Method, device and electronic device for optimizing rolling schedule

Abstract

The application provides a rolling schedule optimization method and device and electronic equipment, and relates to the technical field of rolling process. The method comprises the following steps: determining n set outlet temperatures corresponding to n racks according to a target temperature of a target strip steel in production process parameters; determining a first target reduction rate of an nth rack through a first model according to the set outlet temperature of the nth rack; for the ith rack in turn, determining a second initial reduction rate of the rack according to the first target reduction rate, determining an initial outlet temperature corresponding to the ith rack through a second model according to the second initial reduction rate, and taking the second initial reduction rate as a second target reduction rate corresponding to the rack if the temperature difference between the initial outlet temperature and the set outlet temperature is less than a preset temperature difference; and determining a third target reduction rate of the remaining racks according to the first target reduction rate and (n-m) second target reduction rates.

Description

Technical Field

[0001] This invention relates to the field of rolling process technology, and in particular to a method, apparatus, and electronic equipment for optimizing rolling schedules. Background Technology

[0002] High-grade silicon steel (silicon content ≥3%) is an important soft magnetic alloy material, widely used in the manufacture of cores for motors, generators, and transformers. Its high silicon content leads to significant room-temperature brittleness, making cold working impossible. To achieve stable cold continuous rolling of high-grade silicon steel, a warm rolling process must be employed in production.

[0003] In warm rolling processes, cold rolling schedule optimization is typically based on actual process requirements, aiming to save resources, improve production efficiency, and ensure product quality. Existing optimization models mainly consider four objectives: minimizing total rolling energy consumption, minimizing equal relative margin, avoiding slippage, and maintaining good strip shape on the last stand. However, none of these models include rolling temperature as a key control variable.

[0004] Rolling temperature is one of the core control factors in warm rolling processes. Appropriately increasing the temperature helps improve the plasticity of the material and enhances the stability of the rolling process. However, if the temperature is too high, the rolling emulsion will cause oxidation when it comes into contact with the strip surface, forming black spot defects, resulting in color differences on the product surface, and in severe cases, even causing product downgrading.

[0005] Therefore, to ensure the surface quality of warm-rolled products, there is an urgent need to invent a method for optimizing warm-rolling procedures with rolling temperature as the key objective. Currently, existing technologies have not yet developed a rolling procedure optimization scheme with temperature as the core objective function, making it impossible to optimize the load distribution during the cold continuous rolling warm-rolling process. Summary of the Invention

[0006] This invention provides a method, apparatus, and electronic device for optimizing rolling processes, which solves the problem in related technologies where inaccurate load distribution on the rolling stand is caused by the failure to consider rolling temperature during rolling.

[0007] In a first aspect, the present invention provides a method for optimizing a rolling process, the method comprising: Obtain the production process parameters of the target strip steel; Based on the target temperature of the target strip in the production process parameters, n set outlet temperatures are determined one-to-one with n frames according to the order of use of the frames that produce the target strip. Based on the set outlet temperature of the nth rack, the first initial reduction rate of the nth rack is refreshed to the first target reduction rate of the nth rack through the first model; For the i-th rack sequentially, a second initial reduction rate is determined for the i-th rack based on the first target reduction rate. The initial outlet temperature corresponding to the i-th rack is determined by the second model based on the second initial reduction rate. If the temperature difference between the initial outlet temperature and the set outlet temperature is less than a preset temperature difference, the second initial reduction rate is taken as the second target reduction rate corresponding to the i-th rack, i=1,2,...,nm; Based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate of the remaining racks is determined, wherein the remaining racks are (m-1) racks out of n racks, excluding the nth rack and (nm) racks.

[0008] Optionally, the step of refreshing the first initial reduction ratio of the nth rack to the first target reduction ratio of the nth rack using the first model based on the set outlet temperature of the nth rack includes: Obtain the first initial reduction ratio, the first rolling speed, and the first rolling force corresponding to the first initial reduction ratio for the nth stand; The first target reduction rate is obtained by weighting the first initial reduction rate, the first rolling force, the first rolling speed, and the set exit temperature of the nth stand using the first model.

[0009] Optionally, the method further includes: For the i-th rack, if the temperature difference between the initial outlet temperature and the set outlet temperature is not less than the preset temperature difference, the second initial reduction rate is adjusted to the intermediate reduction rate, and the intermediate outlet temperature corresponding to the intermediate reduction rate is calculated by the second model until the temperature difference between the intermediate outlet temperature and the target outlet temperature is less than the preset temperature difference. The intermediate reduction rate is then used as the second target reduction rate corresponding to the i-th rack.

[0010] Optionally, determining the initial outlet temperature corresponding to the i-th rack using the second model based on the second initial reduction rate includes: The second model is used to perform a weighted calculation of the second initial reduction rate, the second rolling force, the second rolling speed, and the first inlet strip temperature to obtain the initial exit temperature corresponding to the second initial reduction rate. The second rolling force and the second rolling speed are both obtained based on the second initial reduction rate. The first inlet strip temperature is the target exit temperature of the (i-1)th stand, and the target exit temperature of the (i-1)th stand is the initial exit temperature of the i-th stand or the intermediate exit temperature.

[0011] Optionally, determining the second initial reduction rate of the i-th rack based on the first target reduction rate includes: Obtain the total reduction rate from the production process parameters; The remaining reduction rate is used to obtain the second initial reduction rate of the i-th rack according to the equal power allocation principle. The remaining reduction rate is the difference between the total reduction rate and the occupied reduction rate. The occupied reduction rate includes the first target reduction rate and (i-1) second target reduction rates.

