Steel plate multi-rolling forming method capable of detecting curvature radius in real time

Abstract

The invention discloses a steel plate multi-rolling forming method capable of detecting curvature radius in real time, which can perform simulation process simulation on the rolling working condition of a high-strength thick plate through related technologies, optimize the displacement amount of a driving roller of a plate rolling machine and the plate rolling speed in the multi-rolling forming process, and improve the accuracy of plate rolling forming. And the test paper working procedures in the rolling process of unconventional steel plates such as high-strength thick plates can be greatly reduced. And the stress change of the steel plate in the rolling process can be intuitively seen through a simulation analysis result, so that the quality reliability of a steel plate rolled finished product is ensured. The intelligent degree of large traditional industrial equipment such as a plate rolling machine is improved, the personnel investment in the plate rolling process is reduced, and the rolling efficiency and the forming quality of unconventional steel plates such as high-strength thick plates are improved.

Description

Technical Field

[0001] The invention relates to the technical field of steel plate coiling and forming detection, and in particular to a steel plate multiple coiling and forming method for real-time detection of curvature radius. Background Art

[0002] With the continuous implementation of the clean energy development plan, more and more large-scale hydropower stations are being built. The manufacturing and installation of penstocks is an important part of the metal structure construction in the construction of hydropower stations. The precision and efficiency of its manufacturing and installation directly affect the construction period and overall quality of the hydropower station. The traditional penstock rolling uses a ruler to measure the radius after forming. The standard diameter ruler slides on the inner surface of the penstock after forming, and the forming size is compared with the standard ruler size. The gap between the ruler and the inner surface of the penstock is used to judge whether the forming size of the steel pipe is qualified. If the gap between the two exceeds the tolerance and does not meet the specification requirements, the operator needs to adjust the parameters of the plate rolling machine roll by experience to perform rolling and correction until the gap between the two meets the specification requirements. The traditional rolling method requires high operating experience of the plate rolling machine operator, and can only compare and detect the final formed size. For thick plates that need to be rolled multiple times, the operator can only set the plate rolling parameters based on the traditional manual calculation of the rolling parameters, and cannot detect the forming size of the steel plate during the rolling process. In addition, due to the deviation in thickness and mechanical properties of steel plates of the same specification, it is often difficult to achieve standardization of the rolled steel plate dimensions in this way. The traditional pressure steel pipe rolling process has problems such as high operator requirements, low efficiency, poor standardization of forming dimensions, and difficult control of the rolling process. These drawbacks are extremely unfavorable for the production of pressure steel pipe assembly lines. There is an urgent need for a method and device that can detect the multiple rolling forming processes of pressure steel pipes, perform real-time detection of the rolling forming dimensions, and feed back the measurement data to the rolling machine control system, so as to achieve standardization of the final rolling forming dimensions by adjusting the rolling machine parameters.

[0003] The invention patent application with patent publication number CN117161160A discloses a precise rolling method for a CNC four-roller plate rolling machine, including obtaining the performance parameters and process parameters of the plate to be bent and rolled and inputting them into a mathematical model to determine the initial roller position; the side roller moves to the latest roller position and starts rolling; image acquisition and processing are performed through a machine vision system to fit the real-time curvature radius; if the deviation between the real-time curvature radius of the plate and the expected curvature radius is not within the allowable error range, the roller position is corrected according to the deviation and then rolling is continued; after the accuracy is achieved, all precise parameters of the rolling once are stored in a database as a set of data; when a new round of plate rolling is started, when the data volume has not reached the set value, the machine vision method is continued to be used to roll the plate, etc. The present invention can efficiently and accurately realize the bending of the plate, and realize the automation and intelligence of plate bending through a method that integrates machine vision and machine learning algorithms.

[0004] However, this patent is mainly aimed at the detection of steel plates in one rolling process. For high-strength steel and other uncommon materials, especially high-strength steel thick plates, the patent cannot be well applied and promoted. In addition, the patent is not applicable to the multiple rolling conditions of qualified steel plates whose raw materials are within the thickness deviation range allowed by the national standard and have a certain deviation from the theoretical thickness. The steel plate rolling parameter calculation formula used in this patent is a conventional manual calculation formula for rolling, and the calculation result cannot well reflect the springback of the steel plate under the multiple rolling conditions. In addition, the method described in the above patent cannot use the test data results to guide the plate rolling machine to perform multiple rolling forming work. Summary of the invention

[0005] The present invention aims to propose a multiple rolling forming method for steel plates with real-time detection of curvature radius, real-time detection of the rolled plate forming size, and feedback of the measurement data to the rolling machine control system, so as to achieve standardization of the final rolled plate forming size by adjusting the rolling machine parameters.

[0006] In order to achieve the above-mentioned object of the invention, the technical solution of the present invention is as follows:

[0007] A steel plate multiple rolling forming method for real-time detection of curvature radius comprises the following steps:

[0008] 1) The ANSYS LS-DYNA module is used to simulate and analyze the rolling process of steel plates with different plate thicknesses and different forming diameters, and the number of steel plate rollings, the curvature radius of the steel plate after each rolling, and the feed amount of the rolling machine roll during each rolling are obtained;

[0009] The simulation analysis comprises the following steps:

[0010] 1.1 Modeling: Use Inventor 3D software to build a 3D model of the shape and size of the plate rolling machine working roll and rolled steel plate;

[0011] 1.2. Material parameter definition: The main physical properties of the work roll and steel plate are defined in ANSYS workbench, including density, Poisson's ratio, elastic modulus, yield limit and strength limit of the steel plate and work roll;

[0012] The working roll needs to be set as a rigid body in the finite element analysis, but the working roll material also needs to be defined. If there is no relevant material property, the contact stiffness between the materials will be affected, resulting in distorted calculation results.

[0013] 1.3. Pre-processing of model import area: import the three-dimensional model of steel plate and plate rolling machine working roll into ANSYS LS-DYNA module for meshing;

[0014] 1.4. Define contact and constraint information: In the simulation analysis, the contact mode between the working roll and the steel plate is defined according to the surface-to-surface contact in the actual rolling process. In the analysis software, constraints are imposed on each working roll and the steel plate to limit the boundary conditions of the software simulation analysis.

