A production control method for high-grade non-oriented silicon steel

Abstract

The present application relates to the technical field of high-grade non-oriented silicon steel rolling, and specifically to a method for controlling the production of high-grade non-oriented silicon steel, the method comprising: obtaining all the magnetic permeability data of the high-grade non-oriented silicon steel product to be cold-rolled at each position; obtaining the cold-rolling control section, and evenly dividing it into local sections, analyzing the mutation of the magnetic permeability data at each position of the local section, and combining the distribution change of the magnetic permeability data at each position between the local sections to obtain the energy storage factor of the local section at each position; according to the difference in energy storage factors between the edge positions and the remaining positions of all local sections of the cold-rolling control section, combined with the trend characteristics of the energy storage factor at the edge position, the reduction rate adjustment factor of the cold-rolling control section is obtained; the reduction rate of the current cold-rolling control section is optimized and controlled by the reduction rate adjustment factor. The present application aims to analyze the internal stress concentration of silicon steel products and optimize the reduction rate adjustment measures.

Description

Technical Field

[0001] The present application relates to the technical field of high-grade non-oriented silicon steel rolling, and in particular to a production control method for high-grade non-oriented silicon steel. Background Art

[0002] As an important soft magnetic alloy material, high-grade non-oriented silicon steel is mainly used in the manufacture of cores and electrical components such as generators, large and medium-sized generators, new energy vehicle drive motors and transformers. With the continuous development of the steel industry, high-grade non-oriented silicon steel technology is indispensable in the fields of electricity, energy and military industry. The rolling process plays a core role in the production of high-grade non-oriented silicon steel, which is directly related to the final performance and application effect of the product. It is one of the key technologies to achieve high-performance silicon steel materials.

[0003] In the production process of high-grade non-oriented silicon steel, uneven material structure or high residual stress can easily lead to edge cracks or even broken strips in high-grade non-oriented silicon steel products during the cold rolling process. Edge cracks will greatly affect the magnetic properties of high-grade non-oriented silicon steel products, and broken strips will greatly damage the product yield. Appropriate cold rolling reduction rate optimization and adjustment measures can reduce the internal stress of the material, improve the dimensional uniformity of the product, and reduce the risk of edge cracks or broken strips. However, it is difficult to analyze the internal stress concentration of silicon steel products in the existing technology to provide scientific support for optimizing the reduction rate adjustment measures. Therefore, a cold rolling reduction rate adjustment method in the production process of high-grade non-oriented silicon steel is urgently needed. Summary of the invention

[0004] In view of the above, it is necessary to provide a high-grade non-oriented silicon steel production control method to solve the above problems.

[0005] An embodiment of the present application provides a method for controlling the production of high-grade non-oriented silicon steel, the method comprising:

[0006] S1: Acquire all magnetic permeability data of the high-grade non-oriented silicon steel product to be cold-rolled at each position along the reverse rolling direction; wherein the position at least includes the edge position;

[0007] S2: A high-grade non-oriented silicon steel product of a preset length is used as a cold rolling control section, and is evenly divided to obtain local sections, and mutation point detection is performed on all magnetic permeability data of each local section at each position; the magnetic permeability stability of each local section at each position is obtained according to the change of magnetic permeability data of each local section at each position, combined with the difference between the mutation point distribution and the overall distribution; the magnetic permeability difference of each local section at each position is obtained according to the difference between the magnetic permeability subsequences of each local section and the other local sections at each position, and the energy storage factor of each local section at each position is obtained in combination with the magnetic permeability stability;

[0008] S3: According to the difference in energy storage factors between the edge positions and the remaining positions of all local sections of the cold rolling control section, combined with the trend characteristics of the energy storage factors at the edge positions, the reduction rate adjustment factor of the cold rolling control section is obtained;

[0009] S4: Optimizing and controlling the reduction rate in the current cold rolling control section through the reduction rate adjustment factor.

[0010] Preferably, the high grade non-oriented silicon steel product in S1 has a width ranging from 1050 mm to 1200 mm and a thickness of 3 mm.

[0011] Preferably, the energy storage factor of each local section at each position is obtained as follows:

[0012] Based on the magnetic permeability stability and magnetic permeability difference of each local segment at each position, the energy storage factor of each local segment at each position is obtained; wherein the energy storage factor is negatively correlated with the magnetic permeability stability and positively correlated with the magnetic permeability difference.

