Method and device for dynamic regulation of the spray cooling suitable for the production of high strength continuous castings

Abstract

The application relates to the technical field of steel body continuous casting, in particular to a spray cooling dynamic adjustment method and device suitable for high-strength continuous casting production, which comprises the following steps: acquiring the casting blank pulling speed, the water temperature at the outlet of a nozzle atomizer, the liquid level and temperature of a water collecting tank during spray cooling water distribution, collecting infrared images to acquire the temperatures of the casting blank at the inlet and outlet of a secondary cooling zone, and constructing the air gap temperature interference degree at the inlet of the secondary cooling zone; obtaining the heat gap degree in the secondary cooling zone based on the difference between the cooling heat release amount of the casting blank and the heat absorption amount of the water collecting tank, and obtaining the secondary cooling consistency of the secondary cooling zone at the current sampling moment by combining the difference between the temperature of each block at the outlet of the secondary cooling zone and the preset target temperature; obtaining the spray cooling adjustment degree at the current sampling moment by combining the air gap temperature interference degree and the secondary cooling consistency, and obtaining the optimal spray cooling water distribution amount by using an optimization algorithm to adjust the water distribution amount of the secondary cooling zone. The application can improve the cooling effect of secondary spray cooling.

Description

Technical Field

[0001] This application relates to the field of continuous casting technology for steel bodies, specifically to a method and apparatus for dynamic adjustment of spray cooling suitable for the production of high-strength continuous castings. Background Technology

[0002] High-strength continuous castings refer to castings produced through continuous casting processes that possess high strength characteristics, resulting in excellent mechanical properties such as high specific strength, high specific stiffness, good tensile and compressive strength. In the continuous casting process, molten liquid metal, taking molten steel as an example, passes through a ladle and tundish, and is cooled in a crystallizer to form a preliminary billet. The billet is then drawn from the strong cooling conditions of the crystallizer to an air-cooled environment, where the cooling effect is significantly reduced. At this point, a considerable proportion of liquid metal remains in the center of the billet. If the latent heat of crystallization of the liquid metal in the center of the billet exceeds the heat dissipation of the air cooler, the billet temperature will rise, leading to transverse cracks on the final billet surface and center segregation, severely affecting the performance of the continuous casting. Therefore, a secondary cooling process is often required after the initial cooling in the crystallizer.

[0003] In continuous casting, after the billet exits the primary cooling zone, further cooling is required to improve the billet's crystallization quality. This is achieved by spraying cooling water onto the billet surface in a secondary cooling zone, thus controlling the billet temperature. Traditional secondary cooling water distribution is primarily based on static distribution, meaning the spray water volume is a quadratic function of the casting speed; as the casting speed changes, the spray water volume also changes. However, in actual continuous casting, the billet's casting speed remains essentially constant or changes very little, resulting in a nearly constant spray cooling volume in the secondary cooling zone. During cooling within the crystallizer, the solidified shell of the billet, due to the combined effects of shrinkage and gravity, creates a gap between the top of the billet and the crystallizer liner. Uneven cooling of the billet cross-section causes liquid core shift. The distribution and occurrence of this gap region have a degree of randomness, thus requiring dynamic spray cooling capacity in the secondary cooling zone. Furthermore, since the spray water is recycled during the spray cooling process, changes in the spray water temperature further reduce the cooling efficiency of the billet with the same spray cooling volume. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this application is to provide a method and apparatus for dynamic adjustment of spray cooling suitable for the production of high-strength continuous castings. The specific technical solution adopted is as follows:

[0005] This application provides a method for dynamic adjustment of spray cooling suitable for the production of high-strength continuous castings, including the following steps:

[0006] The billet pulling speed, nozzle atomizer outlet water temperature, water level and temperature in the water collection tank are obtained during the spray cooling water distribution process. Infrared images are also collected to obtain the temperature of the billet at the inlet and outlet of the secondary cooling zone.

[0007] The infrared images of the inlet and outlet regions of the secondary cooling system are divided into blocks. Based on the temperature distribution of all blocks in the inlet region of the secondary cooling system at the current sampling time, the air gap temperature interference at the inlet of the secondary cooling system at the current sampling time is obtained.

[0008] Based on the difference between the heat released by the billet cooling and the heat absorbed by the water collection tank during the heating, the heat gap in the secondary cooling zone at the current sampling time is obtained. Combined with the difference between the temperature of each block at the outlet of the secondary cooling zone and the preset target temperature, the secondary cooling consistency of the secondary cooling zone at the current sampling time is obtained.