[0012] Optionally, before updating the first initial reduction ratio of the nth rack to the first target reduction ratio of the nth rack using the first model based on the set outlet temperature of the nth rack, the method further includes: Obtain historical production information for strip steel with the same specifications as the target strip steel; The first model and / or the second model are constructed based on the historical production information.

[0013] Secondly, the present invention provides an apparatus for optimizing rolling processes, the apparatus comprising: The acquisition module is used to acquire the production process parameters of the target strip steel; The determination module is used to determine n set outlet temperatures corresponding to n racks according to the target temperature of the target strip in the production process parameters and the usage order of the racks producing the target strip; based on the set outlet temperature of the nth rack, the first initial reduction rate of the nth rack is refreshed to the first target reduction rate of the nth rack through the first model; sequentially for the i-th rack, the second initial reduction rate of the i-th rack is determined according to the first target reduction rate, and the initial outlet temperature corresponding to the i-th rack is determined according to the second initial reduction rate through the second model; if the temperature difference between the initial outlet temperature and the set outlet temperature is less than the preset temperature difference, the second initial reduction rate is used as the second target reduction rate corresponding to the i-th rack, i=1,2,...,nm; based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate of the remaining racks is determined, where the remaining racks are (m-1) racks out of the n racks excluding the nth rack and (nm) racks.

[0014] Thirdly, the present invention provides an electronic device, comprising: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as provided in the first aspect.

[0015] Fourthly, the present invention provides a storage medium that, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the method provided in the first aspect.

[0016] Fifthly, the present invention provides a computer program product comprising a computer program that is executed by a processor as described in the first aspect.

[0017] According to the optimization method of rolling process provided by the present invention, the production process parameters of the target strip are obtained; based on the target temperature of the target strip in the production process parameters, n set exit temperatures corresponding to n stands are determined according to the usage sequence of the stands producing the target strip; based on the set exit temperature of the nth stand, the first initial reduction rate of the nth stand is refreshed to the first target reduction rate of the nth stand through a first model; sequentially for the i-th stand, the second initial reduction rate of the i-th stand is determined based on the first target reduction rate. The initial exit temperature corresponding to the i-th stand is determined by the second model based on the second initial reduction rate. If the temperature difference between the initial exit temperature and the set exit temperature is less than the preset temperature difference, the second initial reduction rate is used as the second target reduction rate corresponding to the i-th stand, i=1,2,...,nm. Based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate for the remaining stands is determined. The remaining stands are (m-1) stands out of n stands, excluding the n-th stand and (nm) stands. The set exit temperature of each stand is determined according to the production process parameters of the target strip, and the reduction rate of each stand is adjusted based on the set exit temperature of each stand, so that the reduction rate load of each stand corresponds to the set exit temperature. This solves, to some extent, the problem of inaccurate stand load distribution during rolling caused by the failure to consider rolling temperature during rolling in related technologies. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention 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 some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 The flowchart of an optimization method for a rolling process provided by an embodiment of the present invention is shown; Figure 2 This illustrates the concept of an optimization method for a rolling process provided by an embodiment of the present invention; Figure 3 The structure of a rolling process optimization device provided in an embodiment of the present invention is shown; Figure 4 The structure of an electronic device provided by an embodiment of the present invention is shown. Detailed Implementation

[0020] As described in the background section, high-grade silicon steel (silicon content ≥3%) is an important soft magnetic alloy material, widely used in the manufacture of cores for motors, generators, and transformers. Its high silicon content leads to significant room-temperature brittleness, making cold working impossible. To achieve stable cold continuous rolling of high-grade silicon steel, a warm rolling process is required in production.

[0021] In warm rolling processes, cold rolling schedule optimization is typically based on actual process requirements, aiming to save resources, improve production efficiency, and ensure product quality. Existing optimization models mainly consider four objectives: minimizing total rolling energy consumption, minimizing equal relative margin, avoiding slippage, and maintaining good strip shape on the last stand. However, none of these models include rolling temperature as a key control variable.

[0022] For example, adhering to the principle of "energy conservation and emission reduction," the total energy consumption objective function uses minimizing rolling power, i.e., minimizing total energy consumption, as the first optimization objective. Alternatively, the relative power margin objective function considers that if each mill has the same power reserve during rolling, the motor's capacity can be fully utilized. Therefore, without considering the power margin of the last stand, the relative power margin is used as an optimization objective. A crucial factor in preventing slippage from affecting rolled product quality is slippage. Slippage during rolling can lead to scratches on the strip surface and even strip breakage. When the slippage factor of each stand is small, the rolling schedule tends to be stable, and slippage is less likely to occur. The objective function is designed considering the slippage factor of each stand. Furthermore, the objective function for good strip shape at the last stand is crucial in cold continuous rolling. Generally, when the reduction at the last stand is small, the strip shape quality at the last stand exit is good. To ensure rolled product quality, a good strip shape objective function for the last stand is established.

[0023] However, rolling temperature is one of the core control factors in warm rolling processes. Appropriately increasing the temperature helps improve material plasticity and enhances the stability of the rolling process. But when the temperature is too high, the rolling emulsion contacting the strip surface can trigger oxidation, forming black spot defects, leading to color differences on the product surface, and in severe cases, even causing product downgrading. Therefore, to ensure the surface quality of warm-rolled products, it is urgent to invent a method for optimizing the warm rolling process with rolling temperature as the key objective. Currently, existing technologies have not yet developed a rolling process optimization scheme with temperature as the core objective function, making it impossible to optimize the load distribution during the cold continuous rolling warm rolling process. According to the optimization method of rolling process provided by the present invention, the production process parameters of the target strip are obtained; based on the target temperature of the target strip in the production process parameters, n set exit temperatures corresponding to n stands are determined according to the usage sequence of the stands producing the target strip; based on the set exit temperature of the nth stand, the first initial reduction rate of the nth stand is refreshed to the first target reduction rate of the nth stand through a first model; sequentially for the i-th stand, the second initial reduction rate of the i-th stand is determined based on the first target reduction rate. The initial exit temperature corresponding to the i-th stand is determined by the second model based on the second initial reduction rate. If the temperature difference between the initial exit temperature and the set exit temperature is less than the preset temperature difference, the second initial reduction rate is used as the second target reduction rate corresponding to the i-th stand, i=1,2,...,nm. Based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate for the remaining stands is determined. The remaining stands are (m-1) stands out of n stands, excluding the n-th stand and (nm) stands. The set exit temperature of each stand is determined according to the production process parameters of the target strip, and the reduction rate of each stand is adjusted based on the set exit temperature of each stand, so that the reduction rate load of each stand corresponds to the set exit temperature. This solves, to some extent, the problem of inaccurate stand load distribution during rolling caused by the failure to consider rolling temperature during rolling in related technologies.