[0013] Preferably, the magnetic permeability stability of each local section at each position is obtained as follows:

[0014] Obtain a first-order difference sequence of all magnetic permeability data sequences at each position in each local segment;

[0015] The average level of all mutation points at each position in each local section and the average level of all magnetic permeability data are obtained respectively, and are recorded as the first average level and the second average level respectively;

[0016] The magnetic permeability stability of each local segment at each position is obtained according to the overall difference between the first average level and the second average level combined with the absolute values ​​of all elements in the first-order difference sequence.

[0017] Preferably, the difference in magnetic permeability of each local section at each position is obtained as follows:

[0018] In each cold rolling control section, the cumulative sum of the distance metrics between each local section and the edge permeability subsequences of all other local sections is calculated to obtain the permeability difference of each local section.

[0019] Preferably, the reduction rate adjustment factor of the cold rolling control section is obtained as follows:

[0020] According to the difference of energy storage factors between the edge positions of all local sections of the cold rolling control section and the rest of the positions, the edge stress concentration of the cold rolling control section is obtained;

[0021] The sequence of energy storage factors of all local sections in the cold rolling control section at the edge position is decomposed to obtain the trend term intensity;

[0022] The normalized value of the product of the edge stress concentration and the trend term strength in the cold rolling control section is used as the reduction rate adjustment factor of the cold rolling control section.

[0023] Preferably, the specific steps of obtaining the edge stress concentration of the cold rolling control section are:

[0024] The difference in energy storage factor between the edge position of each local section of each cold rolling control section and the remaining positions is obtained, and the difference between the edge position of all local sections and all the remaining positions is merged to obtain the edge stress concentration of each cold rolling control section.

[0025] Preferably, a cold pickling five-row rolling mill is used to perform one-time forming rolling with a total pressing amount of 75% on the high-grade non-oriented silicon steel product in S1.

[0026] Preferably, the optimizing control of the reduction rate in the current cold rolling control section includes:

[0027] When the reduction adjustment factor of the cold rolling control section obtained in real time is less than the preset reduction adjustment threshold When the rolling mill is used, the reduction rate of the 1# rolling mill is set to between 25% and 30%, the reduction rate of the 5# rolling mill is set to between 20% and 25%, and the reduction rates of the remaining 2#, 3#, and 4# rolling mills are set to the third-divided values ​​of the remaining reduction rates;

[0028] When the reduction adjustment factor of the cold rolling control section obtained in real time is greater than the preset reduction adjustment threshold And less than the preset pressure reduction rate adjustment threshold When the rolling mill is used, the reduction rate of the 1# rolling mill is set to be between 22% and 25%, the reduction rate of the 5# rolling mill is set to be between 23% and 24%, and the reduction rates of the remaining 2#, 3#, and 4# rolling mills are the third-divided values ​​of the remaining reduction rates;

[0029] Otherwise, set the reduction rate of the 1# rolling mill to between 18% and 21%, the reduction rate of the 2# rolling mill to between 22% and 24%, the reduction rate of the 5# rolling mill to between 20% and 22%, and the reduction rates of the remaining 3# and 4# rolling mills to the half-value of the remaining reduction rates;

[0030] Among them, the pressure reduction rate adjustment threshold Greater than the pressure reduction rate adjustment threshold .

[0031] Preferably, the unit tension value range of the cold pickling five-row rolling mill is 14~18 , 18~20 , 20~22 , 23~23.5 , 20~21 .

[0032] This application has at least the following beneficial effects:

[0033] The present application obtains the energy storage factor at different positions of the silicon steel product by analyzing the magnetic permeability stability characteristics and magnetic permeability difference characteristics at different positions in the cold rolling control section of high-grade non-oriented silicon steel, comprehensively analyzes the unstable internal stress change and uneven stress distribution of the high-grade silicon steel product due to uneven heating, and more accurately reflects the deformation energy storage status of the high-grade non-oriented silicon steel product in different local sections; according to the edge stress concentration status and deformation energy storage change trend characteristics in the cold rolling control section of high-grade non-oriented silicon steel, the reduction rate adjustment factor is obtained, which can more accurately grasp the stress concentration status of the high-grade non-oriented silicon steel product and provide scientific data support for the cold rolling process reduction rate adjustment decision; and the cold rolling process reduction rate of the high-grade non-oriented silicon steel product is optimized and controlled by the reduction rate adjustment factor, and the corresponding initial reduction rate and cold rolling reduction rate incremental decision can be taken according to the stress concentration degree of the high-grade non-oriented silicon steel product, so as to reduce the risk of edge cracking or even strip breakage of the high-grade non-oriented silicon steel product in the cold rolling process, and improve the performance and yield rate of the high-grade non-oriented silicon steel. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A flow chart of a high-grade non-oriented silicon steel production control method provided in this application;

