Iron ore powder sintering reaction performance evaluation method and system

Abstract

The invention relates to the technical field of metallurgy, discloses an iron ore powder sintering reaction performance evaluation method and system, and aims to solve the problems of fragmentation, strong experiment dependence, incapability of measuring key parameters and poor dynamic adaptability of the existing method. The scheme mainly comprises the following steps: obtaining chemical components of to-be-evaluated iron ore powder, and carrying out normalization processing; using an Equilib module of FactSage to calculate and obtain a result when the reaction is balanced under different temperature conditions; extracting liquid phase generation amount, liquid phase chemical component composition and reaction enthalpy data; a Viscosity module of the FactSage is used for calculating to obtain the liquid phase viscosity under different temperature conditions; the liquid phase generation amount, the reaction enthalpy and the liquid phase viscosity at the specific temperature are selected as evaluation parameters, vector normalization processing is carried out, weights are set, and a TOPSIS multi-criterion decision-making method is adopted to calculate the relative closeness degree of each group of evaluation parameters; and taking the relative close degree as an evaluation index of the iron ore powder sintering reaction performance. According to the invention, the accuracy and efficiency of sintering reaction performance evaluation are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of metallurgy, and particularly relates to a method and system for evaluating sintering reaction performance of iron ore fines. BACKGROUND

[0002] Iron ore sintering is an indispensable key pretreatment process in modern blast furnace ironmaking process, and its main purpose is to bond various powdery iron raw materials that cannot be directly charged into the furnace into blocky sintered ore with good strength and metallurgical properties at high temperature, so as to provide high-quality and stable furnace charge for the blast furnace. In this process, a series of complex high-temperature chemical reactions of the material is the core driving force of the sintering process, which directly determines the microstructure and macro quality of the sintered ore, and ultimately affects the energy consumption index of the blast furnace and the pig iron smelting cost.

[0003] The high-temperature reactions in the iron ore sintering process mainly include solid-phase reactions, liquid-phase reactions, gas-phase reactions, and oxidation-reduction reactions. Among them, the solid-liquid-gas phase reactions constitute the basis of the oxidation-reduction reactions, and the generation and behavior of the liquid phase play the most critical role in the whole process. The liquid phase is the core bonding medium connecting the original ore powder particles and forming the solid framework of the sintered ore. The properties such as the generation temperature, generation amount, fluidity (viscosity), and mineral composition after solidification of the liquid phase directly determine all key quality indicators of the final sintered ore, such as the drum strength, reducibility, low-temperature reduction disintegration rate, and particle size composition. Therefore, accurately evaluating the properties of the liquid phase in the high-temperature sintering process of the iron ore fines is the core foundation for optimizing the sintering ore blending, improving the sintered ore quality, and ensuring the efficient and smooth operation of the blast furnace.

[0004] Currently, the evaluation methods of iron ore sintering reaction performance mainly include two types: high temperature basic property index method and sintering cup experiment method. The basic property index method indirectly evaluates the sintering behavior of ore fines by testing single parameters such as assimilation, liquid phase fluidity, intercrystalline strength, calcium ferrite formation ability, etc. For example, Chinese patent CN106769661A discloses a method for evaluating the liquid phase fluidity of iron ore fines sample by measuring the molten flow area of the sample at high temperature; CN111579383A discloses a method for evaluating the intercrystalline performance of the ore fines pellets by determining the compressive strength of the pellets after roasting. Although these methods can reflect the characteristics of the ore fines from a certain perspective, they have obvious limitations: first, they are isolated evaluations of single influencing factors, and cannot comprehensively reflect the comprehensive performance under the synergistic action of liquid phase generation amount, thermal behavior, viscosity and other factors; second, these methods are heavily dependent on physical experiments, with complicated process, long time-consuming, high cost and human operation errors; third, for the crucial parameter of “liquid phase generation amount”, it cannot be directly measured by experiment, but can only be inferred by experience. These shortcomings result in poor dynamic response of the existing evaluation methods, which cannot meet the needs of rapid, online and comprehensive evaluation of raw material changes in sintering production, and cannot provide real-time and accurate data support for intelligent ore matching. SUMMARY

[0005] The present application aims to solve the problems of fragmentation, strong experimental dependence, inability to measure key parameters and poor dynamic adaptability of the existing evaluation methods of iron ore sintering reaction performance, and proposes an evaluation method and system of iron ore sintering reaction performance.

