A method and device for analyzing titanium carbonitride precipitation amount, a storage medium and an equipment

Abstract

The application discloses a kind of titanium carbonitride precipitation quantity analysis method, device, storage medium and equipment, it is related to metal smelting technical field, mainly in solving the prediction time cost of existing titanium carbonitride precipitation under different process conditions, low accuracy and reliability, and lack of prediction under cooling condition, including obtaining continuous casting pressing process process parameters to be analyzed;Using micro-element method to improve the cooling curing process in strain-induced precipitation, an improved cooling curing model is obtained;Based on the thermodynamic principles of strain-induced precipitation and the improved cooling curing model, the precipitation process of titanium carbonitride under the process parameters to be analyzed is calculated and processed, and the precipitation of titanium carbonitride corresponding to the process parameters to be analyzed is obtained.

Description

Technical Field

[0001] This invention relates to the field of metal smelting technology, and in particular to a method, apparatus, storage medium and equipment for analyzing the amount of titanium carbonitride precipitation. Background Technology

[0002] Calculating the size and volume fraction of titanium carbonitride (Ti(C,N)) during hot working of microalloyed steels with different titanium contents is fundamental for rationally designing steel composition, saving costs, and improving material strength. Strain-induced precipitation of titanium carbonitride (Ti(C,N)) is an important material phenomenon, mainly involving the precipitation of Ti(C,N) from the solid solution under plastic deformation. The size and quantity of the precipitated Ti(C,N) directly affect the yield strength and toughness of the steel.

[0003] Currently, empirical models based on experimental data are used to predict the precipitation of Ti(C,N) in titanium microalloyed steel under different processing conditions. However, empirical models are highly data-dependent, requiring a large amount of experimental data to determine model parameters, which often consumes significant time and resources. Furthermore, the accuracy and reliability of the experimental data also affect the model's predictive performance. If the experimental data coverage is insufficient or errors exist during the experiment, the established model may fail to accurately predict conditions not included in the experimental data. Moreover, empirical models are typically trained under isothermal conditions and lack research on cooling conditions, making it impossible to predict Ti(C,N) precipitation under cooling conditions. Summary of the Invention

[0004] In view of this, the present invention provides a method, apparatus, storage medium and equipment for analyzing the amount of titanium carbonitride precipitation, the main purpose of which is to solve the problems of high time cost, low accuracy and reliability of existing methods for predicting the precipitation of titanium carbonitride under different process conditions, as well as the lack of prediction under cooling conditions.

[0005] According to one aspect of the present invention, a method for analyzing the amount of titanium carbonitride precipitation is provided, comprising:

[0006] Obtain the process parameters to be analyzed in the continuous casting reduction process;

[0007] The maturation process in strain-induced precipitation was improved by cooling maturation using the infinitesimal element method, resulting in an improved cooling maturation model.

[0008] Based on the thermodynamic principle of strain-induced precipitation and the improved cooling and ripening model, the precipitation process of titanium carbonitride under the process parameters to be analyzed is calculated to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0009] Furthermore, the process parameters to be analyzed include the initial pressing temperature, cooling time, and cooling rate; the improved cooling maturation model obtained by using the infinitesimal element method to improve the maturation process in strain-induced precipitation includes:

[0010] The cooling time is divided into multiple time units, and the end temperature corresponding to each time unit is determined based on the cooling rate and the initial pressing temperature.

[0011] The aging model under isothermal conditions is improved based on the initial and final temperatures of the compression to obtain the precipitated particle size corresponding to each time unit.

[0012] The improved cooling ripening model is obtained by averaging the particle sizes corresponding to each time unit.

[0013] Furthermore, the acquisition of the process parameters to be analyzed during the cooling process includes:

[0014] Upon receiving a user analysis request, a process parameter input session is initiated; and data from the process parameter input session is extracted to obtain the process parameters to be analyzed; or,

[0015] Upon receiving a user's analysis request, the process parameter data table is loaded; and the data in the process parameter data table is extracted to obtain the process parameters to be analyzed.

[0016] Furthermore, the process parameters to be analyzed also include rheological stress, yield stress, and steel composition;

[0017] The thermodynamic principle based on strain-induced precipitation and the improved cooling ripening model are used to calculate the precipitation process of titanium carbonitride under the process parameters to be analyzed, and the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed is obtained, including:

[0018] The dislocation density at the start of precipitation is determined based on the rheological stress and the yield stress; and the number of available sites for heterogeneous nucleation is determined based on the dislocation density.

[0019] The nucleation rate of strain-induced precipitation is determined based on the number of available sites and the steel composition, and the evolution function of the precipitate nucleation and growth process is determined based on the nucleation rate.

[0020] When the nucleation and growth size of the precipitate reaches the critical radius, the maturation process is calculated based on the improved cooling maturation model to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0021] Furthermore, after obtaining the titanium carbonitride precipitation status corresponding to the process parameters to be analyzed, the method further includes:

[0022] The initial pressing temperature in the process parameters to be analyzed is set according to the same temperature difference; and the rheological stress and yield stress corresponding to each different initial pressing temperature are determined to obtain a set of temperature-varying process parameter data for comparing the degree of influence of temperature on the amount of precipitation.