[0015] In the actual process of steel plate rolling, the rollers and the steel plates are in surface contact. In the simulation analysis, the contact mode between the rollers and the steel plates is defined as surface contact. The rollers are driving rollers, and the driving rollers are symmetrical. The actual driving rollers can realize vertical upward movement and rotation around the axis. The rollers are active rollers, providing steel plate rolling drive. According to the matching of simulation and actual situation, the analysis software constrains each working roller and steel plate.

[0016] 1.5. Set the solution control options: Set the single rolling time of a single steel plate as the steel plate rolling termination condition in the ANSYS LS-DYNA solver, and set the step value, which is a positive integer multiple of 500 mm and is less than or equal to the length of a single steel plate;

[0017] 1.6. Calculate the recommended roll feed amount and the recommended number of rolling times during the rolling process; including the following steps:

[0018] 1.6.1. Calculate the total feed rate of the plate rolling machine roller when the steel plate is rolled to the desired forming curvature radius based on the size of the plate rolling machine and the steel plate;

[0019]

[0020] Where:

[0021] H-total feed of the roll, mm;

[0022] R-expected forming curvature radius, mm;

[0023] t-thickness of steel plate, mm;

[0024] r1-roller radius, mm;

[0025] r2-driving roller radius, mm;

[0026] L-half of the center distance of the driving roller, mm;

[0027] 1.6.2. Yield limit σ of rolled steel plate s , the steel plate thickness δ and the plate bending forming radius R are used to calculate the number of rolling times n from the steel plate to the steel plate coiling forming;

[0028]

[0029] σ s -Yield limit of steel plate, MPa;

[0030] δ-steel plate thickness, mm;

[0031] R-expected forming curvature radius, mm;

[0032] 1.6.3. Allocate the feed amount of the rollers for each rolling process;

[0033] When the yield limit of the steel plate is greater than or equal to 500Mpa, the roller feed rate for the first rolling is set according to the ratio of the steel yield limit to the plate thickness of 13 to 17 times the plate thickness; the last rolling is set according to 0.6 to 0.8 times the plate thickness; the total roller feed rate for the remaining rolling times is set according to the total feed rate minus the total of the first and last two feed rates, and is set in a trend from small to large and then decreasing; when the data increases, the increase step size shall not be greater than the plate thickness value;

[0034] When the yield limit of the steel plate is less than 500MPa, the roller feed amount of the first rolling is set according to the total feed amount divided by the average value of the number of rolling times, the last rolling feed amount is set according to 0.5-0.6 times the average rolling feed amount, and the total roller feed amount of the remaining rolling times is set according to the total feed amount minus the total of the first and last feed amounts, and is set in a trend from small to large and then decreasing; when the data increases, the increase step size is not greater than twice the plate thickness value;

[0035] When the recommended number of rolling times is n and n is greater than or equal to 4, the rolling process is optimized by adjusting the roll feed amount during rolling to reduce one rolling process;

[0036] The adjustment process includes the following steps:

[0037] I. Based on the set of roll feed parameters optimized in step (9), any roll feed except the first and nth roll feeds is removed, and the other roll feed parameters are the roll feed parameters for the first to n-1th rolls in sequence;

[0038] II. Input the roll feed parameters of the first to n-1th rolling obtained in step I into the ANSYS LS-DYNA solver to calculate the forming curvature radius respectively;

[0039] III. Compare the forming curvature radius obtained in step II with the desired forming curvature radius. When the forming curvature radius is greater than the desired forming curvature radius, increase the roller feed amount parameters for each rolling process to obtain a set of adjusted roller feed amount parameters.

[0040] IV. Input the roller feed parameter adjusted in step III into the ANSYS LS-DYNA solver to calculate the forming curvature radius, and repeat steps II and III until the forming curvature radius calculated by a set of roller feed parameters is equal to the expected forming curvature radius, and this set of roller feed parameters is taken as the optimal solution;

[0041] 1.7. According to the recommended roll feed value and the recommended number of rolling times described in step 1.6, the roll feed value of the recommended value is increased and decreased in steps of 1 mm to generate multiple sets of roll feed parameters;

[0042] 1.8. Input the parameters of multiple sets of roller feed amounts in step 1.7 into the ANSYS LS-DYNA solver in step (5) to calculate multiple sets of curvature radii after single rolling and forming curvature radii;

[0043] 1.9. From the multiple groups of curvature radii after rolling calculated in step 1.8, select a group of roller feed parameters whose curvature radii after multiple rolling are closest to the expected forming curvature radius as the optimal solution;

[0044] 2) The optimal number of rolling times, the curvature radius of the steel plate after each rolling, and the feed amount of the rolling machine roll during each rolling obtained in step 1) are introduced into the rolling equipment, and the parameters are used as the initial rolling measurement standard values;

[0045] 3) During the rolling process, more than three groups of linear light sources are projected onto the edge of the steel plate during the rolling process to form a grating with more than three black-and-white intervals on the edge groove feature of the steel plate;

[0046] 4) capturing the edge groove features of the grating area in step 3) by using multiple cameras with different viewing angles;

[0047] 5) According to the groove feature of the edge of the steel plate described in step 4), the edge point of the steel plate is located, and the three-dimensional coordinates of the groove edge of each linear light source projection position are obtained through analysis;

[0048] The analysis includes the following process:

[0049] 5.1. Image preprocessing: De-noise and enhance the collected photos, and eliminate the noise introduced by factors such as light conditions and camera sensor characteristics through median filtering or bilateral filtering;

[0050] 5.2. Image enhancement: Use histogram equalization or adaptive histogram equalization (CLAHE) to expand the dynamic range of the image, making the dark details clearer and the bright parts not overexposed;

[0051] 5.3. Feature extraction: Use SIFT to extract image features;

[0052] 5.4. Feature matching and geometric verification: Use the BFMatcher matching method provided by the OpenCV library to perform feature matching; apply the RANSAC algorithm to select the correct matching pairs and use the binocular parallax principle to generate the three-dimensional coordinates of each point projected by the linear light source;

[0053] 6) calculating the curvature radius of the inner surface and the outer surface of the steel plate segment through the three-dimensional coordinates in step 5), and calculating the curvature radius of the center surface of the steel plate segment;

