Method for preparing thermal performance standard sample from self-produced coke

Abstract

The invention discloses a method for preparing a thermal performance standard sample from self-produced coke, which comprises the following steps of: 1, determining the thermal performance range of metallurgical coke in an optimal stable state; 2, estimating the coke quality according to the performance indexes of coking single coal, coal blending ratio and blended coal; 3, preparing a sample fromthe coke obtained in the step 2 according to the requirements of national standard CB / T4000 Coke Reactivity and Post-Reaction Intensity Detection; 4, detecting the sample prepared in the step 3 in more than three thermal state performance detection reaction instruments according to national standard CB / T4000 Coke Reactivity and Post-Reaction Intensity Detection; 5, analyzing, detecting and recording detailed records of operation conditions to finally determine the nominal value of the sample; and 6, weighting and labeling the standard sample. The method for preparing the thermal-state performance standard sample from the self-produced coke has the advantages that the efficiency is high, and the result is accurate.

Description

technical field [0001] The invention relates to the field of metallurgy, in particular to a method for preparing a thermal performance standard sample of self-produced coke. Background technique [0002] The quality of coke, especially coke reactivity and post-reaction strength has a great impact on the modern blast furnace smelting process, and has become a key factor limiting the stable, balanced, high-quality and efficient production of molten iron in the blast furnace. Cognition and dependence on parameters have reached unprecedented heights. The coke thermal reactivity CRI and post-reaction strength CSR detection index were first proposed by NSC in Japan. Once the NSC method was released, it revealed that coke was exposed to high temperature CO in the blast furnace. 2 The melting loss process has taken a big step forward compared with the previous understanding of the behavior of coke in the blast furnace and the simulation of index parameters. It has gradually been un...

AI Technical Summary

Problems solved by technology

[0003] At present, there is no effective verification method, and the accuracy of sample detection can only be ensured by effective means such as repeated testing, strengthening employee skill training and equipment inspection, and determining an effective and convenient method to verify data The accuracy has important economic value and social benefits for the coking industry and ironmaking industry