Design method and system of five-element slag system for electroslag remelting and electronic equipment

Abstract

The application provides a design method and system of a five-component slag system for electroslag remelting and an electronic device, relates to the technical field of slag system design, and aims at an optimized slag system, calculates the values of each physical property parameter of the optimized slag system according to the mass percentage of each component in the optimized slag system, determines the screening range of each physical property parameter according to the value range of each physical property parameter set in the initial matching slag system set, screens the intermediate slag system set meeting the conditions in the matching slag system set according to the screening range of each physical property parameter, calculates the average of the physical property parameters of the slag system, determines an intermediate slag system, replaces the initial matching slag system set with the intermediate slag system set, repeats the above process, makes the obtained intermediate slag system set smaller and smaller, and makes the obtained intermediate slag system closer and closer to the optimal, automatically completes the iterative screening process, and finally obtains a target slag system that cannot be further optimized.

Description

Technical Field

[0001] This invention relates to the field of slag system design technology, and in particular to a design method, system and electronic equipment for a five-element slag system for electroslag remelting. Background Technology

[0002] Steel ingots smelted using the electroslag remelting (ESR) process possess advantages such as high purity and low segregation. Due to the stringent quality requirements of high-end mold steel, most high-end mold steels, both domestically and internationally, are currently produced using ESR, making it the primary technical means for smelting high-quality mold steel. In the ESR process, the slag plays a crucial role in melting electrodes, refining molten steel, and solidification, forming the basis for stable smelting. Therefore, selecting a suitable slag system is key to the ESR process. Currently, many domestic and international companies use the ANF-6 slag system (70% CaF2 and 30% Al2O3 by mass), which has a weak ability to remove inclusions. This is one of the main factors contributing to the high inclusion content in ESR ingots. Therefore, it is often necessary to develop new slag systems for ESR. However, designing new slag systems for ESR typically employs traditional trial-and-error methods, requiring step-by-step changes to the component ratios of the slag system, resulting in excessively high time and labor costs. Summary of the Invention

[0003] The purpose of this invention is to provide a design method, system and electronic equipment for a five-element slag system for electroslag remelting, which realizes a rapid iterative optimization process for the slag system used in electroslag furnaces, saving time and manpower costs.

[0004] To achieve the above objectives, the present invention provides the following solution:

[0005] On the one hand, the present invention provides a design method for a five-element slag system for electroslag remelting, comprising the following steps:

[0006] Based on the mass percentage of each component in the slag system to be optimized, the set of physical property parameters of the slag system to be optimized is calculated; the components in the slag system to be optimized include CaF2, Al2O3, CaO, MgO and SiO2; the set of physical property parameters includes density, melting point, electrical conductivity, optical basicity, calcium ion activity and viscosity.

[0007] Based on the range of physical property parameters of each set of physical property parameters in the matching slag system set, the set of physical property parameters of the slag system to be optimized is used as the screening condition to determine the first set of physical property parameter ranges; the matching slag system set includes several sets of slag systems and the set of physical property parameters corresponding to each slag system; the first set of physical property parameter ranges includes the first density range, the first melting point range, the first electrical conductivity range, the first optical alkalinity range, the first calcium ion activity range, and the first viscosity range.

[0008] Based on the first set of physical property parameters, a matching process is performed in the matching slag system set to obtain the intermediate slag system set; the intermediate slag system set includes several sets of slag systems that conform to the range of the first set of physical property parameters and the corresponding set of physical property parameters.

[0009] If the number of slag systems in the intermediate slag system set is not zero, then an intermediate slag system is determined based on the intermediate slag system set; the mass of each component in the intermediate slag system is the average mass percentage of the corresponding component in the intermediate slag system set.

[0010] Take the intermediate slag system as the slag system to be optimized, and take the set of intermediate slag systems as the matching slag system set. Jump to the step "Calculate the set of physical property parameters of the slag system to be optimized based on the mass percentage of each component in the slag system to be optimized".

[0011] If the number of slag systems in the intermediate slag system set is zero, then the slag system to be optimized is taken as the target slag system.

[0012] Optionally, based on the range of physical property parameters in each set of physical property parameters in the matching slag system set, and using the set of physical property parameters of the slag system to be optimized as the filtering condition, a first set of physical property parameter ranges is determined, specifically including:

[0013] Based on the density range in the matching slag system set, the density of the slag system to be optimized is used as the screening condition to determine the first density range; the lower limit of the first density range is the density of the slag system to be optimized, and the upper limit of the first density range is the upper limit of the density range in the matching slag system set.