[0054] The curvature radius of the inner surface and the outer surface of the steel plate section is calculated as follows: take any three intersection points formed by the projection positions of each linear light source and the surface intersection lines of the inner side and the outer side of the steel plate, respectively, and use the perpendicular diameter theorem to calculate the coordinates of the intersection points of the perpendicular lines as the center of the circle, and the inner diameter and the outer diameter of the rolled steel plate can be obtained by solving the distance from the center of the circle to the coordinates of the measuring point. The intersection line of the inner surface of the steel plate is the intersection line formed by the inner groove forming section of the steel plate and the inner surface of the steel plate; the intersection line of the outer surface of the steel plate is the intersection line formed by the outer groove forming section of the steel plate and the outer surface of the steel plate;

[0055] 6.1 The distances d1, d2 and d3 between any two points in the three-dimensional space are:

[0056]

[0057] Where d is the distance between any two points, (x1, y1, z1) is the three-dimensional coordinate of any one of the three points; (x2, y2, z2) is the three-dimensional coordinate of any one of the other two points;

[0058] 6.2. With the origin of the two-dimensional coordinate system as the center, draw a line segment OA along the direction that is 45 degrees to the positive direction of the X-axis with the distance d1 between any two points. Draw circles with O and A as the centers and d2 and d3 as the radii respectively. Take one of the intersection points of the two circles in quadrants 1 and 2 as B;

[0059] The coordinates of point O are (0,0) and point A are

[0060] The equation of a circle with O as its center is: 2 +y 2 =d2 2 ;

[0061] The equation of a circle with A as the center is:

[0062] In this way, the coordinates of the intersection of the two circles are obtained (x3, y3);

[0063] The analytical expressions of the OA line and the OB line are y=k1x and y=k2x respectively;

[0064] 6.3. The expressions of the perpendicular bisectors of two straight lines are and

[0065] in:

[0066] The intersection of the two perpendicular bisectors is the center of the circle O1. Let x and y of the two expressions be equal. Find:

[0067]

[0068] 6.4. The radius of curvature of the inner and outer surfaces of the steel plate is

[0069] The curvature radius of the central surface of the steel plate is the average value of the inner diameter and the outer diameter of the rolled steel plate; the two radius values ​​R1 and R2 of the inner and outer surfaces of the section of the steel plate are solved respectively, and the radius of the central surface of the section of the steel plate is

[0070] 7) calculating the radius of curvature of the rolled steel plate according to the radius of the center surface of the steel plate section in step 6);

[0071] The calculation method of the curvature radius Rm is:

[0072]

[0073] Among them, Rm is the radius of curvature of the steel plate after a single rolling; t is the time taken for a single rolling of the steel plate

[0074] 8) Compare the curvature radius calculated in step 7) with the curvature radius obtained by simulation analysis in step 1) to guide the setting parameters of the plate rolling machine in the next plate rolling process;

[0075] The specific setting parameters of the plate rolling machine for the next rolling process are as follows:

[0076] When the measured curvature radius is larger than the curvature radius obtained by simulation analysis, the plate rolling machine operating parameters are adjusted in the next rolling process to increase the feed rate of the plate rolling machine rollers;

[0077] When the measured curvature radius is smaller than the curvature radius obtained by simulation analysis, the plate rolling machine operating parameters are adjusted in the next rolling process to reduce the feed amount of the plate rolling machine roller;

[0078] When the measured radius of the center surface of a certain section of steel plate is larger than the curvature radius obtained by simulation analysis, the operating parameters of the plate rolling machine are adjusted in the next rolling process, and the feed rate of the plate rolling machine roller is increased when rolling the section of steel plate;

[0079] When the measured radius of the center surface of a certain section of steel plate is smaller than the curvature radius obtained by simulation analysis, the operating parameters of the plate rolling machine are adjusted in the next rolling process, and the feed amount of the plate rolling machine roller is reduced when rolling the section of steel plate;

[0080] 9) Through the accumulation of data from multiple rolling processes, the machine self-learning technology is used to realize the whole process size monitoring and automatic adjustment of rolling parameters of the steel plate rolling process, and complete multiple rolling and forming of the steel plate; realize the standardization of the steel plate rolling size.

[0081] Beneficial effects of the present invention:

[0082] 1. Through the relevant technologies involved in the present invention, the rolling process of high-strength thick plates can be simulated, and the displacement of the plate rolling machine drive roller and the rolling speed in the multiple rolling forming process can be optimized, which can greatly reduce the test rolling process in the rolling process of unconventional steel plates such as high-strength thick plates. And through the simulation analysis results, the stress changes of the steel plate during the rolling process can be intuitively seen, ensuring the reliability of the quality of the steel plate rolled.

[0083] 2. The present invention can realize real-time dynamic monitoring of the whole process of steel plate rolling, which makes the quality of the steel plate rolling process more controllable compared with the traditional steel plate rolling. By comparing the detection of the steel plate forming size with the theoretical simulation analysis value, the parameters of the next rolling can be adjusted. The deviation of the final steel plate forming size due to the plate thickness deviation and mechanical property deviation is avoided. The standardization of the rolling forming size is achieved through this method, the dependence of the rolling process on the operator's experience is reduced, and the operability of the equipment is improved.

[0084] 3. Through the implementation of this method, the intelligence level of large-scale traditional industrial equipment such as plate rolling machines is improved, the personnel input in the plate rolling process is reduced, and the rolling efficiency and forming quality of unconventional steel plates such as high-strength thick plates are improved.

[0085] 4. The technology involved in the comparative document is mainly aimed at the working condition of one-time rolling forming. When rolling thick and high-strength steel plates for hydropower stations, it is necessary to adopt multiple rolling forming processes with small feed amounts to ensure that the steel plates are elastically and plastically deformed during the rolling process, thereby ensuring the mechanical properties of the steel plates after rolling.

[0086] 5. Through dynamic measurement of the steel plate rolling process, the measurement data volume is larger and the data accuracy is higher. Compared with the traditional ruler detection, it is more efficient and the data is more valuable for guidance. DETAILED DESCRIPTION

[0087] The present invention is further described in detail below in conjunction with examples, but the embodiments of the present invention are not limited thereto.