[0009] By combining the air gap temperature disturbance and the consistency of the secondary cooling system, the spray cooling regulation degree at the current sampling time is obtained. The optimal spray cooling water distribution is obtained by using the particle swarm optimization algorithm to regulate the water distribution in the secondary cooling zone.

[0010] Preferably, during the process of dividing the infrared images of the secondary cooling inlet area and the outlet area into blocks, each block of the secondary cooling inlet area corresponds one-to-one with each block of the outlet area.

[0011] Preferably, the expression for the air gap temperature disturbance at the secondary cooling inlet at the current sampling time is:

[0012] In the formula, A represents the air gap temperature disturbance at the secondary cooling inlet at the current sampling time. This represents the variance of the temperature values ​​of all blocks in the region at the secondary cooling inlet at the current moment. The average temperature of all blocks within a block is taken as the temperature value of that block. B represents the temperature range sequence, and max() and min() represent the maximum and minimum values, respectively.

[0013] Preferably, the temperature range sequence consists of the temperature ranges within all blocks of the secondary cooling inlet region.

[0014] Preferably, the expression for the heat deficit in the two cooling zones at the current sampling time is:

[0015] In the formula, C represents the heat deficit in the second cooling zone at the current sampling time. This represents the average temperature difference between all corresponding blocks in the secondary cooling outlet area and the inlet area. The formula representing the relationship of heat release from the cast billet. This represents the absolute value of the temperature difference between the nozzle atomizer outlet water temperature and the water temperature in the collection tank at the current sampling time. This indicates the change in liquid level in the sump during the time it takes for the billet to travel from the inlet to the outlet. The formula represents the heat absorbed by the water in the collection tank.

[0016] Preferably, the expression for the consistency of the two cooling zones at the current sampling time is:

[0017] In the formula, D represents the consistency of cooling in the two cooling zones at the current sampling time, and C represents the heat deficit in the two cooling zones at the current sampling time. This represents the average difference between the temperature values ​​of all blocks and the target temperature, where the target temperature during secondary cooling is obtained from the cooling curve of the cast billet. This represents the average similarity of the temperature decay vectors between all blocks in the secondary cooling inlet region and the corresponding blocks in the secondary cooling outlet region.

[0018] Preferably, the temperature decay vector is composed of the temperature value of the block in the inlet region of the second cooling zone and the temperature value of the corresponding block in the outlet region of the second cooling zone.

[0019] Preferably, the spray cooling adjustment degree at the current sampling time is the normalized result of the ratio of the air gap temperature disturbance degree to the secondary cooling consistency at the current sampling time.

[0020] Preferably, obtaining the optimal spray cooling water quantity further includes: taking the temperatures of the inlet and outlet of the secondary cooling zone, the outlet water temperature of the nozzle atomizer, the spray cooling water quantity, the billet drawing speed, and the spray cooling adjustment degree at the current sampling time as inputs to the particle swarm optimization algorithm, and outputting the optimal spray cooling water quantity through the optimization algorithm.

[0021] This application also provides a spray cooling dynamic adjustment device suitable for the production of high-strength continuous castings, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.

[0022] As can be seen from the above, the spray cooling dynamic adjustment method and apparatus provided in this application for the production of high-strength continuous castings have at least the following beneficial effects:

[0023] This application, through monitoring the operational data of the secondary cooling process in continuous casting production, obtains the air gap temperature interference degree based on the temperature distribution at the inlet of the secondary cooling zone at a given time. This measures the interference of the gap on the surface of the billet at this location under the influence of gravity and contraction inside the crystallizer. Furthermore, based on the analysis of the heat released by the billet cooling and the heat absorbed by the water in the collection tank, a heat gap degree is obtained, reflecting the estimated cooling effect at the billet outlet in the secondary cooling zone. Finally, based on the difference between the outlet temperature and the target temperature, the secondary cooling consistency is obtained, reflecting the uniformity and consistency of cooling of the billet as a whole by the secondary cooling zone. From this, the cooling adjustment degree is obtained, and the optimal cooling water distribution is obtained using an optimization algorithm. Finally, the dynamic adjustment of the cooling water distribution in the secondary cooling zone is achieved through a control device. Compared with the traditional static water distribution method, this embodiment focuses on the constraint of the cooling effect of the billet temperature, and evaluates the impact of the uneven temperature of the billet in the crystallizer on the amount of cooling water in the secondary cooling zone. Finally, the optimal amount of cooling water is obtained, which can realize the dynamic control of the water distribution, improve the cooling effect of secondary cooling, and improve the temperature uniformity and surface quality of the billet cooling. Attached Figure Description