[0014] Based on the conductivity range in the matching slag system set, and using the conductivity of the slag system to be optimized as a screening criterion, a first conductivity range is determined. When the conductivity of the slag system to be optimized is less than the average conductivity in the matching slag system set, the lower limit of the first conductivity range is the conductivity of the slag system to be optimized minus one-eighth of the conductivity range in the matching slag system set, and the upper limit of the first conductivity range is the average conductivity in the matching slag system set plus one-eighth of the conductivity range in the matching slag system set. When the conductivity of the slag system to be optimized is greater than the average conductivity in the matching slag system set, the lower limit of the first conductivity range is the average conductivity in the matching slag system set minus one-eighth of the conductivity range in the matching slag system set, and the upper limit of the first conductivity range is the conductivity of the slag system to be optimized plus one-eighth of the conductivity range in the matching slag system set.

[0015] Based on the range of optical alkalinity values ​​in the matching slag system set, the optical alkalinity of the slag system to be optimized is used as the screening condition to determine the first optical alkalinity range; the lower limit of the first optical alkalinity range is the optical alkalinity of the slag system to be optimized, and the upper limit of the first optical alkalinity range is the upper limit of the range of optical alkalinity values ​​in the matching slag system set.

[0016] Based on the range of calcium ion activity values ​​in the matching slag system set, the first range of calcium ion activity is determined using the calcium ion activity of the slag system to be optimized as the screening condition. The upper limit of the first range of calcium ion activity is the calcium ion activity of the slag system to be optimized, and the lower limit of the first range of calcium ion activity is the lower limit of the range of calcium ion activity values ​​in the matching slag system set.

[0017] Based on the viscosity range in the matched slag system set, and using the viscosity of the slag system to be optimized as a screening condition, a first viscosity range is determined. When the viscosity of the slag system to be optimized is less than the average viscosity in the matched slag system set, the lower limit of the first viscosity range is the viscosity of the slag system to be optimized minus one-eighth of the viscosity range in the matched slag system set, and the upper limit of the first viscosity range is the average viscosity in the matched slag system set plus one-eighth of the viscosity range in the matched slag system set. When the viscosity of the slag system to be optimized is greater than the average viscosity in the matched slag system set, the lower limit of the first viscosity range is the average viscosity in the matched slag system set minus one-eighth of the viscosity range in the matched slag system set, and the upper limit of the first viscosity range is the viscosity of the slag system to be optimized plus one-eighth of the viscosity range in the matched slag system set.

[0018] Optionally, an intermediate slag system is determined based on the intermediate slag system set, specifically including:

[0019] Calculate the average mass percentage of each component in the intermediate slag system set to obtain the component mean set; the component mean set includes the average mass percentage of CaF2, Al2O3, CaO, MgO, and SiO2 in the intermediate slag system set.

[0020] The intermediate slag system is determined based on the set of component mean values.

[0021] Optionally, the quality percentage of each component in the component mean set is an integer.

[0022] Optionally, the design method also includes:

[0023] Based on the range of mass percentage values ​​for each component, several slag systems are determined.

[0024] For each set of slag systems, the set of physical property parameters of the slag system is calculated.

[0025] Based on several sets of slag systems and the corresponding physical property parameter sets for each slag system, a set of matching slag systems is obtained.

[0026] Optionally, the mass percentage of CaF2 ranges from 30% to 70%, the mass percentage of Al2O3 ranges from 20% to 40%, the mass percentage of CaO ranges from 0% to 40%, the mass percentage of MgO ranges from 0% to 15%, and the mass percentage of SiO2 ranges from 0% to 15%.

[0027] Optionally, the density of the slag system in the matching slag system set ranges from 2 to 3 g / cm³. 3 The melting point of the slag system in the matched slag system set ranges from 500 to 2200℃, and the electrical conductivity of the slag system in the matched slag system set ranges from 0.5 to 3Ω. -1 ·cm -1 The optical alkalinity of the slag system in the matching slag system set ranges from 0.5 to 1, the calcium ion activity of the slag system in the matching slag system set ranges from 0.3 to 1 mol / 100g, and the viscosity of the slag system in the matching slag system set ranges from 0.01 to 0.1 Pa·s.