[0035] Figure 2 Schematic diagram of the magnetic permeability data collection method provided for this application;

[0036] Figure 3 A schematic diagram of the mutation point detection effect provided in this application;

[0037] Figure 4 A schematic diagram of the internal stress distribution of the high-grade non-oriented silicon steel provided in this application;

[0038] Figure 5 This is a flow chart for obtaining the reduction rate adjustment factor provided in this application. DETAILED DESCRIPTION

[0039] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0041] It should also be noted that the terms "first" and "second" in this application and its drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flow chart includes one or more steps for implementing the method. Without departing from the scope of protection of this application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0042] Unless defined otherwise, 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 belongs.

[0043] The present application proposes a high-grade non-oriented silicon steel production control method, which is applied to the high-grade non-oriented silicon steel rolling technology field. Figure 1 , the method comprises the following steps:

[0044] S1: Acquire all magnetic permeability data of a high-grade non-oriented silicon steel product to be cold-rolled at each position along the reverse rolling direction; wherein the positions at least include edge positions.

[0045] In this application, the SCADA (Supervisory Control And Data Acquisition) system is used as the production control system of high-grade non-oriented silicon steel. The SCADA system includes a data acquisition module, a data statistical analysis module, and a data output module. Generally, high-grade non-oriented silicon steel needs to go through the process of blast furnace heating, molten iron pretreatment, converter steelmaking, vacuum cycle degassing refining, continuous casting, electromagnetic stirring, hot rolling, and normalization pickling in sequence before cold rolling.

[0046] The magnetic permeability data of silicon steel products after normalized pickling in the process flow are obtained through the data acquisition module in the SCADA system. The specific acquisition method is as follows: the silicon steel products after normalized pickling are placed flat, and the probes of the magnetic elastic meter are placed at the midpoint, right quartile point, and right edge point on the edge perpendicular to the rolling direction. The magnetic elastic meter is started to perform magnetization treatment in the opposite direction of the rolling direction (RD) of the high-grade non-oriented silicon steel products after normalized pickling. The magnetic elastic meter probes are spaced 2 cm apart to obtain the magnetic permeability data of the high-grade non-oriented silicon steel products to be cold rolled at three positions, which respectively constitute the central axis magnetic permeability sequence, the edge magnetic permeability sequence, and the edge magnetic permeability sequence.

[0047] Among them, the schematic diagram of magnetic permeability data collection method is as follows: Figure 2 As shown. In the figure, 1, 2, and 3 respectively represent the straight lines formed by the midpoint, right quartile point, and right edge point on the edge perpendicular to the rolling direction along the probe moving direction; 4 represents the moving direction of the magnetoelasticity instrument probe.

[0048] S2: A high-grade non-oriented silicon steel product of a preset length is taken as a cold rolling control section and evenly divided to obtain local sections, and mutation point detection is performed on all magnetic permeability data of each local section at each position; the magnetic permeability stability of each local section at each position is obtained according to the change of the magnetic permeability data of each local section at each position, combined with the difference between the mutation point distribution and the overall distribution; the magnetic permeability difference of each local section at each position is obtained according to the difference between the magnetic permeability subsequences of each local section and the other local sections at each position, and the energy storage factor of each local section at each position is obtained in combination with the magnetic permeability stability.

[0049] In the high-grade non-oriented silicon steel products after the normalizing pickling process, the edges of the silicon steel products are heated more, resulting in higher internal thermal energy storage, which makes the average grain size of the edges of the silicon steel products larger than that of the central area of ​​the silicon steel products. There is no recrystallization structure at the edges of the silicon steel products, and the deformation energy storage is larger. Under normal circumstances, high stress state may hinder the rotation of magnetic domains and the displacement of domain walls, thereby affecting the magnetic permeability. Uneven internal stress will also cause large differences in magnetic permeability at different locations.

[0050] Based on the above analysis, a high-grade non-oriented silicon steel product of a preset length is taken as a cold rolling control section. In each cold rolling control section, the cold rolling control section is evenly divided along the rolling direction to obtain a preset number of local sections; the preset length in this application is 20m, and the preset number is 20, which can be adjusted by the implementer. In addition, it should be understood that when dividing the high-grade non-oriented silicon steel product, each local section corresponds to a central axis magnetic permeability subsequence, a peripheral magnetic permeability subsequence, and an edge magnetic permeability subsequence. Since the analysis method for any subsequence of each local section is the same, the edge magnetic permeability subsequence is taken as an example for subsequent analysis.

