Method and device for simulating the continuous casting process of an extra-large billet in a crystallizer

Abstract

The application provides a simulation method and device for a continuous casting process of a super large continuous casting billet in a crystallizer, and the method comprises the following steps: creating a three-dimensional assembly model of molten steel in the continuous casting billet crystallizer, the three-dimensional assembly model comprising the crystallizer composed of copper plates, water joints and water holes in the crystallizer copper plates, molten steel in the crystallizer and protective slag; dividing the crystallizer copper plates, water holes or water joints in the three-dimensional assembly model along a height direction into a plurality of layers, or dividing the molten steel in the three-dimensional assembly model, water holes or water joints in the crystallizer along the height direction into a plurality of layers; obtaining an interface heat exchange coefficient of each layer interface under different pulling speeds to complete the establishment of a moving boundary condition; and simulating the continuous casting process of the continuous casting billet in the crystallizer based on the moving boundary condition. The application adopts the moving boundary condition, can simultaneously fit the temperature field of the molten steel in the crystallizer and the temperature field of the crystallizer copper plates, carries out the heat-force coupling of the continuous casting billet, and is closer to the actual continuous casting process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of steelmaking near-net-shape continuous casting, and particularly relates to a simulation method and device for the continuous casting process of an ultra-large continuous casting billet in a crystallizer. BACKGROUND

[0002] The solidification process of a continuous casting billet in a crystallizer has a direct influence on the quality of the continuous casting billet, such as internal cracks, surface cracks, shrinkage holes, segregation and other defects, which are directly related to the temperature distribution of the continuous casting billet in the crystallizer. Meanwhile, the temperature distribution of the continuous casting billet affects the billet shell thickness when the continuous casting billet is discharged from the crystallizer, thereby relating to whether a breakout accident occurs. The crystallizer is a core equipment in the continuous casting process, and the copper plate hot face temperature distribution determines the design of the crystallizer inner cavity shape and size, and the arrangement and size design of the water holes or water gaps in the copper plate. Therefore, in the development of new products or actual production process, it is crucial to predict the continuous casting billet temperature field in the crystallizer and the copper plate temperature field in the crystallizer inner cavity.

[0003] The cross-sectional size of the continuous casting billet of an ultra-large shaped billet is large, and the shape is complex. The temperature distributions of the web, the wide flange surface, the narrow flange surface, the R angle and the inclined surface are inconsistent. In particular, the flange part is cooled quickly and has a low temperature. The solidification shrinkage is hindered due to the limitation of the crystallizer copper plate at the web. If the crystallizer inner cavity size and the crystallizer water hole or water gap design are improper, uniform heat transfer cannot be achieved, and cracks are extremely prone to occur. Therefore, it is particularly important to predict the shaped billet temperature field and stress field in the crystallizer, and the crystallizer hot face temperature field under different casting speeds, different pouring temperatures, different protective slag thicknesses and different cooling conditions.

[0004] At present, most of the simulation of the continuous casting process adopts commercial software such as ANSYS, ABAQUS, Marc, Procast and the like. A two-dimensional heat transfer and thermal-mechanical coupling model is generally established to perform steady-state heat conduction finite element analysis. This two-dimensional model only calculates the heat transfer of a certain cross-sectional continuous casting billet and crystallizer copper plate, and cannot comprehensively simulate the solidification process of molten steel in the entire crystallizer, and cannot comprehensively give the temperature field of the crystallizer copper plate hot face, thereby failing to provide accurate basis for the design of the crystallizer copper plate inner cavity shape and size, and the water hole or water gap. SUMMARY

[0005] Therefore, the present application provides a simulation method and device for the continuous casting process of an ultra-large continuous casting billet in a crystallizer, so as to solve at least one of the above-mentioned problems.

[0006] In order to achieve the above-mentioned purpose, the present application adopts the following scheme:

[0007] According to a first aspect of the present application, a simulation method for a continuous casting process of a super large continuous casting billet in a crystallizer is provided, the method comprising: creating a three-dimensional assembly model of molten steel in a continuous casting billet crystallizer, the three-dimensional assembly model comprising a crystallizer combined by copper plates, water joints and water holes in the crystallizer copper plates, molten steel and protective slag in the crystallizer; dividing the crystallizer copper plates, water holes or water joints in the three-dimensional assembly model in the crystallizer along a height direction into a plurality of layers, or dividing the molten steel in the three-dimensional assembly model in the crystallizer, water holes or water joints in the crystallizer along a height direction into a plurality of layers; obtaining an interface heat exchange coefficient of each layer interface under different pulling speeds to complete the establishment of a moving boundary condition; and simulating the continuous casting process of the continuous casting billet in the crystallizer based on the moving boundary condition.

[0008] Preferably, the above method of the embodiment of the present application further comprises: setting a plurality of detection points at different positions in the crystallizer copper plate close to the inner cavity of the crystallizer, and storing temperature-time curves, pressure-time curves and velocity-time curves at the detection points in a database.

[0009] Preferably, the above method of the embodiment of the present application further comprises: dividing the model of the continuous casting billet in the crystallizer, the water joints and the water holes in the crystallizer into finite difference calculation grids, and the number of the finite difference calculation grids is set according to the computer performance.

[0010] Preferably, the interface heat exchange coefficient in the above method of the embodiment of the present application comprises: an interface heat exchange coefficient of the interface between the continuous casting billet and the copper plate, and an interface heat exchange coefficient of the interface between the cooling medium and the copper plate.

[0011] Preferably, the obtaining of the interface heat exchange coefficient of each layer interface under different pulling speeds to complete the establishment of the moving boundary condition in the above method of the embodiment of the present application comprises: establishing a database of the interface heat exchange coefficient of each layer interface changing with time under different pulling speeds; and selecting the interface heat exchange coefficients of the interface between the continuous casting billet and the copper plate and the interface between the cooling medium and the copper plate at different layers and different time periods from the database of the interface heat exchange coefficient to complete the establishment of the moving boundary condition.