[0024] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 The flowchart of the spray cooling dynamic adjustment method applicable to the production of high-strength continuous castings provided in this application;

[0026] Figure 2 This is a schematic diagram of the spray cooling water distribution device provided in this application;

[0027] Figure 3 This is a schematic diagram of the secondary cooling inlet / outlet area in the infrared image provided in this application. Detailed Implementation

[0028] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the spray cooling dynamic adjustment method and apparatus suitable for the production of high-strength continuous castings proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0029] Unless otherwise specified and limited, terms such as “comprising,” “including,” or any other variations thereof are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the article or device that includes said element. Furthermore, the term “and / or” as used herein includes any and all combinations of one or more of the associated listed items. All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0030] The following, in conjunction with the accompanying drawings, details the specific scheme of the spray cooling dynamic adjustment method and device applicable to the production of high-strength continuous castings provided in this application.

[0031] Please see Figure 1 The document illustrates a flowchart of a spray cooling dynamic adjustment method for producing high-strength continuous castings according to an embodiment of this application, including the following steps:

[0032] Step 100: Obtain the billet pulling speed, nozzle atomizer outlet water temperature, water level and temperature in the water collection tank during the spray cooling water distribution process, and acquire infrared images to obtain the billet temperature at the inlet and outlet of the secondary cooling zone.

[0033] This embodiment deploys a spray cooling water distribution device on the continuous casting production line, as shown in the schematic diagram below. Figure 2 As shown, the billet is drawn out of the crystallizer along the drawing direction and then undergoes secondary spray cooling. In the secondary spray cooling, a mixture of water and air in a certain proportion is sprayed onto the upper surface of the billet by a nozzle atomizer, and a water collection tank is placed below the nozzle atomizer to realize the recycling of the spray cooling water.

[0034] Figure 2 Number 1 represents the crystallizer in the continuous casting process, which enables rapid cooling of molten steel. Number 2 represents the nozzle atomizer in the secondary cooling unit, which atomizes the sprayed cooling water evenly. Number 3 represents the water collection tank, which enables the recycling of sprayed cooling water. Number 4 represents the billet. Number 5 represents the direction of billet pulling. Number 6 represents the circulating water pump, which is used for the utilization of sprayed cooling water and water replenishment. Number 7 represents the water replenishment pipe. Number 8 represents the air inlet pipe, which is used to better atomize the sprayed cooling water. Number 9 represents the sprayed cooling water pipe. Number 10 represents the regulating valve.

[0035] To achieve dynamic adjustment of the spray cooling water distribution, the operating data of the secondary cooling process is acquired through a data acquisition device, the pulling speed is obtained based on the continuous casting pulling device, a water temperature sensor is deployed in the nozzle atomizer to obtain the outlet water temperature of the nozzle atomizer, and a temperature sensor is deployed in the water collection tank to obtain the water collection tank temperature data, i.e., the water temperature of the water collection tank. At the same time, the liquid level data of the water collection tank is obtained through a liquid level sensor.

[0036] Simultaneously, an infrared thermal imager is deployed directly above the secondary cooling unit. Due to the obstruction of the nozzle atomizer, the temperature of the billet at the inlet and outlet of the secondary cooling zone can be obtained using the marked information. Since the length of the nozzle atomizer and the pulling speed are known, the time taken for the billet to pass through the secondary cooling zone at the same position can be calculated. Furthermore, the infrared thermal imager samples continuously, thus providing the temperature difference (inlet temperature - outlet temperature) for cooled locations on the billet, while only the initial temperature is available for uncooled locations.

[0037] In this embodiment, the acquisition frequency of all the above sensors is set to 10Hz to obtain operational data during the dynamic cooling water distribution process. It should be noted that data collected in the initial 1 minute is not analyzed; the following analysis is based on data collected after the data acquisition device has been running for 1 minute.

[0038] Step 200: Divide the infrared images of the inlet and outlet regions of the secondary cooling system into blocks. Based on the temperature distribution of all blocks in the inlet region of the secondary cooling system at the current sampling time, obtain the air gap temperature interference at the inlet of the secondary cooling system at the current sampling time.

