By the analysis and regression of experimental data from a small-size coke oven in combination with linearization and empirical modification, the mathematical models of blending are developed for coking process, thus obtaining the prediction models of coke ash/sulfur, mechanical properties (M40/M10) and thermal properties (CRI/CSR). Errors between prediction and measurement are below 6%, available to meet production demand for coke making and provide theoretical foundation for exact coal blending.