[0012] Preferably, the establishing of the database of the interface heat exchange coefficient of each layer interface changing with time under different pulling speeds in the above method of the embodiment of the present application comprises: calculating the cooling time of the cooling medium in the different layers of the crystallizer copper plate, the water holes or the water joints in the crystallizer for the molten steel in the crystallizer according to the pulling speed, the height of the molten steel in the crystallizer, the number of layers of the crystallizer copper plate, and the number of layers of the water holes or the water joints in the crystallizer; or calculating the cooling time of the molten steel in the different layers for the cooling medium in the crystallizer copper plate and the water holes or the water joints in the crystallizer according to the pulling speed, the height of the molten steel in the crystallizer, the number of layers of the molten steel in the crystallizer, and the number of layers of the water holes or the water joints in the crystallizer; determining the interface heat exchange coefficient according to the material of each layer interface; establishing a time-interface heat exchange coefficient curve based on the cooling time and the interface heat exchange coefficient; and establishing the database of the interface heat exchange coefficient with the corresponding data of the time-interface heat exchange coefficient curve.

[0013] Preferably, the method according to the present application further comprises: simulating the temperature field and stress field of the continuously cast billet under different parameters and the temperature field of the crystallizer based on the moving boundary condition; and predicting the shell thickness of the continuously cast billet, the hot crack position and tendency, the solidification shrinkage at different positions of the continuously cast billet, the maximum temperature of the copper plate and its position when the continuously cast billet leaves the crystallizer.

[0014] Preferably, the method according to the present application further comprises: selecting a solidification calculation model and a stress calculation model based on the moving boundary condition to calculate the temperature field and stress field of the continuously cast billet under different parameters and the temperature field of the crystallizer.

[0015] According to a second aspect of the present application, there is provided a simulation device for the continuous casting process of a super large continuously cast billet in a crystallizer, the device comprising: a model creating unit configured to create a three-dimensional assembly model of molten steel in the continuously cast billet crystallizer, the three-dimensional assembly model comprising the crystallizer composed of copper plates, water gaps and water holes in the copper plates of the crystallizer, and molten steel and protective slag in the crystallizer; a model layering unit configured to layer the copper plates of the crystallizer, the water holes or water gaps in the crystallizer in the three-dimensional assembly model along a height direction into a plurality of layers, or to layer the molten steel in the crystallizer, the water holes or water gaps in the crystallizer in the three-dimensional assembly model along the height direction into a plurality of layers; a boundary condition creating unit configured to obtain interface heat exchange coefficients of interfaces of each layer under different casting speeds to complete creation of the moving boundary condition; and a simulation unit configured to simulate the continuous casting process of the continuously cast billet in the crystallizer based on the moving boundary condition.

[0016] Preferably, the device according to the present application further comprises: a detection point setting unit configured to set a plurality of detection points at different positions in the copper plates of the crystallizer close to the inner cavity of the crystallizer, and to store temperature-time curves, pressure-time curves and velocity-time curves at the detection points in a database.

[0017] Preferably, the device according to the present application further comprises: a grid dividing unit configured to divide the models of the continuously cast billet in the crystallizer, the water gaps and water holes in the crystallizer into finite difference calculation grids, the number of the finite difference calculation grids being set according to the performance of a computer.

[0018] Preferably, the interface heat exchange coefficients according to the present application comprise: interface heat exchange coefficients of the interface between the continuously cast billet and the copper plates, and interface heat exchange coefficients of the interface between the cooling medium and the copper plates.

[0019] Preferably, the boundary condition creating unit of the embodiment of the present application comprises a database establishing module for establishing a database of interface heat exchange coefficients of each layer interface varying with time under different casting speeds; and a boundary condition creating module for selecting interface heat exchange coefficients of the slab-copper plate interface and the cooling medium-copper plate interface at different layers and time periods from the database of interface heat exchange coefficients to create the moving boundary condition.

[0020] Preferably, the database establishing module of the embodiment of the present application comprises a cooling time calculating sub-module for calculating cooling time of the cooling medium in the crystallizer copper plate or the water hole or water slit in the crystallizer on the molten steel in the crystallizer according to the casting speed, the height of the molten steel in the crystallizer, the number of layers of the crystallizer copper plate, and the number of layers of the water hole or water slit in the crystallizer; or calculating cooling time of the molten steel in different layers by the cooling medium in the crystallizer copper plate and the water hole or water slit in the crystallizer according to the casting speed, the height of the molten steel in the crystallizer, the number of layers of the molten steel in the crystallizer, and the number of layers of the water hole or water slit in the crystallizer; a heat exchange coefficient determining sub-module for determining the interface heat exchange coefficient according to the material of each layer interface; a time-heat exchange coefficient curve establishing sub-module for establishing a time-interface heat exchange coefficient curve based on the cooling time and the interface heat exchange coefficient; and a database establishing sub-module for establishing the interface heat exchange coefficient database with data corresponding to the time-interface heat exchange coefficient curve.

[0021] Preferably, the simulation unit of the embodiment of the present application is specifically used for simulating the temperature field and stress field of the continuous casting slab under different parameters, the temperature field of the crystallizer, predicting the slab shell thickness, hot cracking position and tendency, solidification shrinkage at different positions of the continuous casting slab, the highest temperature of the hot surface of the copper plate and the position thereof when the continuous casting slab leaves the crystallizer based on the moving boundary condition.

[0022] Preferably, the simulation unit of the embodiment of the present application simulates the temperature field and stress field of the continuous casting slab under different parameters, the temperature field of the crystallizer based on the moving boundary condition comprises selecting a solidification calculation model and a stress calculation model to calculate and simulate the temperature field and stress field of the continuous casting slab under different parameters, the temperature field of the crystallizer based on the moving boundary condition.

[0023] According to a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0024] According to a fourth aspect of the present application, a computer readable storage medium is provided, which stores a computer program, wherein the computer program is executable on a processor to implement the steps of the above method.

[0025] According to a fifth aspect of the present application, a computer program product is provided, comprising computer programs / instructions which, when executed by a processor, implement the steps of the above method.