[0039] The quality of the cast billet directly determines the quality of the finished steel product. Surface defects in the billet, including longitudinal and transverse cracks, as well as internal defects such as central segregation and central shrinkage cavities, are largely related to the temperature uniformity during the billet cooling process. Given that the thermal conductivity decreases during the transition from forced cooling in the crystallizer to air cooling, which easily leads to surface defects, the introduction of secondary spray cooling is therefore essential.

[0040] When the composition of a high-strength casting is determined, its cooling curve is also determined, allowing the acquisition of the target temperature for crystal precipitation during secondary cooling. It should be noted that the process of obtaining the cooling curve and target temperature is a known existing technology. Hypothetically, after secondary cooling, the temperature at various points on the casting surface tends to be uniform, and this temperature value is close to the target temperature. However, inside the crystallizer, the casting is subjected to shrinkage and gravity, which may cause random temperature differences on the casting surface. Therefore, dynamic control of the cooling water volume is required based on these temperature differences. However, in static cooling water distribution control, the water volume is only a quadratic function of the casting speed. Since the casting speed changes very little during casting, the water volume remains essentially constant, far from meeting the requirements for uniform cooling of the casting surface and the target regional temperature. Therefore, dynamic adjustment of the cooling water volume is necessary, incorporating operational data from the secondary cooling process.

[0041] Therefore, the first step is to assess the impact of the internal structure of the crystallizer on the surface cooling differences of the billet. Within the crystallizer, gaps may appear between the solidified shell of the billet and the crystallizer lining. Although these gaps are small, the thermal conductivity of the air within them differs significantly from that of the normal lining. This results in unevenness in the radial and axial thickness of the solidified shell and the size of the liquid core at the crystallizer outlet. Furthermore, the appearance of these gaps is simultaneously influenced by the contraction force of the cooled solidified shell and the weight of the billet, leading to a randomness in the distribution and occurrence of temperature on the upper surface of the billet due to the influence of these gaps.

[0042] Therefore, based on a single sampling moment, the infrared imager acquires the inlet area of ​​the secondary cooling zone. The infrared images of the inlet and outlet areas of the secondary cooling zone are divided into blocks. In this embodiment, both the inlet and outlet areas are evenly divided into 20 blocks from top to bottom. The average temperature within each block represents the temperature value of that block. The purpose is that thermal imagers often have high resolution, but here, only the temperature distribution at the inlet of the secondary cooling zone is needed, so high resolution is not required. This obtains the temperature data at each location point while reducing the computational load.

[0043] Figure 3 This is a schematic diagram of the infrared image at the current sampling time. Figure 3 In the diagram, 11 represents the area of ​​the nozzle atomizer, 12 represents the secondary cooling inlet area, and 13 represents the secondary cooling outlet area.

[0044] Therefore, based on the above analysis, and considering the temperature distribution of all blocks in the area at the entrance of the second cooling zone, the air gap temperature interference is calculated. In this embodiment, the specific calculation formula is as follows:

[0045] In the formula, A represents the air gap temperature disturbance at the secondary cooling inlet at the current sampling time. denoted as Variance, where B represents the temperature range sequence, which is composed of the temperature ranges within all blocks in the region at the secondary cooling inlet. max() and min() represent the maximum and minimum values, respectively. If the minimum value in the temperature range sequence is zero, the denominator is assigned the value 0.1.

[0046] If, at the current sampling time, the billet in the entrance area of ​​the secondary cooling zone is disturbed by the air gap in the crystallizer, the temperature on the upper surface of the billet will have a regional deviation distribution. This will result in a large deviation in the temperature value at each location, leading to a large variance. At the same time, since the air gap disturbance causes a large temperature range within the block at the disturbance location, the ratio of the maximum to the minimum value in the temperature range sequence will increase, ultimately resulting in a large air gap temperature disturbance value at the current sampling time.

[0047] Step 300: Based on the difference between the heat released by the billet cooling and the heat absorbed by the water collection tank during heating, the heat gap in the secondary cooling zone at the current sampling time is obtained. Combined with the difference between the temperature of each block at the outlet of the secondary cooling zone and the preset target temperature, the secondary cooling consistency of the secondary cooling zone at the current sampling time is obtained.