[0006] The technical solution adopted by the present application to solve the above technical problems is:

[0007] In a first aspect, the present application provides an evaluation method of iron ore sintering reaction performance, which comprises:

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

[0009] normalizing the mass percentage content of the chemical composition so that the sum of the contents of each chemical component is 100%;

[0010] using the Equilib module of the thermodynamic calculation software FactSage, inputting the normalized chemical composition content, setting the reaction conditions, and calculating the results at the reaction equilibrium under different temperature conditions;

[0011] The liquid phase generation amount, liquid phase chemical composition and reaction enthalpy data under different temperature equilibrium states are extracted from the calculation results of the Equilib module; and the liquid phase chemical composition is input into the Viscosity module of the FactSage, and the liquid phase viscosity under different temperature conditions is calculated;

[0012] The liquid phase generation amount, reaction enthalpy and liquid phase viscosity under a specific temperature are selected as evaluation parameters, the evaluation parameters are subjected to vector normalization processing and weight setting, the Euclidean distance of each group of evaluation parameters from the positive ideal solution and the negative ideal solution is calculated respectively by using the TOPSIS multi-criteria decision method, and the relative closeness is calculated according to the Euclidean distance.

[0013] The relative closeness is taken as an evaluation index of the sintering reaction performance of the iron ore fines, and the higher the relative closeness is, the better the sintering reaction performance is.

[0014] Further, the calculation formula of the Euclidean distance of each group of evaluation parameters from the positive ideal solution is as follows:

[0015] ;

[0016] ; ; ;

[0017] wherein, d i represents the Euclidean distance of the i th group of evaluation parameters from the positive ideal solution, d i represents the Euclidean distance of the i th group of evaluation parameters from the positive ideal solution, d i represents the Euclidean distance of the i th group of evaluation parameters from the positive ideal solution, d i represents the Euclidean distance of the i th group of evaluation parameters from the positive ideal solution, , n represents the number of groups of evaluation parameters, d i represents the Euclidean distance of the i th group of evaluation parameters from the positive ideal solution,

[0018] The calculation formula of the Euclidean distance of each group of evaluation parameters from the negative ideal solution is as follows:

[0019] ;

[0020] ; ; ;

[0021] wherein, d i represents the Euclidean distance of the i th group of evaluation parameters from the negative ideal solution, d i represents the Euclidean distance of the i th group of evaluation parameters from the negative ideal solution, d i represents the Euclidean distance of the i th group of evaluation parameters from the negative ideal solution.

[0022] Further, the calculation formula of the relative closeness is as follows:

[0023] ;

[0024] wherein, represents the relative closeness of the first group of evaluation parameters.

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

[0026] Further, the initial condition set by the Equilib module is set as: mass unit g, temperature unit ℃, initial temperature 20℃, initial pressure 1atm;

[0027] The condition set by the Viscosity module is set as: mass unit g, temperature unit ℃, viscosity unit Pa·S.

[0028] Further, the temperature range set by the Equilib module is set as 1000℃ to 1400℃, and the calculation step is 50℃;

[0029] When the Equilib module is calculated, the product selection is set as pure liquid and pure solid.

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

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

[0032] Further, the specific reaction temperature condition selected for evaluation is 1250℃.

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

[0034] In a second aspect, the present application provides an iron ore powder sintering reaction performance evaluation system for realizing the iron ore powder sintering reaction performance evaluation method as described in the first aspect, and the system comprises:

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

[0036] A processing unit is configured to normalize the mass percentage content of the chemical composition, so that the sum of the contents of each chemical component is 100%;

[0037] a calculation unit configured to input the normalized chemical composition content, set reaction conditions, and calculate results at reaction equilibrium under different temperature conditions using an Equilib module of a thermodynamic calculation software FactSage; extract 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; input the liquid phase chemical composition into a Viscosity module of the FactSage, and calculate liquid phase viscosity under different temperature conditions; and select the liquid phase generation amount, the reaction enthalpy, and the liquid phase viscosity under a specific temperature as evaluation parameters, perform vector normalization processing on each evaluation parameter and set weights, calculate Euclidean distances of each group of evaluation parameters from a positive ideal solution and a negative ideal solution respectively using a TOPSIS multi-criteria decision method, and calculate a relative closeness degree according to the Euclidean distances;

[0038] an evaluation unit configured to use the relative closeness degree as an evaluation index of the sintering reaction performance of the iron ore fines, and a higher relative closeness degree indicates a better sintering reaction performance.