[0023] The thermodynamic principle of strain-induced precipitation and the improved cooling curing model were used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the temperature change process parameter data set, so as to obtain the first titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0024] The precipitation of the first titanium carbonitride is plotted based on different initial compression temperatures to obtain a first image showing the change of the precipitation of the first titanium carbonitride with the initial compression temperature.

[0025] Furthermore, the method also includes:

[0026] The material strain is modified, and the rheological stress and yield stress corresponding to each different initial temperature under pressure in the temperature change process parameter data set are updated based on the modified material strain to obtain a strain process parameter data set for comparing the degree of influence of strain on precipitation.

[0027] The thermodynamic principle of strain-induced precipitation and the improved cooling ripening model are used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the strain process parameter data set, so as to obtain the second titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0028] The precipitation of the second titanium carbonitride is plotted based on different initial compression temperatures to obtain a second image showing the change of the second titanium carbonitride precipitation with the initial compression temperature.

[0029] Furthermore, the method also includes:

[0030] Output the titanium carbonitride precipitation status and display the titanium carbonitride precipitation status on a display; and / or,

[0031] Output the first image and display the first image using the display; and / or,

[0032] The first image and the second image are merged based on the same initial compression temperature to obtain a comparison image; and the comparison image is displayed on the display.

[0033] According to another aspect of the present invention, an analytical apparatus for the amount of titanium carbonitride precipitation is provided, comprising:

[0034] The parameter acquisition module is used to acquire the process parameters to be analyzed in the continuous casting reduction process;

[0035] An improved module is used to improve the cooling and ripening process in strain-induced precipitation by employing the micro-element method, resulting in an improved cooling and ripening model.

[0036] The process calculation module is used to calculate the precipitation process of titanium carbonitride under the process parameters to be analyzed based on the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model, so as to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0037] Furthermore, the process parameters to be analyzed include the initial pressing temperature, cooling time, and cooling rate; the improvement module includes:

[0038] A division unit is used to divide the cooling time into multiple time units, and to determine the end temperature corresponding to each time unit based on the cooling rate and the initial pressing temperature;

[0039] The micro-element improvement unit is used to improve the aging model under isothermal conditions based on the initial compression temperature and the final temperature to obtain the precipitated particle size corresponding to each of the time units.

[0040] The overall improvement unit is used to average the particle size corresponding to each time unit to obtain the improved cooling and ripening model.

[0041] Furthermore, the parameter acquisition module is also used for:

[0042] Upon receiving a user analysis request, a process parameter input session is initiated; and data from the process parameter input session is extracted to obtain the process parameters to be analyzed; or,

[0043] Upon receiving a user's analysis request, the process parameter data table is loaded; and the data in the process parameter data table is extracted to obtain the process parameters to be analyzed.

[0044] Furthermore, the process parameters to be analyzed also include rheological stress, yield stress, and steel composition; the process calculation module is also used for:

[0045] The dislocation density at the start of precipitation is determined based on the rheological stress and the yield stress; and the number of available sites for heterogeneous nucleation is determined based on the dislocation density.

[0046] The nucleation rate of strain-induced precipitation is determined based on the number of available sites and the steel composition, and the evolution function of the precipitate nucleation and growth process is determined based on the nucleation rate.

[0047] When the nucleation and growth size of the precipitate reaches the critical radius, the maturation process is calculated based on the improved cooling maturation model to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0048] Furthermore, the device also includes a temperature comparison module for:

[0049] The initial pressing temperature in the process parameters to be analyzed is set according to the same temperature difference; and the rheological stress and yield stress corresponding to each different initial pressing temperature are determined to obtain a set of temperature-varying process parameter data for comparing the degree of influence of temperature on the amount of precipitation.

[0050] The thermodynamic principle of strain-induced precipitation and the improved cooling curing model were used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the temperature change process parameter data set, so as to obtain the first titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0051] The precipitation of the first titanium carbonitride is plotted based on different initial compression temperatures to obtain a first image showing the change of the precipitation of the first titanium carbonitride with the initial compression temperature.

[0052] Furthermore, the device also includes a strain comparison module for:

[0053] The material strain is modified, and the rheological stress and yield stress corresponding to each different initial temperature under pressure in the temperature change process parameter data set are updated based on the modified material strain to obtain a strain process parameter data set for comparing the degree of influence of strain on precipitation.

[0054] The thermodynamic principle of strain-induced precipitation and the improved cooling ripening model are used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the strain process parameter data set, so as to obtain the second titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0055] The precipitation of the second titanium carbonitride is plotted based on different initial compression temperatures to obtain a second image showing the change of the second titanium carbonitride precipitation with the initial compression temperature.

[0056] Furthermore, the device also includes a display module for:

[0057] Output the titanium carbonitride precipitation status and display the titanium carbonitride precipitation status on a display; and / or,

[0058] Output the first image and display the first image using the display; and / or,

[0059] The first image and the second image are merged based on the same initial compression temperature to obtain a comparison image; and the comparison image is displayed on the display.

[0060] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the above-described method for analyzing the amount of titanium carbonitride precipitation.

[0061] According to another aspect of the present invention, a device is provided, including a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0062] The memory is used to store at least one executable instruction that causes the processor to perform operations corresponding to the above-described method for analyzing the amount of titanium carbonitride precipitation.