[0048] If the temperature fluctuation in the secondary cooling inlet area is significant at the current sampling time, the spray cooling water distribution needs to be increased to ensure uniform secondary cooling temperature. However, the spray cooling water distribution control needs to be adjusted based on the current cooling effect in the secondary cooling zone.

[0049] Although the location and timing of gaps within the crystallizer are uncontrollable, their appearance will affect the temperature of a small area on the surface of the cast billet. Because the sampling interval is relatively short, these gaps exhibit continuity over a short period. Therefore, if the temperature deviation in the secondary cooling inlet area is large due to the gap at the current sampling time, the cast billet in the secondary cooling zone may also be affected by the gap, resulting in uneven temperature distribution.

[0050] In the secondary cooling zone, the billet releases heat as it cools. Part of this released heat is absorbed by the vaporization of the sprayed cooling water, and the other part is converted into the temperature increase of the liquid in the water collection tank. Although there is also some heat radiated through air cooling, it is negligible compared to the former two.

[0051] If the surface temperature of the billet in the secondary cooling zone is uniform, and effective cooling can be achieved by spraying cooling water, a significant amount of heat will be absorbed through the vaporization of the sprayed cooling water. However, if the surface temperature of the billet in the secondary cooling zone is uneven due to gaps, spraying cooling water will vaporize and absorb heat in areas with higher temperatures, while in areas with lower temperatures, most of the water will be collected as droplets in the water collection tank, resulting in less heat absorption through vaporization.

[0052] Since the temperature absorbed by the vaporization of the cooling water is difficult to measure, the heat absorption during vaporization is approximated by the heat released by the billet and the heat absorbed by the increased water volume in the collection tank, indirectly reflecting the cooling status of the billet in the secondary cooling zone. Therefore, based on the difference between the heat released by the billet during cooling and the heat absorbed by the collection tank during heating, the heat deficit in the secondary cooling zone at the current sampling time is obtained. In this embodiment, the specific calculation formula is as follows:

[0053] In the formula, C represents the heat deficit in the second cooling zone at the current sampling time. This represents the average temperature difference between all corresponding blocks in the secondary cooling outlet area and the inlet area. The formula representing the relationship of heat release from the cast billet. This represents the absolute value of the temperature difference between the nozzle atomizer outlet water temperature and the water temperature in the collection tank at the current sampling time. This indicates the change in liquid level in the sump during the time it takes for the billet to travel from the inlet to the outlet. The formula represents the heat absorbed by the water in the collection tank.

[0054] for The heat released by the billet as it cools from the inlet temperature to the outlet temperature is obtained through the convective heat transfer equation, specifically by the average temperature difference between all corresponding blocks in the secondary cooling outlet region and the inlet region, the volume of the billet, and the heat transfer coefficient of the billet. Considering that the volume and heat transfer coefficient of the billet are fixed values, in this embodiment, the heat released by the billet is obtained through... It should be noted that the specific calculation process for obtaining the convective heat transfer equation and the heat released by the billet is a well-known existing technology, and will not be described in detail in this embodiment.

[0055] for According to the heat absorption formula for water, the heat absorption energy of the increased water volume in the collection tank is obtained through the specific heat capacity of water, the change in liquid level per unit time, and the temperature difference between the nozzle atomizer outlet and the collection tank. Therefore, the heat absorption of the increased water volume in the collection tank is a relationship between the change in liquid level and the temperature difference between the nozzle atomizer outlet and the collection tank. Thus, in this embodiment, the heat absorption of the increased water volume in the collection tank is obtained through… It should be noted that the calculation process for the heat absorption of the increased water volume in the water collection tank is a well-known existing technology and will not be described in detail in this embodiment.

[0056] The larger the difference between the heat released by the billet and the heat absorbed by the increased water volume in the collection tank at the current sampling time, the better the cooling effect of the spray cooling on the billet surface at that time. This indicates that the temperature distribution on the billet surface in the secondary cooling zone is more similar, resulting in a heat gap. In this case, the adjustment of the spray cooling water volume is smaller. Conversely, the smaller the difference, the more the spray cooling water in the spray cooling atomizer is absorbed by the collection tank, indicating a poorer cooling effect on the billet and reflecting a more severe uneven temperature distribution on the billet surface.

[0057] When calculating the heat deficit, simply using the average temperature difference of all blocks in the secondary cooling outlet area is an easy way to overlook some abnormal blocks. Therefore, it is necessary to correct the heat deficit based on the temperature of each block in the outlet area.

