Iron ore fines sintering reaction performance evaluation method and system

Abstract

The present application relates to the technical field of metallurgy, and discloses a kind of iron ore powder sintering reaction performance evaluation method and system, to solve the problems of fragmentation, strong experimental dependence, unable to measure key parameters and poor dynamic adaptability of existing method, scheme mainly includes: obtaining the chemical composition of the iron ore powder to be evaluated, and normalizing processing;Using the Equilib module of FactSage, the results under different temperature conditions are calculated when the reaction equilibrium is obtained;Extract liquid phase production, liquid phase chemical composition and reaction enthalpy data;And using the Viscosity module of FactSage, the liquid phase viscosity under different temperature conditions is calculated;Select the liquid phase production, reaction enthalpy and liquid phase viscosity under a certain temperature as evaluation parameters, carry out vector normalization processing and set weight, use TOPSIS multi-criteria decision method, respectively calculate the relative closeness of each group of evaluation parameters;Relative closeness is used as the evaluation index of iron ore powder sintering reaction performance.The present application improves the accuracy and efficiency of sintering reaction performance evaluation.

Description

Technical Field

[0001] This invention relates to the field of metallurgical technology, specifically to a method and system for evaluating the sintering reaction performance of iron ore powder. Background Technology

[0002] Iron ore sintering is an indispensable and crucial pretreatment process in modern blast furnace ironmaking. Its main purpose is to bind various powdered iron raw materials that cannot be directly fed into the furnace into lumpy sinter with good strength and metallurgical properties at high temperatures, providing high-quality and stable furnace feed for the blast furnace. In this process, a series of complex high-temperature chemical reactions occurring in the materials are the core driving force of the sintering process. These reactions directly determine the microstructure and macroscopic quality of the sinter, and ultimately affect the energy consumption indicators of the blast furnace and the cost of pig iron smelting.

[0003] The high-temperature reactions during iron ore sintering mainly include solid-phase reactions, liquid-phase reactions, gas-phase reactions, and redox reactions. Among these, the solid-liquid-gas phase reaction forms the basis of the redox reaction, while the formation and behavior of the liquid phase play the most crucial role in the entire process. The liquid phase is the core bonding medium that connects the original ore powder particles and forms the robust framework of the sinter. Its formation temperature, formation amount, fluidity (viscosity), and mineral composition after solidification directly determine all key quality indicators of the final sinter, such as drum strength, reducibility, low-temperature reduction pulverization rate, and particle size distribution. Therefore, accurately evaluating the properties of the liquid phase during the high-temperature sintering of iron ore powder is the core foundation for optimizing sinter blending, improving sinter quality, and ensuring the efficient and smooth operation of the blast furnace.

[0004] Currently, the evaluation methods for the sintering reaction performance of iron ore powder are mainly divided into two categories: the high-temperature basic characteristic index method and the sintering cup experiment method. The basic characteristic index method indirectly evaluates the sintering behavior of ore powder by testing single parameters such as assimilation, liquid phase fluidity, intergrowth strength, and calcium ferrite formation ability. For example, Chinese patent CN106769661A discloses a method for evaluating the liquid phase fluidity of iron ore powder samples by measuring the melting flow area of ​​the samples at high temperature; CN111579383A discloses a method for evaluating the intergrowth performance of ore powder spheres after roasting by measuring their compressive strength. Although these methods can reflect the characteristics of ore powder from specific perspectives, they have obvious limitations: First, they are all isolated evaluations targeting single influencing factors, failing to comprehensively reflect the comprehensive performance under the synergistic effect of multiple factors such as liquid phase formation amount, thermal behavior, and viscosity; second, these methods heavily rely on physical experiments, which are cumbersome, time-consuming, costly, and susceptible to human error; third, the crucial parameter of "liquid phase formation amount" cannot currently be directly measured experimentally and can only be inferred from experience. These shortcomings result in poor dynamic responsiveness of existing evaluation methods, making it difficult to meet the needs of rapid, online, and comprehensive evaluation of raw material changes in sintering production, and failing to provide real-time and accurate data support for intelligent ore blending. Summary of the Invention

[0005] This invention aims to address the problems of existing evaluation methods for the sintering reaction performance of iron ore powder, such as fragmentation, strong experimental dependence, inability to measure key parameters, and poor dynamic adaptability. It proposes a method and system for evaluating the sintering reaction performance of iron ore powder.