[0063] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0064] This invention provides a method, apparatus, storage medium, and device for analyzing the amount of titanium carbonitride precipitation. Compared with existing technologies, this invention employs a micro-element method to improve the curing process in strain-induced precipitation by cooling, making the method more applicable to the actual industrial production process of strain-induced precipitation in titanium microalloyed steel. It fully considers the influence of cooling on strain-induced precipitation, improving the accuracy of predicting the amount of titanium carbonitride precipitation. This invention combines an improved cooling curing model with the thermodynamic principles of strain-induced precipitation to simulate and predict the titanium carbonitride precipitation corresponding to the process parameters to be analyzed. It eliminates the need for extensive sample preparation and electron microscopy to obtain experimental data related to Ti(C,N) precipitation under different process conditions and titanium contents. This not only significantly reduces resource waste and costs in terms of manpower and time but also overcomes the problem of incomplete data coverage in empirical models, thereby further improving the accuracy and reliability of predicting titanium carbonitride precipitation.

[0065] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0066] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0067] Figure 1 A schematic flowchart of an analytical method for the amount of titanium carbonitride precipitation provided in an embodiment of the present invention is shown.

[0068] Figure 2 A schematic flowchart of another method for analyzing the amount of titanium carbonitride precipitation provided in an embodiment of the present invention is shown;

[0069] Figure 3 This diagram illustrates a process parameter input session format provided by an embodiment of the present invention.

[0070] Figure 4 A schematic flowchart of another method for analyzing the amount of titanium carbonitride precipitation provided in an embodiment of the present invention is shown;

[0071] Figure 5 A schematic flowchart of another method for analyzing the amount of titanium carbonitride precipitation provided in an embodiment of the present invention is shown;

[0072] Figure 6 A schematic diagram of a first image provided in an embodiment of the present invention is shown;

[0073] Figure 7 A schematic diagram showing comparative images provided in an embodiment of the present invention is illustrated;

[0074] Figure 8 This diagram illustrates the structure of an analytical device for analyzing the amount of titanium carbonitride precipitation provided in an embodiment of the present invention.

[0075] Figure 9 A schematic diagram of the structure of a device provided in an embodiment of the present invention is shown. Detailed Implementation

[0076] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0077] This invention provides a method for analyzing the amount of titanium carbonitride precipitation, such as... Figure 1 As shown, the method includes:

[0078] 101. Obtain the process parameters to be analyzed in the continuous casting reduction process;

[0079] In this embodiment of the invention, since processes involving material deformation such as continuous casting reduction and rolling in steel smelting are often cooling processes, the analysis method of this embodiment is applied to the industrial production process of microalloyed steel. The current execution terminal acquires the process parameters to be analyzed during the continuous casting reduction process of titanium microalloyed steel. These parameters include initial reduction temperature, cooling time, cooling rate, rheological stress, yield stress, and steel composition, etc., which are not specifically limited in this embodiment.

[0080] 102. The maturation process in strain-induced precipitation was improved by cooling and maturation using the infinitesimal element method, resulting in an improved cooling maturation model.

[0081] In this embodiment of the invention, the classical nucleation and growth theory includes three processes: nucleation, growth, and ripening. However, since the classical nucleation and growth theory only considers the precipitation of Ti(C,N) nuclei under strain during isothermal processes, it is not applicable to the industrial production process of titanium microalloyed steel. The current implementation improves upon the classical nucleation and growth theory by employing a micro-element method to perform a cooling ripening process in strain-induced precipitation, resulting in an improved cooling ripening model.

[0082] 103. Based on the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model, the precipitation process of titanium carbonitride under the process parameters to be analyzed is calculated to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0083] In this embodiment of the invention, the current execution terminal calculates the precipitation process of titanium carbonitride under the process parameters to be analyzed based on the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model obtained in step 102. This yields a titanium carbonitride precipitation profile corresponding to the process parameters to be analyzed, applicable to the actual industrial production process of titanium microalloyed steel. The titanium carbonitride precipitation profile includes the size and volume fraction of the precipitated Ti(C,N) crystals, etc., which are not specifically limited in this embodiment of the invention.

[0084] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, and to make the method of the present invention more applicable to the actual industrial production process of titanium microalloyed steel and improve the prediction accuracy of titanium carbonitride precipitation, another analytical method for titanium carbonitride precipitation is provided, such as... Figure 2 As shown, the steps employ the infinitesimal element method to improve the ripening process in strain-induced precipitation by cooling, resulting in an improved cooling ripening model, including:

[0085] 201. Divide the cooling time into multiple time units, and determine the end temperature corresponding to each time unit based on the cooling rate and the initial pressing temperature;

[0086] In this embodiment of the invention, the current execution end divides the cooling time into multiple time units, for example, dividing the cooling time t into n time units, each time unit is represented by Δt, and the specific formula is as follows:

[0087]

[0088] Next, the current execution unit determines the ending temperature corresponding to each time unit based on the cooling rate and the initial pressing temperature, using the following formula:

[0089]

[0090] Where T0 represents the initial temperature under pressure, v represents the cooling rate, and T f This indicates the end temperature corresponding to each time unit.

[0091] 202. Based on the initial and final temperatures of the compression, the maturation model under isothermal conditions is improved to obtain the precipitated particle size corresponding to each time unit.

[0092] 203. The particle size corresponding to each time unit is averaged to obtain the improved cooling curing model.