[0058] Specifically, a dual-target temperature measurement is performed on the blocks at the exit. That is, under ideal conditions, regardless of how the temperature value at the inlet changes, the cooling effect of the secondary cooling zone on all blocks should be consistent, and the closer the temperature value of all blocks in the exit area of ​​the secondary cooling zone is to the target temperature value.

[0059] Based on the above analysis, and considering the temperature difference between each block at the outlet of the secondary cooling zone and the preset target temperature, combined with the heat deficit at the current sampling time, the consistency of the secondary cooling zone is obtained. In this embodiment, the specific calculation formula is as follows:

[0060] In the formula, D represents the consistency of cooling in the two cooling zones at the current sampling time, and C represents the heat deficit in the two cooling zones at the current sampling time. This represents the average of the differences between the temperature values ​​of all blocks and the target temperature value. The mean value represents the similarity of temperature decay vectors between block pairs. The block division of the entrance region and the exit region of the second cooling zone is the same. Each block after the division of the entrance region corresponds one-to-one with each block after the division of the exit region. A block pair is two corresponding blocks. In this embodiment, the similarity between temperature decay vectors is evaluated by cosine similarity. The temperature decay vector is composed of the temperature value of the block in the entrance region of the second cooling zone and the temperature value of the corresponding block in the exit region of the second cooling zone.

[0061] If, at the current sampling moment, the secondary cooling zone can effectively cool the billet, and the higher the temperature uniformity, the greater the mean cosine similarity of the temperature decay vectors of all blocks, and the smaller the difference between the temperature values ​​of all blocks and the target temperature, the greater the value of the secondary cooling uniformity. This indicates that the cooling effect of the secondary cooling zone on the billet is better, suggesting that the current spray cooling water distribution is close to the ideal value.

[0062] Step 400: Combine the air gap temperature interference and the consistency of the secondary cooling zone to obtain the spray cooling adjustment degree at the current sampling time, and use the optimization algorithm to obtain the optimal spray cooling water distribution to adjust the water distribution of the secondary cooling zone.

[0063] Furthermore, in this embodiment, the normalized result of the ratio of the air gap temperature interference degree to the consistency of the secondary cooling at the current sampling time is used as the spray cooling adjustment degree at the current sampling time. A larger spray cooling adjustment degree indicates a greater surface temperature difference in the billet about to enter the secondary cooling zone, and that the current spray cooling amount has a poor cooling effect on the block that has just finished secondary spray cooling. Therefore, it is necessary to increase the spray cooling water distribution at the next moment to ensure that the secondary cooling zone can effectively cool the billet. In this embodiment, the normalization method used is the maximum-minimum value normalization method.

[0064] To determine the optimal value of the spray cooling water distribution, this embodiment employs a particle swarm optimization (PSO) algorithm. At the current sampling time, the inlet and outlet temperatures of the secondary cooling zone, the nozzle atomizer outlet water temperature, the current spray cooling water distribution, the billet drawing speed, and the spray cooling adjustment degree are used as inputs to the PSO algorithm. The algorithm outputs the optimal spray cooling water distribution. In this embodiment, the population size is set to 100, and the individual learning factor is... Social learning factors The inertia weights are set to 1.5 and 2.2 respectively, and the inertia weight is set to 1.2, gradually decreasing with the number of iterations. That is, when the number of iterations is 100, the inertia weight reaches 0.4 and no longer decreases with the number of iterations. The maximum number of iterations is set to 200, and the convergence threshold is set to 0.1. The fitness function is the minimum temperature in the outlet area and the minimum temperature in the target area. The particle swarm optimization algorithm is used to obtain the optimal cooling water distribution, that is, to obtain the effective cooling water distribution for the secondary cooling zone. It should be noted that the specific optimization process of the particle swarm optimization algorithm is existing technology and will not be described in detail in this embodiment.

[0065] Finally, the PLC controller, based on the optimal cooling water distribution at the current sampling moment, controls the size of the regulating valve by operating the rotation angle of the stepper motor, thereby achieving dynamic adjustment of the cooling water distribution at the next moment. It should be noted that the specific control process is existing known technology and will not be described in detail in this embodiment. In actual application scenarios, after obtaining the optimal cooling water distribution, the controller can be selected and the specific control process set independently.

