Rolling data processing method and device for rolling mill, storage medium, and electronic equipment

Abstract

The present application discloses a rolling data processing method and device, storage medium, and electronic device for a rolling mill. The method includes: determining the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total deformation of rolling; calculating the actual rolling force of multiple passes according to the material parameters of the rolling object, the rolling mill parameters, and the actual deformation of multiple passes; when the actual rolling force of multiple passes meets the preset rolling force requirements, determining the rolling force distribution coefficient of multiple passes of the rolling mill according to the actual rolling force of multiple passes. The problem that only the reduction rate distribution is performed when designing the rolling process in the related art, and the rolling force of the pass is not considered, resulting in unreasonable distribution, poor rolling effect, and insufficient flexibility is solved; for some rolling mills on site that can only calculate the rolling procedure according to the rolling force distribution coefficient, the present application can realize rolling load distribution according to the target reduction rate.

Description

Technical Field

[0001] The present application relates to the field of rolling mills, and more specifically, to a rolling data processing method and device, a storage medium, and an electronic device for a rolling mill. Background Art

[0002] The calculation of the hot rolling rough rolling schedule is the core content of the rough rolling process control model, and is the basis for the stability of the production process. It has an important impact on the plate shape, thickness and other indicators of the finished product. If the rolling schedule is set unreasonably, it will cause damage to equipment such as the rolling mill and the motor, and at the same time cause a series of problems such as increased roll wear and shortened roll changing cycle. The reduction distribution strategy is mainly divided into the following five modes, namely, absolute reduction rate mode, absolute rolling force mode, reduction rate ratio distribution mode, rolling force ratio distribution mode and rolling power ratio distribution mode. For the rough rolling process, reduction rate ratio distribution and rolling force ratio distribution are the two most commonly used modes.

[0003] In the prior art, the rolling force distribution coefficient or the reduction rate distribution coefficient is usually calculated alone to complete the rolling load distribution, and the reduction rate distribution coefficient is not combined with the rolling force distribution coefficient. For some roughing mills, since the secondary system only supports load distribution through the rolling force distribution coefficient, it is impossible to obtain the target reduction rate distribution strategy formulated according to the on-site process requirements. Therefore, the prior art lacks certain flexibility in the optimization of on-site load distribution process.

[0004] In view of the problem that in the related technology, when designing the rolling process, only the reduction rate is allocated without considering the rolling force of the pass, resulting in unreasonable allocation, poor rolling effect and insufficient flexibility, and no effective solution has been proposed yet; at the same time, the present invention determines the reduction rate allocation coefficient according to the on-site process requirements, and calculates the rolling force distribution coefficient through an offline model, which is input into the rolling mill to complete the calculation of the rough rolling schedule, effectively combining the on-site process with the theoretical calculation of the rolling schedule, and has certain practicality. Summary of the invention

[0005] The main purpose of the present application is to provide a rolling data processing method and device, storage medium, and electronic equipment for a rolling mill, so as to solve the problem in the related technology that when designing the rolling process, only the reduction rate is allocated without considering the rolling force of the pass, resulting in unreasonable allocation, poor rolling effect, and insufficient flexibility.

[0006] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a rolling data processing method of a rolling mill is provided, comprising: determining the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total rolling deformation; calculating the actual rolling force of multiple passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of the multiple passes; when the actual rolling force of multiple passes meets the preset rolling force requirement, determining the rolling force distribution coefficient of the multiple passes of the rolling mill according to the actual rolling force of the multiple passes.

[0007] Optionally, determining the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total rolling deformation includes: determining the limit reduction of the rolling mill according to the maximum bite angle and the roller radius of the rolling mill; determining the total rolling passes according to the limit reduction, the steel bite safety factor and the actual total rolling deformation; determining the reduction rate distribution coefficient according to a preset reduction rate limiting condition; determining the reduction rate of each pass according to the reduction rate distribution coefficient; determining a reference reduction rate, as well as the actual reduction rate and actual deformation of each pass according to the reduction rate of each pass; when the actual deformation of each pass does not meet the deformation requirement, adjusting the reduction rate distribution coefficient, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limiting condition; re-determining the actual deformation and the actual reduction rate according to the adjusted reduction rate distribution coefficient until the actual deformation meets the deformation requirement.

[0008] Optionally, calculating the actual rolling force of multiple passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of the multiple passes includes: determining the deformation resistance formula and the friction influence coefficient formula of the rolling object according to the material parameters of the rolling object, wherein the deformation resistance formula and the friction influence coefficient formula are both calculated through the deformation of the corresponding pass; determining the functional relationship between the actual rolling force and multiple variables according to the actual deformation, the rolling mill parameters, and a rolling force calculation model, wherein the rolling force calculation model includes the deformation resistance formula and the friction influence coefficient formula, and the multiple variables include the actual deformation corresponding to the actual rolling force, and iterative variables of each pass; determining the functional relationship between the iterative variables and the actual rolling force and the actual deformation; substituting the functional relationship of the actual rolling force into the functional relationship of the iterative variables for iteration until the iteration stop condition is met, and determining the actual rolling force of each pass.

[0009] Optionally, the functional relationship of the actual rolling force is substituted into the functional relationship of the iteration variable for iteration until the iteration stop condition is met, and the actual rolling force of each pass is determined, including: determining the initial value of the iteration variable of the first pass; according to the initial value, the actual deformation of the first pass is substituted into the functional relationship of the actual rolling force to calculate the actual rolling force; the calculated actual rolling force is substituted into the functional relationship of the iteration variable to determine the calculated value of the iteration variable; according to the initial value and the calculated value of the iteration variable, it is determined whether the iteration stop condition is met; if the initial value and the calculated value meet the iteration stop condition, the calculated set deformation is used as the actual rolling force of the first pass to calculate the actual rolling force of the next pass; if the initial value and the calculated value do not meet the iteration stop condition, the calculated value of the iteration variable is used as the initial value, and the set deformation and the calculated value of the iteration variable are iteratively calculated until the initial value and the calculated value of the iteration variable meet the iteration stop condition.

[0010] Optionally, when the actual rolling force of multiple passes meets the preset rolling force requirement, determining the rolling force distribution coefficient of multiple passes of the rolling mill according to the actual rolling force of the multiple passes includes: determining whether the actual rolling force of each pass meets the preset rolling force requirement, wherein the rolling force requirement is a safety value that the actual rolling force does not exceed the maximum design rolling force of the rolling mill; when the actual rolling force of each pass meets the rolling force requirement, determining the rolling force distribution coefficient according to the ratio of the actual rolling forces of multiple passes.

[0011] Optionally, the method also includes: when the actual rolling force of multiple passes does not meet the preset rolling force requirement, adjusting the reduction rate distribution coefficient; and redetermining the actual deformation and actual rolling force of the multiple passes according to the adjusted reduction rate distribution coefficient until the actual rolling force meets the preset rolling force requirement.