[0039] The iron ore fines sintering reaction performance evaluation method and system provided by the application integrate three key parameters of liquid phase generation amount, reaction enthalpy, and liquid phase viscosity, obtain a comprehensive score (relative closeness degree) through a multi-criteria decision algorithm (TOPSIS), and thus can more comprehensively and scientifically reflect the comprehensive sintering reaction performance of the iron ore fines; the method does not need any tedious and time-consuming physical experiments, but only needs to input the basic chemical composition of the iron ore fines, and can quickly calculate the evaluation results through the thermodynamic software FactSage within a few minutes, greatly shortens the analysis cycle, reduces the labor, material, and time costs, and realizes nearly real-time dynamic evaluation; the method can accurately calculate the liquid phase generation amount under different temperatures through the calling of a mature thermodynamic database and an Equilib module, and solves the technical problem that the liquid phase generation amount cannot be directly measured; the relative closeness degree can provide intuitive and quantitative data support for sintering ore matching, guide the optimization of the ore matching scheme, and predict the sinter quality, and thus helps to stabilize the sintering process, strengthen the sinter quality, and reduce the fuel consumption of a blast furnace, and finally achieves the purpose of cost reduction and benefit increase. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 a flowchart of the iron ore fines sintering reaction performance evaluation method provided for the embodiment;

[0041] Figure 2 a structural diagram of the iron ore fines sintering reaction performance evaluation system provided for the embodiment. DETAILED DESCRIPTION

[0042] In order to solve the problems of fragmentation, strong experimental dependence, inability to measure key parameters and poor dynamic adaptability of the existing evaluation method of sintering reaction performance of iron ore fines, the technical scheme of the present application is proposed. The present application obtains the liquid phase generation amount, reaction enthalpy and liquid phase viscosity of iron ore fines under different temperature conditions through thermodynamic calculation, then calculates the Euclidean distance of each group of parameters from the best and worst through the method of multi-criteria decision, and finally obtains the relative closeness, the higher the closeness, the better the sintering reaction performance of the iron ore fines. The three key parameters of liquid phase generation amount, reaction enthalpy and liquid phase viscosity are integrated, so that the comprehensive sintering reaction performance of the iron ore fines can be more comprehensively and more scientifically reflected. Moreover, the present application does not need any tedious and time-consuming physical experiment, only needs to input the basic chemical composition of the iron ore fines, and obtains the liquid phase related parameters through the thermodynamic software FactSage, so that the response speed is fast, the raw material adaptability is strong, the analysis period is greatly shortened, the labor, material and time costs are reduced, the dynamic evaluation is realized in near real time, the sintering ore blending can be provided with reference support, the sintering reaction process can be optimized, the sinter quality can be strengthened, and the experimental cost of detection and analysis can be reduced.

[0043] The technical solutions in the embodiments will be clearly and completely described below with reference to the drawings in the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0044] Figure 1 A flowchart of an iron ore fines sintering reaction performance evaluation method is shown, please refer to Figure 1 The method comprises the following steps:

[0045] Step 1, obtain the chemical composition of the iron ore fines to be evaluated, which includes the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3.

[0046] In actual application, the key chemical component mass percentage content of the iron ore fines sample to be evaluated can be accurately measured by standard chemical analysis method (such as X-ray fluorescence spectrum analysis, XRF). These components include Fe2O3 (ferric oxide), FeO (ferrous oxide), SiO2 (silicon dioxide), CaO (calcium oxide), MgO (magnesium oxide) and Al2O3 (aluminum oxide), which are the core components of the main liquid phase in the sintering process, and their content directly determines the behavior of high temperature reaction and the properties of liquid phase.

[0047] Step 2, normalize the mass percentage content of the chemical composition, so that the sum of the content of each chemical component is 100%.