[0024] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0025] It should be understood that the rolling process optimization method provided in this embodiment of the invention can be executed by a target device. The target device can be the control device of the mill rack, i.e., a Programmable Logic Controller (PLC). The target device can also be an electronic device that issues instructions including the target reduction rate to the control device of the mill rack, causing the mill rack to execute the instructions. The target device can also be multiple electronic devices working together. These electronic devices can be servers, such as a standalone physical server, a server cluster consisting of multiple servers, or a cloud server capable of cloud computing.

[0026] Figure 1 A flowchart illustrating the method for optimizing the rolling schedule provided in an embodiment of the present invention. (See attached flowchart.) Figure 1 As shown, the method for optimizing the rolling process provided in this embodiment of the invention includes steps 110 to 150.

[0027] Step 110: Obtain the production process parameters of the target strip steel.

[0028] In this embodiment of the invention, the target strip can be any strip, such as high-grade silicon steel in related technologies. The production process parameters of the target strip can be determined by the material of the target strip, and different target strips can have different production process parameters. The production process parameters of the target strip can include equipment parameters for producing the target strip, such as equipment temperature, equipment operating speed, or equipment operating time. The production process parameters can also include ideal parameters of the target strip, such as the ideal temperature of the target strip, i.e., the target temperature, or the ideal thickness of the target strip. The target equipment can obtain the production contract of the target strip, automatically analyze the production process parameters of the target strip from the production contract, and after obtaining the production process parameters of the target strip, step 120 can be executed.

[0029] Step 120: Based on the target temperature of the target strip in the production process parameters, determine the n set outlet temperatures corresponding to the n frames according to the usage sequence of the frames that produce the target strip.

[0030] In this embodiment of the invention, the set exit temperatures of each of the n stands can be determined according to the production process parameters, based on the equipment temperature for producing the target strip steel. As the silicon content increases, the room temperature brittleness of the strip steel increases. To improve plasticity, the rolling temperature is increased by fully utilizing the temperature rise from deformation heat and frictional heat. That is, the higher the silicon content, the higher the target temperature, and correspondingly, the higher the set exit temperature of each stand.

[0031] In this embodiment of the invention, n is a positive integer greater than 3. For each rack, the set outlet temperature is the ideal temperature of the target strip when it exits the rack. The outlet temperature of the previous rack can be the inlet temperature of the next rack, and the set outlet temperature of the last rack, i.e., the nth rack, can be the target temperature of the target strip.

[0032] In this embodiment of the invention, to facilitate the calculation of the target reduction rate for each rack, the racks can be divided into three categories according to the production sequence. For the nth rack, step 130 can be executed to obtain the first target reduction rate for the nth rack, which is also the last rack. For the 1st rack to the (nm)th rack, step 140 can be executed to obtain the second target reduction rate for the rack. For the remaining racks, step 150 can be executed to obtain the third target reduction rate for the remaining racks.

[0033] Step 130: Based on the set outlet temperature of the nth rack, refresh the first initial reduction rate of the nth rack to the first target reduction rate of the nth rack using the first model.

[0034] In this embodiment of the invention, the set exit temperature of the nth stand can be the final target temperature of the target strip. The first model can be any model that predicts the exit temperature of the stand based on the reduction rate of the stand. The first initial reduction rate of the nth stand can be any value set manually, or it can be a reduction rate obtained based on historical experience data. The first initial reduction rate represents the preset reduction rate of the nth stand.

[0035] In this embodiment of the invention, during step 130, the first initial reduction rate, the first rolling speed, and the first rolling force corresponding to the first initial reduction rate of the nth stand can be obtained. The first rolling speed can be obtained based on the first initial reduction rate. Since the reduction rate of the stand is related to the rolling force, the first rolling force can characterize the rolling force of the nth stand when operating according to the first initial reduction rate. The first rolling speed can be obtained based on the first initial reduction rate, characterizing the speed of the nth stand when operating according to the first initial reduction rate. Alternatively, the maximum efficiency of the stand can be directly used as the first rolling speed of the nth stand.

[0036] In this embodiment of the invention, the first initial reduction rate, the first rolling force, the first rolling speed, and the set exit temperature of the nth stand are then weighted and calculated using a first model to obtain the first target reduction rate. One expression formula of the first model can be shown in the following formula (1): Formula (1): Tn = a0 + a1 * first rolling force + a2 * first initial reduction rate * 100 + a3 * first roll speed, where Tn is the set exit temperature (target temperature) of the nth stand, and a0, a1, a2, and a3 are fitting coefficients.