[0088] Example 1

[0089] This embodiment provides a steel plate multiple rolling forming method for real-time detection of curvature radius, comprising the following steps:

[0090] 1) The ANSYS LS-DYNA module is used to simulate and analyze the rolling process of steel plates with different plate thicknesses and different forming diameters, and the number of steel plate rollings, the curvature radius of the steel plate after each rolling, and the feed amount of the rolling machine roll during each rolling are obtained;

[0091] The simulation analysis comprises the following steps:

[0092] 1.1. Modeling: Use Inventor 3D software to build a 3D model of the shape and size of the plate rolling machine working roll and rolled steel plate;

[0093] 1.2. Material parameter definition: The main physical properties of the work roll and steel plate are defined in ANSYS workbench, including density, Poisson's ratio, elastic modulus, yield limit and strength limit of the steel plate and work roll;

[0094] The working roll needs to be set as a rigid body in the finite element analysis, but the working roll material also needs to be defined. If there is no relevant material property, the contact stiffness between the materials will be affected, resulting in distorted calculation results.

[0095] 1.3. Pre-processing of model import area: import the three-dimensional model of steel plate and plate rolling machine working roll into ANSYS LS-DYNA module for meshing;

[0096] 1.4. Define contact and constraint information: In the simulation analysis, the contact mode between the working roll and the steel plate is defined according to the surface-to-surface contact in the actual rolling process. In the analysis software, constraints are imposed on each working roll and the steel plate to limit the boundary conditions of the software simulation analysis.

[0097] In the actual process of steel plate rolling, the rollers and the steel plates are in surface contact. In the simulation analysis, the contact mode between the rollers and the steel plates is defined as surface contact. The rollers are driving rollers, and the driving rollers are symmetrical. The actual driving rollers can realize vertical upward movement and rotation around the axis. The rollers are active rollers, providing steel plate rolling drive. According to the matching of simulation and actual situation, the analysis software constrains each working roller and steel plate.

[0098] 1.5. Set the solution control options: Set the single rolling time of a single steel plate as the steel plate rolling termination condition in the ANSYS LS-DYNA solver, and set the step value, which is a positive integer multiple of 500 mm and is less than or equal to the length of a single steel plate;

[0099] 1.6. Calculate the recommended roll feed amount and the recommended number of rolling times during the rolling process; including the following steps:

[0100] 1.6.1. Calculate the total feed rate of the plate rolling machine roller when the steel plate is rolled to the desired forming curvature radius based on the size of the plate rolling machine and the steel plate;

[0101]

[0102] Where:

[0103] H-total feed of the roll, mm;

[0104] R-expected forming curvature radius, mm;

[0105] t-thickness of steel plate, mm;

[0106] r1-roller radius, mm;

[0107] r2-driving roller radius, mm;

[0108] L-half of the center distance of the driving roller, mm;

[0109] 1.6.2. Yield limit σ of rolled steel plate s , the steel plate thickness δ and the plate bending forming radius R are used to calculate the number of rolling times n from the steel plate to the steel plate coiling forming;

[0110]

[0111] σ s -Yield limit of steel plate, MPa;

[0112] δ-steel plate thickness, mm;

[0113] R-expected forming curvature radius, mm;

[0114] 1.6.3. Allocate the feed amount of the rollers for each rolling process;

[0115] When the yield limit of the steel plate is greater than or equal to 500Mpa, the roller feed rate for the first rolling is set according to the ratio of the steel yield limit to the plate thickness of 13 to 17 times the plate thickness; the last rolling is set according to 0.6 to 0.8 times the plate thickness; the total roller feed rate for the remaining rolling times is set according to the total feed rate minus the total of the first and last two feed rates, and is set in a trend from small to large and then decreasing; when the data increases, the increase step size shall not be greater than the plate thickness value;

[0116] When the yield limit of the steel plate is less than 500MPa, the roller feed amount of the first rolling is set according to the total feed amount divided by the average value of the number of rolling times, the last rolling feed amount is set according to 0.5-0.6 times the average rolling feed amount, and the total roller feed amount of the remaining rolling times is set according to the total feed amount minus the total of the first and last feed amounts, and is set in a trend from small to large and then decreasing; when the data increases, the increase step size is not greater than twice the plate thickness value;

[0117] Roller feed amount 1.7. According to the recommended roll feed amount and the recommended number of rolling times described in step 1.6, the recommended feed amount is increased and decreased in steps of 1 mm to generate multiple sets of roll feed amount parameters;

[0118] 1.8. Input the parameters of multiple sets of roller feed amounts in step 1.7 into the ANSYS LS-DYNA solver in step (5) to calculate multiple sets of curvature radii after single rolling and forming curvature radii;

[0119] 1.9. From the multiple groups of curvature radii after rolling calculated in step 1.8, select a group of roller feed parameters whose curvature radii after multiple rolling are closest to the expected forming curvature radius as the optimal solution;

[0120] 2) The optimal number of rolling times, the curvature radius of the steel plate after each rolling, and the feed amount of the rolling machine roll during each rolling obtained in step 1) are introduced into the rolling equipment, and the parameters are used as the initial rolling measurement standard values;

[0121] 3) During the rolling process, more than three groups of linear light sources are projected onto the edge of the steel plate during the rolling process to form a grating with more than three black-and-white intervals on the edge groove feature of the steel plate;

[0122] 4) capturing the edge groove features of the grating area in step 3) by using multiple cameras with different viewing angles;

[0123] 5) According to the groove feature of the edge of the steel plate described in step 4), the edge point of the steel plate is located, and the three-dimensional coordinates of the groove edge of each linear light source projection position are obtained through analysis;

[0124] The analysis includes the following process:

[0125] 5.1. Image preprocessing: De-noise and enhance the collected photos, and eliminate the noise introduced by factors such as light conditions and camera sensor characteristics through median filtering or bilateral filtering;

[0126] 5.2. Image enhancement: Use histogram equalization or adaptive histogram equalization (CLAHE) to expand the dynamic range of the image, making the dark details clearer and the bright parts not overexposed;

[0127] 5.3. Feature extraction: Use SIFT to extract image features;

[0128] 5.4. Feature matching and geometric verification: Use the BFMatcher matching method provided by the OpenCV library to perform feature matching; apply the RANSAC algorithm to select the correct matching pairs and use the binocular parallax principle to generate the three-dimensional coordinates of each point projected by the linear light source;

[0129] 6) calculating the curvature radius of the inner surface and the outer surface of the steel plate segment through the three-dimensional coordinates in step 5), and calculating the curvature radius of the center surface of the steel plate segment;