[0048] Since the sum of the contents of each component obtained by the assay may not be exactly 100%, or there may be other trace elements not measured. In order to ensure the accuracy of subsequent thermodynamic calculations and the consistency of the system, it is necessary to normalize the measured contents of the above six oxides. Specifically, the mass percentage of each oxide can be calculated as the ratio of the total mass percentage of the six oxides, and then multiplied by 100%. The sum of the six oxides after such processing is strictly equal to 100%, providing standardized data for 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 at different temperature conditions under reaction equilibrium.

[0050] It can be understood that 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, which needs to make the following key settings:

[0051] Select database: Must select a database suitable for oxide systems, such as "FToxid".

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

[0053] Set the calculation conditions:

[0054] The temperature range is usually set to cover the key temperature interval of the sintering process, for example, from 1000°C to 1400°C.

[0055] The calculation step is usually set to 50°C to balance the calculation accuracy and efficiency.

[0056] The initial conditions of the calculation are set as: mass unit g, temperature unit ℃, initial temperature 20 ℃, initial pressure set to 1 standard atmosphere (atm).

[0057] In the selection of "products" or "phases", usually specify 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, according to the chemical composition of the iron ore powder, the reaction of the iron ore powder under different high temperature conditions is simulated and calculated in the thermodynamic calculation software FactSage by inputting the reactants, content and performing key settings. Under the condition of not adding other raw materials and only single ore powder, a series of results such as the phase composition and content, phase chemical composition, and enthalpy change of the reaction process at a specific temperature can be obtained by calculation. Generally, the amount of liquid phase increases with the increase of temperature, and the temperature and content of the liquid phase generated by different ore powders are different. The lower the liquid phase generation temperature and the more the liquid phase generation amount, the more conducive to the liquid phase consolidation reaction process. The reaction enthalpy can reflect the heat absorption and release in the high temperature reaction process of the iron ore powder. The lower the heat absorption reaction enthalpy, the lower the heat consumption required by the reaction. The amount of liquid phase and the reaction enthalpy are both key indicators for describing the sintering reaction process.

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

[0060] It can be understood that this step is used to extract the required key data: the amount of liquid phase generated, the chemical composition of the liquid phase, and the reaction enthalpy from the calculation results of the Equilib module. Among them:

[0061] Amount of liquid phase: find the liquid phase named “Slag-liq#1” or similar in the calculation results, and directly read its mass percentage at each temperature, which is the amount of liquid phase generated at that temperature.

[0062] Liquid phase chemical composition: read the detailed chemical composition of the “Slag-liq#1” phase at each temperature, which is the content of various oxides in the liquid phase.

[0063] Reaction enthalpy: the Equilib module will directly give the total enthalpy change of the system from the initial temperature to each target temperature, which is the reaction enthalpy, reflecting the thermal effect of the reaction at that temperature.

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

[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) Normalizing the mass percentage content of the chemical composition, so that the sum of the content 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 at different temperature conditions.

[0089] (4) 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; and using the Viscosity module of FactSage, input the liquid phase chemical composition, and calculate the liquid phase viscosity under different temperature conditions. The thermodynamic calculation results of the liquid phase generation amount, reaction enthalpy and liquid phase viscosity at 1250℃ are shown in Table 2.

[0090] Table 2 Calculation results of liquid phase generation amount, reaction enthalpy and liquid phase viscosity of 10 kinds of iron ore fines at 1250℃

[0091]

[0092] (5) Selecting the liquid phase generation amount, reaction enthalpy and liquid phase viscosity at a specific temperature as evaluation parameters, vector normalizing each evaluation parameter and setting the weight, using the TOPSIS multi-criteria decision method, calculating the Euclidean distance of each group of evaluation parameters from the positive ideal solution and the negative ideal solution, and calculating the relative closeness accordingly.

[0093] (6) Taking the relative closeness as the evaluation index of the sintering reaction performance of the iron ore fines, the higher the relative closeness, the better the sintering reaction performance. The relative closeness and sintering reaction performance ranking of 10 kinds of iron ore fines to be evaluated are shown in Table 3.