[0037] In this embodiment of the invention, since the target temperature is the final accurate value when calculating the nth rack and cannot be changed, the above formula (1) can be transformed into the following formula (2) to obtain the first target reduction ratio: Formula (2): First target reduction ratio = (target temperature - a0 - a1 * first rolling force - a3 * first rolling speed) / (a2 * 100) In formula (1), the production process parameters of the target strip also include parameters such as the tension, deformation resistance, and work roll diameter of the target strip. The first rolling force is calculated using the production working parameters and the first initial reduction rate. The first rolling speed is the maximum rolling speed of the stand working group, and the first initial reduction rate can be any value.

[0038] Step 140: For the i-th rack sequentially, determine the second initial reduction rate of the i-th rack based on the first target reduction rate. Determine the initial outlet temperature corresponding to the i-th rack using the second model based on the second initial reduction rate. If the temperature difference between the initial outlet temperature and the set outlet temperature is less than the preset temperature difference, use the second initial reduction rate as the second target reduction rate corresponding to the i-th rack, i=1,2,...,nm.

[0039] In this embodiment of the invention, the stand can be any stand from the first stand to the (nm)th stand in the stand sequence, where m is a positive integer not less than 1. After calculating the first target rolling force of the last stand, the second initial reduction rate of the i-th stand can be determined based on the first target reduction rate. Specifically, the total reduction rate in the production process parameters is obtained. The remaining reduction rate is distributed according to the equal power allocation principle to obtain the second initial reduction rate of the i-th stand. The remaining reduction rate is the difference between the total reduction rate and the occupied reduction rate, which includes the first target reduction rate and (i-1) second target reduction rates.

[0040] In this embodiment of the invention, the total reduction rate is fixed during the production of the target strip. After calculating the first target reduction rate, the occupied reduction rate can include the first target reduction rate. Subsequently, the second initial reduction rate of the first stand, i.e., the first stand, can be determined according to the equal power allocation principle. The reduction rate allocated according to the equal power allocation principle is used as the second initial reduction rate of the first stand, and the second target reduction rate of the first stand is calculated with temperature as the target. Correspondingly, when calculating the second target reduction rate of the second stand, i.e., the second stand, the occupied reduction rate can include the first target reduction rate and the second target reduction rate of the first stand. The difference between the total reduction rate and the occupied reduction rate, i.e., the remaining reduction rate, is used to determine the second initial reduction rate of the second stand according to the equal power principle. In addition, the second initial reduction rate can also be a preset fixed value.

[0041] In this embodiment of the invention, during the process of calculating the second target reduction rate of the i-th rack with temperature as the objective, the initial outlet temperature corresponding to the i-th rack can be determined by a second model based on the second initial reduction rate. The second model can be different from or the same as the first model. The second model can also be any large model used to calculate the initial outlet temperature based on the second initial reduction rate. The preset temperature difference can be any temperature difference value; the smaller the preset temperature difference, the higher the accuracy of the calculated second target reduction rate.

[0042] In this embodiment of the invention, after the second model calculation is completed, the initial outlet temperature corresponding to the second initial reduction rate can be compared with the set outlet temperature. If the temperature difference is less than the preset temperature difference, the second initial reduction rate can be used as the second target reduction rate corresponding to the i-th stand, and the outlet strip temperature of the stand can be adjusted from the set outlet temperature to the initial outlet temperature. If the temperature difference between the initial outlet temperature corresponding to the second initial reduction rate and the set outlet temperature is not less than the preset temperature difference, the second initial reduction rate can be adjusted to an intermediate reduction rate, and the intermediate outlet temperature corresponding to the intermediate reduction rate can be re-determined through the second model. Then, the temperature difference between the intermediate outlet temperature and the set outlet temperature corresponding to the stand is compared to see if it is less than the preset temperature. This process is repeated iteratively to adjust the second initial reduction rate until the temperature difference between the intermediate outlet temperature and the target outlet temperature is less than the preset temperature difference. The intermediate reduction rate is then used as the second target reduction rate corresponding to the i-th stand, and the intermediate outlet temperature can be used as the outlet strip temperature of the stand.

[0043] In this embodiment of the invention, during the process of determining the initial exit temperature corresponding to the i-th stand based on the second initial reduction rate using the second model, the second initial reduction rate, the second rolling force, the second rolling speed, and the first inlet strip temperature can be weighted and calculated using the second model to obtain the initial exit temperature corresponding to the second initial reduction rate. The second rolling force and the second rolling speed are both obtained based on the second initial reduction rate. The first inlet strip temperature is the target exit temperature of the (i-1)-th stand, and the target exit temperature of the (i-1)-th stand is the initial exit temperature or the intermediate exit temperature of the i-th stand.

[0044] In this embodiment of the invention, the main calculation method of the second model can be shown in the following formula (3): Formula (3): Ti = b0 + b1 * second rolling force of the i-th stand + b2 * second initial reduction rate of the i-th stand * 100 + b3 * second rolling speed of the i-th stand + b4 * first inlet strip temperature of the i-th stand. Where Ti is the initial outlet temperature of the i-th stand, the second rolling force of the i-th stand can be determined by the production process parameters combined with the second initial reduction rate, the second initial reduction rate of the i-th stand can be determined by the equal power distribution principle, the inlet strip temperature of the i-th stand can be the outlet strip temperature of the previous stand, that is, the outlet temperature corresponding to the second target reduction rate of the previous stand, i.e., the initial outlet temperature or the intermediate outlet temperature, b0, b1, b2, b3, b4 are fitting coefficients, and different stands correspond to different fitting coefficients.

[0045] In this embodiment of the invention, the production process parameters may include parameters such as the inlet strip temperature of the first stand, the raw material thickness of the target strip, tension, deformation resistance, and work roll diameter, thereby determining the second rolling force corresponding to the second initial reduction rate of the first stand using the Hill formula. In this embodiment of the invention, the corresponding second rolling force can also be determined based on the second initial reduction rate using other calculation methods, and this embodiment of the invention does not impose specific limitations on this.