[0066] Based on the same inventive concept as the above methods, this application also provides a spray cooling dynamic adjustment device suitable for the production of high-strength continuous castings, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described spray cooling dynamic adjustment methods suitable for the production of high-strength continuous castings.

[0067] It is understood that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0068] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0069] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the protection scope of this application.

Claims

1. A dynamic adjustment method for spray cooling suitable for the production of high-strength continuous castings, characterized in that, Includes the following steps: The billet pulling speed, nozzle atomizer outlet water temperature, water level and temperature in the water collection tank are obtained during the spray cooling water distribution process. Infrared images are also collected to obtain the temperature of the billet at the inlet and outlet of the secondary cooling zone. The infrared images of the inlet and outlet regions of the secondary cooling system are divided into blocks. Based on the temperature distribution of all blocks in the inlet region of the secondary cooling system at the current sampling time, the air gap temperature interference at the inlet of the secondary cooling system at the current sampling time is obtained. Based on the difference between the heat released by the billet cooling and the heat absorbed by the water collection tank during the heating, the heat gap in the secondary cooling zone at the current sampling time is obtained. Combined with the difference between the temperature of each block at the outlet of the secondary cooling zone and the preset target temperature, the secondary cooling consistency of the secondary cooling zone at the current sampling time is obtained. By combining the air gap temperature disturbance and the consistency of the secondary cooling system, the spray cooling adjustment degree at the current sampling time is obtained. The optimal spray cooling water distribution is obtained by using the particle swarm optimization algorithm to adjust the water distribution in the secondary cooling zone. The expression for the air gap temperature disturbance at the secondary cooling inlet at the current sampling time is: In the formula, A represents the air gap temperature disturbance at the secondary cooling inlet at the current sampling time. This represents the variance of the temperature values ​​of all blocks in the region at the secondary cooling inlet at the current moment. The average temperature of all blocks within a block is taken as the temperature value of that block. B represents the temperature range sequence, and max() and min() represent the maximum and minimum values, respectively. The expression for the heat deficit in the second cooling zone at the current sampling time is: In the formula, C represents the heat deficit in the second cooling zone at the current sampling time. This represents the average temperature difference between all corresponding blocks in the secondary cooling outlet area and the inlet area. The formula representing the relationship of heat release from the cast billet. This represents the absolute value of the temperature difference between the nozzle atomizer outlet water temperature and the water temperature in the collection tank at the current sampling time. This indicates the change in liquid level in the sump during the time it takes for the billet to travel from the inlet to the outlet. J 2 () represents the formula for the heat absorption of the water increase in the water collection tank; The expression for the consistency of the two cooling zones at the current sampling time is: In the formula, D represents the consistency of cooling in the two cooling zones at the current sampling time, and C represents the heat deficit in the two cooling zones at the current sampling time. This represents the average difference between the temperature values ​​of all blocks and the target temperature, where the target temperature during secondary cooling is obtained from the cooling curve of the cast billet. This represents the average similarity of the temperature decay vectors between all blocks in the secondary cooling inlet region and the corresponding blocks in the secondary cooling outlet region. The spray cooling adjustment degree at the current sampling time is the normalized result of the ratio of the air gap temperature disturbance degree to the consistency of the secondary cooling at the current sampling time. The acquisition of the optimal spray cooling water distribution further includes: taking the current sampling time at the inlet and outlet temperatures of the secondary cooling zone, the nozzle atomizer outlet water temperature, the spray cooling water distribution, the billet drawing speed, and the spray cooling adjustment degree as inputs to the optimization algorithm, and outputting the optimal spray cooling water distribution through the particle swarm optimization algorithm.

2. The spray cooling dynamic adjustment method for high-strength continuous casting production as described in claim 1, characterized in that, During the process of dividing the infrared images of the secondary cooling inlet and outlet areas into blocks, each block in the secondary cooling inlet area corresponds one-to-one with each block in the outlet area.

3. The spray cooling dynamic adjustment method for high-strength continuous casting production as described in claim 1, characterized in that, The temperature range sequence consists of the temperature ranges within all blocks in the region at the secondary cooling inlet.

4. The spray cooling dynamic adjustment method for high-strength continuous casting production as described in claim 1, characterized in that, The temperature decay vector is composed of the temperature value of the block in the inlet region of the second cooling zone and the temperature value of the corresponding block in the outlet region of the second cooling zone.

5. A dynamic adjustment device for spray cooling suitable for the production of high-strength continuous castings, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-4.

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