[0094] Table 3 Relative closeness and sintering reaction performance ranking of 10 kinds of iron ore fines to be evaluated

[0095]

[0096] The sintering reaction performance evaluation of 10 kinds of iron ore fines to be evaluated is obtained by the multi-criteria decision method, The range is [0, 1], the higher represents the sintering reaction performance is better, from good to bad in turn D>A>H>E>B>G>I>C>J>F, the higher the score indicates that the iron ore powder has a higher liquid phase generation amount, lower reaction energy demand and better liquid phase flowability, which is more conducive to the progress of solid-liquid reaction in the high temperature sintering process. Studies have shown that a lower SiO2 content is conducive to promoting the generation of liquid phase, but excessive SiO2 content will increase the viscosity and reduce the reaction performance, for example, the evaluated iron ore powder F ranks 10th; MgO can reduce the viscosity of the liquid phase, for example, the evaluated iron ore powder D ranks first, which has a higher MgO content. According to the sintering reaction performance evaluation of the iron ore powder, the production site can not only consider the cost, but also consider the sintering reaction performance when optimizing the ore blending, thereby ensuring the quality of the sintered ore.

[0097] In summary, the sintering reaction performance evaluation method of the iron ore powder provided in the embodiment integrates the three key parameters of liquid phase generation amount, reaction enthalpy and liquid phase viscosity, and obtains a comprehensive score through a multi-criteria decision algorithm, so that the comprehensive sintering reaction performance of the iron ore powder can be more comprehensively and more scientifically reflected; the method does not need any tedious and time-consuming physical experiments, and only needs to input the basic chemical composition of the iron ore powder, so that the evaluation result can be quickly calculated through the thermodynamic software FactSage in a few minutes, thereby greatly shortening the analysis period, reducing the labor, material and time costs, and realizing the near real-time dynamic evaluation; by calling the mature thermodynamic database and balance calculation module, the liquid phase generation amount at the equilibrium state at different temperatures can be accurately calculated, thereby solving the technical problem that the liquid phase generation amount cannot be directly measured; the calculated relative closeness can provide intuitive and quantitative data support for sintering ore blending, guide the optimization of the ore blending scheme, and predict the quality of the sintered ore, thereby helping to stabilize the sintering process, strengthen the quality of the sintered ore, and reduce the fuel consumption of the blast furnace, and finally achieve the purpose of cost reduction and efficiency improvement.

[0098] Based on the above technical solution, the embodiment further provides a sintering reaction performance evaluation system of an iron ore powder, which is used to realize the sintering reaction performance evaluation method of the iron ore powder as described in the embodiment, please refer to Figure 2 , the system comprises:

[0099] An analysis unit is configured to acquire the chemical composition of the iron ore powder to be evaluated, wherein the chemical composition comprises the mass percentage content of Fe2O3, FeO, SiO2, CaO, MgO and Al2O3;

[0100] A processing unit is configured to normalize the mass percentage content of the chemical composition, so that the sum of the contents of each chemical component is 100%;

[0101] The computing unit is configured to input the normalized chemical composition content, set reaction conditions, and calculate the results at reaction equilibrium under different temperature conditions by using the Equilib module of the thermodynamic calculation software FactSage; extract the liquid phase generation amount, liquid phase chemical composition, and reaction enthalpy data under the equilibrium state at different temperatures from the calculation results of the Equilib module; input the liquid phase chemical composition into the Viscosity module of FactSage, and calculate the liquid phase viscosity under different temperature conditions; and select the liquid phase generation amount, reaction enthalpy, and liquid phase viscosity at a specific temperature as evaluation parameters, perform vector normalization processing on each evaluation parameter and set weights, calculate the Euclidean distances of each group of evaluation parameters from the positive ideal solution and the negative ideal solution by using the TOPSIS multi-criteria decision method, and calculate the relative closeness degrees according to the Euclidean distances.

[0102] The evaluation unit is configured to take the relative closeness degree as an evaluation index of the sintering reaction performance of the iron ore fines, and the higher the relative closeness degree is, the better the sintering reaction performance is.

[0103] It can be understood that the iron ore fines sintering reaction performance evaluation system described in the embodiment is a system for implementing the iron ore fines sintering reaction performance evaluation method described in the embodiment. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the part of the method.