[0026] From the above technical solution, the simulation method and device for the continuous casting process of the super large continuous casting billet in the crystallizer provided by the present application adopts the moving boundary condition, can simultaneously fit the temperature field of the molten steel in the crystallizer and the temperature field of the copper plate of the crystallizer, carries out the heat-force coupling of the casting billet, and is closer to the actual continuous casting process. A reliable method is provided for optimizing the continuous casting process parameters, solving the hot cracking and leakage of the continuous casting billet, designing the water joint or water hole of the copper plate crystallizer, designing the shape and size of the inner cavity of the copper plate, and the like. BRIEF DESCRIPTION OF DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort based on these drawings. In the drawings:

[0028] Figure 1 is a flowchart of a simulation method for a continuous casting process of a super large continuous casting billet in a crystallizer provided by an embodiment of the present application;

[0029] Figure 2 is a schematic diagram of a three-dimensional assembly model created by a three-dimensional software according to an embodiment of the present application;

[0030] Figure 3 is a model schematic diagram of a water joint and a water hole in a copper plate of a crystallizer provided by an embodiment of the present application;

[0031] Figure 4 is a model schematic diagram of molten steel and protective slag provided by an embodiment of the present application;

[0032] Figure 5 is a layered schematic diagram of molten steel provided by an embodiment of the present application;

[0033] Figure 6 is a flowchart of a simulation method for a continuous casting process of a super large continuous casting billet in a crystallizer provided by another embodiment of the present application;

[0034] Figure 7 is a setting schematic diagram of detection points in a copper plate of a crystallizer provided by an embodiment of the present application;

[0035] Figure 8 is a casting billet model schematic diagram after grid division provided by an embodiment of the present application;

[0036] Figure 9is a water gap and water hole model after grid division provided by the embodiment of the application;

[0037] Figure 10 is a crystallizer model after grid division provided by the embodiment of the application;

[0038] Figure 11 is a schematic diagram of the establishment process of an interface heat exchange coefficient database changing over time provided by the embodiment of the application;

[0039] Figure 12 is a continuous casting billet temperature field schematic diagram provided by the embodiment of the application;

[0040] Figure 13 is a crystallizer temperature field schematic diagram provided by the embodiment of the application;

[0041] Figure 14 is a continuous casting billet at the crystallizer outlet billet shell prediction calculation result schematic diagram provided by the embodiment of the application;

[0042] Figure 15 is a continuous casting billet hot crack prediction calculation result schematic diagram provided by the embodiment of the application;

[0043] Figure 16 is a structure schematic diagram of a simulation device for a super large continuous casting billet in a continuous casting process in a crystallizer provided by the embodiment of the application;

[0044] Figure 17 is a structure schematic diagram of a boundary condition creation unit provided by the embodiment of the application;

[0045] Figure 18 is a structure schematic diagram of a database establishment module provided by the embodiment of the application;

[0046] Figure 19 is a schematic diagram of an electronic device provided by the embodiment of the application. DETAILED DESCRIPTION

[0047] To make the purpose, technical scheme and advantages of the embodiment of the application more clear, the embodiment of the application is further described in detail below with reference to the drawings. Here, the schematic embodiment of the application and its description are used to explain the application, but not as a limitation to the application.

[0048] As Figure 1 shown is a process schematic diagram of a simulation method for a super large continuous casting billet in a continuous casting process in a crystallizer provided by the embodiment of the application, and the method comprises the following steps:

[0049] Step S101: create a three-dimensional assembly model of molten steel in a continuous casting billet crystallizer, and the three-dimensional assembly model comprises a crystallizer composed of copper plates, water gaps and water holes in the copper plates of the crystallizer, molten steel and protective slag in the crystallizer.

[0050] In the embodiment, a three-dimensional assembly model of molten steel in the continuous casting billet crystallizer can be created by existing three-dimensional software, such as Figure 2 The three-dimensional assembly model created by the three-dimensional software in the embodiment is shown in the figure, which is composed of Figure 2 It can be seen that the crystallizer 201 in the three-dimensional assembly model is composed of copper plates, and in Figure 2 The crystallizer 201 is composed of wide copper plates and narrow copper plates, and the formed continuous casting billet is a special-shaped billet. It should be noted that the method of the embodiment is also applicable to other super-large continuous casting billets, such as slab, bloom, round billet, etc. The crystallizer 201 is filled with molten steel 202. In addition to the crystallizer 201 and the molten steel 202, the three-dimensional assembly model also includes water joints and water holes 203 (see Figure 3 The structure is shown separately), and the protective slag 204 covering the molten steel 202 as shown in Figure 4 .

[0051] Step S102: The crystallizer copper plate, the water hole or the water joint in the crystallizer in the three-dimensional assembly model is divided into several layers along the height direction, or the molten steel in the crystallizer, the water hole or the water joint in the crystallizer in the three-dimensional assembly model is divided into several layers along the height direction.

[0052] In this step, the copper plate of the crystallizer 201 and the water hole or the water joint 203 in the crystallizer can be divided into several layers along the height direction. The layering schematic diagram can be seen from Figure 1 and Figure 3 ; at the same time, the molten steel 202 in the crystallizer 201 and the water hole or the water joint 203 in the crystallizer can also be divided into several layers along the height direction. The layering schematic diagram can be seen from Figure 5 .

[0053] Step S103: Obtain the interface heat transfer coefficient of each layer interface under different pulling speeds to complete the creation of the moving boundary condition.

[0054] The interface heat transfer coefficient refers to the heat transfer coefficient HTC (Heat transfer coefficient, W / m 2 K) between different material types and different components in contact. The interface heat transfer coefficient can be a constant or a function that changes with time and temperature.

[0055] The main difference between the continuous casting process and the sand casting and ingot casting is that after the molten steel 202 is poured into the crystallizer 201, when the liquid surface of the molten steel 202 reaches a specified height and a certain thickness of the solidified shell is formed at the outlet of the crystallizer 201, the casting blank (molten steel) is pulled out from the crystallizer 201 by the dummy bar at a certain pulling speed. In stable production, the upper tundish nozzle continuously pours molten steel into the crystallizer 201, and the lower casting blank is continuously pulled out, that is, the casting blank moves downward relative to the crystallizer 201. Different pulling speeds mean that the cooling time of the molten steel by the copper plates of each layer and the cooling medium in the water holes or water gaps of each layer in step S102 is different, or the cooling time of the molten steel of each layer in step S102 is different. Therefore, the interface heat transfer coefficient of each layer under different pulling speeds is obtained, that is, the interface heat transfer coefficient changing with time is obtained, which is used as the moving boundary condition of the continuous casting process of the molten steel.