[0012] Optionally, after determining the rolling force distribution coefficient according to the ratio of actual rolling forces of multiple passes, the method also includes: determining whether the rolling force distribution coefficient meets a preset distribution requirement, wherein the distribution requirement is that the ratio of the maximum value to the minimum value of the rolling force distribution coefficient does not exceed the preset ratio; if the rolling force distribution coefficient meets the distribution requirement, outputting the rolling force distribution coefficient; if the rolling force distribution coefficient does not meet the distribution requirement, adjusting the reduction rate distribution coefficient, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limitation condition; and re-determining the rolling force distribution coefficient based on the adjusted reduction rate distribution coefficient until the rolling force distribution coefficient meets the distribution requirement.

[0013] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a rolling data processing device of a rolling mill is provided, including: a deformation determination module, used to determine the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total rolling deformation; a rolling force determination module, used to calculate the actual rolling force of multiple passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of the multiple passes; a distribution coefficient determination module, used to determine the rolling force distribution coefficient of multiple passes of the rolling mill according to the actual rolling force of the multiple passes when the actual rolling force of the multiple passes meets the preset rolling force requirement.

[0014] According to another aspect of the present application, a computer-readable storage medium is further provided, wherein the storage medium is used to store a program, wherein the program executes any one of the above-mentioned rolling data processing methods for a rolling mill.

[0015] According to another aspect of the present application, an electronic device is also provided, comprising one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any one of the above-mentioned rolling data processing methods for a rolling mill.

[0016] Through the present application, the actual deformation of multiple passes is determined according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total rolling deformation; the actual rolling force of multiple passes is calculated according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of multiple passes; when the actual rolling force of multiple passes meets the preset rolling force requirements, the rolling force distribution coefficient of multiple passes of the rolling mill is determined according to the actual rolling force of multiple passes.

[0017] According to the on-site process requirements, the reduction rate distribution coefficient is given, the actual deformation of multiple passes is calculated, and the actual rolling force is calculated based on the actual deformation, and then the rolling force distribution coefficient is calculated by the actual rolling force of multiple passes. The rolling force is distributed by optimizing the reduction rate distribution coefficient, the rationality of the distribution is improved, and the rolling effect and the technical effect of rolling flexibility are improved, thereby solving the problem in the related technology that only the reduction rate is distributed when designing the rolling process, and the rolling force of the pass is not considered, resulting in unreasonable distribution, poor rolling effect and insufficient flexibility.

[0018] The reduction rate distribution coefficient is determined according to the on-site process requirements, and the rolling force distribution coefficient is calculated through the offline model and input into the rolling mill to complete the calculation of the rough rolling schedule. This effectively combines the on-site process with the theoretical calculation of the rolling schedule, and can solve the problem that the rolling mill can only calculate the rolling schedule according to the rolling force distribution coefficient, and the missing rolling force distribution coefficient leads to the inability to distribute the load according to the reduction rate distribution coefficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0020] Figure 1 is a flow chart of a rolling data processing method of a rolling mill provided according to an embodiment of the present application;

[0021] Figure 2 is a flow chart of a method for converting a rough rolling reduction strategy provided in accordance with an embodiment of the present application;

[0022] Figure 3 is a flow chart of a method for determining a reduction ratio distribution coefficient according to an embodiment of the present application;

[0023] Figure 4 is a flow chart of a method for determining the actual deformation amount of each pass provided in an embodiment of the present application;

[0024] Figure 5 It is a flow chart of a method for determining a deformation resistance formula and a friction influence coefficient of a rolling object provided in an embodiment of the present application;

[0025] Figure 6 is a flow chart of a method for determining actual rolling force of multiple passes provided in an embodiment of the present application;

[0026] Figure 7 is a flow chart of a method for determining a rolling force distribution coefficient provided in accordance with an embodiment of the present application;

[0027] Figure 8 is a schematic diagram of a rolling data processing device of a rolling mill provided according to an embodiment of the present application;

[0028] Fig. 9 It is a schematic diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0029] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0030] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] The present invention is described below in conjunction with preferred implementation steps. Figure 1 is a flow chart of a rolling data processing method of a rolling mill provided in an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0033] Step S101, determining actual deformation amounts of multiple passes according to the total rolling passes of the rolling mill, the reduction ratio distribution coefficient, and the actual total rolling deformation amount;

[0034] Step S102, calculating actual rolling forces of multiple passes according to material parameters of the rolling object, rolling mill parameters and actual deformation amounts of multiple passes;

[0035] Step S103, when the actual rolling force of the multiple passes meets the preset rolling force requirement, the rolling force distribution coefficients of the multiple passes of the rolling mill are determined according to the actual rolling force of the multiple passes.

[0036] Through the above steps, the reduction rate distribution coefficient is given according to the on-site process requirements, the actual deformation of multiple passes is calculated, and the actual rolling force is calculated according to the actual deformation, and then the rolling force distribution coefficient is calculated by the actual rolling force of multiple passes. The reduction rate distribution coefficient of the rolling process of the rolling mill is effectively combined with the rolling force distribution calculation calculated by the rolling procedure, so as to achieve the purpose of accurately calculating the rolling force distribution coefficient, and improve the calculation efficiency of the rolling force distribution coefficient. In addition, the rolling force of the rolling mill is distributed in combination with the reduction rate distribution and the rolling force distribution, so as to improve the rationality of the distribution, and then improve the rolling effect, and the technical effect of rolling flexibility, thereby solving the problem that in the related technology, only the reduction rate distribution is performed when designing the rolling process, and the rolling force of the pass is not considered, and there is unreasonable distribution, resulting in poor rolling effect and insufficient flexibility.

[0037] The reduction rate distribution coefficient is determined according to the on-site process requirements, and the rolling force distribution coefficient is calculated through the offline model and input into the rolling mill to complete the calculation of the rough rolling schedule, effectively combining the on-site process with the theoretical calculation of the rolling schedule. For the rolling mill that can only input the rolling force distribution coefficient, the conversion of the reduction rate distribution coefficient to the rolling force distribution coefficient can be realized, so as to obtain the required reduction rate distribution. It can solve the problem that the rolling mill can only calculate the rolling schedule according to the rolling force distribution coefficient, and the lack of the rolling force distribution coefficient leads to the inability to distribute the load according to the reduction rate distribution coefficient.

[0038] The execution subject of the above steps can be a processor, a calculator, a server, etc., a device with data computing and data analysis and processing capabilities. In addition, it can also be a device with the above-mentioned devices with data computing, analysis and processing capabilities, for example, a computer with a processor, a smart phone, a wearable device, etc., a data system with a server, a computing system, etc. The above-mentioned execution subject can be a control device of a rolling mill, which can control the rolling mill and calculate and determine the rolling schedule of the rolling mill according to the rolling process of the rolling object and the equipment parameters of the rolling mill.