[0006] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows:

[0007] In a first aspect, the present invention provides a method for evaluating the sintering reaction performance of iron ore powder, the method comprising:

[0008] Obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3;

[0009] The mass percentage content of the chemical components is normalized so that the sum of the contents of each chemical component is 100%.

[0010] Using the Equilib module of the thermodynamic calculation software FactSage, the normalized chemical composition content was input, the reaction conditions were set, and the results of the reaction equilibrium under different temperature conditions were calculated.

[0011] Extract the liquid phase generation amount, liquid phase chemical composition and reaction enthalpy data under different temperature equilibrium states from the calculation results of the Equilib module; and use the Viscosity module of FactSage, input the liquid phase chemical composition, and calculate the liquid phase viscosity under different temperature conditions.

[0012] The amount of liquid phase generated, the enthalpy of reaction, and the viscosity of liquid phase at a specific temperature are selected as evaluation parameters. Vector normalization is performed on each evaluation parameter and weights are set. The TOPSIS multi-criteria decision method is used to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution, and the relative closeness is calculated accordingly.

[0013] The relative proximity is used as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative proximity, the better the sintering reaction performance.

[0014] Furthermore, the formulas for calculating the Euclidean distance between each set of evaluation parameters and the positive ideal solution are as follows:

[0015] ;

[0016] ; ; ;

[0017] in, Indicates the first The Euclidean distance between the group evaluation parameters and the positive ideal solution. They represent the first The normalized values ​​of liquid phase formation amount, reaction enthalpy, and liquid phase viscosity in the group evaluation parameters after weight adjustment. , Indicates the number of groups for the evaluation parameters. This represents the optimal values ​​for liquid phase formation, reaction enthalpy, and liquid phase viscosity in the ideal solution.

[0018] The formulas for calculating the Euclidean distance between each set of evaluation parameters and the negative ideal solution are as follows:

[0019] ;

[0020] ; ; ;

[0021] in, Indicates the first The Euclidean distance between the group evaluation parameters and the negative ideal solution. This represents the worst-case values ​​corresponding to the amount of liquid phase generated, the enthalpy of reaction, and the viscosity of the liquid phase in the negative ideal solution.

[0022] Furthermore, the formula for calculating the relative closeness is as follows:

[0023] ;

[0024] in, Indicates the first The relative similarity of the group evaluation parameters.

[0025] Furthermore, the Equilib module calculates the selected database as the FToxid database.

[0026] Furthermore, the initial conditions calculated by the Equilib module are set as follows: mass unit g, temperature unit °C, initial temperature 20 °C, and initial pressure 1 atm;

[0027] The Viscosity module is calculated under the following conditions: mass unit g, temperature unit ℃, and viscosity unit Pa·S.

[0028] Furthermore, the calculation temperature range of the Equilib module is set to 1000℃ to 1400℃, and the calculation step size is 50℃.

[0029] When performing calculations, the Equilib module sets the product selection to pure liquid and pure solid.

[0030] Furthermore, the liquid phase extracted from the calculation results of the Equilib module is the Slag-liq#1 phase;

[0031] The input to the Viscosity module is the chemical composition of the Slag-liq#1 phase from the calculation results of the Equilib module.

[0032] Furthermore, the specific reaction temperature condition selected for evaluation was 1250℃.

[0033] Furthermore, the weights of the three evaluation parameters—liquid phase generation, reaction enthalpy, and liquid phase viscosity—are all set to 1 / 3.