[0056] Step S104: simulating the continuous casting process of the continuous casting blank in the crystallizer based on the moving boundary condition.

[0057] Preferably, this step can specifically include: simulating the temperature field and stress field of the continuous casting blank under different parameters, the temperature field of the crystallizer, predicting the shell thickness of the continuous casting blank when it is out of the crystallizer, the hot cracking position and tendency, the solidification shrinkage amount of the continuous casting blank at different positions, the highest temperature of the hot surface of the copper plate and the position thereof, and the like. The different parameters can refer to process parameters such as different pulling speeds, different pouring temperatures, different thicknesses of the protective slag, different shapes and sizes of the inner cavity of the crystallizer, different sizes of the water holes or water gaps, different arrangements of the water holes or water gaps, different thicknesses of the water holes or water gaps from the inner cavity of the crystallizer, and the like.

[0058] Further preferably, this step can select a solidification calculation model and a stress calculation model to calculate and simulate the temperature field and stress field of the continuous casting blank under different parameters, the temperature field of the crystallizer.

[0059] As can be seen from the above technical solution, the simulation method and device for the continuous casting process of the super-large continuous casting blank in the crystallizer provided by the application adopts the moving boundary condition, can simultaneously fit the temperature field of the molten steel in the crystallizer and the temperature field of the copper plate of the crystallizer, performs the heat-force coupling of the casting blank, and is closer to the actual continuous casting process. The application provides a reliable method for optimizing the continuous casting process parameters, solving the hot cracking and breakout of the continuous casting blank, designing the water gap or water hole of the copper plate crystallizer, designing the shape and size of the inner cavity of the copper plate, and the like.

[0060] As Figure 6 shown in FIG. 1 is a flowchart of a simulation method for the continuous casting process of a super-large continuous casting blank in a crystallizer according to another embodiment of the application. The method includes the following steps:

[0061] Step S601: Create a three-dimensional assembly model of molten steel in the continuous casting billet crystallizer, which includes the crystallizer composed of copper plates, water joints and water holes in the crystallizer copper plate, molten steel and protective slag in the crystallizer.

[0062] Step S602: Divide the crystallizer copper plate, water hole or water joint in the three-dimensional assembly model into several layers along the height direction, or divide the molten steel in the three-dimensional assembly model, water hole or water joint in the crystallizer into several layers along the height direction.

[0063] Since the casting billet is pulled out from the crystallizer, the casting billet and the crystallizer are in a relative motion process, so it is feasible to divide the molten steel or copper plate into layers in order to calculate the cooling time of different layers in three-dimensional space.

[0064] Step S603: Set multiple detection points at different positions in the crystallizer copper plate close to the inner cavity of the crystallizer, and store the temperature-time curve, pressure-time curve and velocity-time curve at the detection points in the database. The distribution diagram of these detection points is shown in, for example, Figure 7 The above data at the detection points are stored in order to facilitate subsequent comparison and check the difference between the calculation results and the test detection results, and improve the calculation accuracy.

[0065] Step S604: Divide the model of the casting billet, water joint and water hole in the crystallizer into finite difference calculation grids. The grid type in this embodiment is hexahedron, and according to the size of the component, grids of different sizes can be set, for example, since the size of the water joint and the water hole is small, the grid needs to be subdivided, Figure 8 The casting billet after the grid is divided is shown in, Figure 9 The water joint and the water hole after the grid is subdivided are shown in, Figure 10 The crystallizer divided into hexahedron grids is shown in. However, in actual application, due to the limitation of the performance of the computer memory, the total number of grids should not exceed 10 million.

[0066] Step S605: Establish a database of interface heat transfer coefficients of each layer interface changing with time under different pulling speeds.

[0067] Preferably, the interface heat transfer coefficient in this embodiment includes the interface heat transfer coefficient of the casting billet and the copper plate interface, and the interface heat transfer coefficient of the cooling medium and the copper plate interface.

[0068] There are two methods for establishing the database of the time-varying interfacial heat transfer coefficient. The first method is to set the casting blank in a static state, and let the crystallizer copper plate and the water or other cooling medium in the water hole and water joint of the crystallizer copper plate move upward along the casting blank according to the size of the casting speed. The second method is to set the crystallizer copper plate in a static state, and let the molten steel in the crystallizer copper plate move downward according to the size of the casting speed, and let the water or other cooling medium in the water hole and water joint of the crystallizer copper plate move upward along the copper plate, to form relative motion.

[0069] Further preferably, in the present embodiment, as shown in Figure 11 The establishment of the database of the time-varying interfacial heat transfer coefficient can include the following sub-steps:

[0070] Step S6051: According to the casting speed, the height of the molten steel in the crystallizer, and the number of layers of the crystallizer copper plate and the number of layers of the water hole or water joint in the crystallizer, the cooling time of the cooling medium in the different layers of the crystallizer copper plate and the water hole or water joint in the crystallizer on the molten steel in the crystallizer is calculated; or according to the casting speed, the height of the molten steel in the crystallizer, and the number of layers of the molten steel in the crystallizer and the number of layers of the water hole or water joint in the crystallizer, the cooling time of the cooling medium in the different layers of the crystallizer copper plate and the water hole or water joint in the crystallizer on the molten steel in the crystallizer is calculated.

[0071] When the molten steel does not reach a certain layer of copper plate (or a certain layer of molten steel is not cooled by the copper plate), the interfacial heat transfer coefficient can be set to a minimum value close to zero, that is, the casting blank is not cooled, when the molten steel flows through the layer of copper plate, the interfacial heat transfer coefficient is set to a corresponding value, the molten steel is cooled, and therefore the cooling time of the copper plate in the uppermost layer of the crystallizer on the molten steel is the shortest, the cooling time of the copper plate in the lowermost layer of the crystallizer on the molten steel is the longest, and the cooling time is determined according to the height of the crystallizer and the casting speed. For example, the height of the molten steel in the crystallizer is H (mm), the casting speed is v (m / min), the crystallizer copper plate is divided into L layers along the height direction, the uppermost layer is the first layer, the lower layer is the second layer, and so on, the lowermost layer is the Lth layer, the number of layers is n, n = 1 ~ L, and then the cooling time of each layer of copper plate on the molten steel, that is, the time t (s) required for the molten steel to flow through each layer of crystallizer copper plate is:

[0072] t = n x (H / 1000 / L) / v x 60 (s)

[0073] The calculation method of the cooling time of the water or other cooling medium in each layer of water hole and water joint on the casting blank is the same. The time for the molten steel to flow through each layer of copper plate is shown in Table 1.