[0093] In this embodiment of the invention, the ripening model under isothermal conditions is based on the fundamental principle of second-phase ripening in materials revealed by the Lifshitz-Slyozov-Wagner (LSW) theory from a kinetic perspective. Specifically, the second phase has a critical size at each temperature. Solute atoms in the smaller second phase below the critical size detach from the matrix and then attach to a larger second phase above the adjacent size, until the smaller second phase disappears. This theory calculates the average size evolution of precipitated particles during the isothermal process using the following equation:

[0094]

[0095]

[0096] Where r is the final radius of Ti(C,N), For the interfacial energy (typically taken as 8·10⁵ J / cm²), V m Let D be the molar volume of a Ti(C,N) molecule. eff The effective diffusion coefficient is represented by t, and the ripening time is represented by t. R represents the equilibrium concentration of Ti. gThe general gas constant is 8.31 J / mol·K, T represents the temperature under isothermal conditions, r0 is the initial radius of the second phase, [Ti] represents the Ti content in the steel composition, [N] represents the N content in the steel composition, and D... P Let r be the diffusion coefficient of titanium in the channel. core Let ρ be the radius of the dislocation nucleus, ρ represent the dislocation density, and D represent the matrix diffusion coefficient of titanium.

[0097] In this embodiment of the invention, the current execution end improves the ripening model under the above isothermal conditions based on the initial and final temperatures to obtain the precipitated particle size corresponding to each time unit; then, the precipitated particle size corresponding to each time unit is averaged to obtain the improved cooling ripening model, as shown in the following formula:

[0098]

[0099] in, This represents the average size of the precipitated particles at each time unit.

[0100] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to quickly obtain different process parameters and meet different experimental needs, another method for analyzing the amount of titanium carbonitride precipitation is provided. The steps for obtaining the process parameters to be analyzed during the cooling process include:

[0101] Upon receiving a user analysis request, a process parameter input session is initiated; and data from the process parameter input session is extracted to obtain the process parameters to be analyzed; or,

[0102] Upon receiving a user's analysis request, the process parameter data table is loaded; and the data in the process parameter data table is extracted to obtain the process parameters to be analyzed.

[0103] In this embodiment of the invention, after receiving an analysis request from a user, the current execution terminal initiates a process parameter input session. This process parameter input session represents a session window where the user can directly input data; the window format can be an input box, such as... Figure 3 As shown; it can also be a prompt-based input session, i.e., a question-and-answer format, which is not specifically limited in this embodiment of the invention. The current execution end obtains the process parameters to be analyzed by extracting the data from the process parameter input session.

[0104] In addition, after receiving a user analysis request, it can also be done by loading a process parameter data table, such as... Figure 3 As shown, if the user first edits the process parameter data table according to the experimental needs, then when the user clicks... Figure 3After clicking the "Load Data Table" button, the system responds to the user's analysis request by loading the pre-edited process parameter data table into the current execution terminal, and then extracts the process parameters to be analyzed by retrieving data from the process parameter data table.

[0105] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, and to avoid conducting numerous experiments and reduce time and resource costs, another method for analyzing the amount of titanium carbonitride precipitation is provided, such as... Figure 4 As shown, the steps are based on the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model to calculate the precipitation process of titanium carbonitride under the process parameters to be analyzed, and obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed, including:

[0106] 301. Determine the dislocation density at the start of precipitation based on the rheological stress and the yield stress; and determine the number of available sites for heterogeneous nucleation based on the dislocation density;

[0107] In this embodiment of the invention, the current execution terminal determines the dislocation density at the start of precipitation based on the rheological stress and yield stress in the process parameters to be analyzed, as shown in the following formula:

[0108]

[0109] Where ρ represents dislocation density, and σ is rheological stress; σ y ρ is the yield stress; μ is the shear modulus, taken as 4 × 10⁻⁶. 4 MPa; b is the size of the Burgers vector, equal to 2.53 × 10⁻⁶. 10 m; M is the Taylor coefficient, which is 3.1 for face-centered cubic crystals; η is a constant, taken as 0.15.

[0110] Next, the current execution unit determines the number of available sites for heterogeneous nucleation based on the above dislocation density, using the following formula:

[0111] N0≈0.5ρ 1.5

[0112] Where N0 represents the number of available sites.

[0113] 302. Determine the nucleation rate of strain-induced precipitation based on the number of available sites and the steel composition, and determine the evolution function of the precipitate nucleation and growth process based on the nucleation rate;

[0114] In this embodiment of the invention, the current execution terminal determines the nucleation rate of strain-induced precipitation based on the steel composition in the process parameters to be analyzed and the number of available sites obtained in step 301. The specific formula is as follows:

[0115]

[0116]

[0117] r pc＝-2 γ / ΔG v

[0118] Where N represents the amount of precipitate per unit volume, Z represents the Zeldovich factor, k represents the Boltzmann constant, β represents the atomic collision rate, and r pc The critical particle size for Ti(C,N) precipitation is represented by α, where α is the lattice spacing (which can be taken as 0.445 nm). It is assumed that precipitation on dislocations is instantaneous, therefore, the incubation period τ is assumed to be zero. D represents the matrix diffusion coefficient of titanium. Since the diffusion rate of Ti is much lower than that of C and N, it is considered the rate-determining element in this system; therefore, D represents the diffusion rate of Ti in austenite. γ is the interfacial energy per unit area of ​​the grain boundary (0.8 J / m² for austenite), and ΔG... v It is the driving force for the precipitation of Ti(C,N); V m It is the molecular molar volume of Ti(C,N), where C Ti It is the instantaneous concentration of Ti in the matrix in mole fraction, C C This represents the instantaneous concentration of C in mole fractions. This represents the equilibrium concentration of C in the matrix, determined by the solubility product at the annealing temperature. N This represents the instantaneous concentration of N in mole fractions. The equilibrium concentration of C in the matrix is ​​determined by the solubility product at the annealing temperature.