[0046] In this embodiment of the invention, the second rolling speed of the i-th stand can be determined by the following formula (4): Formula (4): The second roll speed of the i-th stand = the roll speed of the last stand * the exit thickness of the last stand / (the inlet thickness of the 1-th stand * (1 - the reduction rate of the 1-th stand) * ... (1 - the reduction rate of the i-th stand)) For example: the second rolling speed of the first stand = the rolling speed of the last stand * the exit thickness of the last stand / (the entry thickness of the first stand * (1 - the second initial reduction rate of the first stand); The rolling speed of the second stand = the rolling speed of the last stand * the exit thickness of the last stand / (the entry thickness of the first stand * (1 - the second target reduction rate of the first stand) * (1 - the second initial reduction rate of the second stand)).

[0047] Step 150: Determine the third target reduction rate of the remaining racks based on the first target reduction rate and (nm) second target reduction rates, wherein the remaining racks are (m-1) racks out of n racks excluding the nth rack and (nm) racks.

[0048] In this embodiment of the invention, after obtaining the first target reduction rate and (nm) second target reduction rate of the nth rack, the remaining reduction rate can be allocated to the remaining racks according to the equal power matching.

[0049] The set exit temperature of each stand is determined based on the production process parameters of the target strip, and the reduction rate of each stand is adjusted according to the set exit temperature of each stand so that the reduction rate load of each stand corresponds to the set exit temperature. This solves to some extent the problem of inaccurate stand load distribution during rolling caused by the failure to consider rolling temperature in related technologies.

[0050] In this embodiment of the invention, before updating the first initial reduction rate of the nth stand to the first target reduction rate of the nth stand using the first model based on the set outlet temperature of the nth stand, historical production information of strip steel with the same specifications as the target strip steel is obtained; the first model and / or the second model are constructed based on the historical production information. Specifically, the fitting coefficients in the first model and / or the second model are determined based on the historical production information of strip steel with the same specifications as the target strip steel.

[0051] To better understand the method for improving the crack propagation capability of sheet metal provided in the embodiments of the present invention, examples are given below. It should be understood that these examples are not intended to be limiting. Figure 2 This illustrates the concept of a method for optimizing a rolling process provided by an embodiment of the present invention. For example... Figure 2 As shown, the rolling process optimization method provided in this embodiment of the invention can be applied to cold rolling mills as well as other warm rolling mills. Specifically, it includes: setting the target rolling temperature, a rolling temperature prediction model, and iterative calculation of the reduction rate. This solves the problems of strip breakage and product surface color difference caused by improper warm rolling temperature, and realizes the optimized setting of the rolling process with temperature as the objective function, meeting the requirements of high-quality and high-efficiency production of high-grade silicon steel.

[0052] In the example provided in the embodiments of the present invention, the cold rolling mill is an n-stand mill, where n is 5 and m is 3.

[0053] 1. Target rolling temperature given (1) Set the target rolling temperature for each stand for rolling process optimization.

[0054] As silicon content increases, the room temperature brittleness of the strip increases. To improve plasticity, the rolling temperature is increased by fully utilizing the temperature rise from deformation heat and frictional heat. That is, the higher the silicon content, the higher the target rolling temperature. The set exit temperatures for each stand of the target strip are shown in Table 1 below: Table 1. Schematic diagram of the target strip's set exit temperature

[0055] 2. Fitting and establishing a rolling temperature prediction model (1) The rolling temperature prediction model for the nth stand (last stand), also known as the first model. The actual values ​​of the strip temperature at the exit of the last stand, the rolling force, reduction rate, and rolling speed of the last stand are obtained, and the rolling temperature prediction model for the last stand is fitted: Tn = a0 + a1 * first rolling force + a2 * first initial reduction rate * 100 + a3 * first roll speed, where Tn is the set exit temperature (target temperature) of the nth stand, and a0, a1, a2, and a3 are fitting coefficients.

[0056] Based on historical production information, a0, a1, a2, and a3 are determined. An example of a model for predicting the rolling temperature of the last stand is provided. T5 = 42.2 + 0.012 * Last stand rolling force + 3.379 * Last stand reduction rate * 100 + 0.019 * Last stand rolling speed Wherein: the rolling force of the last stand = 800 tons; the reduction rate of the last stand = 15%; the rolling speed of the last stand = 1000 mpm; the rolling temperature of the last stand T5 = 42.2 + 0.012 * 800 + 3.379 * 15% * 100 + 0.019 * 1000 = 121.5℃; The fitting coefficients are a0=42.2, a1=0.012, a2=3.379, and a3=0.019.

[0057] (2) The rolling temperature prediction model for the i-th stand (i=1,2,...,n-3), which is the second model Obtain the actual values ​​of strip temperature at the inlet and outlet of the i-th stand, as well as the rolling force, reduction rate, and rolling speed of the i-th stand. Then, fit the model to derive the rolling temperature prediction model for the i-th stand. Ti = b0 + b1 * second rolling force of the i-th stand + b2 * second initial reduction rate of the i-th stand * 100 + b3 * second rolling speed of the i-th stand + b4 * first inlet strip temperature of the i-th stand, where b0, b1, b2, b3, and b4 are fitting coefficients, with different fitting coefficients corresponding to different stand numbers, and Ti is the strip temperature at the exit of the i-th stand.