[0039] In the above step S101, the actual deformation of multiple passes is determined according to the total rolling passes of the rolling mill, the reduction ratio distribution coefficient, and the actual total rolling deformation. Multiple calculation steps may be included to achieve the determination of the actual deformation of multiple passes. Optionally, determining the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total rolling deformation includes: determining the limit reduction of the rolling mill according to the maximum bite angle and the roller radius of the rolling mill; determining the total rolling passes according to the limit reduction, the steel bite safety factor and the actual total rolling deformation; determining the reduction rate distribution coefficient according to a preset reduction rate limiting condition; determining the reduction rate of each pass according to the reduction rate distribution coefficient; determining the reference reduction rate, as well as the actual reduction rate and actual deformation of each pass according to the reduction rate of each pass; when the actual deformation of each pass does not meet the deformation requirement, adjusting the reduction rate distribution coefficient, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limiting condition; re-determining the actual deformation and the actual reduction rate according to the adjusted reduction rate distribution coefficient until the actual deformation meets the deformation requirement.

[0040] The above-mentioned total rolling passes can be determined according to the rolling process, but considering the actual working capacity of the rolling mill, when determining the total rolling passes, the hardware parameters of the rolling mill are mainly considered, that is, the rolling capacity of a single pass that the rolling mill can achieve. Specifically, when determining the total rolling passes of the rolling mill, the limit reduction of the rolling mill can be determined according to the maximum bite angle of the rolling mill and the roller radius; the total rolling passes are determined according to the limit reduction, the bite steel safety factor and the actual total rolling deformation. Thereby, the rationality of the total rolling passes is guaranteed, so that the determined total rolling passes can be effectively executed by the rolling mill.

[0041] Specifically, the entrance thickness H1 and exit thickness h1 of the rough rolling process are obtained. N , the total variable Δh=H1-h N ; In order to ensure that the strip steel of each pass bites into the rolling mill normally, it is necessary to limit the total rolling pass N and reasonably distribute the deformation of each pass. The average deformation Δh / N is required <aΔh max , where a is the safety factor of steel biting, generally 0.6 to 0.8, Δh max It represents the limit reduction, which is determined by the steel biting condition and is calculated according to the following formula:

[0042]

[0043] Where θ is the maximum bite angle of the roughing mill and R is the roller radius.

[0044] The above reduction ratio distribution coefficient, that is, the reduction ratio distribution coefficient of each pass, is determined according to the process requirements and needs to meet the preset reduction ratio limit conditions. For example, the reduction ratio distribution coefficient is limited to 0.5≤αi ≤1.5, α i (i=1~N) is the reduction rate distribution coefficient, which ensures that the difference in reduction rate distribution of each pass is not too large, avoiding the problem of large difference in reduction rate of different passes, which leads to uncoordinated rolling and unstable production.

[0045] The reduction rate of each pass can be determined according to the reduction rate distribution coefficient. i Satisfy the proportional relationship ε i+1 / ε i =α i+1 / α i , define the base reduction rate as ε m , and the reduction rate of each pass ε is obtained i is: i =ε m α i ; According to the reduction rate of each pass, determine the benchmark reduction rate ε m , as well as the actual reduction rate and actual deformation of each pass.

[0046] Specifically, the rough rolling reduction ratio ε of the i-th pass is i The relationship between the inlet thickness Hi and the outlet thickness hi is: By transforming the formula and inserting ε i =ε m α i ,get: Multiply the above formula N times to get: Solving the above formula, we can get the base reduction rate ε m , and then calculate the actual reduction rate ε of each pass i =ε m α i And the actual outlet thickness h i , and then the actual deformation of this pass is calculated through the actual outlet thickness of the previous pass and the actual outlet thickness of this pass.

[0047] After the actual deformation amount of each pass is determined, the calculated actual deformation amount of each pass is tested according to the deformation amount requirement. When the actual deformation amount of each pass does not meet the deformation amount requirement, the reduction rate distribution coefficient is adjusted, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limitation condition; based on the adjusted reduction rate distribution coefficient, the actual deformation amount and the actual reduction rate are re-determined until the actual deformation amount meets the deformation amount requirement.

[0048] Specifically, the actual reduction amount Δh for each pass i Determine whether the inequality Δh is satisfied i ≤Δh max , where the pass reduction Δh i =Hi -h i , Δh max is the limit reduction. If the inequality does not hold, that is, the actual deformation of each pass does not meet the deformation requirement, the reduction rate distribution coefficient is optimized again. The optimization method is as follows: Find the failure reduction Δh error The corresponding initial reduction rate distribution coefficient α 0error , let α 0error =α 0error *0.95, after the parameters are corrected, repeat the calculation process of the rough rolling reduction rate. If the inequality holds, that is, the actual deformation of each pass meets the deformation requirement, then the actual reduction rate of each pass ε is output i And the outlet thickness h i . It is used for subsequent calculation of actual rolling force.

[0049] In the above step S102, the actual rolling force of multiple passes is calculated according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of multiple passes. In fact, the actual rolling force is solved according to the calculated actual deformation, and the parameters of the rolling schedule are determined from the two perspectives of deformation and rolling force, for example, the reduction rate distribution coefficient or the rolling force distribution coefficient. In this embodiment, since the actual deformation needs to be determined according to the reduction rate distribution coefficient, the reduction rate distribution coefficient is optimized and determined to achieve the purpose of designing the rolling schedule from the two perspectives of deformation and rolling force.

[0050] Optionally, calculating the actual rolling force of multiple passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of multiple passes includes: determining the deformation resistance formula and the friction influence coefficient formula of the rolling object according to the material parameters of the rolling object, wherein the deformation resistance formula and the friction influence coefficient formula are both calculated through the deformation of the corresponding pass; determining the functional relationship between the actual rolling force and multiple variables according to the actual deformation, the rolling mill parameters, and the rolling force calculation model, wherein the rolling force calculation model includes the deformation resistance formula and the friction influence coefficient formula, and the multiple variables include the actual deformation corresponding to the actual rolling force, and the iteration variables of each pass; determining the functional relationship between the iteration variables and the actual rolling force and the actual deformation; substituting the functional relationship of the actual rolling force into the functional relationship of the iteration variables for iteration until the iteration stop condition is met, and determining the actual rolling force of each pass.

[0051] The deformation resistance formula and friction influence coefficient formula of the rolling object are determined according to the material parameters of the rolling object. The deformation resistance formula and friction influence coefficient formula are calculated by the deformation amount of the corresponding pass. The deformation resistance formula and friction influence coefficient of the material of the rolling object can be obtained through simulation experiments. That is, the deformation resistance formula and friction influence coefficient of a certain material can be determined through multiple experiments.

[0052] Specifically, first determine the deformation resistance formula as Wherein, T is the deformation temperature, which is set by the thermal simulation test machine; e is the true strain, which can be calculated by the logarithmic strain formula e=ln(H / h), H is the inlet thickness, and h is the outlet thickness; The strain rate can be expressed by the formula Calculate, where v R is the roller speed, lc′ is the contact arc length when the roller is elastically flattened, Parameters can also be set through a thermal simulation test machine; a, b, c, d, and n are model coefficients. For the specified steel type of the rolling object, the deformation resistance value at different deformation temperatures and strain rates is obtained through thermal simulation experiments, and multiple sets of data are used according to the deformation resistance formula structure. By performing multivariate nonlinear regression, the model coefficient of the steel grade can be obtained. Then, based on the model coefficient, the deformation resistance formula corresponding to the material of the rolling object can be determined.