[0119] Next, the current execution unit determines the evolution function of the precipitate nucleation and growth process based on the nucleation rate obtained above. The specific formula is as follows:

[0120]

[0121] in, This indicates the concentration of Ti in the precipitate.

[0122] 303. Based on the evolution function, when the nucleation and growth size of the precipitate reaches the critical radius, the maturation process is calculated based on the improved cooling maturation model to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0123] In this embodiment of the invention, the current execution terminal determines, based on the evolution function obtained in step 302, when the nucleation and growth size of the precipitate reaches the critical radius, i.e., r p ≥r pcAt this time, the precipitate maturation begins. Based on the improved cooling maturation model obtained in steps 201 to 203, the maturation process is calculated to obtain the titanium carbonitride precipitation status corresponding to the process parameters to be analyzed. The titanium carbonitride precipitation status includes the size and volume fraction of the Ti(C,N) crystals, etc., which are not specifically limited in this embodiment of the invention. The specific formula for calculating the volume fraction is as follows:

[0124]

[0125] Among them, A Ti A represents the atomic mass of Ti. C A represents the atomic mass of element C. N d represents the atomic mass of element N. Fe d represents the density of the iron matrix. TiCN This represents the density of Ti(C,N).

[0126] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to compare the effect of different temperatures on the precipitation of titanium carbonitride, another method for analyzing the precipitation amount of titanium carbonitride is provided, such as... Figure 5 As shown, after obtaining the titanium carbonitride precipitation status corresponding to the process parameters to be analyzed, the method further includes:

[0127] 401. Set the initial compression temperature in the process parameters to be analyzed according to the same temperature difference; and determine the rheological stress and yield stress corresponding to each different initial compression temperature to obtain a set of temperature-varying process parameter data for comparing the degree of influence of temperature on the amount of precipitation.

[0128] In this embodiment of the invention, the current execution terminal sets the initial compression temperature in the process parameters to be analyzed according to the same temperature difference. For example, the initial compression temperature can be set to 1200 degrees, 1250 degrees, 1300 degrees, 1350 degrees, 1400 degrees, etc., without specific limitations in this embodiment. Then, the rheological stress and yield stress corresponding to each set initial compression temperature are determined according to the material properties. For example, the rheological stress corresponding to an initial compression temperature of 1200 degrees is 26 MPa and the yield stress is 14.2 MPa; the rheological stress corresponding to an initial compression temperature of 1250 degrees is 19 MPa and the yield stress is 11.4 MPa; the rheological stress corresponding to an initial compression temperature of 1350 degrees is 9.8 MPa and the yield stress is 6.6 MPa, etc., without specific limitations in this embodiment, thereby obtaining a set of temperature-changing process parameter data. The temperature-varying process parameter data set is used to compare the degree of influence of temperature on precipitation. It includes not only different initial temperatures under different pressures and corresponding rheological stresses and yield stresses, but also other fixed process parameters, such as cooling time, cooling rate, and steel composition. This embodiment of the invention does not impose specific limitations.

[0129] 402. Using the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model, the precipitation process of titanium carbonitride corresponding to each different initial temperature under pressure in the temperature change process parameter data group is calculated and processed to obtain the first titanium carbonitride precipitation situation corresponding to each different initial temperature under pressure.

[0130] In this embodiment of the invention, the current execution terminal uses the methods of steps 301 to 303 to calculate and process the precipitation process of titanium carbonitride corresponding to each different initial pressure temperature in the temperature change process parameter data group obtained in step 401, so as to obtain the first titanium carbonitride precipitation situation corresponding to each different initial pressure temperature.

[0131] 403. Based on the precipitation of the first titanium carbonitride corresponding to different initial pressure temperatures, a plotting process is performed to obtain a first image showing the change of the precipitation of the first titanium carbonitride with the initial pressure temperature.

[0132] In this embodiment of the invention, the current execution terminal performs plotting processing based on the precipitation of the first titanium carbonitride corresponding to different initial compression temperatures obtained in step 402, resulting in a first image showing the change of the precipitation of the first titanium carbonitride with the initial compression temperature. The plotting processing is used to more intuitively compare and analyze the changes in the precipitation of the first titanium carbonitride, and can employ scatter plots, line graphs, bar charts, etc., without specific limitations in this embodiment. This embodiment of the invention preferably uses a line graph for plotting processing, as illustrated in the diagram below. Figure 6 As shown.