[0051] The edge permeability subsequence of each local segment is taken as input respectively, and the Pettitt mutation point detection algorithm is used to obtain all mutation points in the edge permeability subsequence of each local segment. Since the Pettitt mutation point detection algorithm is a well-known technology, the specific acquisition process will not be described in detail.

[0052] Among them, the schematic diagram of the mutation point detection effect is as follows: Figure 3As shown; wherein the horizontal axis is the data bit sequence in the edge magnetic permeability subsequence, and the vertical axis is the normalized result of the magnetic permeability data obtained by measuring the magnetoelastic instrument probe at each position in the local section.

[0053] According to the numerical changes in the edge permeability subsequence of each local segment, combined with the difference between the mutation point distribution and the overall distribution, the edge permeability stability of each local segment is obtained: the first-order difference sequence of the edge permeability subsequence of each local segment is obtained; the average level of all mutation points and the average level of all elements of the edge permeability subsequence of each local segment are obtained respectively, which are recorded as the first average level and the second average level respectively; according to the overall difference between the first average level and the second average level, combined with the absolute values ​​of all elements in the first-order difference sequence, the edge permeability stability of each local segment is obtained.

[0054] Specifically, in the calculation process of edge magnetic permeability stability, multiple variables are integrated by addition, that is, the cumulative sum of the absolute values ​​of all elements in the first-order difference sequence is calculated; the average levels of multiple variables are measured by the average value, that is, the first average level is specifically the average value of all mutation points of the edge magnetic permeability subsequence of each local segment; the second average level is specifically the average value of all elements of the edge magnetic permeability subsequence of each local segment; the overall difference between the variables is calculated by the absolute value of the difference, that is, the absolute value of the difference between the first average level and the second average level is calculated; the magnetic permeability stability is specifically: the reciprocal of the product of the absolute value of the difference and the cumulative sum; in order to avoid the situation where the denominator is zero, it is necessary to add a preset value to the denominator, and the value is 0.01.

[0055] It should be further explained that the edge permeability stability of each local segment refers to the permeability stability of each local segment at the edge position.

[0056] It should be understood that when the high-grade non-oriented silicon steel product is heated more evenly and its internal stress distribution is more stable, the mutation of the magnetic permeability in the local segment is less significant, the change of the magnetic permeability in the local segment is less obvious, and the magnetic permeability stability of the local segment is higher, that is, the absolute value of the difference between the mean of the magnetic permeability of all mutation points in the edge magnetic permeability subsequence corresponding to the local segment and the mean of the magnetic permeability of all data points in the local segment is smaller, and the difference fusion result between all adjacent elements in the edge magnetic permeability subsequence corresponding to the local segment is smaller.

[0057] Normally, if the recrystallization structure of high-grade non-oriented silicon steel is restricted due to uneven heating before the cold rolling process, the internal stress distribution of the silicon steel product will be uneven, which will in turn affect the distribution characteristics of the magnetic permeability; and since there is no recrystallization at the edge of high-grade non-oriented silicon steel, it is more likely to have stress concentration. At this time, the reduction rate of high-grade non-oriented silicon steel products in the initial cold rolling stage should be reduced to reduce edge deformation energy storage, promote internal stress homogenization of silicon steel products, and avoid edge cracks and broken strips during the cold rolling process of silicon steel products.

[0058] Among them, the schematic diagram of the internal stress distribution of high-grade non-oriented silicon steel is as follows: Figure 4 shown.

[0059] According to the difference between the edge magnetic permeability subsequences of each local segment and the remaining local segments, the edge magnetic permeability difference of each local segment is obtained: for each cold rolling control segment, the distance between each local segment and the edge magnetic permeability subsequences of all other local segments is measured, and then summed up to obtain the edge magnetic permeability difference of each local segment.

[0060] It should be noted that the distance metric between sequences is measured using DTW distance, wherein DTW distance is an existing well-known technology and is not elaborated in this application; in addition, the edge permeability difference of each local segment is the permeability difference of each local segment at the edge position.

[0061] It should be understood that when the internal stress distribution of high-grade non-oriented silicon steel products is more uneven due to uneven heating before the cold rolling process, the stress difference of the silicon steel products at different positions is greater, and the magnetic permeability difference of the local sections is greater. At this time, the reduction rate of the high-grade non-oriented silicon steel products in the initial stage of cold rolling should be reduced to reduce the deformation energy storage at the edge, that is, the cumulative result of the DTW distance between the local section and the corresponding edge magnetic permeability subsequences of all other local sections in the cold rolling control section where it is located is greater.