[0074] Table 1

[0075]

[0076] Step S6052: Determine the interfacial heat transfer coefficient according to the material of each layer of interface.

[0077] The interfacial heat transfer coefficient is determined according to the materials between the contacting interfaces. For example, in a pipe with a diameter of 12 mm, when the water flow velocity is 0.5 m 3 / h, the interfacial heat transfer coefficient is 6600 W / m 2 K. According to Table 1, if the time for molten steel to pass through the first layer of copper plate is t1, then when 0 < t < t1, the interfacial heat transfer coefficient is h = 6600 W / m 2 K, and when t > t1, h = 0.01 W / m 2 K. If the time for molten steel to pass through the nth layer of copper plate is t n , then when 0 < t < t n , the interfacial heat transfer coefficient is h = 6600 W / m 2 K, and when t > t n , h = 0.01 W / m 2 K.

[0078] Step S6053: Establish a time-interfacial heat transfer coefficient curve based on the cooling time and the interfacial heat transfer coefficient.

[0079] Step S6054: Establish an interfacial heat transfer coefficient database with the data corresponding to the time-interfacial heat transfer coefficient curve.

[0080] Step S606: Select the interfacial heat transfer coefficients of the interfaces between the continuous casting billet and the copper plate and between the cooling medium and the copper plate at different layers and different time periods from the interfacial heat transfer coefficient database to complete the establishment of the moving boundary conditions.

[0081] Step S607: Simulate the continuous casting process of the continuous casting billet in the mold based on the moving boundary conditions.

[0082] As can be seen from the above, according to the cooling time of molten steel by the boundary layer in this application, the interfacial heat transfer coefficients of the mutually contacting interfaces are extracted from the database, and moving boundary conditions are set for the continuous casting process of molten steel, so as to simulate the temperature field and stress field of the continuous casting billet, the temperature field of the mold under process parameters such as different drawing speeds, different pouring temperatures, different thicknesses of the mold powder, different shapes and sizes of the inner cavity of the mold, different sizes of water holes or water slots, different arrangements of water holes or water slots, different distances of water holes or water slots from the thickness of the inner cavity of the mold, and mold sizes, and predict the shell thickness of the billet when it exits the mold, the position and tendency of hot cracks, the solidification shrinkage at different positions of the billet, the highest temperature and its position on the hot surface of the copper plate, etc. By using such moving boundary conditions in this invention, the temperature field of molten steel in the mold and the temperature field of the copper plate of the mold can be simultaneously fitted, and heat-mechanical coupling of the billet can be carried out, which is closer to the actual continuous casting process. It provides a reliable method for optimizing continuous casting process parameters, solving hot cracks and breakout of continuous casting billets, designing water slots or water holes in copper plate molds, and designing the shape and size of the inner cavity of copper plates.

[0083] The method is further described below by a specific embodiment. After the three-dimensional assembly model is established by using three-dimensional software, the subsequent steps can be completed in MAGMA software. The software MAGMA is a foundry commercial software based on finite difference calculation method, which is good at simulation calculation of sand casting and metal mold casting, and is widely used in the fields of casting of automobiles, machinery, metallurgy, aerospace, etc.

[0084] In the embodiment, the three-dimensional assembly model is converted into an STL format file, and each component such as a copper plate, a molten steel, a water hole or a water gap is sequentially imported into a pre-processing module of the simulation calculation software MAGMA, and the components are defined as different material types, such as the crystallizer copper plate is defined as PERM, the casting blank is defined as CAST, the protective slag is defined as INSU, the water gap and the water hole are defined as COOL, etc.

[0085] Then, the detection points are set in the crystallizer copper plate close to the inner cavity by using the MAGMA software. The detection points can be placed at different positions for storing temperature-time curves, pressure-time curves, velocity-time curves, etc. so as to compare and check the difference between the calculation results and the test results, and improve the calculation accuracy.

[0086] Then, the casting steel calculation module is set in the MAGMA software, and the finite difference calculation grid is divided by using the casting steel calculation module. In the casting steel calculation module, the solidification calculation model and the stress calculation model are selected. The embodiment includes simultaneously simulating and calculating the temperature field of the continuous casting blank in the crystallizer and the temperature of the crystallized copper plate, and coupling the stress field of the continuous casting blank in the crystallizer.

[0087] Then, the specific materials and initial temperatures of different material types are set. In the embodiment, the steel grade GS16Mn5 is selected for the continuous casting blank, the copper-silver alloy is set for the material of the crystallizer copper plate, the heat generating agent is set for the protective slag, and the water is set for the cooling medium in the water gap and the water hole, and the corresponding initial temperatures are set.

[0088] The interface heat transfer coefficient with the moving function is set. The database of the interface heat transfer coefficient changing with time is created in Project, and the interface heat transfer coefficients of the blank and the copper plate interface, the cooling water or the cooling medium and the copper plate interface at different layers and different time periods are selected from the database in the boundary condition setting. The moving boundary condition is set for the shaped blank continuous casting (which is also applicable to other section continuous casting, including slab continuous casting, bloom continuous casting, round billet continuous casting, etc.), the complete moving boundary along the height of the crystallizer is formed, and thus the continuous casting process is accurately simulated.