[0133] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to compare the influence of different stress conditions on the precipitation of titanium carbonitride, another method for analyzing the precipitation amount of titanium carbonitride is provided, the method further comprising:

[0134] The material strain is modified, and the rheological stress and yield stress corresponding to each different initial temperature under pressure in the temperature change process parameter data set are updated based on the modified material strain to obtain a strain process parameter data set for comparing the degree of influence of strain on precipitation.

[0135] In this embodiment of the invention, the current execution terminal modifies the material strain, such as by... Figure 6 The strain value of 0.1 is changed to 0.2, etc., but this embodiment of the invention does not impose specific limitations. The current execution end also updates the rheological stress and yield stress corresponding to different initial compression temperatures in the temperature-change process parameter data group based on the changed material strain. For example, it updates the rheological stress and yield stress corresponding to the initial compression temperatures of 1200°C, 1250°C, 1300°C, 1350°C, and 1400°C set in step 401, respectively. Other process parameters remain unchanged, resulting in a strain process parameter data group. The strain process parameter data group is used to compare the influence of strain on the amount of precipitation. The initial compression temperature corresponds one-to-one with the initial compression temperature in the temperature-change process parameter data group set in step 401, facilitating subsequent plotting and comparative analysis.

[0136] The thermodynamic principle of strain-induced precipitation and the improved cooling ripening model are used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the strain process parameter data set, so as to obtain the second titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0137] The precipitation of the second titanium carbonitride is plotted based on different initial compression temperatures to obtain a second image showing the change of the second titanium carbonitride precipitation with the initial compression temperature.

[0138] In this embodiment of the invention, the current execution terminal uses steps 301 to 303 to calculate the precipitation process of titanium carbonitride corresponding to each different initial pressure temperature in the strain process parameter data group, obtaining a second titanium carbonitride precipitation situation corresponding to each different initial pressure temperature. Then, the current execution terminal performs plotting processing based on the obtained second titanium carbonitride precipitation situation corresponding to different initial pressure temperatures, obtaining a second image showing the change of the second titanium carbonitride precipitation situation with the initial pressure temperature. The plotting processing is used to more intuitively compare and analyze the changes in the first titanium carbonitride precipitation situation, and can use scatter plots, line graphs, bar charts, etc., which are not specifically limited in this embodiment. It should be noted that the plotting processing in this embodiment needs to use the same plotting form as the first image drawn in step 403. Since step 403 preferably uses a line graph, this embodiment also preferably uses a line graph for plotting processing.

[0139] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to facilitate users' faster and more intuitive understanding of titanium carbonitride precipitation and to facilitate users' research on process parameters, another method for analyzing the amount of titanium carbonitride precipitation is provided, the method further including:

[0140] Output the titanium carbonitride precipitation status and display the titanium carbonitride precipitation status on a display; and / or,

[0141] Output the first image and display the first image using the display; and / or,

[0142] The first image and the second image are merged based on the same initial compression temperature to obtain a comparison image; and the comparison image is displayed on the display.

[0143] In this embodiment of the invention, the current execution terminal outputs the titanium carbonitride precipitation status obtained in steps 101 to 103, and displays the titanium carbonitride precipitation status on a display; and / or,

[0144] The current execution terminal outputs the first image obtained in steps 401 to 403, and displays the first image using the display; and / or,

[0145] The current execution end merges the first and second images based on the same initial compression temperature to obtain a comparison image, such as... Figure 7 As shown, the above comparison images are displayed on a monitor. Figure 7 The precipitation of Ti(C,N) under strains of 0.1 and 0.2 was visually compared. Figure 7As can be seen from the data, under the condition of cooling, the deformation of the material has a great influence on the number density of titanium carbonitride precipitation, which can promote the dispersed precipitation of titanium in austenite at high temperature.

[0146] This invention provides an analytical method for titanium carbonitride precipitation. Compared with existing technologies, this invention employs a micro-element method to improve the curing process in strain-induced precipitation by cooling, making the method more applicable to the actual industrial production process of strain-induced precipitation in titanium microalloyed steel. It fully considers the impact of cooling on strain-induced precipitation, improving the accuracy of predicting titanium carbonitride precipitation. This invention combines an improved cooling curing model with the thermodynamic principles of strain-induced precipitation to simulate and predict titanium carbonitride precipitation corresponding to the process parameters to be analyzed. It eliminates the need for extensive sample preparation and electron microscopy to obtain experimental data related to Ti(C,N) precipitation under different process conditions and titanium contents. This significantly reduces resource waste and costs in terms of manpower and time, and overcomes the problem of incomplete data coverage in empirical models, thereby further improving the accuracy and reliability of predicting titanium carbonitride precipitation.

[0147] As a response to the above Figure 1 The implementation of the method shown in this invention provides an analytical device for the amount of titanium carbonitride precipitation, such as... Figure 8 As shown, the device includes:

[0148] The parameter acquisition module 51 is used to acquire the process parameters to be analyzed in the continuous casting reduction process;

[0149] Improved module 52 is used to improve the ripening process in strain-induced precipitation by using the infinitesimal method to achieve cooling ripening, thereby obtaining an improved cooling ripening model.