[0062] Normally, before the cold rolling process, the uneven internal stress distribution of high-grade non-oriented silicon steel will cause large differences in deformation energy storage at different positions of the silicon steel product. In the subsequent cold rolling process, it is more necessary to adjust the cold rolling process according to the deformation energy storage status of the silicon steel product to prevent edge cracking or strip breakage in the high-grade non-oriented silicon steel during the cold rolling process.

[0063] Based on the edge magnetic permeability stability and edge magnetic permeability difference of each local segment, the edge energy storage factor of each local segment is obtained; wherein the edge energy storage factor is negatively correlated with the edge magnetic permeability stability and positively correlated with the edge magnetic permeability difference.

[0064] Specifically, the edge energy storage factor is the ratio of the magnetic permeability difference to the magnetic permeability stability; in order to avoid the situation where the denominator is zero, a preset value needs to be added to the denominator, and the value is 0.1.

[0065] It should be understood that when the internal stress distribution at the edge of high-grade non-oriented silicon steel is more uneven, the deformation energy storage at different positions on the edge of the silicon steel product is more inconsistent, the stress change condition within different position ranges is more unstable, and the edge energy storage factor is larger, that is, the magnetic permeability stability in the local section is lower, and the magnetic permeability difference in the local section is greater.

[0066] The same method as that of the edge energy storage factor is adopted to obtain the central axis energy storage factor and the peripheral edge energy storage factor of each local segment according to the central axis permeability subsequence and the peripheral edge permeability subsequence of each local segment, that is, the energy storage factor of each local segment at the central axis position and the peripheral edge position.

[0067] S3: According to the difference in energy storage factors between the edge positions and the remaining positions of all local sections of the cold rolling control section, combined with the trend characteristics of the energy storage factors at the edge positions, the reduction rate adjustment factor of the cold rolling control section is obtained.

[0068] Normally, before the cold rolling process of high-grade non-oriented silicon steel products, recrystallization occurs in the surface area except for the edge of the silicon steel products, and the deformation energy stored is released. However, the edge of the silicon steel product has not undergone recrystallization, so the internal energy stored during the plastic deformation process is relatively large. When the internal stress concentration of high-grade non-oriented silicon steel products becomes more obvious from the center area to the edge area, the reduction rate should be optimized during the cold rolling process of the silicon steel products to reduce the difference in deformation energy storage, reduce stress concentration, and reduce the risk of edge cracking and band breakage of the silicon steel products.

[0069] According to the difference in energy storage factors between the edge positions of all local sections of each cold rolling control section and the rest of the positions, the edge stress concentration of each cold rolling control section is obtained: the difference in energy storage factors between the edge positions of all local sections of each cold rolling control section and the rest of the positions is obtained, and the differences between the edge positions of all local sections and all the rest of the positions are merged to obtain the edge stress concentration of each cold rolling control section.

[0070] Specifically, the difference between the energy storage factors is measured by the difference, and the difference is integrated by adding, that is, the edge stress concentration of each cold rolling control section is specifically: ; Wherein, D is the edge stress concentration of the cold rolling control section; is the difference between the edge energy storage factor and the central axis energy storage factor corresponding to the i-th local section in the cold rolling control section; is the difference between the edge energy storage factor and the adjacent edge energy storage factor corresponding to the i-th local segment in the cold rolling control segment; K is the number of local segments in the cold rolling control segment.

[0071] It should be understood that when the stress concentration condition at the edge of a high-grade non-oriented silicon steel product is more significant due to the lack of recrystallization, the greater the difference between the deformation energy storage conditions corresponding to the edge position of the silicon steel product and the central axis position and the adjacent edge position, the stronger the edge stress concentration. At this time, the reduction rate of the high-grade non-oriented silicon steel product should be reduced in the initial stage of cold rolling to reduce the deformation energy storage at the edge, that is, the greater the cumulative result of the difference between the edge energy storage factor corresponding to all local segments and the central axis energy storage factor, the greater the cumulative result of the difference between the edge energy storage factor corresponding to all local segments and the adjacent edge energy storage factor.

[0072] Relying solely on edge stress concentration as the basis for optimizing the cold rolling reduction rate lacks consideration of the overall stress trend changes in the cold rolling control section, which may lead to incorrect adjustment of the cold rolling reduction rate of high-grade non-oriented silicon steel products and affect the performance of silicon steel products.