[0053] The friction coefficient Q p It can be calculated by empirical formula: Where l c ' is the contact arc length when the roller is elastically flattened, R′ represents the roller radius after elastic flattening.

[0054] The above-mentioned functional relationship between the actual rolling force and multiple variables is determined based on the actual deformation, rolling mill parameters, and rolling force calculation model, wherein the rolling force calculation model includes a deformation resistance formula and a friction force influence coefficient formula, and multiple variables include the actual deformation corresponding to the actual rolling force, and iterative variables of each pass. The above-mentioned iterative variable can be an elastic flattening radius. The above-mentioned rolling force calculation model can be P=Bl c 'Q p βσ, B is the strip width; l c ' is the contact arc length when the roller is elastically flattened, which is determined by the inlet thickness H, outlet thickness h, and elastic flattening radius R'; Q P is the friction coefficient, which is determined by the contact arc length l c′, inlet thickness H, outlet thickness h; β is the intermediate stress influence coefficient, under plane strain state, the value is 1.15; σ is the deformation resistance, which is determined by the deformation temperature T, inlet thickness H, outlet thickness h, roller speed v R , contact arc length l c The functional relationship between the rolling force and the variable in each pass is:

[0055] P i =f(B, T, H i 、h i 、v R , R' i )

[0056] When determining the functional relationship between the iteration variable and the actual rolling force and the actual deformation, the iteration variable may be the roller elastic flattening radius R′, which may be expressed by the following formula: Where R is the initial radius of the roller without considering elastic flattening; m is a constant coefficient related to the material. For steel rollers, the value is generally 1.1×10 -5 MPa -1 The functional relationship between the elastic flattening radius Ri′ of each pass and multiple variables including the actual rolling force and the actual deformation is obtained: R i '=g(R、B、P i , H i 、h i ).

[0057] According to the functional relationship of the iteration variable, the functional relationship of the actual rolling force is brought in for iteration until the iteration stop condition is met to determine the actual rolling force of each pass. Optionally, according to the functional relationship of the iteration variable, the functional relationship of the actual rolling force is brought in for iteration until the iteration stop condition is met to determine the actual rolling force of each pass, including: determining the initial value of the iteration variable of the first pass; according to the initial value and the actual deformation of the first pass, bringing in the functional relationship of the actual rolling force to calculate the actual rolling force; bringing the calculated actual rolling force into the functional relationship of the iteration variable again to determine the calculated value of the iteration variable; according to the initial value and the calculated value of the iteration variable, determining whether the iteration stop condition is met; if the initial value and the calculated value meet the iteration stop condition, taking the calculated set deformation as the actual rolling force of the first pass, and calculating the actual rolling force of the next pass; if the initial value and the calculated value do not meet the iteration stop condition, taking the calculated value of the iteration variable as the initial value, iteratively calculating the set deformation, and the calculated value of the iteration variable until the initial value and the calculated value of the iteration variable meet the iteration stop condition.

[0058] Specifically, the initial value of the first pass elastic flattening radius iteration R1″=R can be set first, and the h1 calculated above is substituted into the rolling force calculation formula to obtain the first pass preset rolling force: P1=f(B, T, H1, h1, v R , R″1), P1 is substituted into the formula of elastic flattening radius R′, and the elastic flattening radius of the first pass is calculated: R'1=g(R, B, P1, H1, h1), and it is determined whether the iteration stop condition is met: |R'1-R″1|≤Δ, Δ is the iteration allowable value. If the inequality does not hold, the iteration radius R1″ is corrected to R1″=R1′, the preset rolling force P1 of the first pass is recalculated, and the next round of iteration is started until the inequality holds, and finally the actual rolling force P1 of the first pass is output. Repeat the above steps to calculate the actual rolling force P1 of N passes in sequence. i .

[0059] In the above step S103, when the actual rolling force of multiple passes meets the preset rolling force requirement, the rolling force distribution coefficient of multiple passes of the rolling mill is determined according to the actual rolling force of multiple passes. Whether the distribution of the actual rolling force is reasonable can be detected by the preset rolling force requirement, so that the distribution of the rolling force can be considered after the reduction rate distribution is considered to improve the rationality of the rolling procedure. For a rolling mill that can only input the reduction rate distribution coefficient, it can be calculated in advance according to the offline model to determine whether the rolling force meets the requirements, and the coefficient can be optimized if the rolling force does not meet the requirements.

[0060] Optionally, when the actual rolling force of multiple passes meets the preset rolling force requirement, determining the rolling force distribution coefficient of multiple passes of the rolling mill according to the actual rolling force of multiple passes includes: determining whether the actual rolling force of each pass meets the preset rolling force requirement, wherein the rolling force requirement is a safety value that the actual rolling force does not exceed the maximum design rolling force of the rolling mill; when the actual rolling force of each pass meets the rolling force requirement, determining the rolling force distribution coefficient according to the ratio of the actual rolling forces of multiple passes.

[0061] The above determines whether the actual rolling force of each pass meets the preset rolling force requirement, where the rolling force requirement is a safety value that the actual rolling force does not exceed the maximum design rolling force of the rolling mill, which can be the actual rolling force P of each pass. i Whether the preset rolling force requirements are met: P i ≤bP max To make a judgment, where P max is the design capacity of the rolling mill, b is the safety ratio, generally taken as 0.8, bP maxThis is the safety value of the above-mentioned maximum design rolling force. If it is satisfied, the rolling force distribution coefficients of the rolling mill for multiple passes are determined according to the actual rolling forces of multiple passes. If it is not satisfied, the reduction ratio distribution coefficient is adjusted, and the actual rolling force is re-determined according to the adjusted reduction ratio distribution coefficient until the actual rolling force meets the rolling force requirements.

[0062] When the actual rolling force of each pass meets the rolling force requirement, the rolling force distribution coefficient is determined according to the ratio of the actual rolling forces of multiple passes. The rough rolling force distribution coefficient δ can be calculated i :δ1:…:δ i :…:δ N =P1:…:P i :…:P N .

[0063] Optionally, the method also includes: when the actual rolling force of multiple passes does not meet the preset rolling force requirement, adjusting the reduction rate distribution coefficient; and re-determining the actual deformation and actual rolling force of multiple passes according to the adjusted reduction rate distribution coefficient until the actual rolling force meets the preset rolling force requirement.

[0064] When the actual rolling force of each pass does not meet the rolling force requirements, the reduction ratio distribution coefficient is adjusted and the reduction ratio distribution coefficient is optimized again. The specific optimization method is as follows: i , let α max =α max *0.95, α min =α min *1.05, after correcting the two limit reduction ratio distribution coefficients, recalculate the rolling force distribution coefficient. Then re-execute the above steps to determine the actual rolling force of each pass based on the updated reduction ratio distribution coefficient, and continue to test the actual rolling force through the above rolling force requirements until the actual rolling force meets the rolling force requirements.