[0130] The curvature radius of the inner surface and the outer surface of the steel plate section is calculated as follows: take any three intersection points formed by the projection positions of each linear light source and the surface intersection lines of the inner side and the outer side of the steel plate, respectively, and use the perpendicular diameter theorem to calculate the coordinates of the intersection points of the perpendicular lines as the center of the circle, and the inner diameter and the outer diameter of the rolled steel plate can be obtained by solving the distance from the center of the circle to the coordinates of the measuring point. The intersection line of the inner surface of the steel plate is the intersection line formed by the inner groove forming section of the steel plate and the inner surface of the steel plate; the intersection line of the outer surface of the steel plate is the intersection line formed by the outer groove forming section of the steel plate and the outer surface of the steel plate;

[0131] 6.1. The distances d1, d2 and d3 between any two points of the three point coordinates in three-dimensional space:

[0132]

[0133] Where d is the distance between any two points, (x1, y1, z1) is the three-dimensional coordinate of any one of the three points; (x2, y2, z2) is the three-dimensional coordinate of any one of the other two points;

[0134] 6.2. With the origin of the two-dimensional coordinate system as the center, draw a line segment OA along the direction that is 45 degrees to the positive direction of the X-axis with the distance d1 between any two points. Draw circles with O and A as the centers and d2 and d3 as the radii respectively. Take one of the intersection points of the two circles in quadrants 1 and 2 as B;

[0135] The coordinates of point O are (0,0) and point A are

[0136] The equation of a circle with O as its center is: 2 +y 2 =d2 2 ;

[0137] The equation of a circle with A as the center is:

[0138] In this way, we can obtain the coordinates of the intersection of the two circles B(x3,y C );

[0139] The analytical expressions of the OA line and the OB line are y=k1x and y=k2x respectively;

[0140] 6.3. The expressions of the perpendicular bisectors of two straight lines are and

[0141] in:

[0142] The intersection of the two perpendicular bisectors is the center of the circle O1. Let x and y of the two expressions be equal. Find:

[0143]

[0144] 6.4. The radius of curvature of the inner and outer surfaces of the steel plate is

[0145] The curvature radius of the central surface of the steel plate is the average value of the inner diameter and the outer diameter of the rolled steel plate; the two radius values ​​R1 and R2 of the inner and outer surfaces of the section of the steel plate are solved respectively, and the radius of the central surface of the section of the steel plate is

[0146] 7) calculating the radius of curvature of the rolled steel plate according to the radius of the center surface of the steel plate section in step 6);

[0147] The calculation method of the curvature radius Rm is:

[0148]

[0149] Among them, Rm is the radius of curvature of the steel plate after a single rolling; t is the time taken for a single rolling of the steel plate

[0150] 8) Compare the curvature radius calculated in step 7) with the curvature radius obtained by simulation analysis in step 1) to guide the setting parameters of the plate rolling machine in the next plate rolling process;

[0151] The specific setting parameters of the plate rolling machine for the next rolling process are as follows:

[0152] When the measured curvature radius is larger than the curvature radius obtained by simulation analysis, the plate rolling machine operating parameters are adjusted in the next rolling process to increase the feed rate of the plate rolling machine rollers;

[0153] When the measured curvature radius is smaller than the curvature radius obtained by simulation analysis, the plate rolling machine operating parameters are adjusted in the next rolling process to reduce the feed amount of the plate rolling machine roller;

[0154] When the measured radius of the center surface of a certain section of steel plate is larger than the curvature radius obtained by simulation analysis, the operating parameters of the plate rolling machine are adjusted in the next rolling process, and the feed rate of the plate rolling machine roller is increased when rolling the section of steel plate;

[0155] When the measured radius of the center surface of a certain section of steel plate is smaller than the curvature radius obtained by simulation analysis, the operating parameters of the plate rolling machine are adjusted in the next rolling process, and the feed amount of the plate rolling machine roller is reduced when rolling the section of steel plate;

[0156] Through real-time measurement of actual rolling parameters, the deviation between simulation data and measured data is compared to adjust the setting value of the next steel plate rolling parameter. After the first rolling is completed, the real-time detection of the forming data is compared with the standard data to determine whether the next rolling parameters are adjusted and the parameter adjustment amount. The judgment logic is as follows: when the difference between the forming diameter value and the theoretical value of the above-mentioned optimal parameter is less than -10mm, the next rolling feed is reduced by 2mm steps; when the difference between the forming diameter value and the theoretical value of the above-mentioned optimal parameter is greater than -10mm and less than -5mm, the next rolling feed is reduced by 1mm steps; when the difference between the forming diameter value and the theoretical value of the above-mentioned optimal parameter is greater than 10mm, the next rolling feed is increased by 2mm steps; when the difference between the forming diameter value and the theoretical value of the above-mentioned optimal parameter is greater than 5mm and less than 10mm, the next rolling feed is increased by 1mm steps; when a deviation occurs during the last rolling process, the final size of the rolling is corrected according to the above rules;

[0157] 9) Through the accumulation of data from multiple rolling processes, the machine self-learning technology can be used to realize the full-process dimensional monitoring of the steel plate rolling process and automatic adjustment of the rolling parameters, thereby achieving standardization of the steel plate rolling dimensions.

[0158] In this embodiment, the material of the steel plate used is Q355B low alloy high strength steel plate; the thickness is 40mm; the rolling forming diameter is 1800mm, and the performance parameters of the steel plate in Example 1 are shown in Table 1;

[0159] Table 1 Performance parameters of steel plate in Example 1

[0160] Density ρ Poisson's ratio μ Elastic modulus E Yield limit σs Strength limit σb <![CDATA[7.85g / cm 3 ]]> 0.3 <![CDATA[2.06×10 11 Well]]> 335MPa 630MPa

[0161] In this embodiment, the plate rolling machine adopts a W11×PC-70×3200 fully hydraulic plate rolling machine. The plate rolling machine roll diameter is 980mm, the drive roll diameter is 520mm, the plate rolling machine working roll includes the roll feed and the roll, the drive roll is the lower roll, the roll is the upper roll, the drive roll is responsible for rotating and driving the steel plate to have relative displacement with the working roll, and the roll is responsible for feeding and providing the feed amount for steel plate rolling;

[0162] The performance parameters of the working roll material in Example 1 are shown in Table 2;