[0058] Example of a rolling temperature prediction model for the first stand: T1 = -53.8 - 0.012 * Rolling force of the first stand + 5.541 * Reduction rate of the first stand * 100 + 0.077 * Rolling speed of the first stand + 0.285 * Strip temperature at the entrance of the first stand Where: First stand rolling force = 1200ton; First stand reduction rate = 30%; First stand rolling speed = Last stand rolling speed * Last stand exit thickness / (First stand entry thickness * First stand reduction rate) = 1000mpm * 0.27mm / (2.4mm * (1-30%)) = 160.7mpm; First stand strip temperature = 80℃; T1 = -53.8 - 0.012 * 1200 + 5.541 * 30% * 100 + 0.077 * 160.7 + 0.285 * 80 = 133.2℃; b0=-53.8, b1=-0.012, b2=5.541, b3=0.077, b4=0.285.

[0059] Example of a rolling temperature prediction model for the second stand: T2 = -116.9 + 0.011 * rolling force of the second stand + 1.322 * reduction rate of the second stand * 100 + 0.222 * rolling speed of the second stand + 0.818 * strip temperature at the entrance of the second stand (i.e., the exit temperature of the first stand) Where: the rolling force of the second stand = 1200 ton; the reduction rate of the second stand = 30%; the rolling speed of the second stand = the rolling speed of the last stand * the exit thickness of the last stand / the exit thickness of the second stand = 1000mpm * 0.27mm / (2.4mm * (1-30%) * (1-30%)) = 229.6mpm; the strip temperature at the exit of the second stand = -116.9 + 0.011 * 1200 + 1.322 * 30% * 100 + 0.222 * 229.6 + 0.818 * 133.2 = 95.9℃; b0=-116.9, b1=0.011, b2=1.322, b3=0.222, b4=0.818.

[0060] Using the above formulas, we can obtain the fitting coefficient values ​​b0, b1, b2, b3, and b4 for each rack.

[0061] 3. Iterative calculation of reduction rate (1) Calculation of the first target reduction rate of the last frame The target temperature, as well as the tension, deformation resistance, and work roll diameter of the target strip, are determined to calculate the first initial rolling force of the nth stand. The maximum rolling speed of the mill is used as the first rolling speed, and 10% is used as the first initial reduction rate. The first rolling force is calculated based on the first initial reduction rate using the first model.

[0062] For example, if the target temperature for the last stand is 120℃, the first target reduction rate for the last stand = (target temperature - 42.2 - 0.012 * first initial rolling force - 0.019 * first rolling speed) / (3.379 * 100) = (120 - 42.2 - 0.012 * 926 - 0.019 * 1200) / (3.379 * 100) = 13%. Therefore, the first target reduction rate for the nth stand can be determined to be 13%.

[0063] (2) Calculation of the second target reduction rate of the i-th frame Determine the set exit temperature of the first stand, and determine the parameters of the second initial rolling force of the first stand, such as the strip temperature at the entrance of the first stand, the raw material thickness, tension, deformation resistance, and work roll diameter, based on the first initial reduction rate. Calculate the second rolling speed of the i-th stand according to formula (4) with equal flow rates per second, and use 30% as the second initial reduction rate of the first stand, and 5℃ as the preset temperature difference. Iterate using formula (3) until the absolute value of the temperature difference between the initial exit temperature or intermediate exit temperature and the set exit temperature of the first stand is ≤5℃.

[0064] The target rolling temperature for the first stand is 180℃. The calculation process for the reduction rate of the first stand is as follows: Given a second initial reduction rate of 30%, the second rolling force corresponding to the first initial reduction rate is calculated using Hill's formula to be 1300 tons. The second rolling speed of the first stand = last stand exit thickness * last stand speed / (raw material thickness * (1 - S1 second initial reduction rate)) = 0.27 * 1200 / (2.4 * (1 - 30%)) = 192.9 mpm. The strip temperature at the first stand entrance is 200℃. The initial exit temperature corresponding to the second initial reduction rate of the first stand is determined using a second model that includes the fitting coefficients corresponding to the first stand. T1(0) = -53.8 - 0.012 * Second rolling force of the first stand + 5.541 * Second initial reduction rate of the first stand * 100 + 0.077 * Second rolling speed of the first stand + 0.285 * Inlet strip temperature of the first stand = 168.7℃ Since the absolute value (T1(0)-T1 target) ≥ 5℃ (Note: T1(0) is the initial exit temperature of the first stand, and T1 target is the set exit temperature of the first stand), the second initial reduction rate of 30% is adjusted to the intermediate reduction rate of 31%. The second rolling force corresponding to the intermediate reduction rate of 31% is calculated using the Hill formula as 1320 tons. The rolling speed of the first stand = the exit thickness of the last stand * the speed of the last stand / (the thickness of the raw material * (1 - the intermediate reduction rate of the first stand)) = 0.27 * 1200 / (2.4 * (1 - 31%)) = 195.6 mpm. The strip temperature at the entrance of the first stand = 200℃. The intermediate outlet temperature of the first rack is determined using a second model that includes the fitting coefficients corresponding to the first rack: T1(1) = -53.8 - 0.012 * rolling force of the first stand + 5.541 * reduction rate of the first stand * 100 + 0.077 * rolling speed of the first stand + 0.285 * strip temperature at the entrance of the first stand = 174.2℃ Since the absolute value (T1(1)-T1 target) ≥ 5℃ (Note: T1(1) and T1(2) below are the intermediate exit temperatures of the first stand), the intermediate reduction rate is adjusted to 32%. The rolling force corresponding to a reduction rate of 32% is calculated using the Hill formula as 1350 tons. The second rolling speed of the first stand = the exit thickness of the last stand * the speed of the last stand / (the thickness of the raw material * (1-S1 reduction rate)) = 0.27 * 1200 / (2.4 * (1-32%)) = 198.5mpm. The strip temperature at the entrance of the first stand = 200℃. Iterative substitution to calculate rolling temperature: T1(2) = -53.8 - 0.012 * rolling force of the first stand + 5.541 * reduction rate of the first stand * 100 + 0.077 * rolling speed of the first stand + 0.285 * strip temperature at the entrance of the first stand = 179.6℃ The absolute value (T1(2)-T1 target) < 5℃, the calculation is terminated, and the second target reduction rate of the first frame is 32%.

