Method and system for predicting particle size distribution of sintered mixture after granulation

By calculating the particle size distribution ratio and the weight percentage of unadhesive fine particles in the sintering mixture, the problem of accurately predicting the particle size distribution after granulation in the existing technology is solved, realizing simple and accurate particle size distribution prediction, and improving the yield and quality of sinter.

CN121331297APending Publication Date: 2026-01-13武汉钢铁有限公司
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Patent Information

Application Number
CN202511362025.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-23
Publication Date
2026-01-13

AI Technical Summary

Technical Problem

Existing technologies lack a method that is simple to operate, does not rely on large-scale data training, and can fully consider the inherent physical properties of raw materials, thereby accurately predicting the particle size distribution of sintered mixtures after granulation during the batching stage.

Method used

By obtaining the initial particle size distribution of the sintered mixture, it is determined whether the total weight percentage of fine particles is not greater than a preset threshold. Based on the physical parameters of the raw materials, the particle growth volume ratio and target particle size are calculated. Combined with the weight percentage of unadhesive fine particles, the final particle size distribution is determined.

Benefits of technology

It enables simple and accurate prediction of particle size distribution after granulation, reduces the requirements for computing power and expertise, provides a forward-looking optimization tool, and improves the yield and quality of sinter.

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Abstract

The invention provides a method and a system for predicting particle size distribution of a sintered mixture after granulation. According to the method, raw materials are divided into fine particles smaller than a preset threshold value and coarse particles larger than the threshold value; when the total weight percentage of the fine particles meets a preset condition, the method calculates the growth volume ratio of the particles based on the particle size distribution and proportion of the raw materials and a group of physical parameters including apparent density, bulk density and fine particle adhesion ratio. And finally, predicting the target particle size of the coarse particles based on the V%, and determining the final particle size distribution in combination with the amount of the non-adhered fine particles. According to the method, key parameters such as the adhesion ratio reflecting the internal balling performance of the raw materials are introduced, a simple and accurate prediction model is constructed, prospective regulation and control of the granulation granularity can be achieved in the batching stage without complex data training, and the method has important industrial application value.
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