[0034] In a second aspect, the present invention provides an iron ore powder sintering reaction performance evaluation system for implementing the iron ore powder sintering reaction performance evaluation method as described in the first aspect, the system comprising:

[0035] The analysis unit is used to obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3;

[0036] The processing unit is used to normalize the mass percentage content of the chemical components so that the sum of the contents of each chemical component is 100%.

[0037] The calculation unit is used to calculate the reaction equilibrium results at different temperatures by inputting the normalized chemical composition content and setting the reaction conditions using the Equilib module of the thermodynamic calculation software FactSage; extracting the liquid phase generation amount, liquid phase chemical composition, and reaction enthalpy data at different temperature equilibrium states from the calculation results of the Equilib module; using the Viscosity module of FactSage, inputting the liquid phase chemical composition, and calculating the liquid phase viscosity at different temperature conditions; and selecting the liquid phase generation amount, reaction enthalpy, and liquid phase viscosity at a specific temperature as evaluation parameters, performing vector normalization on each evaluation parameter and setting weights, using the TOPSIS multi-criteria decision method to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution, and calculating the relative closeness accordingly.

[0038] The evaluation unit is used to use the relative closeness as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative closeness, the better the sintering reaction performance.

[0039] The beneficial effects of this invention are as follows: The iron ore powder sintering reaction performance evaluation method and system provided by this invention integrates three key parameters: liquid phase generation amount, reaction enthalpy, and liquid phase viscosity. A comprehensive score (relative closeness) is obtained through a multi-criteria decision algorithm (TOPSIS), thus reflecting the comprehensive sintering reaction performance of iron ore powder more comprehensively and scientifically. This method eliminates the need for any cumbersome and time-consuming physical experiments; only the basic chemical composition of the iron ore powder needs to be input, and the thermodynamic software FactSage can perform rapid calculations, obtaining evaluation results within minutes. This significantly shortens the analysis cycle, reduces manpower, material resources, and time costs, and achieves near real-time dynamic evaluation. By calling a mature thermodynamic database and the equilibrium calculation module (Equilib), the liquid phase generation amount at equilibrium at different temperatures can be accurately calculated, solving the technical problem that the liquid phase generation amount cannot be directly measured. The calculated relative closeness provides intuitive and quantitative data support for sintering ore blending, guiding the optimization of ore blending schemes and predicting sinter quality. This helps stabilize the sintering process, enhance sinter quality, reduce blast furnace fuel consumption, and ultimately achieve the goal of cost reduction and efficiency improvement. Attached Figure Description

[0040] Figure 1 A schematic flowchart of the iron ore powder sintering reaction performance evaluation method provided in the embodiments;

[0041] Figure 2 This is a schematic diagram of the structure of the iron ore powder sintering reaction performance evaluation system provided in the example. Detailed Implementation

[0042] To address the problems of fragmentation, strong experimental dependence, inability to measure key parameters, and poor dynamic adaptability in existing evaluation methods for the sintering reaction performance of iron ore powder, this invention proposes a technical solution. This invention obtains the liquid phase generation amount, reaction enthalpy, and liquid phase viscosity of iron ore powder under different temperature conditions through thermodynamic calculations. Then, it calculates the optimal and worst Euclidean distances for each set of parameters using a multi-criteria decision-making method, finally obtaining the relative closeness. A higher closeness indicates better sintering reaction performance of the iron ore powder. By integrating these three key parameters—liquid phase generation amount, reaction enthalpy, and liquid phase viscosity—it can more comprehensively and scientifically reflect the overall sintering reaction performance of iron ore powder. Furthermore, this invention eliminates the need for any tedious and time-consuming physical experiments. It only requires inputting the basic chemical composition of iron ore powder and rapidly calculating the relevant parameters of the liquid phase using the thermodynamic software FactSage. The fast response speed and strong adaptability to raw materials greatly shorten the analysis cycle, reduce manpower, material resources, and time costs, and achieve near real-time dynamic evaluation. It can provide reference support for sintering ore blending, optimize the sintering reaction process, enhance the quality of sintered ore, and reduce the experimental costs of detection and analysis.