[0065] The set outlet temperature for the second rack is 180℃. The calculation process for the second target reduction rate for the second rack is as follows: Using 30% as the second initial reduction rate for the second stand, the rolling force corresponding to 30% is calculated using Hill's formula to be 1400 tons. The second rolling speed of the second stand = last stand exit thickness * last stand speed / (raw material thickness * (1 - second target reduction rate of the first stand) * (1 - second initial reduction rate of the second stand)) = 0.27 * 1200 / (2.4 * (1 - 32%) * (1 - 30%)) = 283.6 mpm. The strip temperature at the second stand entrance = the strip temperature at the middle exit of the first stand = 179.6℃. The initial exit temperature corresponding to the second initial reduction rate is determined by a second model that includes the fitting coefficients corresponding to the second stand. T2(0) = -116.9 + 0.011 * Second rolling force of the second stand + 1.322 * Second initial reduction rate of the second stand * 100 + 0.222 * Second rolling speed of the second stand + 0.818 * Inlet strip temperature of the second stand = 148℃ Since the absolute value (T2(0)-T2 target) ≥ 5℃ (Note: T2(0) is the initial exit temperature of the second stand, and T2 target is the set exit temperature of the second stand), the second initial reduction rate of 30% is adjusted to the intermediate reduction rate of 42%. The second rolling force corresponding to the 42% reduction rate is calculated using the Hill formula as 1650 tons. The second rolling speed of the second stand = the exit thickness of the last stand * the speed of the last stand / (the thickness of the raw material * (1 - the second target reduction rate of the first stand) * (1 - the intermediate reduction rate of the second stand)) = 0.27 * 1200 / (2.4 * (1 - 32%) * (1 - 42%)) = 342.3 MPm. The entry strip temperature of the second stand = the exit strip temperature of the first stand = 179.6℃. The intermediate outlet temperature corresponding to the intermediate reduction rate of the second frame was calculated using the second model: T2(1) = -116.9 + 0.011 * second rolling force of the second stand + 1.322 * intermediate reduction rate of the second stand * 100 + 0.222 * second rolling speed of the second stand + 0.818 * entry strip temperature of the second stand = 179.7℃; The absolute value (T2(1)-T2 target) < 5℃, the calculation is terminated, and the second target reduction rate of the second frame is 42%.

[0066] (3) The calculation of the third target reduction rate for stands n-2 and n-1 can be allocated according to the principle of equal power. For example, in a five-stand cold continuous rolling mill, the raw material thickness is 2.4 mm and the exit thickness is 0.27 mm. The first target reduction rate of stand 5 is 13%, the second target reduction rate of stand 1 is 32%, and the second target reduction rate of stand 2 is 42%. According to the principle of equal power, the third target reduction rate of stand 3 can be 44%, and the third target reduction rate of stand 4 can be 42%.

[0067] This invention provides a method for optimizing warm rolling process. By setting a target rolling temperature, using a rolling temperature prediction model, and iteratively calculating the reduction rate, it solves the problems of strip breakage and product surface color difference caused by improper warm rolling temperature. It realizes the optimized setting of rolling process with temperature as the objective function, meeting the requirements of high-quality and high-efficiency production of high-grade silicon steel.

[0068] Figure 3 The diagram illustrates a structural block of a rolling process optimization device provided by an embodiment of the present invention. For example... Figure 3 As shown, the rolling process optimization device 300 provided in this embodiment of the invention includes: The acquisition module 310 is used to acquire the production process parameters of the target strip steel; The determining module 320 is used to determine n set outlet temperatures corresponding to n racks according to the target temperature of the target strip in the production process parameters and the usage order of the racks producing the target strip; based on the set outlet temperature of the nth rack, the first initial reduction rate of the nth rack is refreshed to the first target reduction rate of the nth rack through the first model; sequentially for the i-th rack, the second initial reduction rate of the i-th rack is determined according to the first target reduction rate, and the initial outlet temperature corresponding to the i-th rack is determined according to the second initial reduction rate through the second model; if the temperature difference between the initial outlet temperature and the set outlet temperature is less than the preset temperature difference, the second initial reduction rate is used as the second target reduction rate corresponding to the i-th rack, i=1,2,...,nm; based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate of the remaining racks is determined, where the remaining racks are (m-1) racks out of the n racks excluding the nth rack and (nm) racks.

[0069] It should be noted that the embodiments of the rolling process optimization device in this specification and the embodiments of the rolling process optimization method in this specification are based on the same inventive concept. Therefore, the specific implementation of this embodiment can be referred to the corresponding embodiments of the rolling process optimization method mentioned above, and the repeated parts will not be described again.

[0070] Figure 4A structural block diagram of an electronic device provided for the implementation of this application. For example... Figure 4 As shown, the electronic device provided in this application embodiment includes a processor 410 and a memory 420, wherein the memory is used to store instructions executable by the processor; wherein the processor is configured to execute the instructions to achieve, for example... Figure 1 The method for optimizing the rolling process is shown.

[0071] In an exemplary embodiment, the electronic device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0072] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory including instructions that can be executed by a processor of a device to perform the described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc. This non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform... Figure 1 The method for optimizing the rolling process is shown.

[0073] This application also provides a computer program product, including a computer program, which, when executed by a processor, performs... Figure 1 The method for optimizing the rolling process is shown.

[0074] The above description does not provide detailed technical specifications regarding the structure of each layer. However, those skilled in the art should understand that layers and regions of desired shapes can be formed using various technical means. Furthermore, to form the same structure, those skilled in the art can also design methods that are not entirely identical to those described above. Additionally, although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be advantageously combined.