[0065] Optionally, after determining the rolling force distribution coefficient based on the ratio of actual rolling forces of multiple passes, the method also includes: determining whether the rolling force distribution coefficient meets a preset distribution requirement, wherein the distribution requirement is that the ratio of the maximum value to the minimum value of the rolling force distribution coefficient does not exceed the preset ratio; if the rolling force distribution coefficient meets the distribution requirement, outputting the rolling force distribution coefficient; if the rolling force distribution coefficient does not meet the distribution requirement, adjusting the reduction rate distribution coefficient, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limitation condition; and redetermining the rolling force distribution coefficient based on the adjusted reduction rate distribution coefficient until the rolling force distribution coefficient meets the distribution requirement.

[0066] In order to ensure rolling stability, the rolling force of each pass is distributed as evenly as possible, so the rolling force distribution coefficient δ i The following inequality needs to be satisfied: max / δ min ≤1.5, the inequality does not hold, then re-optimize the reduction ratio distribution coefficient and set α max =α max *0.95, α min =α min *1.05, recalculate the rough rolling force distribution coefficient. If the inequality holds, the final rough rolling force distribution coefficient δ is output i .

[0067] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0068] It should be noted that the present application also provides an optional implementation, which is described in detail below.

[0069] This embodiment provides a method for converting the reduction rate distribution coefficient to the rolling force distribution coefficient. The reduction rate distribution coefficient is given according to the on-site process requirements, and the rolling force distribution coefficient is calculated by the offline model, and substituted into the rough rolling secondary system to complete the calculation of the rough rolling schedule. This method effectively combines the on-site process with the theoretical calculation of the rough rolling schedule, has certain practicality, and has certain reference value for industrial production. The method completes the calculation of the actual reduction rate and outlet thickness of each pass according to the reduction rate distribution coefficient; and calculates the actual rolling force of each pass through the rolling force model iteration, and outputs the rough rolling force distribution coefficient. The method can also adjust and optimize the reduction rate distribution coefficient according to the reduction amount and rolling force judgment results. An offline conversion model for the rough rolling reduction strategy was developed through the python operating environment. After obtaining the reduction rate distribution coefficient, the corresponding rolling force distribution coefficient can be quickly calculated and provided for on-site use, which has certain flexibility.

[0070] Figure 2 is a flow chart of a method for converting a rough rolling reduction strategy according to an embodiment of the present application, such as Figure 2 As shown, the technical solution provided by this embodiment is as follows:

[0071] S1. Determine the total rolling pass N and rough rolling reduction ratio distribution coefficient α1 according to on-site control requirements: ···: α i :···:α N , which is simplified to α i (i=1~N) indicates;

[0072] S2, according to the rough rolling entrance thickness H1, exit thickness h N and the reduction ratio distribution coefficient α i Solve to get the actual exit thickness h of each pass i ;

[0073] S3. For specific steel types, obtain the deformation resistance equation σ through thermal simulation experiments and calculate the friction influence coefficient Q p ;

[0074] S4. Through the rolling force model P = Bl c 'Q p The actual rolling force P of each pass is calculated by βσ iteration i ;

[0075] S5. Determination of rolling force results and output of actual rolling force distribution coefficient δ1:···:δ i :···:δ N , which is simplified to δ i (i=1~N) indicates;

[0076] S6. With the help of Python operating environment, an offline conversion model of the reduction strategy is developed. After obtaining the reduction rate distribution coefficient, the quick conversion of the rough rolling force distribution coefficient can be completed.

[0077] Figure 3 is a flow chart of a method for determining a reduction ratio distribution coefficient according to an embodiment of the present application. The specific process of step S1 is as follows: Figure 3 As shown, the following steps are included:

[0078] S11, obtaining the entrance thickness H1 and exit thickness h of the rough rolling process N , the total variable Δh=H1-h N ;

[0079] S12. To ensure that the strip steel of each pass can normally bite into the rolling mill, it is necessary to limit the total rolling pass N and reasonably distribute the reduction of each pass. The average reduction Δh / N is required <aΔh max , a is the safety factor of steel biting, generally 0.6 to 0.8. Δh max It represents the limit reduction, which is determined by the steel biting condition and is calculated according to the following formula:

[0080]

[0081] Where R is the radius of the working roll; θ is the maximum bite angle of the roughing mill.

[0082] S13. Determine the rough rolling reduction ratio distribution coefficient α according to the on-site process requirements i(i=1~N). Since the difference in the reduction ratio distribution of each pass should not be too large, the reduction ratio distribution coefficient is limited to 0.5≤α i ≤1.5.

[0083] Figure 4 is a flow chart of a method for determining the actual deformation amount of each pass provided in an embodiment of the present application. The specific process of the above step S2 is as follows: Figure 4 As shown, the following steps are included:

[0084] S21, each pass reduction rate ε i Satisfy the proportional relationship ε i+1 / ε i =α i+1 / α i , define the base reduction rate as ε m , and the reduction rate of each pass ε is obtained i for:

[0085] ε i =ε m α i

[0086] Among them, the rough rolling reduction rate ε of the i-th pass i With the inlet thickness H i , outlet thickness h i Satisfaction relationship:

[0087]

[0088] By transforming the formula and inserting ε i =ε m α i ,get:

[0089]

[0090] Multiply the above formula N times to get:

[0091]

[0092] Solving the above formula, we can get the base reduction rate ε m , and then calculate the actual reduction rate ε of each pass i =ε m α i And the outlet thickness h i .

[0093] S22, the actual reduction amount Δh for each pass i Determine whether the inequality Δh is satisfied i ≤Δh max , where the pass reduction Δh i =H i-h i , Δh max is the limit pressure reduction.

[0094] If the inequality does not hold, return to S13 to re-optimize the reduction ratio distribution coefficient. The optimization method is as follows:

[0095] Find the failure depression Δh error The corresponding initial reduction rate distribution coefficient α 0error , let α 0error =α 0error *0.95, after the parameters are corrected, repeat the calculation process of the rough rolling reduction rate.

[0096] If the inequality holds, output the actual reduction rate ε of each pass i And the outlet thickness h i .

[0097] Figure 5 is a flow chart of a method for determining a deformation resistance formula of a rolling object and a friction influence coefficient according to an embodiment of the present application. The specific process of the above step S3 is as follows: Figure 5 As shown, the following steps are included:

[0098] S31, using deformation resistance formula structure Where T is the deformation temperature, which is set by the thermal simulation test machine; e is the true strain, which can be calculated by the logarithmic strain formula e=ln(H / h), H is the inlet thickness, and h is the outlet thickness; The strain rate can be expressed by the formula Calculate, where v R is the roller speed, lc′ is the contact arc length when the roller is elastically flattened, Parameters can also be set through a thermal simulation test machine; a, b, c, d, and n are model coefficients.

[0099] S32. For the specified steel type, the deformation resistance values ​​at different deformation temperatures and strain rates are obtained through thermal simulation experiments. Multiple sets of data are used according to the deformation resistance formula structure. By performing multivariate nonlinear regression, the model coefficients of this steel grade can be obtained.

[0100] S33, friction influence coefficient Q p It can be calculated by empirical formula:

[0101]

[0102] Where lc′ is the contact arc length when the roller is elastically flattened. R′ represents the roller radius after elastic flattening.