[0043] The technical solutions in this embodiment will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0044] Figure 1 A flowchart illustrating a method for evaluating the sintering reaction performance of iron ore powder is shown. Please refer to [link / reference]. Figure 1 The method includes the following steps:

[0045] Step 1: Obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3.

[0046] In practical applications, the mass percentage content of key chemical components in the iron ore powder sample to be evaluated can be accurately determined by using standard chemical analysis methods (such as X-ray fluorescence spectroscopy, XRF). These components include: Fe2O3 (ferric oxide), FeO (ferrous oxide), SiO2 (silicon dioxide), CaO (calcium oxide), MgO (magnesium oxide), and Al2O3 (aluminum oxide). These oxides are the core components constituting the main liquid phase in the sintering process, and their content directly determines the behavior of the high-temperature reaction and the properties of the liquid phase.

[0047] Step 2: Normalize the mass percentage content of the chemical components so that the sum of the contents of each chemical component is 100%.

[0048] Since the sum of the contents of each component obtained from the analysis may not be exactly 100%, or there may be other trace elements that were not measured, it is necessary to normalize the contents of the six oxides to ensure the accuracy of subsequent thermodynamic calculations and the consistency of the system. Specifically, this can be done by calculating the ratio of the mass percentage of each oxide to the total mass percentage of the six oxides, and then multiplying it by 100%. After this normalization, the sum of the contents of the six oxides will be strictly equal to 100%, providing standardized data for the input and output of thermodynamic calculations.

[0049] Step 3: Using the Equilib module of the thermodynamic calculation software FactSage, input the normalized chemical composition content, set the reaction conditions, and calculate the results of the reaction equilibrium under different temperature conditions.

[0050] As you can understand, this step is used to input the normalized chemical composition data into the equilibrium calculation module (Equilib) of the thermodynamic software FactSage for equilibrium calculation, and the following key settings are required:

[0051] Select a database: You must select a database that is suitable for oxide systems, such as "FToxid".

[0052] Define reactants: Define the six normalized oxides as reactants.

[0053] Set calculation conditions:

[0054] The temperature range is typically set to cover the critical temperature range of the sintering process, such as from 1000°C to 1400°C.

[0055] The calculation step size is typically set to 50° to strike a balance between computational accuracy and efficiency.

[0056] The initial conditions for the calculation were set as follows: mass unit g, temperature unit °C, initial temperature 20 °C, and initial pressure 1 standard atmosphere (atm).

[0057] In the selection of "product" or "phase", it is usually specified that the system only considers "pure solid" and "pure liquid" to simplify the output results and focus on liquid-solid phase transition.

[0058] In practical applications, based on the chemical composition of iron ore powder, the thermodynamic calculation software FactSage simulates the reaction of the system under different high-temperature conditions by inputting reactants, their contents, and setting key parameters. Under conditions of only iron ore powder without the addition of other raw materials, calculations can obtain a series of results, including phase composition and content, phase chemical composition, and enthalpy change during the reaction process, at specific temperatures. Generally, the amount of liquid phase generated increases with increasing temperature. Different iron ore powders have different temperatures and contents for liquid phase generation; lower liquid phase generation temperatures and higher liquid phase generation amounts are more favorable for the liquid phase solidification reaction process. The enthalpy of reaction reflects the heat absorption and release during the high-temperature reaction of iron ore powder; the lower the endothermic enthalpy, the lower the heat required for combustion. Both the amount of liquid phase generated and the enthalpy of reaction are key indicators describing the sintering reaction process.