[0028] On the other hand, corresponding to the aforementioned design method for a five-element slag system for electroslag remelting, the present invention also provides a design system for a five-element slag system for electroslag remelting. When the design system for a five-element slag system for electroslag remelting is run by a computer, it executes the design method for a five-element slag system for electroslag remelting as described above.

[0029] On the other hand, the present invention also provides an electronic device, characterized in that the electronic device includes a memory and a processor, the memory storing a computer program, which, when run by the processor, executes a design method for a five-element slag system for electroslag remelting as described above.

[0030] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0031] This invention provides a design method, system, and electronic device for a five-element slag system used in electroslag remelting. The method includes: for the slag system to be optimized, calculating the values ​​of each physical property parameter of the slag system to be optimized according to the mass percentage of each component in the slag system to be optimized; determining the screening range of each physical property parameter based on the value range of each physical property parameter set in the initial matching slag system set; selecting an intermediate slag system set that meets the conditions from the matching slag system set according to the screening range of each physical property parameter; calculating the average value of the physical property parameters of the slag systems in the intermediate slag system set to determine an intermediate slag system; using the intermediate slag system set as the new slag system to be optimized; replacing the initial matching slag system set with the intermediate slag system set; repeating the above process to make the obtained intermediate slag system set smaller and smaller, and the obtained intermediate slag system closer and closer to the optimal one; automating the iterative screening process; and finally obtaining a target slag system that cannot be further optimized. Compared to existing methods that use trial and error for slag system design, the design method provided by this invention can automatically select the optimal slag system from a set of hundreds of thousands of slag systems, efficiently completing the optimization design of the slag system. Relying on the automated process of rapid iterative optimization, it saves time and manpower costs. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 This is a flowchart illustrating the process of establishing a matching slag system set in a design method for a five-element slag system for electroslag remelting provided in Embodiment 1 of the present invention;

[0034] Figure 2 This is a flowchart of a design method for a five-element slag system for electroslag remelting provided in Embodiment 1 of the present invention;

[0035] Figure 3 This is a flowchart illustrating step A2 in the method provided in Embodiment 1 of the present invention.

[0036] Figure 4 This is a schematic diagram of the design system of a five-element slag system for electroslag remelting provided in Embodiment 2 of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] The purpose of this invention is to provide a design method, system and electronic equipment for a five-element slag system for electroslag remelting, which realizes a rapid iterative optimization process for the slag system used in electroslag furnaces, saving time and manpower costs.

[0039] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0040] Example 1:

[0041] This embodiment provides a design method for a five-element slag system for electroslag remelting. Before designing the five-element slag system for electroslag remelting, a matching slag system set needs to be established first, such as... Figure 1 The flowchart shown illustrates the specific steps for establishing a matching slag set, including:

[0042] A1. Based on the mass percentage range of each component, several slag systems are determined. In this embodiment, the mass percentage range of CaF2 is 30%–70%, the mass percentage range of Al2O3 is 20%–40%, the mass percentage range of CaO is 0%–40%, the mass percentage range of MgO is 0%–15%, and the mass percentage range of SiO2 is 0%–15%. The variation step for each component is 1%, resulting in a total of 138,347 combinations, thus determining 138,347 slag systems.

[0043] A2. For each slag system, calculate the set of physical property parameters for that system. Specifically, first, based on the mass percentage of each component, convert it to obtain the mass percentage, mass percentage content, and molar percentage of each component to calculate the set of physical property parameters for each slag system. Calculate the density of the slag system using the following formula:

[0044]

[0045] Where: w(i) represents the mass percentage of component i; ρ represents the density of the slag system, in g / cm³. 3 .

[0046] The melting point of the slag system is calculated using the following formula:

[0047]

[0048] Where X1 represents the mass percentage of Al2O3, X2 represents the mass percentage of MgO, X3 represents the mass percentage of SiO2, X4 represents the mass percentage of CaO, X5 represents the mass percentage of CaF2, and T represents the melting point of the slag system in degrees Celsius.

[0049] The electrical conductivity of the slag system is calculated using the following formula:

[0050]

[0051] Where K represents conductivity, Ω represents ohms, cm represents centimeters, and x represents electrical conductivity. (i) Let represent the mole percentage of component i, T be the temperature, and exp() be the power operation of the constant e.

[0052] The optical alkalinity of the slag system is calculated using the following formula:

[0053]

[0054] Where, x (i) λ represents the mole percentage of component i. (i) λ represents the optical basicity of component i, and λ represents the optical basicity of the slag system.