[0163] Table 2 Performance parameters of working roll materials in Example 1

[0164] Material Density ρ Poisson's ratio μ Elastic modulus E Yield limit σs Strength limit σb 35CrMo <![CDATA[7.85g / cm 3 ]]> 0.3 <![CDATA[2.06×10 11 Well]]> 390MPa 590MPa

[0165] When the yield limit of the rolled plate is ≤400MPa, the maximum symmetrical rolled plate thickness is 70mm, the maximum rolled plate width is 3200mm, and the minimum rolled diameter is 1.5mm when fully loaded;

[0166] The parameters of the number of steel plate rollings, the feed amount of the plate rolling machine rolls during each rolling, and the curvature radius of the steel plate after each rolling simulated and analyzed in step 1) of this embodiment are shown in Table 3;

[0167] Table 3 Single rolling roller feed amount and single rolling curvature radius of each test in the simulation analysis of Example 1

[0168]

[0169]

[0170] By comparing the forming diameter values ​​and plate stress changes in each test state, the first feed amount of 223mm, the second feed amount of 153mm, and the third feed amount of 93mm were selected as the optimal rolling machine roller feed parameters.

[0171] In this embodiment, the roll feed amount of the plate rolling machine at each rolling process and the curvature radius parameters of the steel plate after each rolling process are shown in Table 4 and Table 5;

[0172] Table 4 Single rolling roller feed amount for each test in actual rolling in Example 1

[0173]

[0174] Table 5 Curvature radius after single rolling in each test of actual rolling in Example 1

[0175]

[0176] By real-time measurement of actual rolling parameters and verifying the simulation data, the optimal parameters of the single rolling roll feed for the actual rolling of test number 3 were obtained.

[0177] Example 2

[0178] The present embodiment is different from the embodiment 1 in that, in the present embodiment, when the recommended rolling times of step (6) in step 1) is n and n is greater than or equal to 4, the rolling process is reduced once by optimizing the feed amount of the rolling rollers during the rolling process;

[0179] The adjustment process includes the following steps:

[0180] I. Based on the set of roll feed parameters optimized in step (9), any roll feed except the first and nth roll feeds is removed, and the other roll feed parameters are the roll feed parameters for the first to n-1th rolls in sequence;

[0181] II. Input the roll feed parameters of the first to n-1th rolling obtained in step I into the ANSYS LS-DYNA solver to calculate the forming curvature radius respectively;

[0182] III. Compare the forming curvature radius obtained in step II with the desired forming curvature radius. When the forming curvature radius is greater than the desired forming curvature radius, increase the roller feed amount parameters for each rolling process to obtain a set of adjusted roller feed amount parameters.

[0183] IV. Input the roller feed parameter adjusted in step III into the ANSYS LS-DYNA solver to calculate the forming curvature radius, and repeat steps II and III until the forming curvature radius calculated by a set of roller feed parameters is equal to the expected forming curvature radius, and this set of roller feed parameters is taken as the optimal solution;

[0184] The remaining steps are the same as those in Example 1.

[0185] The steel plate used in this embodiment is a Q890E high-strength structural quenched and tempered steel plate with a thickness of 90 mm and an expected rolling diameter of 8500 mm. The performance parameters of the steel plate in Example 2 are shown in Table 5.

[0186] Table 5 Performance parameters of steel plate in Example 2

[0187] Density ρ Poisson's ratio μ Elastic modulus E Yield limit σs Strength limit σb 7.85g / cm3 0.3 2.06×1011Pa 830MPa 1100MPa

[0188] In this embodiment, the plate rolling machine adopts a W12-220×3500 fully hydraulic four-roller plate rolling machine; the roll diameter is 1330 mm, the drive roll diameter is 1200 mm, and the working roll material performance parameters in Example 2 are shown in Table 6;

[0189] Table 6 Performance parameters of working roll materials in Example 2

[0190] Material Density ρ Poisson's ratio μ Elastic modulus E Yield limit σs Strength limit σb 42CrMn 7.85g / cm3 0.3 2.06×1011Pa 930MPa 1080MPa

[0191] When the yield limit of the rolled plate is ≤1000MPa, the maximum symmetrical rolled plate thickness is 115mm, the maximum rolled plate width is 3000mm, and the minimum rolled plate diameter is 3300mm when fully loaded.

[0192] The number of steel plate rollings simulated and analyzed in step 1) of this embodiment, the feed amount of the plate rolling machine roll during each rolling, and the curvature radius parameters of the steel plate after each rolling are shown in Table 7 and Table 8; wherein, Tests 1-3 are simulation analysis results based on the recommended values ​​of the roll feed amount and the recommended number of rollings, and Tests 4-6 are simulation analysis results after reducing one rolling process;

[0193] Table 7 Single rolling roller feed amount for each test in simulation analysis in Example 2

[0194]

[0195] Table 8 Curvature radius after single rolling in each test of simulation analysis in Example 2

[0196]

[0197] Among them, test 3 is the optimal solution of the simulation analysis results based on the recommended values ​​of roll feed and recommended rolling times, and test 6 is the optimal solution of the simulation analysis results after reducing one rolling process;

[0198] By comparing the forming diameter values ​​and plate stress changes in each test state, it is shown that in the process of rolling 90mm thick Q890E steel plate with a forming diameter of 8500mm, the rolling process can be optimized by adjusting the rolling roller feed parameters to reduce the rolling process of the steel plate.

[0199] In this embodiment, the roll feed amount of the plate rolling machine at each rolling process and the curvature radius parameters of the steel plate after each rolling process are shown in Table 9 and Table 10;

[0200] Table 9 Single rolling roller feed amount for each test in actual rolling in Example 2

[0201]

[0202] Table 10 Curvature radius after single rolling in each test of actual rolling in Example 2

[0203]

[0204] By real-time measurement of actual rolling parameters and verifying the simulation data, the optimal parameters of the single rolling roll feed for the actual rolling of test number 3 were obtained.

[0205] Example 3

[0206] The difference between this embodiment and embodiment 2 is that, in this embodiment, the material of the steel plate used is Q800E high-strength structural quenched and tempered steel plate, the thickness is 64mm, and the rolling forming diameter is 6500mm; the performance parameters of the steel plate in embodiment 2 are shown in Table 11; the remaining steps are the same as those in embodiment 2.