[0073] Based on the edge stress concentration of each cold rolling control section and the trend of all edge energy storage factors, the reduction rate adjustment factor of each cold rolling control section is obtained:

[0074] Specifically, the edge energy storage factors of all local sections in the cold rolling control section are taken as the edge energy storage feature sequence of the cold rolling control section according to the sequence composed of the RD reverse direction positions of the high-grade non-oriented silicon steel products corresponding to the local sections. The edge energy storage feature sequence is taken as input, and the STL (Seasonal and Trend decomposition using Loess) sequence decomposition algorithm is used to obtain the trend item intensity of the edge energy storage factor corresponding to each local section. Since the STL sequence decomposition algorithm is a well-known technology, the specific acquisition process will not be described in detail.

[0075] For any cold rolling control section, the reduction adjustment factor is as follows: ;in, is the reduction rate adjustment factor of the cold rolling control section; D is the edge stress concentration of the cold rolling control section; is the information entropy of the trend term intensity of the edge energy storage factor corresponding to all local sections in the cold rolling control section; norm() is the normalization function, so that The value range is within the range.

[0076] Among them, the flow chart of obtaining the reduction rate adjustment factor is as follows: Figure 5 shown.

[0077] It should be understood that when the stress concentration at the edge of a high-grade non-oriented silicon steel product is more significant due to the lack of recrystallization, the deformation energy storage trend at the edge of the silicon steel product along the opposite direction of RD changes more significantly, the larger the reduction rate adjustment factor, the stronger the edge stress concentration in the cold rolling control section, and the greater the information entropy of the intensity of the edge energy storage factor trend item corresponding to all local sections in the cold rolling control section.

[0078] At this time, the reduction rate should be lowered in the early stage of the cold rolling process of silicon steel products, and a progressive reduction rate adjustment method should be adopted, that is, the reduction rate should be gradually increased from the beginning to the end of the cold rolling process to ensure that the internal stress of the silicon steel products is uniform, so that the deformation energy storage in the edge area of ​​the silicon steel products can be fully released.

[0079] S4: Optimizing and controlling the reduction rate in the current cold rolling control section through the reduction rate adjustment factor.

[0080] Set the compression rate adjustment threshold , , the data acquisition module in the SCADA system obtains the magnetic permeability data of the normalized high-grade non-oriented silicon steel according to step S1, and then transmits the magnetic permeability data of the silicon steel product to the data statistical analysis module in the SCADA system, and obtains the reduction rate adjustment factor of each cold rolling control section according to steps S2 and S3. The reduction rate adjustment threshold is set in this application , They are 0.4 and 0.7 respectively. The implementer can set the threshold of the reduction rate according to the actual situation. , Get the value.

[0081] The width of the high-grade non-oriented silicon steel in the present application can range from 1050mm to 1200mm, and the thickness is 3mm. The high-grade non-oriented silicon steel product is subjected to one-time forming rolling with a total downward pressure of 75% using a cold pickling five-row rolling mill.

[0082] When the reduction rate adjustment factor of the cold rolling control section obtained in real time is less than the reduction rate adjustment threshold It is considered that the internal stress distribution of the high-grade non-oriented silicon steel product in the cold rolling control section obtained in real time is uniform, and there is no need to adjust the reduction rate in the subsequent cold rolling process. The specific cold rolling parameters are:

[0083] Set the reduction rate of the 1# rolling mill to between 25 and 30%, the reduction rate of the 5# rolling mill to between 20 and 25%, and the reduction rates of the remaining 2#, 3#, and 4# rolling mills to the third-half value of the remaining reduction rates;

[0084] The emulsion nozzles on each rolling mill spray emulsion on the roll gap area on the exit side of the upper and lower working rolls respectively. The spacing between each nozzle is 52mm. The emulsion is sprayed at a pressure of 0.6Mpa. The emulsion oil temperature is controlled between 40 and 50°C. The emulsion flow rate is: external spray flow rate 1500L / min, rolling inlet emulsion flow rate 2500L / min, rolling outlet emulsion flow rate 2500L / min, and it is used for all passes.

[0085] Set the unit tension value range between 1#~5# rolling mills to 14~18 respectively , 18~20 、 20~22 、 23~23.5 、 20~21 .