[0055] The calcium ion activity of the slag system is calculated using the following formula:

[0056]

[0057] Where a is the calcium ion activity of the slag system, in g / mol; w(i) represents the mass percentage of component i.

[0058] The viscosity of the slag system is calculated using the following formula:

[0059]

[0060] Where η is the viscosity of the slag system, in Pa·s; X1 represents the mass percentage of Al2O3, X2 represents the mass percentage of MgO, X3 represents the mass percentage of SiO2, X4 represents the mass percentage of CaO, and X5 represents the mass percentage of CaF2.

[0061] A3. Based on several sets of slag systems and the corresponding physical property parameter sets for each slag system, a matching slag system set is obtained. This matching slag system set can exist in an Excel spreadsheet or other format, and includes several sets of slag systems and the corresponding physical property parameter sets for each slag system. The density values ​​of the slag systems in the matching slag system set range from 2 to 3 g / cm³. 3 The melting point ranges from 500 to 2200℃, and the electrical conductivity ranges from 0.5 to 3Ω. -1 ·cm -1The optical alkalinity ranges from 0.5 to 1, the calcium ion activity ranges from 0.3 to 1 mol / 100g, and the viscosity ranges from 0.01 to 0.1 Pa·s.

[0062] The matching slag system set constructed through steps A1 to A3 above will output the calculated values ​​of density, melting point, electrical conductivity, optical basicity, calcium ion activity, and viscosity for each combination of CaF2, Al2O3, CaO, MgO, and SiO2 within the input range of mass percentage variation, when the input range of density, melting point, electrical conductivity, optical basicity, calcium ion activity, and viscosity is obtained. Furthermore, inputting the range of density, melting point, electrical conductivity, optical basicity, calcium ion activity, and viscosity will output all combinations of CaF2, Al2O3, CaO, MgO, and SiO2 within that selection range.

[0063] After obtaining the matching slag set, such as Figure 2 The flowchart shown illustrates the design method for a five-element slag system used in electroslag remelting in this embodiment, which includes the following steps:

[0064] S1. Calculate the set of physical property parameters of the slag system to be optimized based on the mass percentage of each component in the slag system to be optimized. The components in the slag system to be optimized include CaF2, Al2O3, CaO, MgO, and SiO2. The set of physical property parameters includes density, melting point, electrical conductivity, optical basicity, calcium ion activity, and viscosity. In this embodiment, taking the ANF-6 slag system (70% CaF2 and 30% Al2O3 by mass) as an example, the density, melting point, electrical conductivity, optical basicity, calcium ion activity, and viscosity of the ANF-6 slag system are calculated according to the calculation formula in step A2. The results are shown in Table 1.

[0065] Table 1 Physical properties of ANF-6 slag system

[0066] 2.697599 1466.833 1.966656 0.665019 0.8966 0.02521

[0067] It is understandable that the values ​​calculated in Table 1 may deviate from the actual values, but the trend of the calculation results is accurate, so it will not affect the subsequent screening results. The unit of calcium ion activity in the calculation is mol / 100g.

[0068] S2. Based on the range of physical property parameters in each set of physical property parameters in the matching slag system set, and using the set of physical property parameters of the slag system to be optimized as the screening condition, determine the first set of physical property parameter ranges; the first set of physical property parameter ranges includes the first density range, the first melting point range, the first electrical conductivity range, the first optical alkalinity range, the first calcium ion activity range, and the first viscosity range. For example... Figure 3 The flowchart shown includes step S2, which specifically includes:

[0069] S21. Based on the density range in the matched slag system set, and using the density of the slag system to be optimized as the screening condition, determine the first density range; the lower limit of the first density range is the density of the slag system to be optimized, and the upper limit of the first density range is the upper limit of the density range in the matched slag system set. Specifically, after rounding, the density of the AFN-6 slag system is calculated to be 2.697 g / cm³. 3 The density selection range for the matched slag system set in this invention is 2.6257–2.9735 g / cm³. 3 Because a higher slag density results in greater buoyancy for the molten metal droplets at the end of the consumable electrode within the slag, the density of the new slag system must be greater than that of the original slag system. Therefore, the density selection range can be set to 2.697–2.9735 g / cm³. 3 .