[0075] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0076] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for optimizing a rolling process, characterized in that, The method includes: Obtain the production process parameters of the target strip steel; Based on the target temperature of the target strip in the production process parameters, n set outlet temperatures are determined one-to-one with n frames according to the order of use of the frames that produce the target strip. Based on the set exit temperature of the nth stand, the first initial reduction rate of the nth stand is refreshed to the first target reduction rate of the nth stand using a first model, including: obtaining the first initial reduction rate, the first rolling speed, and the first rolling force corresponding to the first initial reduction rate of the nth stand; and performing a weighted calculation on the first initial reduction rate, the first rolling force, the first rolling speed, and the set exit temperature of the nth stand using the first model to obtain the first target reduction rate. For the i-th rack sequentially, a second initial reduction rate is determined based on the first target reduction rate. The initial outlet temperature corresponding to the i-th rack is then determined using a second model based on the second initial reduction rate. If the temperature difference between the initial outlet temperature and the set outlet temperature is less than a preset temperature difference, the second initial reduction rate is used as the second target reduction rate for that rack, i = 1, 2, ..., nm. If the temperature difference between the initial outlet temperature and the set outlet temperature is not less than the preset temperature difference, the second initial reduction rate is adjusted to an intermediate reduction rate, and the intermediate outlet temperature corresponding to the intermediate reduction rate is calculated using the second model until the temperature difference between the intermediate outlet temperature and the target outlet temperature is reached. If the temperature difference is less than the preset temperature difference, the intermediate reduction rate is used as the second target reduction rate corresponding to the stand. The step of determining the initial exit temperature corresponding to the i-th stand based on the second initial reduction rate using the second model includes: weighting the second initial reduction rate, the second rolling force, the second rolling speed, and the first inlet strip temperature using the second model to obtain the initial exit temperature corresponding to the second initial reduction rate. The second rolling force and the second rolling speed are both obtained based on the second initial reduction rate. The first inlet strip temperature is the target exit temperature of the (i-1)-th stand, and the target exit temperature of the (i-1)-th stand is the initial exit temperature or the intermediate exit temperature of the stand. Based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate of the remaining racks is determined, wherein the remaining racks are (m-1) racks out of n racks, excluding the nth rack and (nm) racks.

2. The method according to claim 1, characterized in that, Determining the second initial reduction ratio of the frame based on the first target reduction ratio includes: Obtain the total reduction rate from the production process parameters; The remaining reduction rate is used to obtain the second initial reduction rate of the rack according to the principle of equal power allocation. The remaining reduction rate is the difference between the total reduction rate and the occupied reduction rate. The occupied reduction rate includes the first target reduction rate and (i-1) second target reduction rates.

3. The method according to claim 1, characterized in that, Before updating the first initial reduction ratio of the nth rack to the first target reduction ratio of the nth rack using the first model based on the set outlet temperature of the nth rack, the method further includes: Obtain historical production information for strip steel with the same specifications as the target strip steel; The first model and / or the second model are constructed based on the historical production information.

4. An optimization device for rolling process, characterized in that, The device includes: The acquisition module is used to acquire the production process parameters of the target strip steel; The determination module is used to determine n set exit temperatures corresponding to n stands according to the target strip temperature in the production process parameters and the usage sequence of the stands producing the target strip; based on the set exit temperature of the nth stand, the module refreshes the first initial reduction rate of the nth stand to the first target reduction rate of the nth stand through a first model, including: obtaining the first initial reduction rate, the first rolling speed, and the first rolling force corresponding to the first initial reduction rate of the nth stand; and updating the first initial reduction rate, the first rolling speed, and the first rolling force corresponding to the first initial reduction rate of the nth stand through the first model. The rolling force, the first rolling speed, and the set exit temperature are weighted to obtain the first target reduction rate. For the i-th stand sequentially, a second initial reduction rate is determined based on the first target reduction rate. The initial exit temperature corresponding to the i-th stand is determined using a second model based on the second initial reduction rate. If the temperature difference between the initial exit temperature and the set exit temperature is less than a preset temperature difference, the second initial reduction rate is used as the second target reduction rate for that stand, i = 1, 2, ..., nm. If the temperature difference between the initial exit temperature and the set exit temperature is not less than a preset temperature difference, the second initial reduction rate is used as the second target reduction rate for that stand. If a preset temperature difference is found, the second initial reduction rate is adjusted to an intermediate reduction rate, and the intermediate outlet temperature corresponding to the intermediate reduction rate is calculated using the second model until the temperature difference between the intermediate outlet temperature and the target outlet temperature is less than the preset temperature difference. The intermediate reduction rate is then used as the second target reduction rate for the i-th stand. The step of determining the initial outlet temperature corresponding to the i-th stand using the second model based on the second initial reduction rate includes: weighting the second initial reduction rate, the second rolling force, the second rolling speed, and the first inlet strip temperature using the second model. The initial exit temperature corresponding to the second initial reduction rate is calculated. The second rolling force and the second rolling speed are both obtained based on the second initial reduction rate. The first inlet strip temperature is the target exit temperature of the (i-1)th stand. The target exit temperature of the (i-1)th stand is the initial exit temperature or the intermediate exit temperature of the stand. Based on the first target reduction rate and (nm) second target reduction rates, the third target reduction rate of the remaining stands is determined. The remaining stands are (m-1) stands out of n stands, excluding the nth stand and (nm) stands.

5. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1 to 3.

6. A storage medium, characterized in that, When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device is able to perform the method as described in any one of claims 1 to 3.

7. A computer program product, characterized in that, Includes a computer program, which is executed by a processor according to any one of claims 1 to 3.

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