[0086] When the reduction rate adjustment factor of the cold rolling control section obtained in real time is greater than the reduction rate adjustment threshold And less than the pressure reduction rate adjustment threshold When the internal stress distribution of the high-grade non-oriented silicon steel product in the cold rolling control section obtained in real time is considered to be slightly concentrated, the subsequent cold rolling process reduction rate needs to be adjusted, and the specific cold rolling parameters are:

[0087] The reduction rate of the 1# rolling mill is set between 22% and 25%, the reduction rate of the 5# rolling mill is set between 23% and 24%, and the reduction rates of the remaining 2#, 3#, and 4# rolling mills are divided into three equal parts; the purpose is to reduce the reduction rate of the initial rolling mill, reduce the deformation energy storage of the edge, promote the uniformity of the internal stress of the silicon steel product, and reduce the risk of edge cracking and strip breakage of the silicon steel product;

[0088] The emulsion injection pressure, flow rate and unit tension value of each rolling mill remain unchanged.

[0089] When the reduction rate adjustment factor of the cold rolling control section obtained in real time is greater than the reduction rate adjustment threshold It is considered that the internal stress distribution of the high-grade non-oriented silicon steel product in the cold rolling control section obtained in real time is seriously concentrated, and the subsequent cold rolling process reduction rate needs to be adjusted. The specific cold rolling parameters are:

[0090] The reduction rate of the 1# rolling mill is set between 18 and 21%, the reduction rate of the 2# rolling mill is set between 22 and 24%, the reduction rate of the 5# rolling mill is set between 20 and 22%, and the reduction rate of the remaining 3# and 4# rolling mills is the second half of the remaining reduction rate; the purpose is to reduce the reduction rate of the initial rolling mill, gradually increase the reduction rate of the rolling mill, reduce the deformation energy storage of the edge, promote the uniformity of the internal stress of the silicon steel product, and reduce the risk of edge cracking and strip breakage of the silicon steel product;

[0091] The emulsion injection pressure, flow rate and unit tension value of each rolling mill remain unchanged.

[0092] The present application provides a production control method for high-grade non-oriented silicon steel, the method comprising: obtaining energy storage factors at different positions of silicon steel products by analyzing the magnetic permeability stability characteristics and magnetic permeability difference characteristics at different positions in a cold rolling control section of high-grade non-oriented silicon steel, comprehensively analyzing the unstable internal stress change and uneven stress distribution of high-grade silicon steel products due to uneven heating, and more accurately reflecting the deformation energy storage conditions of high-grade non-oriented silicon steel products in different local sections; according to the edge stress concentration conditions and deformation energy storage conditions in the cold rolling control section of high-grade non-oriented silicon steel, the energy storage factors at different positions of silicon steel products are obtained; and the energy storage factors at different positions of silicon steel products are obtained by analyzing the magnetic permeability stability characteristics and magnetic permeability difference characteristics at different positions in a cold rolling control section of high-grade non-oriented silicon steel. The reduction rate adjustment factor is obtained by analyzing the trend characteristics of the shape energy storage change, which can more accurately grasp the stress concentration of high-grade non-oriented silicon steel products and provide scientific data support for the reduction rate adjustment decision of the cold rolling process; and the cold rolling reduction rate of high-grade non-oriented silicon steel products is optimized and controlled through the reduction rate adjustment factor. According to the stress concentration degree of high-grade non-oriented silicon steel products, the corresponding initial reduction rate and cold rolling reduction rate increase decision can be made, which reduces the risk of edge cracking or even strip breakage of high-grade non-oriented silicon steel products in the cold rolling process, and improves the performance and yield rate of high-grade non-oriented silicon steel.

[0093] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two continuous boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two continuous operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