[0059] Step 4: Extract the liquid phase generation amount, liquid phase chemical composition and reaction enthalpy data under different temperature equilibrium states from the calculation results of the Equilib module; and use the Viscosity module of FactSage to input the liquid phase chemical composition and calculate the liquid phase viscosity under different temperature conditions.

[0060] This step is understood to extract the key data required from the calculation results of the Equilib module: liquid phase formation amount, liquid phase chemical composition, and reaction enthalpy. Among these:

[0061] Liquid phase formation amount: Find the liquid phase named "Slag-liq#1" or similar in the calculation results, and directly read its mass percentage at each temperature. This is the liquid phase formation amount at that temperature.

[0062] Liquid phase chemical composition: Read the detailed chemical composition of the "Slag-liq#1" phase at various temperatures, that is, the content of various oxides in the liquid phase.

[0063] Enthalpy of reaction: The Equilib module directly provides the total enthalpy change of the system from the initial temperature to each target temperature. This value is the enthalpy of reaction, which reflects the thermal effect of the reaction at that temperature.

[0064] Subsequently, the chemical composition of the equilibrium liquid phase at a specified temperature (e.g., 1250℃) is input into FactSage's Viscosity module. The Viscosity module's calculation conditions are set as follows: mass unit (g), temperature unit (℃), and viscosity unit (Pa·S). The Viscosity module has a built-in calculation model for slag viscosity, which can quickly calculate the viscosity value of the liquid phase at that temperature based on the liquid phase composition.

[0065] It is generally believed that the optimal liquid phase content in sintering is around 30%. Excessive liquid phase content can lead to the formation of large-pore, thin-walled structures in the sinter, resulting in decreased strength. Conversely, insufficient liquid phase content reduces bonding strength, also decreasing the overall strength of the sinter. Given a suitable amount of liquid phase, the viscosity of the liquid phase directly affects its flowability. Excessive viscosity worsens the flowability and limits solid-liquid reactions.

[0066] Step 5: Select the amount of liquid phase generated, the enthalpy of reaction, and the viscosity of liquid phase at a specific temperature as evaluation parameters. Perform vector normalization on each evaluation parameter and set weights. Use the TOPSIS multi-criteria decision method to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution, and calculate the relative closeness accordingly.

[0067] In this embodiment, the purpose of vector normalization and weighting of each evaluation parameter is to eliminate dimensional and order-of-magnitude differences between them, enabling them to be compared and calculated on the same scale. In this embodiment, the three evaluation parameters (liquid phase formation amount, reaction enthalpy, and liquid phase viscosity) are considered equally important, and each is weighted at 1 / 3.

[0068] In this embodiment, the Euclidean distance between each set of evaluation parameters and the positive ideal solution is calculated using the following formula:

[0069] ;

[0070] ; ; ;

[0071] in, Indicates the first The Euclidean distance between the group evaluation parameters and the positive ideal solution. They represent the first The normalized values ​​of liquid phase formation amount, reaction enthalpy, and liquid phase viscosity in the group evaluation parameters after weight adjustment. , Indicates the number of groups for the evaluation parameters. This represents the optimal values ​​for liquid phase formation, reaction enthalpy, and liquid phase viscosity in the ideal solution.

[0072] The formulas for calculating the Euclidean distance between each set of evaluation parameters and the negative ideal solution are as follows:

[0073] ;

[0074] ; ; ;

[0075] in, Indicates the first The Euclidean distance between the group evaluation parameters and the negative ideal solution. This represents the worst-case values ​​corresponding to the amount of liquid phase generated, the enthalpy of reaction, and the viscosity of the liquid phase in the negative ideal solution.

[0076] The formula for calculating the relative closeness is as follows:

[0077] ;

[0078] in, Indicates the first The relative similarity of the group evaluation parameters.