[0070] S22. Based on the conductivity range in the matching slag system set, and using the conductivity of the slag system to be optimized as a screening condition, determine the first conductivity range. When the conductivity of the slag system to be optimized is less than the average conductivity in the matching slag system set, the lower limit of the first conductivity range is the conductivity of the slag system to be optimized minus one-eighth of the conductivity range in the matching slag system set, and the upper limit of the first conductivity range is the average conductivity in the matching slag system set plus one-eighth of the conductivity range in the matching slag system set. When the conductivity of the slag system to be optimized is greater than the average conductivity in the matching slag system set, the lower limit of the first conductivity range is the average conductivity in the matching slag system set minus one-eighth of the conductivity range in the matching slag system set, and the upper limit of the first conductivity range is the conductivity of the slag system to be optimized plus one-eighth of the conductivity range in the matching slag system set. Specifically, after rounding, the calculated conductivity of the ANF-6 slag system is 1.966Ω. -1 ·cm -1 The conductivity selection range in the matching slag system set of this invention is 0.5746Ω. -1 ·cm -1 ~2.9321Ω -1 ·cm -1 The average value is 1.753Ω. -1 ·cm -1The screening principle is as follows: if the conductivity of the original slag system is less than the average conductivity of all slag systems, then the lower limit of conductivity is set as: original slag system conductivity - one-eighth of the conductivity screening range, and the upper limit is: the average conductivity of all slag systems + one-eighth of the conductivity screening range; if the conductivity of the original slag system is greater than the average conductivity of all slag systems, then the lower limit of conductivity is: the average conductivity of all slag systems - one-eighth of the conductivity screening range, and the upper limit is: original slag system conductivity + one-eighth of the conductivity screening range. Therefore, the range of slag system conductivity is set to 1.4583Ω. -1 ·cm -1 ~2.26068Ω -1 ·cm -1 .

[0071] S23. Based on the optical basicity range in the matched slag system set, and using the optical basicity of the slag system to be optimized as the screening condition, a first optical basicity range is determined. The lower limit of the first optical basicity range is the optical basicity of the slag system to be optimized, and the upper limit of the first optical basicity range is the upper limit of the optical basicity range in the matched slag system set. Specifically, after rounding, the optical basicity calculated for the AFN-6 slag system is 0.665, and the screening range of optical basicity in the matched slag system set of this invention is 0.6147 to 0.8209. In metallurgical reactions, it is necessary to maintain a relatively high basicity of the slag to improve the reaction rate and smelting effect. Therefore, the screening condition for optical basicity is that it is greater than the optical basicity of the original slag system, so the screening range of optical basicity of the slag system is set to 0.665 to 0.821.

[0072] S24. Based on the range of calcium ion activity values ​​in the matched slag system set, and using the calcium ion activity of the slag system to be optimized as the screening condition, determine the first calcium ion activity range. The upper limit of the first calcium ion activity range is the calcium ion activity of the slag system to be optimized, and the lower limit of the first calcium ion activity range is the lower limit of the range of calcium ion activity values ​​in the matched slag system set. Specifically, after rounding, the calcium ion activity calculated for the AFN-6 slag system is 0.8966 mol / 100g. The screening range of calcium ion activity in the dataset of this design method is 0.34519–0.944 mol / 100g. The lower the calcium ion activity, the smaller and fewer the D-type and DS-type inclusions. Therefore, the screening condition is that the calcium ion activity of the new slag system is lower than that of the original slag system. Therefore, the screening range of calcium ion activity of the slag system can be set to 0.34519–0.8966 mol / 100g.

[0073] S25. Based on the viscosity range in the matching slag system set, and using the viscosity of the slag system to be optimized as the screening condition, determine the first viscosity range. When the viscosity of the slag system to be optimized is less than the average viscosity in the matching slag system set, the lower limit of the first viscosity range is the viscosity of the slag system to be optimized minus one-eighth of the viscosity range in the matching slag system set, and the upper limit of the first viscosity range is the average viscosity in the matching slag system set plus one-eighth of the viscosity range in the matching slag system set. When the viscosity of the slag system to be optimized is greater than the average viscosity in the matching slag system set, the lower limit of the first viscosity range is the average viscosity in the matching slag system set minus one-eighth of the viscosity range in the matching slag system set, and the upper limit of the first viscosity range is the viscosity of the slag system to be optimized plus one-eighth of the viscosity range in the matching slag system set. Specifically, after rounding, the viscosity of the ANF-6 slag system is calculated to be 0.027 Pa·s. The viscosity screening range in the matched slag system set of this invention is 0.016–0.081 Pa·s, with an average value of 0.0485 Pa·s. Based on the principle of keeping the slag system viscosity as moderate as possible, the screening principle is as follows: if the viscosity of the original slag system is less than the average viscosity of all slag systems, then the lower limit of viscosity screening is the original slag system viscosity minus one-eighth of the viscosity screening range, and the upper limit is the average viscosity of all slag systems plus one-eighth of the viscosity screening range; if the viscosity of the original slag system is greater than the average viscosity of all slag systems, then the lower limit of viscosity screening is the average viscosity of all slag systems minus one-eighth of the viscosity screening range, and the upper limit is the original slag system viscosity plus one-eighth of the viscosity screening range. The viscosity screening range can be set to (0.018875–0.056625 Pa·s).