[0150] The process calculation module 53 is used to calculate the precipitation process of titanium carbonitride under the process parameters to be analyzed based on the thermodynamic principle of strain-induced precipitation and the improved cooling and ripening model, so as to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0151] Furthermore, the process parameters to be analyzed include the initial pressing temperature, cooling time, and cooling rate; the improvement module 52 includes:

[0152] A division unit is used to divide the cooling time into multiple time units, and to determine the end temperature corresponding to each time unit based on the cooling rate and the initial pressing temperature;

[0153] The micro-element improvement unit is used to improve the aging model under isothermal conditions based on the initial compression temperature and the final temperature to obtain the precipitated particle size corresponding to each of the time units.

[0154] The overall improvement unit is used to average the particle size corresponding to each time unit to obtain the improved cooling and ripening model.

[0155] Furthermore, the parameter acquisition module 51 is also used for:

[0156] Upon receiving a user analysis request, a process parameter input session is initiated; and data from the process parameter input session is extracted to obtain the process parameters to be analyzed; or,

[0157] Upon receiving a user's analysis request, the process parameter data table is loaded; and the data in the process parameter data table is extracted to obtain the process parameters to be analyzed.

[0158] Furthermore, the process parameters to be analyzed also include rheological stress, yield stress, and steel composition; the process calculation module 53 is also used for:

[0159] The dislocation density at the start of precipitation is determined based on the rheological stress and the yield stress; and the number of available sites for heterogeneous nucleation is determined based on the dislocation density.

[0160] The nucleation rate of strain-induced precipitation is determined based on the number of available sites and the steel composition, and the evolution function of the precipitate nucleation and growth process is determined based on the nucleation rate.

[0161] When the nucleation and growth size of the precipitate reaches the critical radius, the maturation process is calculated based on the improved cooling maturation model to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0162] Furthermore, the device also includes a temperature comparison module for:

[0163] The initial pressing temperature in the process parameters to be analyzed is set according to the same temperature difference; and the rheological stress and yield stress corresponding to each different initial pressing temperature are determined to obtain a set of temperature-varying process parameter data for comparing the degree of influence of temperature on the amount of precipitation.

[0164] The thermodynamic principle of strain-induced precipitation and the improved cooling curing model were used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the temperature change process parameter data set, so as to obtain the first titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0165] The precipitation of the first titanium carbonitride is plotted based on different initial compression temperatures to obtain a first image showing the change of the precipitation of the first titanium carbonitride with the initial compression temperature.

[0166] Furthermore, the device also includes a strain comparison module for:

[0167] The material strain is modified, and the rheological stress and yield stress corresponding to each different initial temperature under pressure in the temperature change process parameter data set are updated based on the modified material strain to obtain a strain process parameter data set for comparing the degree of influence of strain on precipitation.

[0168] The thermodynamic principle of strain-induced precipitation and the improved cooling ripening model are used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the strain process parameter data set, so as to obtain the second titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures.

[0169] The precipitation of the second titanium carbonitride is plotted based on different initial compression temperatures to obtain a second image showing the change of the second titanium carbonitride precipitation with the initial compression temperature.

[0170] Furthermore, the device also includes a display module for:

[0171] Output the titanium carbonitride precipitation status and display the titanium carbonitride precipitation status on a display; and / or,

[0172] Output the first image and display the first image using the display; and / or,

[0173] The first image and the second image are merged based on the same initial compression temperature to obtain a comparison image; and the comparison image is displayed on the display.

[0174] This invention provides an analytical device for titanium carbonitride precipitation. Compared with existing technologies, this invention employs a micro-element method to improve the curing process in strain-induced precipitation by cooling, making the method more applicable to the actual industrial production process of strain-induced precipitation in titanium microalloyed steel. It fully considers the impact of cooling on strain-induced precipitation, improving the accuracy of titanium carbonitride precipitation prediction. This invention combines an improved cooling curing model with the thermodynamic principles of strain-induced precipitation to simulate and predict titanium carbonitride precipitation corresponding to the process parameters to be analyzed. It eliminates the need for extensive sample preparation and electron microscopy to obtain experimental data related to Ti(C,N) precipitation under different process conditions and titanium contents. This significantly reduces resource waste and costs in terms of manpower and time, and overcomes the problem of incomplete data coverage in empirical models, thereby further improving the accuracy and reliability of titanium carbonitride precipitation prediction.

[0175] According to one embodiment of the present invention, a storage medium is provided, the storage medium storing at least one executable instruction, the computer-executable instruction being capable of executing the method for analyzing the amount of titanium carbonitride precipitation in any of the above method embodiments.

[0176] Figure 9 The diagram shows a structural schematic of a device according to an embodiment of the present invention. The specific implementation of the device is not limited by the specific embodiments of the present invention.

[0177] like Figure 9 As shown, the device may include: a processor 602, a communications interface 604, a memory 606, and a communications bus 608.

[0178] The processor 602, communication interface 604, and memory 606 communicate with each other via communication bus 608.

[0179] Communication interface 604 is used to communicate with other network elements such as clients or other servers.

[0180] The processor 602 is used to execute program 610, which can specifically perform the relevant steps of the above-mentioned method for analyzing the amount of titanium carbonitride precipitation.

[0181] Specifically, program 610 may include program code that includes computer operation instructions.

[0182] Processor 602 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The device may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0183] Memory 606 is used to store program 610. Memory 606 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0184] Specifically, program 610 can be used to cause processor 602 to perform the following operations:

[0185] Obtain the process parameters to be analyzed in the continuous casting reduction process;

[0186] The maturation process in strain-induced precipitation was improved by cooling maturation using the infinitesimal element method, resulting in an improved cooling maturation model.