[0079] It can be understood that each iron ore powder to be evaluated corresponds to a set of evaluation parameters. Each set of evaluation parameters includes three parameters: liquid phase formation amount, reaction enthalpy, and liquid phase viscosity. The positive ideal solution consists of a virtual best sample, where each index value is the optimal value among all samples for that index. For indices like liquid phase formation amount and reaction enthalpy, where a higher expectation is better, the maximum value is taken; for indices like liquid phase viscosity, where a lower expectation is better, the minimum value is taken. The negative ideal solution consists of a virtual worst sample, where each index value is the worst value among all samples for that index. For indices like liquid phase formation amount and reaction enthalpy, where a higher expectation is better, the minimum value is taken; for indices like liquid phase viscosity, where a lower expectation is better, the maximum value is taken.

[0080] By calculating the distance of each set of evaluation parameters to a hypothetical best and worst point, a comprehensive and comparable score is ultimately given based on the relative closeness.

[0081] Step 6: Use the relative proximity as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative proximity, the better the sintering reaction performance.

[0082] The calculated relative closeness is used as the final quantitative evaluation index. The closer the relative closeness is to 1, the closer it is to the virtual positive ideal solution, and the further it is from the virtual negative ideal solution, indicating that the overall performance of the iron ore powder sample is better. Therefore, the relative closeness of various iron ore powders can be ranked, thereby quickly and objectively evaluating their sintering reaction performance and providing direct, quantitative data support for ore blending optimization.

[0083] The following uses 10 types of iron ore powder to be evaluated as examples to illustrate the specific implementation of the present invention, including the following steps:

[0084] (1) Obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3. See Table 1 for the specific chemical composition.

[0085] Table 1. Chemical composition of 10 iron ore powders to be evaluated

[0086]

[0087] (2) Normalize the mass percentage content of the chemical components so that the sum of the contents of each chemical component is 100%.

[0088] (3) Using the Equilib module of the thermodynamic calculation software FactSage, input the normalized chemical composition content, set the reaction conditions, and calculate the results of the reaction equilibrium under different temperature conditions.

[0089] (4) Extract the liquid phase formation amount, liquid phase chemical composition, and reaction enthalpy data under different temperature equilibrium states from the calculation results of the Equilib module; and use the Viscosity module of FactSage to input the liquid phase chemical composition and calculate the liquid phase viscosity under different temperature conditions. The thermodynamic calculation results of liquid phase formation amount, reaction enthalpy, and liquid phase viscosity at 1250℃ are shown in Table 2.

[0090] Table 2. Calculation results of liquid phase formation, reaction enthalpy, and liquid phase viscosity at 1250℃ for 10 types of iron ore powder to be evaluated.

[0091]

[0092] (5) Select the amount of liquid phase generated, reaction enthalpy and liquid phase viscosity at a specific temperature as evaluation parameters, perform vector normalization on each evaluation parameter and set weights, use the TOPSIS multi-criteria decision method to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution respectively, and calculate the relative closeness accordingly.

[0093] (6) The relative similarity is used as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative similarity, the better the sintering reaction performance. The ranking of the relative similarity and sintering reaction performance of the 10 iron ore powders to be evaluated is shown in Table 3.

[0094] Table 3. Ranking of Relative Similarity and Sintering Reaction Performance of 10 Iron Ore Powders to be Evaluated

[0095]

[0096] Ten types of iron ore powder were evaluated using a multi-criteria decision-making method to assess their sintering reaction performance. The range is [0,1], with higher scores indicating better sintering reaction performance. The ranking from best to worst is D>A>H>E>B>G>I>C>J>F. Higher scores indicate that the iron ore powder has a higher liquid phase generation, lower reaction energy requirement, and better liquid phase fluidity, which is more conducive to solid-liquid reaction during high-temperature sintering. Studies have shown that lower SiO2 content promotes liquid phase generation, but excessive SiO2 increases viscosity and reduces reaction performance, as seen in iron ore powder F, which ranked 10th. MgO can reduce liquid phase viscosity; for example, iron ore powder D, ranked 1st, has a higher MgO content. These findings are consistent with relevant research findings. Evaluating the sintering performance of iron ore powder can help optimize ore blending in production, considering both cost and sintering reaction performance to ensure sinter quality.