[0089] In the embodiment, the crystallizer copper plate is divided into 10 layers along the height direction, the height of the molten steel in the crystallizer is 700 (mm), the withdrawal speed is 0.7 (m / min), and when the water flow rate is 0.5 m / s in the 12 mm diameter pipeline in the MAGMA software, the water flow rate is 0.5 m / s in the 12 mm diameter pipeline in the MAGMA software.3 At / h, the interfacial heat transfer coefficient is 6600W / m 2 Taking K as an example, the times for molten steel to travel from the first layer at the top to the tenth layer at the bottom of the crystallizer are as follows: t1 = 6S, t2 = 12S, t3 = 18S, t4 = 24S, t5 = 30S, t6 = 36S, t7 = 42S, t8 = 48S, t9 = 54S, t 10 =60S, when 0 <t<t n At that time, the interfacial heat transfer coefficient was h = 6600 W / m. 2 K,t>t n At that time, h = 0.01 W / m 2 K, a total of 10 layers of interface heat transfer coefficients that change over time are created. Because the shape and size of the water holes or water gaps in the wide and narrow sides of the copper plate in the crystallizer are different, the interface heat transfer coefficients between the wide and narrow sides of the copper plate and the molten steel, and between the wide and narrow sides of the copper plate and the cooling medium are different. They need to be created separately. In this way, 40 interfaces will be formed on the 4 sides, and the interface heat transfer coefficients need to be created separately, so as to establish a database of interface heat transfer coefficients that change over time under different drawing speeds.

[0090] In the boundary condition setting interface, the interfacial heat transfer coefficients of the contacting interfaces are extracted from the database to set the moving boundary for the continuous casting process of molten steel. The moving boundary includes the interface between molten steel and each layer of crystallizer copper plate, and the interface between each layer of crystallizer copper plate and the cooling medium in each layer of water holes or water gaps inside. The interfacial heat transfer coefficients of each layer are extracted from the database according to the cooling time of the molten steel, thus completing the setting of the moving boundary conditions.

[0091] Select the solver to simulate the temperature and stress fields of the continuously cast billet under various process parameters and mold dimensions, including different casting speeds, pouring temperatures, protective slag thicknesses, mold cavity shapes and sizes, water hole or slot sizes, water hole or slot arrangements, and the thickness of the water hole or slot from the mold cavity. Predict the billet shell thickness upon exiting the mold, the location and tendency of hot cracks, the solidification shrinkage at different locations on the billet, and the highest temperature and location of the copper plate's hot surface. Figure 12 The image shows the temperature field of the continuously cast billet. Figure 13 The image shows the temperature field of the crystallizer. Figure 14 The figure shows the predicted calculation results of the billet shell at the outlet of the crystallizer in continuous casting. Figure 15 The results shown are the prediction calculation results for hot cracking of continuously cast billets.

[0092] As can be seen from the above, this application can simultaneously fit the temperature field of molten steel in the crystallizer and the temperature field of the copper plate in the crystallizer to perform thermo-mechanical coupling of the billet, which is closer to the actual continuous casting process.

[0093] like Figure 16A simulation device for the process of super large continuous casting billet in a crystallizer is provided in the embodiment of the present application. The device comprises a model creating unit 161, a model layering unit 162, a boundary condition creating unit 163 and a simulation unit 164, which are sequentially connected.

[0094] The model creating unit 161 is used to create a three-dimensional assembly model of molten steel in the crystallizer of the continuous casting billet, which comprises the crystallizer composed of copper plates, water joints and water holes in the copper plates of the crystallizer, molten steel in the crystallizer and protective slag.

[0095] The model layering unit 162 is used to divide the copper plates of the crystallizer, water holes or water joints in the crystallizer in the three-dimensional assembly model into several layers along the height direction, or divide the molten steel in the crystallizer, water holes or water joints in the three-dimensional assembly model into several layers along the height direction.

[0096] The boundary condition creating unit 163 is used to obtain the interface heat exchange coefficients of the interfaces of different layers under different pulling speeds to complete the creation of the moving boundary condition.

[0097] The simulation unit 164 is used to simulate the continuous casting process of the continuous casting billet in the crystallizer based on the moving boundary condition.

[0098] Preferably, the device of the embodiment of the present application further comprises a detection point setting unit, which is used to set a plurality of detection points at different positions in the copper plates of the crystallizer close to the inner cavity of the crystallizer, and store the temperature-time curve, pressure-time curve and velocity-time curve at the detection points in a database.

[0099] Preferably, the device of the embodiment of the present application further comprises a grid dividing unit, which is used to divide the model of the continuous casting billet in the crystallizer, water joints and water holes in the crystallizer into finite difference calculation grids, and the number of the finite difference calculation grids is set according to the performance of the computer.

[0100] Preferably, the interface heat exchange coefficients of the embodiment of the present application comprise the interface heat exchange coefficients of the interface between the continuous casting billet and the copper plate and the interface heat exchange coefficients of the interface between the cooling medium and the copper plate.

[0101] Preferably, as shown in Figure 17 The boundary condition creating unit 163 of the embodiment of the present application comprises:

[0102] A database establishing module 171 is used to establish a database of the interface heat exchange coefficients of the interfaces of different layers changing with time under different pulling speeds.

[0103] A boundary condition creating module 172 is used to select the interface heat exchange coefficients of the interfaces between the continuous casting billet and the copper plate and the interfaces between the cooling medium and the copper plate at different layers and different time periods from the database of the interface heat exchange coefficients to complete the creation of the moving boundary condition.

[0104] Preferably, as shown in the figure, the database establishing module 171 of the embodiment of the present application comprises: Figure 18

[0105] The cooling time calculating sub-module 181 is configured to calculate the cooling time of the cooling medium in the different layers of the crystallizer copper plate and the crystallizer water hole or water slit on the molten steel in the crystallizer according to the casting speed, the height of the molten steel in the crystallizer and the number of layers of the crystallizer copper plate and the number of layers of the water hole or water slit in the crystallizer, or calculate the cooling time of the cooling medium in the different layers of the crystallizer copper plate and the crystallizer water hole or water slit on the molten steel in the crystallizer according to the casting speed, the height of the molten steel in the crystallizer and the number of layers of the molten steel in the crystallizer and the number of layers of the water hole or water slit in the crystallizer.

[0106] The heat exchange coefficient determining sub-module 182 is configured to determine the interface heat exchange coefficient according to the material of each layer interface.

[0107] The time-heat exchange coefficient curve establishing sub-module 183 is configured to establish a time-interface heat exchange coefficient curve based on the cooling time and the interface heat exchange coefficient.

