Method for pre-judging reducibility of sintered ore based on mineral structure
The predictive model established through optical microscopy analysis and reduction degree detection solves the problem of assessing the reducibility of sintered ore, achieves high-precision reduction degree prediction, guides blast furnace ironmaking production, and improves production efficiency and economic benefits.
Patent Information
- Application Number
- CN202511246818.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-02
- Publication Date
- 2025-11-21
AI Technical Summary
Existing technologies make it difficult to quickly and accurately assess the reducibility of sinter, which affects the efficiency and economic benefits of blast furnace ironmaking.
The mineral phase composition and porosity of sinter were analyzed by optical microscopy, and the degree of reduction was tested in accordance with the GB/T13241 standard. A degree of reduction prediction model was established, and the degree of reduction of sinter was predicted by formula.
It enables rapid, simple, and low-cost assessment of sinter reducibility, improves prediction accuracy, guides blast furnace ironmaking production, and enhances production efficiency and economic benefits.
Smart Images

Figure CN120992613A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of sintering technology, and specifically relates to a method for predicting the reducibility of sintered ore based on mineral structure. Background Technology
[0002] Sintered ore is the primary raw material for blast furnace ironmaking. Currently, the structure of sintering furnace burdens is mostly high-basicity sintered ore + acidic pellets, with sintered ore accounting for 60-90%. Therefore, high-quality sintered ore not only ensures smooth blast furnace operation but also increases iron production, improving economic efficiency. The reducibility of sintered ore is a key indicator affecting the efficiency of a blast furnace. Generally, improving the reducibility of iron ore by 10% can reduce the coke ratio in blast furnace smelting by 8-9%. Therefore, sintered ore with better reducibility can reduce flux usage and ore consumption, increase smelting intensity, promote stable blast furnace operation, and thus improve ironmaking production efficiency.
[0003] A suitable mineral composition and microstructure are fundamental to highly reducible sintered minerals. Sintered minerals are complexes composed of various minerals. In terms of the reducibility of sintered mineral composition, magnetite, hematite, hemicalcium ferrite, and monocalcium ferrite are easily reduced, while dicalcium ferrite has lower reducibility. Glass, fir olivine, hedophilite, and hedophilite are all difficult to reduce. The reduction of sintered minerals occurs through the pores of the sintered minerals by reducing gases. The pore walls of acidic sintered minerals are composed of fir olivine and glass, while high-basicity sintered minerals are mainly composed of calcium ferrite. Therefore, as the basicity increases, the reducibility of the sintered mineral improves. Summary of the Invention
[0004] In view of the problems existing in the prior art, the present invention discloses a method for predicting the reducibility of sintered ore based on mineral structure, which specifically includes the following steps:
[0005] The sintered ore is crushed into particles that meet the standard size, and the particles are then refrigerated, dried, finely ground, and polished to obtain test samples.
[0006] Multiple samples were placed under an optical microscope, and K points with clear images were selected, magnified to a certain magnification, and observed to obtain an optical microscope phase diagram of the sintered ore.
[0007] The mineral phase composition of the sinter is quantitatively analyzed by optical microscopy mineral phase diagram to determine the typical minerals that constitute the sinter sample to be tested, and the content of typical minerals and porosity of the sinter sample to be tested are quantitatively counted.
[0008] The reduction degree of pure typical minerals was analyzed using the GB / T13241 standard.
[0009] The typical mineral names, typical mineral contents, and sinter porosity of the sinter sample are input into the sinter reducibility prediction model to obtain sinter reducibility information.
[0010] Furthermore, the expression for the sinter reducibility prediction model is as follows:
[0011]
[0012] Where RI represents the reducibility of sintered ore. α1 represents the porosity of the sinter, ω1 represents the reduction degree of pure hematite, ω2 represents the reduction degree of pure magnetite, ω3 represents the reduction degree of pure calcium ferrite, ω4 represents the reduction degree of pure fir olivine, α5 represents the reduction degree of pure calcium fir olivine, and ω5 represents the percentage content of calcium fir olivine in the sinter ore phase.
[0013] Furthermore, the porosity of sintered ore
[0014] Furthermore, the sintered ore that meets the standard size ranges from 5 to 10 mm.
[0015] Furthermore, 50 points were selected on the sample image under an optical microscope, and the sample image was magnified 200 times for observation.
[0016] By employing the above technical solution, this invention discloses a method for predicting the reducibility of sintered ore based on mineral structure. This method quantitatively analyzes and determines the proportions of the mineral phase composition of the sintered ore. Based on the differences in the reducibility of mineral composition, a predictive model for the medium-temperature reducibility of sintered ore is established to predict its reducibility, thereby guiding production and ensuring the smooth progress of sintering. This method is simple, rapid, low-cost, and produces minimal pollution, making it a valuable supplement to existing technologies for detecting the reducibility of sintered ore. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart of a method for predicting the reducibility of sintered ore based on mineral structure according to the present invention. Detailed Implementation
[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0020] like Figure 1 The method shown here for predicting the reducibility of sintered ore based on mineral structure includes the following steps:
[0021] S1: Sinter sample preparation
[0022] The sintered ore is crushed into particles of 5-10 mm, cold-mounted, dried, finely ground, and polished.
[0023] S2: Optical Microscopy Analysis
[0024] Fifty points with clear images were selected from 10 prepared samples under an optical microscope and observed at a magnification of 200x to obtain optical microscope mineral phase photographs of sintered ore.