[0074] S26. Determine the first melting point range based on the melting point of the slag-based steel. Generally, the melting point of the slag should be 100-200℃ lower than that of the steel. If the melting point of the steel is 1470℃, the screening range for the melting point of the slag can be set to 1270℃-1370℃. Within this temperature screening range, there is a large tolerance for the calculation error of the melting point.

[0075] S3. Based on the first set of physical property parameters, a matching process is performed in the matching slag system set to obtain an intermediate slag system set. The intermediate slag system set includes several slag systems that conform to the range of the first set of physical property parameters and their corresponding physical property parameter sets. Based on the first set of physical property parameters determined in step S2, a matching process can be performed in the matching slag system set to determine several slag systems that conform to the first set of physical property parameters. Specifically, in this embodiment, there are 9269 slag systems in the matching slag system set that conform to the first set of physical property parameters determined by the ANF-6 slag system. These 9269 slag systems constitute the intermediate slag system set.

[0076] S4. Determine if the quantity of slag systems in the intermediate slag system set is zero; if yes, proceed to step S5; otherwise, proceed to step S6.

[0077] S5. Take the slag system to be optimized as the target slag system.

[0078] S6. Determine an intermediate slag system based on the intermediate slag system set; the mass of each component in the intermediate slag system is the average mass percentage of the corresponding component in the intermediate slag system set. Step S6 specifically includes:

[0079] S61. Calculate the average mass percentage of each component in the intermediate slag system set to obtain a set of component averages. This set includes the average mass percentages of CaF2, Al2O3, CaO, MgO, and SiO2 in the intermediate slag system set. Specifically, in this embodiment, the average mass percentage of each component in the intermediate slag system set is calculated, resulting in the set of component averages shown in Table 2.

[0080] Table 2 Set of component means

[0081] CaF2 51.74188 Al2O3 24.76152 CaO 14.45775 MgO 3.94529 SiO2 5.093558

[0082] S62. Determine the intermediate slag system based on the set of component mean values. Combine the components and their mass percentages from Table 2 above as a slag system to obtain the intermediate slag system.

[0083] S7. Using the intermediate slag system as the slag system to be optimized and the set of intermediate slag systems as the matching slag system set, proceed to step S1. Using the intermediate slag system obtained in step S62 as the slag system to be optimized, return to step S1 to calculate the set of physical property parameters of the slag system to be optimized; and use the intermediate slag system set containing 9269 slag systems determined in step S3 as the new matching slag system set, continuing the matching process of S2-S3. When the first set of physical property parameters determined for a slag system to be optimized cannot be matched with a slag system in the matching slag system set, i.e., when the intermediate slag system set obtained in step S3 is empty, then the slag system to be optimized is taken as the target slag system. In this embodiment, after N iterations, the composition of the target slag system is CaF2: 48%, Al2O3: 25%, CaO: 17%, MgO: 4%, SiO2: 6%.

[0084] The design method for a five-element slag system for electroslag remelting provided in this embodiment calculates the values ​​of each physical property parameter of the slag system to be optimized based on the mass percentage of each component in the slag system to be optimized. Based on this and the value range of each physical property parameter set in the initial matching slag system set, the screening range of each physical property parameter is determined. According to the screening range of each physical property parameter, an intermediate slag system set that meets the conditions is selected from the matching slag system set, and the average value of the physical property parameters of the slag systems in the intermediate slag system set is calculated to determine an intermediate slag system. The intermediate slag system is used as the new slag system to be optimized, and the intermediate slag system set replaces the initial matching slag system set. The above process is repeated so that the obtained intermediate slag system set becomes smaller and smaller, and the obtained intermediate slag system becomes closer and closer to the optimal one. The iterative screening process is completed automatically, and finally a target slag system that cannot be further optimized (that is, the optimal one) is obtained. Compared to existing methods that use trial and error for slag system design, the design method provided by this invention can automatically select the optimal slag system from a set of hundreds of thousands of slag systems, efficiently completing the optimization design of the slag system. Relying on the automated process of rapid iterative optimization, it saves time and manpower costs.

