Efficient detection method for particle steel

Abstract

The invention relates to an efficient detection method of particle steel, and the method comprises the following steps: sampling the particle steel for three times, determining a mass difference coefficient Z according to a sample ratio, processing a sample to ensure the representativeness of the sample, screening the sample, dividing the sample into a rough material group, an oversize material group and an undersize material group, and measuring the sample groups; determining an irregular coefficient G of the particle steel, estimating an estimated particle steel water outlet rate Y0 according to a preset rule, judging whether the estimated particle steel water outlet rate Y0 can be used as a final total water outlet rate or not, if not, melting the particle steel, and accurately adjusting the current and the melting time of a high-audio reaction furnace in the melting process, so that the melting effect is guaranteed, so as to determine the water yield of the particle steel.

Description

technical field [0001] The detection method in the field of the present invention is specifically a high-efficiency detection method for particle steel. Background technique [0002] Particle steel is a by-product of the steelmaking process, which is made of various oxides formed by the oxidation of silicon, manganese, phosphorus, sulfur and other impurities in pig iron during the smelting process and salts formed by the reaction of these oxides with solvents. Composition, steel slag contains a variety of useful components: 2% to 8% of metallic iron, 40% to 60% of calcium oxide, 3% to 10% of magnesium oxide, 1% to 8% of manganese oxide, so it can be used as raw materials for iron and steel metallurgy, particles The mineral composition of steel is mainly tricalcium silicate, followed by dicalcium silicate, RO phase, dicalcium ferrite and free calcium oxide. Steel slag is clinker, which is a remelting phase with a low melting temperature. When remelting, the liquid The phase ...

AI Technical Summary

Problems solved by technology

[0003] 1. In the traditional method, the samples in the particle steel detection process are distinguished, so the water yield of the particle steel obtained has errors;

[0004] 2. The traditional method does not provide a method for quickly estimating the water yield of particle steel;

[0005] 3. In the traditional method, the melting process of the particle steel is not adjusted during the melting process, resulting in errors in the final detection results

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