[0187] Based on the thermodynamic principle of strain-induced precipitation and the improved cooling and ripening model, the precipitation process of titanium carbonitride under the process parameters to be analyzed is calculated to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

[0188] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0189] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for analyzing the amount of titanium carbonitride precipitation, characterized in that, include: Obtain the process parameters to be analyzed in the continuous casting reduction process; The maturation process in strain-induced precipitation was improved by cooling maturation using the infinitesimal element method, resulting in an improved cooling maturation model. Based on the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model, the precipitation process of titanium carbonitride under the process parameters to be analyzed is calculated to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed. The process parameters to be analyzed include the initial pressing temperature, cooling time, and cooling rate. The method employing the infinitesimal element method to improve the ripening process in strain-induced precipitation by cooling and ripening, resulting in an improved cooling and ripening model, includes: dividing the cooling time into multiple time units, and determining the end temperature corresponding to each time unit based on the cooling rate and the initial compression temperature; improving the ripening model under isothermal conditions based on the initial compression temperature and the end temperature to obtain the precipitated particle size corresponding to each time unit; and averaging the precipitated particle sizes corresponding to each time unit to obtain the improved cooling and ripening model. The process parameters to be analyzed also include rheological stress, yield stress, and steel composition; The thermodynamic principle of strain-induced precipitation and the improved cooling curing model are used to calculate the precipitation process of titanium carbonitride under the process parameters to be analyzed, and to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed. This includes: determining the dislocation density at the beginning of precipitation based on the rheological stress and the yield stress; determining the number of available sites for heterogeneous nucleation based on the dislocation density; determining the nucleation rate of strain-induced precipitation based on the number of available sites and the steel composition; determining the evolution function of the nucleation and growth process of the precipitate based on the nucleation rate; and calculating the curing process based on the improved cooling curing model when the nucleation and growth size of the precipitate reaches the critical radius, based on the evolution function, to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

2. The method according to claim 1, characterized in that, The process parameters to be analyzed in the continuous casting reduction process include: Upon receiving a user analysis request, a process parameter input session is initiated; and data from the process parameter input session is extracted to obtain the process parameters to be analyzed; or, Upon receiving a user's analysis request, the process parameter data table is loaded; and the data in the process parameter data table is extracted to obtain the process parameters to be analyzed.

3. The method according to any one of claims 1 to 2, characterized in that, After obtaining the titanium carbonitride precipitation status corresponding to the process parameters to be analyzed, the method further includes: The initial pressing temperature in the process parameters to be analyzed is set according to the same temperature difference; and the rheological stress and yield stress corresponding to each different initial pressing temperature are determined to obtain a set of temperature-varying process parameter data for comparing the degree of influence of temperature on the amount of precipitation. The thermodynamic principle of strain-induced precipitation and the improved cooling curing model were used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the temperature change process parameter data set, so as to obtain the first titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures. The precipitation of the first titanium carbonitride is plotted based on different initial compression temperatures to obtain a first image showing the change of the precipitation of the first titanium carbonitride with the initial compression temperature.

4. The method according to claim 3, characterized in that, The method further includes: The material strain is modified, and the rheological stress and yield stress corresponding to each different initial temperature under pressure in the temperature change process parameter data set are updated based on the modified material strain to obtain a strain process parameter data set for comparing the degree of influence of strain on precipitation. The thermodynamic principle of strain-induced precipitation and the improved cooling ripening model are used to calculate the precipitation process of titanium carbonitride corresponding to each different initial temperature under different pressures in the strain process parameter data set, so as to obtain the second titanium carbonitride precipitation situation corresponding to each different initial temperature under different pressures. The precipitation of the second titanium carbonitride is plotted based on different initial compression temperatures to obtain a second image showing the change of the second titanium carbonitride precipitation with the initial compression temperature.

5. The method according to claim 4, characterized in that, The method further includes: Output the titanium carbonitride precipitation status and display the titanium carbonitride precipitation status on a display; and / or, Output the first image and display the first image using the display; and / or, The first image and the second image are merged based on the same initial compression temperature to obtain a comparison image; and the comparison image is displayed on the display.

6. An analytical device for the amount of titanium carbonitride precipitation, characterized in that, The apparatus for performing the operation corresponding to the analytical method for the amount of titanium carbonitride precipitation as described in any one of claims 1-5, the apparatus comprising: The parameter acquisition module is used to acquire the process parameters to be analyzed in the continuous casting reduction process; An improved module is used to improve the cooling and ripening process in strain-induced precipitation by employing the micro-element method, resulting in an improved cooling and ripening model. The process calculation module is used to calculate the precipitation process of titanium carbonitride under the process parameters to be analyzed based on the thermodynamic principle of strain-induced precipitation and the improved cooling ripening model, so as to obtain the titanium carbonitride precipitation situation corresponding to the process parameters to be analyzed.

7. A storage medium storing at least one executable instruction that performs an operation corresponding to the method for analyzing the amount of titanium carbonitride precipitation as described in any one of claims 1-5.

8. A device comprising a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction that causes the processor to perform an operation corresponding to the method for analyzing the amount of titanium carbonitride precipitation as described in any one of claims 1-5.

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