[0108] The database establishing sub-module 184 is configured to establish an interface heat exchange coefficient database with the data corresponding to the time-interface heat exchange coefficient curve.

[0109] Preferably, the simulation unit 164 is specifically configured to simulate the continuous casting billet temperature field and stress field, the crystallizer temperature field under different parameters based on the moving boundary condition, and predict the billet shell thickness, hot cracking position and tendency, solidification shrinkage amount at different positions of the continuous casting billet, the highest temperature of the copper plate hot surface and its position when the continuous casting billet is out of the crystallizer.

[0110] Preferably, the simulation unit 164 is specifically configured to simulate the continuous casting billet temperature field and stress field, the crystallizer temperature field under different parameters based on the moving boundary condition, and predict the billet shell thickness, hot cracking position and tendency, solidification shrinkage amount at different positions of the continuous casting billet, the highest temperature of the copper plate hot surface and its position when the continuous casting billet is out of the crystallizer.

[0111] As can be seen from the above technical solutions, the simulation device for the continuous casting process of the super-large continuous casting billet in the crystallizer provided by the present application adopts the moving boundary condition, can simultaneously fit the temperature field of the molten steel in the crystallizer and the temperature field of the crystallizer copper plate, and performs the billet thermal-force coupling, which is more close to the actual continuous casting process. The present application provides a reliable method for optimizing the continuous casting process parameters, solving the hot cracking and leakage of the continuous casting billet, designing the water slit or water hole of the copper plate crystallizer, designing the shape and size of the copper plate inner cavity, etc.

[0112] Figure 19 is a schematic diagram of an electronic device provided by the embodiment of the present application. Figure 19 ​The electronic device shown is a general data processing device, which includes a general computer hardware structure, at least including a processor 801 and a memory 802. The processor 801 and the memory 802 are connected through a bus 803. The memory 802 is suitable for storing one or more instructions or programs executable by the processor 801. The one or more instructions or programs are executed by the processor 801 to implement the steps in the simulation method of the super large continuous casting billet in the crystallizer continuous casting process described above.

[0113] The processor 801 described above can be a stand-alone microprocessor, or a set of one or more microprocessors. Thus, the processor 801 performs processing of data and control of other devices by executing commands stored in the memory 802, thereby implementing the method flow of the embodiments of the application as described above. The bus 803 connects the above-mentioned components together, while connecting the above-mentioned components to a display controller 804 and a display device, and an input / output (I / O) device 805. The input / output (I / O) device 805 can be a mouse, a keyboard, a modem, a network interface, a touch input device, a body sense input device, a printer, and other devices known in the art. Typically, the input / output (I / O) device 805 is connected to the system through an input / output (I / O) controller 806.

[0114] The memory 802 can store software components, such as an operating system, a communication module, an interaction module, and an application program. Each of the above-mentioned modules and application programs corresponds to a set of executable program instructions for completing one or more functions and the methods described in the embodiments of the application.

[0115] The embodiments of the application also provide a computer readable storage medium, which stores a computer program, the computer program being executed by a processor to implement the steps of the simulation method of the super large continuous casting billet in the crystallizer continuous casting process described above.

[0116] The embodiments of the application also provide a computer program product, which includes a computer program / instruction, the computer program / instruction being executed by a processor to implement the steps of the simulation method of the super large continuous casting billet in the crystallizer continuous casting process described above.

[0117] In summary, the simulation method and device of the super large continuous casting billet in the crystallizer continuous casting process provided by the application adopt a moving boundary condition, can simultaneously fit the temperature field of molten steel in the crystallizer and the temperature field of the copper plate of the crystallizer, perform billet heat-force coupling, and more closely approach the actual continuous casting process. A reliable method is provided for optimizing continuous casting process parameters, solving continuous casting billet hot cracking and breakout, copper plate crystallizer water joint or water hole design, copper plate inner cavity shape and size design, etc.

[0118] The preferred embodiments of the application are described above with reference to the accompanying drawings. Many features and advantages of the embodiments are apparent from the detailed specification, and it is therefore intended by the appended claims to cover all such features and advantages of the embodiments within their true spirit and scope. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments of the present application to the exact construction and operation

[0119] Those skilled in the art will appreciate that embodiments of the present application can be devised for a method, a system, or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer-readable program code.

[0120] The present application is described herein with reference to the flowchart illustrations and / or block diagrams of the methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing system or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 means for performing each of the functions specified in the flowchart block or blocks.

[0121] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the flowchart Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 means for performing each of the functions specified in the flowchart block or blocks.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flowchart Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 means for performing each of the functions specified in the flowchart block or blocks.

[0123] The above-described specific embodiments further illustrate the objects, technical solutions, and beneficial effects of the present application. It should be understood that the above-described specific embodiments are merely examples of the present application and are not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A simulation method for the continuous casting process of ultra-large continuously cast billets in a crystallizer, characterized in that, The method includes: A three-dimensional assembly model of molten steel in a continuous casting billet crystallizer is created. The three-dimensional assembly model includes a crystallizer composed of copper plates, water gaps and water holes in the copper plates of the crystallizer, molten steel and protective slag in the crystallizer. The copper plate of the crystallizer, the water holes or water gaps inside the crystallizer in the three-dimensional assembly model are divided into several layers along the height direction, or the molten steel inside the crystallizer, the water holes or water gaps inside the crystallizer in the three-dimensional assembly model are divided into several layers along the height direction. The interface heat transfer coefficients of each layer at different drawing speeds are obtained to establish the moving boundary conditions. The interface heat transfer coefficients include: the interface heat transfer coefficient between the billet and the copper plate, and the interface heat transfer coefficient between the cooling medium and the copper plate. The continuous casting process of the continuously cast billet in the crystallizer is simulated based on the moving boundary conditions. The process of obtaining the interfacial heat transfer coefficients of each layer at different pulling speeds to establish the moving boundary conditions includes: Establish a database of interfacial heat transfer coefficients of each interface layer as a function of time under different pulling speeds; The interface heat transfer coefficients of the ingot and copper plate interfaces, and the cooling medium and copper plate interfaces at different layers and time periods are selected from the interface heat transfer coefficient database to complete the creation of the moving boundary conditions.