[0207] Table 11 Performance parameters of steel plate in Example 3

[0208] Density ρ Poisson's ratio μ Elastic modulus E Yield limit σs Strength limit σb 7.85g / cm3 0.3 2.06×1011Pa 830MPa 1100MPa

[0209] The number of steel plate rollings simulated and analyzed in step 1) of this embodiment, the feed amount of the plate rolling machine rolls during each rolling, and the curvature radius parameters of the steel plate after each rolling are shown in Tables 12 and 13; wherein, Tests 1-3 are simulation analysis results based on the recommended values ​​of the roll feed amount and the recommended number of rollings, and Tests 4-6 are simulation analysis results after reducing one rolling process;

[0210] Table 12 Single rolling roller feed amount for each test in simulation analysis in Example 3

[0211]

[0212] Table 13 The curvature radius after single rolling in each test of simulation analysis in Example 3

[0213]

[0214]

[0215] By comparing the forming diameter values ​​and plate stress changes in each test state, it is shown that in the process of rolling 64mm thick Q800E steel plate with a forming diameter of 6500mm, the rolling process can be optimized by reducing the feeding parameters of the rolling roller and reducing the rolling process of the steel plate once.

[0216] In this embodiment, the roll feed amount of the plate rolling machine at each rolling process and the curvature radius parameters of the steel plate after each rolling process are shown in Table 14 and Table 15;

[0217] Table 14 Single rolling roller feed amount for each test in actual rolling in Example 3

[0218]

[0219] Table 15 Curvature radius after single rolling in each test of actual rolling in Example 3

[0220]

[0221] Through real-time measurement of actual rolling parameters and verification of simulation data, the optimal parameters of single rolling roll feed for actual rolling with test number 1 were obtained.

[0222] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. A steel plate multiple rolling forming method with real-time detection of curvature radius, characterized in that: The steps include: 1) The ANSYS LS-DYNA module is used to simulate and analyze the rolling process of steel plates with different plate thicknesses and different forming diameters, and the optimal number of steel plate rolling times, the curvature radius of the steel plate after each rolling, and the feed amount of the rolling machine roll during each rolling are obtained; 2) The optimal number of rolling times, the curvature radius of the steel plate after each rolling, and the feed amount of the rolling machine roll during each rolling obtained in step 1) are introduced into the rolling equipment, and the parameters are used as the initial rolling measurement standard values; 3) Start rolling. During the rolling process, more than three groups of linear light sources are projected onto the edge of the steel plate to form a grating with more than three black-white intervals on the edge groove feature of the steel plate; 4) capturing the edge groove features of the grating area in step 3) by using multiple cameras with different viewing angles; 5) According to the groove feature of the edge of the steel plate described in step 4), the edge point of the steel plate is located, and the three-dimensional coordinates of the groove edge of each linear light source projection position are obtained through analysis; 6) calculating the curvature radius of the inner surface and the outer surface of the steel plate segment through the three-dimensional coordinates in step 5), and calculating the curvature radius of the center surface of the steel plate segment; 7) calculating the radius of curvature of the rolled steel plate according to the radius of the center surface of the steel plate section in step 6); 8) Compare the curvature radius calculated in step 7) with the curvature radius obtained by simulation analysis in step 1) to guide the setting parameters of the plate rolling machine in the next plate rolling process; 9) Through the accumulation of data from multiple rolling processes, the machine self-learning technology is used to realize the whole process dimensional monitoring and automatic adjustment of rolling parameters of the steel plate rolling process, and complete multiple rolling and forming of the steel plate.

2. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 1, characterized in that: The simulation analysis in step 1) comprises the following steps: 1.

1. Modeling: Use Inventor 3D software to build a 3D model of the shape and size of the plate rolling machine working roll and rolled steel plate; 1.

2. Material parameter definition: The physical properties of the work roll and steel plate are defined in ANSYS workbench. The physical properties include density, Poisson's ratio, elastic modulus, yield limit and strength limit of the steel plate and work roll. 1.

3. Pre-processing of model import area: import the three-dimensional model of steel plate and plate rolling machine working roll into ANSYS LS-DYNA module for meshing; 1.

4. Define contact and constraint information: In the simulation analysis, the contact mode between the working roll and the steel plate is defined according to the surface-to-surface contact in the actual rolling process. In the analysis software, constraints are imposed on each working roll and the steel plate to limit the boundary conditions of the software simulation analysis. 1.

5. Set the solution control options: Set the single rolling time of a single steel plate as the steel plate rolling termination condition in the ANSYS LS-DYNA solver, and set the step value, which is a positive integer multiple of 500 mm and is less than or equal to the length of a single steel plate; 1.

6. Calculate the recommended roll feed value and recommended number of rolling times during the rolling process; 1.

7. According to the recommended roll feed value and the recommended number of rolling times described in step 1.6, the roll feed value of the recommended value is increased and decreased in steps of 1 mm to generate multiple sets of roll feed parameters; 1.

8. Input the parameters of multiple sets of roller feed amounts in step 1.7 into the ANSYS LS-DYNA solver in step (5) to calculate multiple sets of curvature radii after single rolling and forming curvature radii; 1.

9. From the multiple sets of curvature radii after rolling calculated in step 1.8, select a set of roller feed parameters whose curvature radii after multiple rolling are closest to the expected forming curvature radius as the optimal solution.

3. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 2 is characterized in that: the calculation of the recommended value of the roll feed amount and the recommended number of rolling times in the rolling process in step 1.6 comprises the following steps: 1.6.

1. Calculate the total feed rate of the plate rolling machine roller when the steel plate is rolled to the desired forming curvature radius based on the size of the plate rolling machine and the steel plate; Where: H-total feed of the roll, mm; R-expected forming curvature radius, mm; t-thickness of steel plate, mm; r1-roller radius, mm; r2-driving roller radius, mm; L-half of the center distance of the driving roller, mm; 1.6.

2. Yield limit σ of rolled steel plate s , the steel plate thickness δ and the plate bending forming radius R are used to calculate the number of rolling times n from the steel plate to the steel plate coiling forming; σ s -Yield limit of steel plate, MPa; δ-steel plate thickness, mm; R-expected forming curvature radius, mm; 1.6.