Claims

1. A method for evaluating sintering reaction performance of iron ore fines, characterized by, The method comprises: acquiring a chemical composition of the iron ore powder to be evaluated, the chemical composition comprising mass percentage contents of Fe2O3, FeO, SiO2, CaO, MgO, and Al2O3; normalizing the mass percentage contents of the chemical composition so that the sum of the contents of each chemical component is 100%; using an Equilib module of a thermodynamic calculation software FactSage, inputting the normalized chemical composition contents, setting reaction conditions, and calculating results at reaction equilibrium under different temperature conditions; extracting 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 using a Viscosity module of the FactSage, inputting the liquid phase chemical composition, and calculating liquid phase viscosity under different temperature conditions; selecting liquid phase generation amount, reaction enthalpy, and liquid phase viscosity under a specific temperature as evaluation parameters, performing vector normalization on each evaluation parameter and setting weights, using a TOPSIS multi-criteria decision method to calculate Euclidean distances of each group of evaluation parameters from positive ideal solution and negative ideal solution respectively, and calculating relative closeness degrees according to the Euclidean distances; using the relative closeness degrees as an evaluation index of sintering reaction performance of the iron ore powder, and the higher the relative closeness degree, the better the sintering reaction performance.

2. The method for evaluating the sintering reactivity of iron ore fines according to claim 1, characterized in that, The calculation formula of the Euclidean distance of each group of evaluation parameters from the positive ideal solution is as follows: ； ； ； ； wherein, represents the first group evaluation parameters and the Euclidean distance of the positive ideal solution, respectively represents the first group evaluation parameters, the normalized values of the liquid phase generation amount, the reaction enthalpy and the liquid phase viscosity after weight adjustment, , represents the number of groups of evaluation parameters, represents the optimal value corresponding to the liquid phase generation amount, the reaction enthalpy and the liquid phase viscosity in the positive ideal solution; The calculation formula of the Euclidean distance of each group of evaluation parameters from the negative ideal solution is as follows: ； ； ； ； wherein, represents the first set of evaluation parameters and the Euclidean distance of the negative ideal solution, represents the worst value of the amount of liquid phase generation, the reaction enthalpy, and the viscosity of the liquid phase in the negative ideal solution.

3. The method for evaluating the sintering reactivity of iron ore fines according to claim 2, characterized by, The calculation formula of the relative closeness degree is as follows: ； wherein, represents the first relative closeness of the set of evaluation parameters.

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

5. The method for evaluating the sintering reactivity of iron ore fines according to claim 1, characterized in that, The initial condition for the Equilib module calculation is set as: mass unit g, temperature unit ℃, initial temperature 20 ℃, and initial pressure 1 atm; The condition for the Viscosity module calculation is set as: mass unit g, temperature unit ℃, and viscosity unit Pa·S.

6. The method for evaluating the sintering reactivity of iron ore fines according to claim 1 or 5, characterized in that, The calculation temperature range of the Equilib module is set as 1000 ℃ to 1400 ℃, and the calculation step is 50 ℃; In the product selection during the Equilib module calculation, pure liquid and pure solid are set.

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

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

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

10. An iron ore fines sintering reaction performance evaluation system, characterized by, A system for implementing the iron ore powder sintering reaction performance evaluation method according to any one of claims 1 to 9 comprises: an analysis unit configured to acquire a chemical composition of the iron ore powder to be evaluated, the chemical composition comprising mass percentage contents of Fe2O3, FeO, SiO2, CaO, MgO, and Al2O3; a processing unit configured to normalize the mass percentage contents of the chemical composition so that the sum of the contents of each chemical component is 100%; The computing unit is configured to input the normalized chemical composition content, set reaction conditions, and calculate the results at reaction equilibrium under different temperature conditions by using the Equilib module of the thermodynamic calculation software FactSage; extract the liquid phase generation amount, liquid phase chemical composition, and reaction enthalpy data under the equilibrium state at different temperatures from the calculation results of the Equilib module; input the liquid phase chemical composition into the Viscosity module of FactSage, and calculate the liquid phase viscosity under different temperature conditions; and select the liquid phase generation amount, reaction enthalpy, and liquid phase viscosity at a specific temperature as evaluation parameters, perform vector normalization processing on each evaluation parameter and set weights, calculate the Euclidean distances of each group of evaluation parameters from the positive ideal solution and the negative ideal solution by using the TOPSIS multi-criteria decision method, and calculate the relative closeness degrees according to the Euclidean distances. The evaluation unit is configured to use the relative closeness degrees as the evaluation indexes of the sintering reaction performance of the iron ore fines, and the higher the relative closeness degree is, the better the sintering reaction performance is.

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