[0085] Example 2:

[0086] Furthermore, the method of Embodiment 1 of the present invention can also be used by means of Figure 4 The architecture shown is implemented using a five-element slag system for electroslag remelting. For example... Figure 4 As shown, the one-year sea ice image extraction system may include a matching slag system set construction module M1, a physical property parameter set calculation module M2, a first physical property parameter range set determination module M3, an intermediate slag system set determination module M4, a component mean value calculation module M5, and an intermediate slag system determination module M6; some modules may also have sub-units for implementing their functions; for example, the physical property parameter set calculation module M2 may also include a density calculation unit, an electrical conductivity calculation unit, a melting point calculation unit, an optical alkalinity calculation unit, a calcium ion activity calculation unit, and a viscosity calculation unit. Of course, Figure 4 The architecture shown is merely exemplary; it can be omitted as needed when implementing different functionalities. Figure 4 One or at least two components of the system shown.

[0087] Specific examples are used in this article, but the above description is only to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. Those skilled in the art should understand that the various modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, and thus, they can be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.

[0088] Furthermore, those skilled in the art will recognize that, based on the principles of this invention, there will be variations in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as limiting the invention.

Claims

1. A design method of a quinary slag system for electroslag remelting, characterized in that, include: The set of physical property parameters of the slag system to be optimized is calculated based on the mass percentage of each component in the slag system to be optimized. The components in the slag system to be optimized include CaF2, Al2O3, CaO, MgO, and SiO2; the set of physical properties includes density, melting point, electrical conductivity, optical basicity, calcium ion activity, and viscosity. Based on the range of physical property parameters in each set of physical property parameters in the matching slag system set, and using the set of physical property parameters of the slag system to be optimized as the screening condition, a first set of physical property parameter ranges is determined; the matching slag system set includes several slag systems and the set of physical property parameters corresponding to each slag system; the first set of physical property parameter ranges includes a first density range, a first melting point range, a first electrical conductivity range, a first optical alkalinity range, a first calcium ion activity range, and a first viscosity range; Based on the first set of physical property parameters, a matching process is performed in the matching slag system set to obtain an intermediate slag system set; the intermediate slag system set includes several sets of slag systems that conform to the range of the first set of physical property parameters and the corresponding set of physical property parameters. If the number of slag systems in the intermediate slag system set is not zero, then an intermediate slag system is determined according to the intermediate slag system set; the mass of each component in the intermediate slag system is the average mass percentage of the corresponding component in the intermediate slag system set. Take the intermediate slag system as the slag system to be optimized, and take the set of intermediate slag systems as the matching slag system set. Jump to the step "Calculate the set of physical property parameters of the slag system to be optimized based on the mass percentage of each component in the slag system to be optimized". If the number of slag systems in the intermediate slag system set is zero, then the slag system to be optimized is taken as the target slag system.