3. Allocate the feed amount of the rollers for each rolling process; When the yield limit of the steel plate is greater than or equal to 500Mpa, the roller feed rate for the first rolling is set according to the ratio of the steel yield limit to the plate thickness of 13 to 17 times the plate thickness; the last rolling is set according to 0.6 to 0.8 times the plate thickness; the total roller feed rate for the remaining rolling times is set according to the total feed rate minus the total of the first and last two feed rates, and is set in a trend from small to large and then decreasing; when the data increases, the increase step size shall not be greater than the plate thickness value; When the yield limit of the steel plate is less than 500MPa, the roller feed amount for the first rolling is set according to the total feed amount divided by the average value of the number of rolling times, the last rolling feed amount is set according to 0.5-0.6 times the average rolling feed amount, and the total roller feed amount for the remaining rolling times is set according to the total feed amount minus the total of the first and last feed amounts, and is set according to the trend of small to large and then decreasing; when the data increases, the increase step size shall not be greater than twice the plate thickness value.

4. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 2 is characterized in that: when the recommended rolling times calculated in step 1.6 is n and n is greater than or equal to 4, the rolling process is optimized and reduced by one time by adjusting the roller feed amount during rolling; The adjustment process includes the following steps: I. Based on the set of roll feed parameters optimized in step (9), any roll feed except the first and nth roll feeds is removed, and the other roll feed parameters are the roll feed parameters for the first to n-1th rolls in sequence; II. Input the roll feed parameters of the first to n-1th rolling obtained in step I into the ANSYS LS-DYNA solver to calculate the forming curvature radius respectively; III. Compare the forming curvature radius obtained in step II with the desired forming curvature radius. When the forming curvature radius is greater than the desired forming curvature radius, increase the roller feed amount parameters for each rolling process to obtain a set of adjusted roller feed amount parameters. IV. Input the roller feed parameters adjusted in step III into the ANSYS LS-DYNA solver to calculate the forming curvature radius respectively, and repeat steps II and III until the forming curvature radius calculated by a set of roller feed parameters is equal to the expected forming curvature radius, and this set of roller feed parameters is taken as the optimal solution.

5. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 1, characterized in that: in the step 5), the analysis includes the following process: 5.

1. Image preprocessing: De-noise and enhance the collected photos, and eliminate the noise introduced by factors such as light conditions and camera sensor characteristics through median filtering or bilateral filtering; 5.

2. Image enhancement: Use histogram equalization or adaptive histogram equalization (CLAHE) to expand the dynamic range of the image, making the dark details clearer and the bright parts not overexposed; 5.

3. Feature extraction: Use SIFT to extract image features; 5.

4. Feature matching and geometric verification. Use the BFMatcher matching method provided by the OpenCV library for feature matching. Apply the RANSAC algorithm to screen the correct matching pairs and use the binocular parallax principle to generate the three-dimensional coordinates of each point projected by the linear light source.

6. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 1, characterized in that: In the step 6), the curvature radius of the inner surface and the outer surface of the steel plate section is calculated as follows: any three intersection points formed by the intersection lines of the projection positions of each linear light source with the inner and outer surfaces of the steel plate are taken respectively, and the coordinates of the intersection points of the perpendicular lines are calculated by using the perpendicular diameter theorem as the center of the circle. The inner diameter and outer diameter of the rolled steel plate can be obtained by solving the distance from the center of the circle to the coordinates of the measuring point. The intersection line of the inner surface of the steel plate is the intersection line formed by the inner groove forming section of the steel plate and the inner surface of the steel plate; the intersection line of the outer surface of the steel plate is the intersection line formed by the outer groove forming section of the steel plate and the outer surface of the steel plate.

7. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 6, characterized in that: Calculating the curvature radius of the inner and outer surfaces of the steel plate section includes the following process: a. The distances d1, d2 and d3 between any two points of the three point coordinates in three-dimensional space: Where d is the distance between any two points, (x1, y1, z1) is the three-dimensional coordinate of any one of the three points; (x2, y2, z2) is the three-dimensional coordinate of any one of the other two points; b. With the origin of the two-dimensional coordinate system as the center, draw a line segment OA along the direction that is 45 degrees to the positive direction of the X-axis with the distance d1 between any two points, and draw circles with points O and A as the centers and d2 and d3 as the radii, and take one of the intersection points of the two circles in quadrants 1 and 2 as B; The coordinates of point O are (0,0) and point A are The equation of a circle with O as its center is: 2 +y 2 =d2 2 ; The equation of a circle with A as the center is: In this way, the coordinates of the intersection of the two circles are obtained (x3, y3); The analytical expressions of the OA line and the OB line are y=k1x and y=k2x respectively; c. The expressions for the perpendicular bisectors of the two lines are and in: The intersection of the two perpendicular bisectors is the center of the circle O1. Let x and y of the two expressions be equal. Find: d. The radius of curvature of the inner and outer surfaces of this section of steel plate is 8. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 7, characterized in that: The curvature radius of the central surface of the steel plate is the average value of the inner diameter and the outer diameter of the rolled steel plate; the two radius values ​​R1 and R2 of the inner and outer surfaces of the section of the steel plate are solved respectively, and the radius of the central surface of the section of the steel plate is 9. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 8, characterized in that: In step 7), the calculation method of the curvature radius Rm is: Wherein, Rm is the radius of curvature of the steel plate after a single rolling; t is the time taken for a single rolling of the steel plate.

10. The steel plate multiple rolling forming method with real-time detection of curvature radius according to claim 9, characterized in that: In the step 8), the setting parameters of the plate rolling machine for guiding the next plate rolling process are specifically: When the measured curvature radius is larger than the curvature radius obtained by simulation analysis, the plate rolling machine operating parameters are adjusted in the next rolling process to increase the feed rate of the plate rolling machine rollers; When the measured curvature radius is smaller than the curvature radius obtained by simulation analysis, the plate rolling machine operating parameters are adjusted in the next rolling process to reduce the feed amount of the plate rolling machine roller; When the measured radius of the center surface of a certain section of steel plate is larger than the curvature radius obtained by simulation analysis, the operating parameters of the plate rolling machine are adjusted in the next rolling process, and the feed rate of the plate rolling machine roller is increased when rolling the section of steel plate; When the measured radius of the center surface of a certain section of steel plate is smaller than the curvature radius obtained by simulation analysis, the operating parameters of the plate rolling machine are adjusted in the next rolling process, and the feed amount of the plate rolling machine roller is reduced when rolling the section of steel plate.

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