[0094] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A high-grade non-oriented silicon steel production control method, characterized in that: The method comprises the following steps: S1: Acquire all magnetic permeability data of the high-grade non-oriented silicon steel product to be cold-rolled at each position along the reverse rolling direction; wherein the position at least includes the edge position; S2: A high-grade non-oriented silicon steel product of a preset length is used as a cold rolling control section, and is evenly divided to obtain local sections, and mutation point detection is performed on all magnetic permeability data of each local section at each position; the magnetic permeability stability of each local section at each position is obtained according to the change of magnetic permeability data of each local section at each position, combined with the difference between the mutation point distribution and the overall distribution; the magnetic permeability difference of each local section at each position is obtained according to the difference between the magnetic permeability subsequences of each local section and the other local sections at each position, and the energy storage factor of each local section at each position is obtained in combination with the magnetic permeability stability; S3: According to the difference in energy storage factors between the edge positions and the remaining positions of all local sections of the cold rolling control section, combined with the trend characteristics of the energy storage factors at the edge positions, the reduction rate adjustment factor of the cold rolling control section is obtained; S4: optimizing and controlling the reduction rate in the current cold rolling control section by using the reduction rate adjustment factor; The reduction adjustment factor of the cold rolling control section is specifically: According to the difference of energy storage factors between the edge positions of all local sections of the cold rolling control section and the rest of the positions, the edge stress concentration of the cold rolling control section is obtained; The sequence of energy storage factors of all local sections in the cold rolling control section at the edge position is decomposed to obtain the trend term intensity; The normalized value of the product of the edge stress concentration in the cold rolling control section and the information entropy of the trend term intensity is used as a reduction rate adjustment factor in the cold rolling control section; The specific steps of obtaining the edge stress concentration of the cold rolling control section are: Obtain the difference in energy storage factor between the edge position of each local section of each cold rolling control section and the rest of the positions, merge the differences between the edge position of all local sections and all the rest of the positions, and obtain the edge stress concentration of each cold rolling control section; Specifically, the difference between the energy storage factors is measured by the difference, and the difference is integrated by adding, that is, the edge stress concentration of each cold rolling control section is specifically: ; Wherein, D is the edge stress concentration of the cold rolling control section; is the difference between the edge energy storage factor and the central axis energy storage factor corresponding to the i-th local section in the cold rolling control section; is the difference between the edge energy storage factor and the adjacent edge energy storage factor corresponding to the i-th local segment in the cold rolling control segment; K is the number of local segments in the cold rolling control segment; The optimizing control of the reduction rate of the current cold rolling control section includes: When the reduction adjustment factor of the cold rolling control section obtained in real time is less than the preset reduction adjustment threshold When the rolling mill is used, the reduction rate of the 1# rolling mill is set to between 25% and 30%, the reduction rate of the 5# rolling mill is set to between 20% and 25%, and the reduction rates of the remaining 2#, 3#, and 4# rolling mills are set to the third-divided values ​​of the remaining reduction rates; When the reduction adjustment factor of the cold rolling control section obtained in real time is greater than the preset reduction adjustment threshold And less than the preset pressure reduction rate adjustment threshold When the rolling mill is used, the reduction rate of the 1# rolling mill is set to be between 22% and 25%, the reduction rate of the 5# rolling mill is set to be between 23% and 24%, and the reduction rates of the remaining 2#, 3#, and 4# rolling mills are the third-divided values ​​of the remaining reduction rates; Otherwise, set the reduction rate of the 1# rolling mill to between 18% and 21%, the reduction rate of the 2# rolling mill to between 22% and 24%, the reduction rate of the 5# rolling mill to between 20% and 22%, and the reduction rates of the remaining 3# and 4# rolling mills to the half-value of the remaining reduction rates; Among them, the pressure reduction rate adjustment threshold Greater than the pressure reduction rate adjustment threshold .

2. A high grade non-oriented silicon steel production control method as claimed in claim 1, characterized in that: The width of the high grade non-oriented silicon steel product described in S1 may range from 1050 mm to 1200 mm, and the thickness may be 3 mm.

3. The method for controlling the production of high-grade non-oriented silicon steel according to claim 1, characterized in that: The energy storage factor of each local section at each position is obtained as follows: Based on the magnetic permeability stability and magnetic permeability difference of each local segment at each position, the energy storage factor of each local segment at each position is obtained; wherein the energy storage factor is negatively correlated with the magnetic permeability stability and positively correlated with the magnetic permeability difference.

4. A high grade non-oriented silicon steel production control method as claimed in claim 1, characterized in that: The magnetic permeability stability of each local section at each position is obtained as follows: Obtain a first-order difference sequence of all magnetic permeability data sequences at each position in each local segment; The average level of all mutation points at each position in each local section and the average level of all magnetic permeability data are obtained respectively, and are recorded as the first average level and the second average level respectively; The magnetic permeability stability of each local segment at each position is obtained according to the overall difference between the first average level and the second average level combined with the absolute values ​​of all elements in the first-order difference sequence.

5. The method for controlling the production of high-grade non-oriented silicon steel according to claim 1, characterized in that: The difference in magnetic permeability of each local section at each position is obtained as follows: In each cold rolling control section, the cumulative sum of the distance metrics between each local section and the edge permeability subsequences of all other local sections is calculated to obtain the permeability difference of each local section.

6. A high grade non-oriented silicon steel production control method as claimed in claim 1, characterized in that: The high grade non-oriented silicon steel product described in S1 is subjected to one-time forming rolling with a total reduction amount of 75% using a cold pickling five-row rolling mill.

7. A high grade non-oriented silicon steel production control method as claimed in claim 6, characterized in that: The unit tension value range of the cold pickling five-row rolling mill is 14~18 , 18~20 、 20~22 、 23~23.5 、 20~21 .

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