[0025] S3: Quantitative Analysis of Mineral Phase Composition
[0026] Identify the typical minerals constituting the sinter sample to be tested, and quantitatively analyze the content of the typical minerals and the porosity of the sinter sample.
[0027] S4: Typical Mineral Reduceivity Detection and Analysis
[0028] The reducibility of pure typical minerals was analyzed using the GB / T13241-91 standard.
[0029] S5: Predictive Model
[0030] The typical mineral names, typical mineral contents and porosity of the sinter sample to be tested are obtained from steps S3 and S4. The medium-temperature reduction degree of the sinter is predicted according to the following formula (1).
[0031]
[0032] Where: RI is the degree of reduction of sinter (%); φ is the porosity of sinter (%); α1 is the degree of reduction of pure hematite (%); ω1 is the percentage content of hematite in the sinter ore phase (%); α2 is the degree of reduction of pure magnetite (%); ω2 is the percentage content of magnetite in the sinter ore phase (%); α3 is the degree of reduction of pure calcium ferrite (%); Formula (1) and Formula (2) satisfy the following conditions: RI∈[50, 90], φ∈[32, 50].
[0033] Example
[0034] The sintered ore is crushed into particles of 5-10 mm, cold-mounted, dried, finely ground, and polished; 50 points with clear images are selected from 10 prepared samples under an optical microscope and observed at a magnification of 200 times to obtain optical microscope mineral phase photographs of the sintered ore; the typical minerals constituting the sintered ore sample to be tested are determined, and the content of the typical minerals and the porosity of the sintered ore sample to be tested are quantitatively counted; the reduction degree of pure typical minerals is analyzed by using the GB / T13241-91 standard; the typical mineral names, typical mineral contents, and porosity of the sintered ore sample to be tested obtained in steps S3 and S4 are used to predict the medium-temperature reduction degree of the sintered ore according to the following formula (1).
[0035]
[0036] Table 1 Mineral composition of sintered ore / %
[0037]
[0038] Table 2. Error between predicted and actual values of sintered ore reduceability, %
[0039] name Predicted value Actual measured value error Example 1 61.85 60.75 1.77 Example 2 64.43 65.67 -1.92 Example 3 57.11 56.67 0.78 Example 4 61.31 60.56 1.22 Example 5 58.70 59.67 -1.66 Example 6 60.52 61.43 -1.51 Example 7 55.63 54.89 1.33 Example 8 62.22 62.33 -0.18 Example 9 72.11 73.34 -1.70 Example 10 61.14 60.34 1.31
[0040] The method of this invention ensures that the absolute value of the predicted value of the sinter reducibility deviates from the actual value by no more than 2%, resulting in high prediction accuracy. The method calculates the medium-temperature reducibility RI of the sinter based on the mineral phase composition of the sinter, providing rapid guidance for sintering and blast furnace processes.
[0041] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. In the above embodiments of the present invention, the descriptions of each embodiment have their own emphasis; parts not described in detail in a certain embodiment can be referred to in the relevant descriptions of other embodiments. It should be understood that the disclosed technical content in the several embodiments provided in this application can be implemented in other ways.
Claims
1. A method for predicting the reducibility of sintered ore based on mineral structure, characterized in that... include: The sintered ore is crushed into particles that meet the standard size, and the particles are then refrigerated, dried, finely ground, and polished to obtain test samples. Multiple samples were placed under an optical microscope, and K points with clear images were selected, magnified to a certain magnification, and observed to obtain an optical microscope phase diagram of the sintered ore. The mineral phase composition of the sinter is quantitatively analyzed by optical microscopy mineral phase diagram to determine the typical minerals that constitute the sinter sample to be tested, and the content of typical minerals and porosity of the sinter sample to be tested are quantitatively counted. The reduction degree of pure typical minerals was analyzed using the GB / T13241 standard. The typical mineral names, typical mineral contents, and sinter porosity of the sinter sample are input into the sinter reducibility prediction model to obtain sinter reducibility information.
2. The method for predicting the reducibility of sintered ore based on mineral structure according to claim 1, characterized in that: The expression for the sinter reducibility prediction model is as follows: Where RI represents the reducibility of sintered ore. α1 represents the porosity of the sinter, ω1 represents the reduction degree of pure hematite, ω2 represents the reduction degree of pure magnetite, ω3 represents the reduction degree of pure calcium ferrite, ω4 represents the reduction degree of pure fir olivine, α5 represents the reduction degree of pure calcium fir olivine, and ω5 represents the percentage content of calcium fir olivine in the sinter ore phase.
3. The method for predicting the reducibility of sintered ore based on mineral structure according to claim 2, characterized in that: Among them, the porosity of sintered ore 4. The method for predicting the reducibility of sintered ore based on mineral structure according to claim 2, characterized in that: The standard size range for sintered ore is 5–10 mm.
5. The method for predicting the reducibility of sintered ore based on mineral structure according to claim 3, characterized in that: Fifty points were selected on the sample image under an optical microscope, and the sample image was magnified 200 times for observation.
Citation Information
Patent Citations
Fine quantitative analysis method for ore phase of sinter with complex composition
CN110095464A
Method for detecting reduction performance of sintering ore based on total amount and form inversion of microscopic image calcium ferrite
CN112444517A
Method for predicting drum strength of sinter in each material layer of sintering pallet
CN114067926A
Quantitative analysis calculation method of sintered ore phase
CN114994040A
Method and system for predicting metallurgical performance of sintered ore, electronic equipment and storage medium
CN116364206A