[0103] Figure 6 is a flow chart of a method for determining actual rolling force of multiple passes provided in an embodiment of the present application. The specific process of the above step S4 is as follows: Figure 6 As shown, the following steps are included:

[0104] S41. For the rolling force model P=Bl c 'Q p βσ, B is the strip width; lc′ is the contact arc length when considering the elastic flattening of the roller, which is determined by the entrance thickness H, the exit thickness h, and the elastic flattening radius R′; Q P is the friction coefficient, which is determined by the contact arc length lc′, the inlet thickness H, and the outlet thickness h; β is the intermediate stress coefficient, which is 1.15 under the plane strain state; σ is the deformation resistance, which is determined by the deformation temperature T, the inlet thickness H, the outlet thickness h, and the roller speed v R , contact arc length lc′. Based on the above conditions, the functional relationship between the rolling force and the variable in each pass can be obtained:

[0105] P i =f(B, T, H i 、h i 、v R , R' i )

[0106] S42. The elastic flattening radius R' of the roller can be expressed by the following formula:

[0107]

[0108] In the formula, R is the initial radius of the roller without considering elastic flattening; m is a constant coefficient related to the material. For steel rollers, it is generally taken as 1.1×10-5MPa-1. The elastic flattening radius R of each pass is obtained i The functional relationship between ′ and variables:

[0109] R i '=g(R、B、P i , H i 、h i )

[0110] S43, setting the initial value of the first pass elastic flattening radius iteration R1″=R, and bringing the previously calculated h1 into the rolling force calculation formula to obtain the first pass preset rolling force:

[0111] P1=f(B、T、H1、h1、v R , R″1)

[0112] Substitute P1 into the formula of elastic flattening radius R′ and calculate the first pass elastic flattening radius:

[0113] R'1=g(R、B、P1、H1、h1)

[0114] Determine whether |R'1-R″1|≤Δ, where Δ is the allowed value of iteration. If the inequality does not hold, correct the iteration radius R1″ to R1″=R1′, recalculate the preset rolling force P1 of the first pass, and start the next round of iteration until the inequality holds, and finally output the actual rolling force P1 of the first pass.

[0115] S44, repeat step S43 to calculate the actual rolling force P of N passes in sequence i .

[0116] Figure 7 is a flow chart of a method for determining a rolling force distribution coefficient according to an embodiment of the present application. The specific process of step S5 is as follows: Figure 7 As shown, the following steps are included:

[0117] S51, the actual rolling force P of each pass i Determine whether the inequality P is satisfied i ≤bP max , P max is the design capacity value of the rolling mill, and b is the safety value, which is generally 0.8. If the judgment fails, return to S13 to re-optimize the reduction ratio distribution coefficient. The specific optimization method is as follows:

[0118] For the reduction ratio distribution coefficient α i , let α max =α max *0.95, α min =α min *1.05, after correcting the two limit reduction ratio distribution coefficients, the rough rolling force distribution coefficient is recalculated.

[0119] If the judgment is successful, the rough rolling force distribution coefficient δ is calculated i :

[0120] δ1:...:δ i :...:δ N =P1:...:P i :... :P N

[0121] In order to ensure rolling stability, the rolling force of each pass is distributed as evenly as possible, so the rolling force distribution coefficient δ i The following inequalities need to be satisfied:

[0122] δ max / δ mmin ≤1.5

[0123] The inequality does not hold, return to S13 and re-optimize the reduction ratio distribution coefficient, setting αmax =α max *0.95, α min =α min *1.05, recalculate the rough rolling force distribution coefficient.

[0124] If the inequality holds, the final rough rolling force distribution coefficient δ is output i .

[0125] The above step S6 comprises the following steps:

[0126] With the help of Python operating environment, an offline conversion model of rough rolling reduction strategy is developed. After obtaining the reduction rate distribution coefficient, rough rolling entrance thickness, rough rolling exit thickness, roll radius, roll speed, deformation temperature, strip width, and deformation resistance curve equation, the rough rolling reduction rate distribution coefficient can be quickly converted to the rough rolling rolling force distribution coefficient, and it can be provided for on-site use with a certain degree of flexibility.

[0127] For example, in a 1450 hot rolled coil production line, the inlet thickness of the rough rolling unit is 190mm, and the outlet thickness is 48mm, that is, the total rough rolling reduction Δh is (190-48) = 142mm. The relevant parameters of the rough rolling unit are shown in Table 1. Table 1 is a table of relevant parameters of the rough rolling unit. According to the steel bite formula:

[0128]

[0129] The rough rolling limit reduction Δh is calculated max ≈45mm. Define the safety bite coefficient a=0.7, according to the inequality Δh / N<aΔh max , calculate the minimum allowable total rolling passes N = 5.

[0130] Table 1 Roughing mill related parameters

[0131] parameter Roller radius R Maximum bite angle θ Safety factor of steel biting Numeric 500mm 18° 0.7

[0132] Given the rough rolling reduction rate distribution coefficient, as shown in Table 2, Table 2 is a table of given rough rolling reduction rate distribution coefficients. Definition of the base reduction rate ζ m , according to the reduction ratio distribution coefficient α i The preset reduction rate per pass is ζ1 = 0.98ε m ; ζ2=1.05ζ m ; ζ3=1.05ζ m ; ζ4=1.29ζ m ; ζ5=0.73ζ m Substitute the reduction rate into the following formula to solve the calculation:

[0133]

[0134] Calculate the base reduction rate ζ m =23.48%, and output the load distribution table of each rough rolling pass in sequence, as shown in Table 3. Table 3 is the load distribution table of each rough rolling pass.

[0135] Table 2 Distribution coefficient table for given rough rolling reduction rate

[0136] <![CDATA[P1]]> <![CDATA[P2]]> <![CDATA[P3]]> <![CDATA[P4]]> <![CDATA[P5]]> <![CDATA[Reduction ratio distribution coefficient α i > 0.98 1.05 1.05 1.29 0.73

[0137] Table 3 Load distribution table for each pass of rough rolling

[0138] path <![CDATA[P1]]> <![CDATA[P2]]> <![CDATA[P3]]> <![CDATA[P4]]> <![CDATA[P5]]> Entrance thickness / mm 190 146.46 110.41 83.14 57.92 Export thickness / mm 146.46 110.41 83.14 57.92 48 Pressing amount / mm 43.54 36.05 27.27 25.22 9.92 Reduction rate / % 22.92％ 24.61％ 24.70％ 30.33％ 17.13％

[0139] Since the maximum pass reduction satisfies the inequality Δh1=43.54≤Δh max =45, so there is no need to re-correct the reduction rate distribution coefficient.