[0097] In summary, the iron ore powder sintering reaction performance evaluation method provided in this embodiment integrates three key parameters: liquid phase generation, reaction enthalpy, and liquid phase viscosity. A comprehensive score is derived through a multi-criteria decision algorithm, thus reflecting the overall sintering reaction performance of iron ore powder more comprehensively and scientifically. This method eliminates the need for any cumbersome and time-consuming physical experiments; only the basic chemical composition of the iron ore powder needs to be input. The thermodynamic software FactSage can then perform rapid calculations, obtaining evaluation results within minutes. This significantly shortens the analysis cycle, reduces manpower, material resources, and time costs, and achieves near real-time dynamic evaluation. By utilizing a mature thermodynamic database and equilibrium calculation module, the liquid phase generation at equilibrium at different temperatures can be accurately calculated, solving the technical challenge of directly measuring the liquid phase generation. The calculated relative closeness provides intuitive and quantitative data support for sintering blending, guiding the optimization of blending schemes and predicting sinter quality. This helps stabilize the sintering process, enhance sinter quality, reduce blast furnace fuel consumption, and ultimately achieve cost reduction and efficiency improvement.

[0098] Based on the above technical solution, this embodiment also proposes an iron ore powder sintering reaction performance evaluation system to implement the iron ore powder sintering reaction performance evaluation method as described in the embodiment. Please refer to [link to relevant documentation]. Figure 2 The system includes:

[0099] The analysis unit is used to obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3;

[0100] The processing unit is used to normalize the mass percentage content of the chemical components so that the sum of the contents of each chemical component is 100%.

[0101] The calculation unit is used to calculate the reaction equilibrium results at different temperatures by inputting the normalized chemical composition content and setting the reaction conditions using the Equilib module of the thermodynamic calculation software FactSage; extracting the liquid phase generation amount, liquid phase chemical composition, and reaction enthalpy data at different temperature equilibrium states from the calculation results of the Equilib module; using the Viscosity module of FactSage, inputting the liquid phase chemical composition, and calculating the liquid phase viscosity at different temperature conditions; and selecting the liquid phase generation amount, reaction enthalpy, and liquid phase viscosity at a specific temperature as evaluation parameters, performing vector normalization on each evaluation parameter and setting weights, using the TOPSIS multi-criteria decision method to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution, and calculating the relative closeness accordingly.

[0102] The evaluation unit is used to use the relative closeness as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative closeness, the better the sintering reaction performance.

[0103] It is understood that since the iron ore powder sintering reaction performance evaluation system described in this embodiment is a system for implementing the iron ore powder sintering reaction performance evaluation method described in the embodiment, the system disclosed in the embodiment is relatively simple to describe because it corresponds to the method disclosed in the embodiment. For relevant parts, please refer to the description of the method, and it will not be repeated here.

Claims

1. A method for evaluating the sintering reaction performance of iron ore powder, characterized in that, The method includes: Obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3; The mass percentage content of the chemical components is normalized so that the sum of the contents of each chemical component is 100%. Using the Equilib module of the thermodynamic calculation software FactSage, the normalized chemical composition content was input, the reaction conditions were set, and the results of the reaction equilibrium under different temperature conditions were calculated. Extract the liquid phase generation amount, liquid phase chemical composition and reaction enthalpy data under different temperature equilibrium states from the calculation results of the Equilib module; and use the Viscosity module of FactSage, input the liquid phase chemical composition, and calculate the liquid phase viscosity under different temperature conditions. The amount of liquid phase generated, the enthalpy of reaction, and the viscosity of liquid phase at a specific temperature are selected as evaluation parameters. Vector normalization is performed on each evaluation parameter and weights are set. The TOPSIS multi-criteria decision method is used to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution, and the relative closeness is calculated accordingly. The relative proximity is used as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative proximity, the better the sintering reaction performance.

2. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1, characterized in that, The formulas for calculating the Euclidean distance between each set of evaluation parameters and the positive ideal solution are as follows: ； ； ； ； in, Indicates the first The Euclidean distance between the group evaluation parameters and the positive ideal solution. They represent the first The normalized values ​​of liquid phase formation amount, reaction enthalpy, and liquid phase viscosity in the group evaluation parameters after weight adjustment. , Indicates the number of groups for the evaluation parameters. This represents the optimal values ​​for liquid phase formation, reaction enthalpy, and liquid phase viscosity in the ideal solution. The formulas for calculating the Euclidean distance between each set of evaluation parameters and the negative ideal solution are as follows: ； ； ； ； in, Indicates the first The Euclidean distance between the group evaluation parameters and the negative ideal solution. This represents the worst-case values ​​corresponding to the amount of liquid phase generated, the enthalpy of reaction, and the viscosity of the liquid phase in the negative ideal solution.

3. The method for evaluating the sintering reaction performance of iron ore powder according to claim 2, characterized in that, The formula for calculating the relative closeness is as follows: ； in, Indicates the first The relative similarity of the group evaluation parameters.

4. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1, characterized in that, The database selected for calculation by the Equilib module is the FToxid database.

5. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1, characterized in that, The initial conditions calculated by the Equilib module are set as follows: mass unit g, temperature unit °C, initial temperature 20 °C, initial pressure 1 atm; The Viscosity module is calculated under the following conditions: mass unit g, temperature unit ℃, and viscosity unit Pa·S.

6. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1 or 5, characterized in that, The calculation temperature range of the Equilib module is set to 1000℃ to 1400℃, and the calculation step size is 50℃. When performing calculations, the Equilib module sets the product selection to pure liquid and pure solid.

7. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1, characterized in that, The liquid phase extracted from the calculation results of the Equilib module is the Slag-liq#1 phase; The input to the Viscosity module is the chemical composition of the Slag-liq#1 phase from the calculation results of the Equilib module.

8. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1, characterized in that, The specific reaction temperature condition selected for evaluation was 1250℃.

9. The method for evaluating the sintering reaction performance of iron ore powder according to claim 1, characterized in that, The weights of the three evaluation parameters—liquid phase generation, reaction enthalpy, and liquid phase viscosity—are all set to 1 / 3.

10. A system for evaluating the sintering reaction performance of iron ore powder, characterized in that, The system for implementing the iron ore powder sintering reaction performance evaluation method as described in any one of claims 1 to 9, the system comprising: The analysis unit is used to obtain the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3; The processing unit is used to normalize the mass percentage content of the chemical components so that the sum of the contents of each chemical component is 100%. The calculation unit is used to calculate the reaction equilibrium results at different temperatures by inputting the normalized chemical composition content and setting the reaction conditions using the Equilib module of the thermodynamic calculation software FactSage; extracting the liquid phase generation amount, liquid phase chemical composition, and reaction enthalpy data at different temperature equilibrium states from the calculation results of the Equilib module; using the Viscosity module of FactSage, inputting the liquid phase chemical composition, and calculating the liquid phase viscosity at different temperature conditions; and selecting the liquid phase generation amount, reaction enthalpy, and liquid phase viscosity at a specific temperature as evaluation parameters, performing vector normalization on each evaluation parameter and setting weights, using the TOPSIS multi-criteria decision method to calculate the Euclidean distance between each set of evaluation parameters and the positive ideal solution and the negative ideal solution, and calculating the relative closeness accordingly. The evaluation unit is used to use the relative closeness as an evaluation index for the sintering reaction performance of iron ore powder. The higher the relative closeness, the better the sintering reaction performance.

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