2. The design method for a five-element slag system for electroslag remelting according to claim 1, characterized in that, Based on the range of physical property parameters in each set of physical property parameters in the matching slag system set, and using the set of physical property parameters of the slag system to be optimized as the screening condition, a first set of physical property parameter ranges is determined, specifically including: Based on the density range in the matching slag system set, and using the density of the slag system to be optimized as the screening condition, a first density range is determined; the lower limit of the first density range is the density of the slag system to be optimized, and the upper limit of the first density range is the upper limit of the density range in the matching slag system set. Based on the conductivity range in the matched slag system set, and using the conductivity of the slag system to be optimized as a screening criterion, a first conductivity range is determined. When the conductivity of the slag system to be optimized is less than the average conductivity in the matched slag system set, the lower limit of the first conductivity range is the conductivity of the slag system to be optimized minus one-eighth of the conductivity range in the matched slag system set, and the upper limit of the first conductivity range is the average conductivity in the matched slag system set plus one-eighth of the conductivity range in the matched slag system set. When the conductivity of the slag system to be optimized is greater than the average conductivity in the matched slag system set, the lower limit of the first conductivity range is the average conductivity in the matched slag system set minus one-eighth of the conductivity range in the matched slag system set, and the upper limit of the first conductivity range is the conductivity of the slag system to be optimized plus one-eighth of the conductivity range in the matched slag system set. Based on the range of optical alkalinity values ​​in the matching slag system set, and using the optical alkalinity of the slag system to be optimized as a screening condition, a first optical alkalinity range is determined; the lower limit of the first optical alkalinity range is the optical alkalinity of the slag system to be optimized, and the upper limit of the first optical alkalinity range is the upper limit of the range of optical alkalinity values ​​in the matching slag system set. Based on the range of calcium ion activity values ​​in the matched slag system set, and using the calcium ion activity of the slag system to be optimized as a screening condition, a first calcium ion activity range is determined; the upper limit of the first calcium ion activity range is the calcium ion activity of the slag system to be optimized, and the lower limit of the first calcium ion activity range is the lower limit of the range of calcium ion activity values ​​in the matched slag system set. Based on the viscosity range in the matched slag system set, a first viscosity range is determined using the viscosity of the slag system to be optimized as a screening condition. When the viscosity of the slag system to be optimized is less than the average viscosity in the matched slag system set, the lower limit of the first viscosity range is the viscosity of the slag system to be optimized minus one-eighth of the viscosity range in the matched slag system set, and the upper limit of the first viscosity range is the average viscosity in the matched slag system set plus one-eighth of the viscosity range in the matched slag system set. When the viscosity of the slag system to be optimized is greater than the average viscosity in the matched slag system set, the lower limit of the first viscosity range is the average viscosity in the matched slag system set minus one-eighth of the viscosity range in the matched slag system set, and the upper limit of the first viscosity range is the viscosity of the slag system to be optimized plus one-eighth of the viscosity range in the matched slag system set.

3. The method for designing a five-component slag system for electroslag remelting according to claim 1, characterized in that, An intermediate slag system is determined based on the aforementioned set of intermediate slag systems, specifically including: Calculate the average mass percentage of each component in the intermediate slag system set to obtain a set of component averages; the set of component averages includes the average mass percentage of CaF2, the average mass percentage of Al2O3, the average mass percentage of CaO, the average mass percentage of MgO, and the average mass percentage of SiO2 in the intermediate slag system set. The intermediate slag system is determined based on the set of mean values ​​of the components.

4. The method for designing a five-component slag system for electroslag remelting according to claim 3, characterized in that, The mass percentage of each component in the component mean set is an integer.

5. The method for designing a five-component slag system for electroslag remelting according to claim 1, characterized in that, The design method further includes: Based on the range of mass percentage values ​​for each component, several slag systems are determined; For each set of slag systems, the set of physical property parameters of the slag system is calculated; Based on several sets of slag systems and the corresponding physical property parameter sets for each slag system, a set of matching slag systems is obtained.

6. The method for designing a five-component slag system for electroslag remelting according to claim 1, characterized in that, The mass percentage of CaF2 ranges from 30% to 70%, the mass percentage of Al2O3 ranges from 20% to 40%, the mass percentage of CaO ranges from 0% to 40%, the mass percentage of MgO ranges from 0% to 15%, and the mass percentage of SiO2 ranges from 0% to 15%.

7. The method for designing a five-component slag system for electroslag remelting according to claim 1, characterized in that, The density of the slag system in the matched slag system set ranges from 2 to 3 g / cm³. 3 The melting point of the slag system in the matched slag system set ranges from 500 to 2200℃, and the electrical conductivity of the slag system in the matched slag system set ranges from 0.5 to 3Ω. -1 ·cm -1 The optical alkalinity of the slag system in the matching slag system set ranges from 0.5 to 1, the calcium ion activity of the slag system in the matching slag system set ranges from 0.3 to 1 mol / 100g, and the viscosity of the slag system in the matching slag system set ranges from 0.01 to 0.1 Pa·s.

8. A system for designing a five-component slag system for electroslag remelting, characterized in that When the design system for the five-element slag system for electroslag remelting is run by a computer, it executes the design method for the five-element slag system for electroslag remelting as described in any one of claims 1-7.

9. An electronic device, comprising: The electronic device includes a memory and a processor. The memory stores a computer program, which, when run by the processor, executes a design method for a five-element slag system for electroslag remelting as described in any one of claims 1-7.

Images