[0140] For the deformation resistance equation Since the model is a nonlinear equation, it can be transformed into a multivariate linear equation mechanism by replacing variables. Taking the logarithm on both sides of the equation, we get:

[0141]

[0142] Let y = lnσ, x1 = T, x4=Tlne, then the above equation is transformed into a linear equation:

[0143] y=a+bx1+cx2+dx3+nx4

[0144] The deformation resistance values ​​at different deformation temperatures and strain rates were obtained through thermal simulation experiments. The above data were processed by multivariate linear regression using the least squares method using python software, and all unknown parameter values ​​were determined to be a=8.3388, b=-0.0035, c=1.5698, d=-0.0017, and n=0.2516. Therefore, the deformation resistance equation is:

[0145]

[0146] Considering the friction coefficient Q p After that, the final rolling force calculation formula is obtained:

[0147] Where B is the strip width, which is 1250 mm, R' is the radius of the elastic flattening roller, H is the entry thickness of each pass, h is the exit thickness of each pass, T is the deformation temperature, is the strain rate, and e is the relative strain. Since R' is an unknown quantity, it needs to be solved by iteration, where the calculation formula of R' is:

[0148]

[0149] Where R is the initial radius of the roller without considering elastic flattening; m is a constant coefficient with a value of 1.1×10-5MPa-1, and P is the rolling force of this pass.

[0150] For the first pass, let the elastic flattening initial radius R″=R=500mm, and substitute h1=146.46mm into the rolling force calculation formula to obtain the first pass rolling force P1. Substitute P1 into the elastic flattening radius formula to calculate R′, and judge |R′ i -R″ i |≤Δ, if the inequality does not hold, let R″=R′ i , return to re-iterate the calculation of P1 until the inequality is satisfied, and output the first rolling force P1.

[0151] Repeat the above steps to solve the remaining rolling forces. Since the maximum rolling force P4 = 20385.3 kN ≤ 0.8P max =32000kN, which meets the judgment condition, so the reduction ratio distribution coefficient does not need to be revised. The output rolling force distribution coefficient is shown in Table 4, which is the output rolling force distribution coefficient table. max / δ min =1.17 / 1=1.17≤1.5, which meets the judgment condition.

[0152] Table 4 Output rolling force distribution coefficient table

[0153] path <![CDATA[P1]]> <![CDATA[P2]]> <![CDATA[P3]]> <![CDATA[P4]]> <![CDATA[P5]]> Rolling force / kN 17399.2 18074.5 18356.8 20385.3 19792.6 <![CDATA[Rolling force distribution coefficient δ i > 1.00 1.04 1.06 1.17 1.14

[0154] The rolling force distribution coefficient is input into the secondary computer system to calculate the rough rolling schedule. The actual reduction rate and the target reduction rate error values ​​are shown in Table 5. Table 5 is a data table of the error values ​​of the actual reduction rate and the target reduction rate. The error values ​​of each pass are controlled within 5%, indicating that the reduction strategy conversion method has high accuracy and has certain reference value for on-site production.

[0155] Table 5 Error data of actual pressing rate and target pressing rate

[0156] path <![CDATA[P1]]> <![CDATA[P2]]> <![CDATA[P3]]> <![CDATA[P4]]> <![CDATA[P5]]> Target reduction rate / % 22.92 24.61 24.70 30.33 17.13 Actual reduction rate / % 23.62 25.34 23.23 30.22 17.30 error / % 3.1％ 2.9％ 5.9％ 0.4％ 1.0％

[0157] The embodiment of the present application also provides a rolling data processing device for a rolling mill. It should be noted that the rolling data processing device for a rolling mill in the embodiment of the present application can be used to execute the rolling data processing method for a rolling mill provided in the embodiment of the present application. The rolling data processing device for a rolling mill provided in the embodiment of the present application is introduced below.

[0158] Figure 8is a schematic diagram of a rolling data processing device for a rolling mill provided according to an embodiment of the present application, such as Figure 8 As shown, the device includes: a deformation amount determination module 81, a rolling force determination module 82, and a distribution coefficient determination module 83. The device is described in detail below.

[0159] The deformation determination module 81 is used to determine the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction rate distribution coefficient, and the actual total rolling deformation; the rolling force determination module 82 is connected to the above-mentioned deformation determination module 81, and is used to calculate the actual rolling forces of multiple passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation of the multiple passes; the distribution coefficient determination module 83 is connected to the above-mentioned rolling force determination module 82, and is used to determine the rolling force distribution coefficients of the multiple passes of the rolling mill according to the actual rolling forces of the multiple passes when the actual rolling forces of the multiple passes meet the preset rolling force requirements.

[0160] The rolling data processing device of the rolling mill provided in the embodiment of the present application gives a reduction ratio distribution coefficient according to the on-site process requirements, calculates the actual deformation of multiple passes, and calculates the actual rolling force according to the actual deformation, and then calculates the rolling force distribution coefficient through the actual rolling force of multiple passes. The reduction ratio distribution coefficient of the rolling process of the rolling mill is effectively combined with the rolling force distribution calculation calculated by the rolling procedure, so as to achieve the purpose of accurately calculating the rolling force distribution coefficient, and improve the calculation efficiency of the rolling force distribution coefficient. In addition, the rolling force of the rolling mill is distributed in combination with the reduction ratio distribution and the rolling force distribution, so as to improve the rationality of the distribution, and then improve the rolling effect, and the technical effect of rolling flexibility, and then solve the problem in the related technology that when designing the rolling process, only the reduction ratio distribution is performed, and the rolling force of the pass is not considered, and there is unreasonable distribution, resulting in poor rolling effect and insufficient flexibility.

[0161] The rolling data processing device of the rolling mill includes a processor and a memory. The deformation determination module 81, rolling force determination module 82, distribution coefficient determination module 83, etc. are all stored in the memory as program units, and the processor executes the above program units stored in the memory to realize corresponding functions.

[0162] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set. By adjusting the kernel parameters, the problem in the related technology that only the reduction rate is allocated when designing the rolling process, and the rolling force of the pass is not considered, resulting in unreasonable allocation, poor rolling effect, and insufficient flexibility is solved.

[0163] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0164] An embodiment of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the rolling data processing method of the rolling mill is implemented.

[0165] An embodiment of the present invention provides a processor, which is used to run a program, wherein the rolling data processing method of the rolling mill is executed when the program is run.

[0166] Fig. 9 is a schematic diagram of an electronic device provided according to an embodiment of the present application, such as Fig. 9 As shown, an embodiment of the present application provides an electronic device 90, which includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the steps of any of the above methods when executing the program.

[0167] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0168] The present application also provides a computer program product, which, when executed on a rolling data processing device of a rolling mill, is suitable for executing a program initialized with any of the above method steps.

