Coke thermal properties is a key factor in assessing its quality, directly affecting blast furnace (BF) performance. Currently, NSC(Nippon Steel Corporation) and its derivative method(variable temperature and gas conditions) are most commonly used. However, coke with significantly different CRI and CSR can still perform well in BF operations without negatively impacting efficiency. This raises questions about the accuracy of NSC-based methods. Therefore, there is an urgent need for a more accurate evaluation method. In this study, field coke samples are tested under simulated BF conditions (BFC). The reliability of BFC method was validated by comparing results with BF dissection data, and the limitation of NSC-based method are clarified. Based on these findings, two new evaluation indices CAI and CPI are proposed to better assess coke thermal properties. Regression analysis between the new indices and theoretical coke ratio (KBFC) demonstrated their scientific validity and practical feasibility. Key findings include: BFC method accurately reflects coke solution-loss and degradation behavior under real BF conditions, showing strong consistency with BF dissection results. The temperature and gas conditions used in NSC-based methods are limited, leading to overestimation of low CRI/high CSR coke and underestimation of high CRI/low CSR coke in thermal properties. The new indices provide significantly different evaluations compared to CRI and CSR. The correlation coefficients between CAI/CPI and KBFC are 0.89 and 0.82, respectively, outperforming the 0.03 and 0.18 obtained by CRI/CSR. BFC method provides a more comprehensive simulation of coke behavior in blast furnace operations, and its derived indexes, CAI and CPI, offer a more accurate assessment of coke thermal properties.
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