2. The simulation method for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 1, characterized in that, The method further includes: Multiple detection points are set at different locations in the copper plate of the crystallizer near the inner cavity of the crystallizer, and the temperature-time curve, pressure-time curve and speed-time curve of the detection points are stored in the database.

3. The simulation method for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 1, characterized in that, The method further includes: The model of the billet, water gaps and water holes in the crystallizer is divided into finite difference computational grids, and the number of finite difference computational grids is set according to the computer performance.

4. The simulation method for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 1, characterized in that, The establishment of the database of interfacial heat transfer coefficients of each interface layer varying over time at different pulling speeds includes: Calculate the cooling time of the molten steel in the crystallizer by the cooling medium in the copper plates, water holes, or water gaps of different layers of the crystallizer, based on the casting speed, the height of the molten steel in the crystallizer, the number of copper plate layers, and the number of water holes or water gaps in the crystallizer; or calculate the cooling time of the molten steel in different layers by the cooling medium in the copper plates, water holes, or water gaps of the crystallizer, based on the casting speed, the height of the molten steel in the crystallizer, the number of molten steel layers, and the number of water holes or water gaps in the crystallizer. The interface heat transfer coefficient is determined based on the material of each interface layer; Based on the cooling time and the interface heat transfer coefficient, a time-interface heat transfer coefficient curve is established. An interface heat transfer coefficient database is established using the data corresponding to the time-interface heat transfer coefficient curve.

5. The simulation method for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 1, characterized in that, The simulation of the continuous casting process of the billet in the crystallizer based on the moving boundary conditions includes: simulating the temperature field and stress field of the billet and the temperature field of the crystallizer under different parameters based on the moving boundary conditions, and predicting the billet shell thickness, hot crack location and tendency, solidification shrinkage at different locations of the billet, and the highest temperature and location of the hot surface of the copper plate when the billet exits the crystallizer.

6. The simulation method for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 5, characterized in that, The simulation of the continuous casting billet temperature field and stress field, and the crystallizer temperature field under different parameters based on the moving boundary conditions includes: Based on the moving boundary conditions, solidification calculation models and stress calculation models are selected to calculate and simulate the temperature field and stress field of the continuous casting billet and the temperature field of the crystallizer under different parameters.

7. A simulation device for the continuous casting process of ultra-large continuously cast billets in a crystallizer, characterized in that, The device includes: The model creation unit is used to create a three-dimensional assembly model of molten steel in a continuous casting billet crystallizer. The three-dimensional assembly model includes a crystallizer composed of copper plates, water gaps and water holes in the copper plates of the crystallizer, molten steel and protective slag in the crystallizer. The model layering unit is used to divide the copper plate of the crystallizer, the water hole or water gap in the crystallizer in the three-dimensional assembly model into several layers along the height direction, or to divide the molten steel in the crystallizer, the water hole or water gap in the crystallizer in the three-dimensional assembly model into several layers along the height direction. The boundary condition creation unit is used to obtain the interfacial heat transfer coefficients of each layer interface under different drawing speeds to complete the creation of moving boundary conditions. The interfacial heat transfer coefficients include: the interfacial heat transfer coefficient between the billet and the copper plate, and the interfacial heat transfer coefficient between the cooling medium and the copper plate. The simulation unit is used to simulate the continuous casting process of the continuously cast billet in the crystallizer based on the moving boundary conditions. The boundary condition creation unit includes: The database creation module is used to create a database of the interfacial heat transfer coefficients of each interface layer as a function of time under different pulling speeds. The boundary condition creation module is used to select the interface heat transfer coefficients of the ingot and copper plate interface and the cooling medium and copper plate interface at different layers and time periods from the interface heat transfer coefficient database to complete the creation of moving boundary conditions.

8. The simulation device for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 7, characterized in that, The device further includes: The detection point setting unit is used to set multiple detection points at different positions in the copper plate of the crystallizer near the inner cavity of the crystallizer, and to store the temperature-time curve, pressure-time curve and speed-time curve of the detection points in the database.

9. The simulation device for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 7, characterized in that, The device further includes: The mesh generation unit is used to divide the model of the billet, water gap and water hole in the crystallizer into finite difference computational meshes. The number of finite difference computational meshes is set according to the computer performance.

10. The simulation device for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 7, characterized in that, The database creation module includes: The cooling time calculation submodule is used to calculate the cooling time of the molten steel in the crystallizer by the cooling medium in the copper plates, water holes or water gaps of different layers of crystallizer, based on the casting speed, the height of the molten steel in the crystallizer, the number of copper plate layers in the crystallizer, and the number of water holes or water gaps in the crystallizer; or to calculate the cooling time of the molten steel in different layers by the cooling medium in the copper plates and water holes or water gaps of the crystallizer, based on the casting speed, the height of the molten steel in the crystallizer, the number of molten steel layers in the crystallizer, and the number of water holes or water gaps in the crystallizer. The heat transfer coefficient determination submodule is used to determine the interface heat transfer coefficient based on the material of each interface layer. The time-heat transfer coefficient curve establishment submodule is used to establish a time-interface heat transfer coefficient curve based on the cooling time and the interface heat transfer coefficient. The database establishment submodule is used to establish an interface heat transfer coefficient database based on the data corresponding to the time-interface heat transfer coefficient curve.

11. The simulation device for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 7, characterized in that, The simulation unit is specifically used to: simulate the temperature field and stress field of the continuously cast billet and the temperature field of the crystallizer under different parameters based on the moving boundary conditions, and predict the billet shell thickness, hot crack location and tendency, solidification shrinkage at different locations of the billet, and the highest temperature and location of the hot surface of the copper plate when the continuously cast billet exits the crystallizer.

12. The simulation device for the continuous casting process of ultra-large continuously cast billets in a crystallizer as described in claim 11, characterized in that, The simulation of the continuous casting billet temperature field and stress field and the crystallizer temperature field under different parameters based on the moving boundary conditions includes: selecting a solidification calculation model and a stress calculation model based on the moving boundary conditions to calculate and simulate the continuous casting billet temperature field and stress field and the crystallizer temperature field under different parameters.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

15. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 6.

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