[0169] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0170] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable rolling mill data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable rolling mill data processing device generate instructions for implementing the processes in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0171] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable rolling mill data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0172] These computer program instructions can also be loaded onto a computer or other programmable rolling mill data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0173] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0174] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0175] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0176] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0177] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0178] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A rolling data processing method for a rolling mill, characterized in that: include: Determine the actual deformation of multiple passes according to the total rolling passes of the rolling mill, the reduction ratio distribution coefficient, and the actual total rolling deformation; Calculating actual rolling forces of the plurality of passes according to material parameters of the rolling object, rolling mill parameters and actual deformation amounts of the plurality of passes; When the actual rolling force of the plurality of passes meets the preset rolling force requirement, determining the rolling force distribution coefficient of the plurality of passes of the rolling mill according to the actual rolling force of the plurality of passes; In the case where the actual rolling forces of the plurality of passes meet the preset rolling force requirements, before determining the rolling force distribution coefficients of the plurality of passes of the rolling mill according to the actual rolling forces of the plurality of passes, the method further comprises: Determining whether the actual rolling force of each pass meets a preset rolling force requirement, wherein the rolling force requirement is a safety value that the actual rolling force does not exceed the maximum design rolling force of the rolling mill; When the actual rolling force of each pass meets the rolling force requirement, the rolling force distribution coefficient is determined according to the ratio of the actual rolling forces of multiple passes; The method further comprises: When the actual rolling force of multiple passes does not meet the preset rolling force requirement, adjusting the reduction ratio distribution coefficient; Re-determining the actual deformation amount and the actual rolling force of the plurality of passes according to the adjusted reduction ratio distribution coefficient until the actual rolling force meets the preset rolling force requirement; After determining the rolling force distribution coefficient according to the ratio of actual rolling forces of a plurality of passes, the method further comprises: Determining whether the rolling force distribution coefficient meets a preset distribution requirement, wherein the distribution requirement is that the ratio of the maximum value to the minimum value of the rolling force distribution coefficient does not exceed a preset ratio; When the rolling force distribution coefficient meets the distribution requirement, outputting the rolling force distribution coefficient; When the rolling force distribution coefficient does not meet the distribution requirement, the reduction rate distribution coefficient is adjusted, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limiting condition; The rolling force distribution coefficient is re-determined according to the adjusted reduction rate distribution coefficient until the rolling force distribution coefficient meets the distribution requirement.

2. The method according to claim 1, characterized in that: According to the total rolling passes of the rolling mill, the reduction ratio distribution coefficient, and the actual total rolling deformation, the actual deformation of multiple passes is determined, including: Determining the limit reduction of the rolling mill according to the maximum bite angle and roll radius of the rolling mill; Determining the total rolling passes according to the limit reduction, the steel biting safety factor and the actual total rolling deformation; Determining the reduction rate distribution coefficient according to a preset reduction rate limiting condition; Determining the reduction rate of each pass according to the reduction rate distribution coefficient; According to the reduction rate of each pass, determine the reference reduction rate, as well as the actual reduction rate and actual deformation of each pass; When the actual deformation amount of each pass does not meet the deformation amount requirement, the reduction ratio distribution coefficient is adjusted, wherein the adjusted reduction ratio distribution coefficient meets the reduction ratio limiting condition; According to the adjusted reduction rate distribution coefficient, the actual deformation amount and the actual reduction rate are re-determined until the actual deformation amount meets the deformation amount requirement.

3. The method according to claim 2, characterized in that Calculating the actual rolling forces of the plurality of passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation amounts of the plurality of passes comprises: Determine the deformation resistance formula and the friction influence coefficient formula of the rolling object according to the material parameters of the rolling object, wherein the deformation resistance formula and the friction influence coefficient formula are both calculated by the deformation amount of the corresponding pass; Determine the functional relationship between the actual rolling force and multiple variables according to the actual deformation, the rolling mill parameters, and the rolling force calculation model, wherein the rolling force calculation model includes the deformation resistance formula and the friction force influence coefficient formula, and the multiple variables include the actual deformation corresponding to the actual rolling force and the iteration variables of each pass; Determining a functional relationship between the iteration variable and the actual rolling force and the actual deformation; The functional relationship of the actual rolling force is brought into the functional relationship of the iteration variable to perform iteration until an iteration stop condition is met, thereby determining the actual rolling force of each pass.

4. The method according to claim 3, characterized in that: According to the functional relationship of the iteration variable, the functional relationship of the actual rolling force is brought into iterative operation until the iteration stop condition is satisfied, and the actual rolling force of each pass is determined to include: Determine the initial values ​​of the iteration variables for the first pass; According to the initial value, the actual deformation amount of the first pass is brought into the functional relationship of the actual rolling force to calculate the actual rolling force; Substituting the calculated actual rolling force into the functional relationship of the iteration variable to determine the calculated value of the iteration variable; Determining whether an iteration stop condition is satisfied according to the initial value and the calculated value of the iteration variable; When the initial value and the calculated value satisfy the iteration stop condition, the calculated set deformation amount is used as the actual rolling force of the first pass, and the actual rolling force of the next pass is calculated; When the initial value and the calculated value do not satisfy the iteration stop condition, the calculated value of the iteration variable is used as the initial value, and the deformation amount and the calculated value of the iteration variable are iteratively calculated until the initial value and the calculated value of the iteration variable satisfy the iteration stop condition.

5. A rolling data processing device for a rolling mill, characterized in that: include: A deformation amount determination module is used to determine the actual deformation amounts of multiple passes according to the total rolling passes of the rolling mill, the reduction ratio distribution coefficient, and the actual total rolling deformation amount; A rolling force determination module, used to calculate the actual rolling forces of the multiple passes according to the material parameters of the rolling object, the rolling mill parameters and the actual deformation amounts of the multiple passes; A distribution coefficient determination module, configured to determine the rolling force distribution coefficients of the plurality of passes of the rolling mill according to the actual rolling forces of the plurality of passes when the actual rolling forces of the plurality of passes meet the preset rolling force requirements; The device also includes: A rolling force requirement judgment module, used to determine whether the actual rolling force of each pass meets the preset rolling force requirement, wherein the rolling force requirement is a safety value that the actual rolling force does not exceed the maximum design rolling force of the rolling mill; A rolling force distribution coefficient module, used to determine the rolling force distribution coefficient according to the ratio of the actual rolling forces of multiple passes when the actual rolling force of each pass meets the rolling force requirement; The device also includes: A first adjustment module, configured to adjust the reduction ratio distribution coefficient when the actual rolling force of multiple passes does not meet the preset rolling force requirement; A first redetermining module, used for redetermining the actual deformation amount and the actual rolling force of the plurality of passes according to the adjusted reduction ratio distribution coefficient, until the actual rolling force meets the preset rolling force requirement; The device also includes: A distribution requirement determination module, used to determine whether the rolling force distribution coefficient meets a preset distribution requirement, wherein the distribution requirement is that the ratio of the maximum value to the minimum value of the rolling force distribution coefficient does not exceed a preset ratio; An output module, configured to output the rolling force distribution coefficient when the rolling force distribution coefficient meets the distribution requirement; A second adjustment module is used to adjust the reduction rate distribution coefficient when the rolling force distribution coefficient does not meet the distribution requirement, wherein the adjusted reduction rate distribution coefficient meets the reduction rate limiting condition; The second redetermining module is used to redetermine the rolling force distribution coefficient according to the adjusted reduction rate distribution coefficient until the rolling force distribution coefficient meets the distribution requirement.

6. A computer-readable storage medium, characterized in that: The storage medium is used to store a program, wherein the program executes the rolling data processing method of a rolling mill as described in any one of claims 1 to 4.

7. An electronic device, characterized in that: It comprises one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the rolling data processing method of a rolling mill as described in any one of claims 1 to 4.

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