Method for calculating edge drop control efficiency coefficient of 20-roller cold rolling mill using opening degree

Abstract

The invention discloses a method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree, and relates to the technical field of cold rolling. A more applicable edge drop control efficiency coefficient calculation model is proposed, and the edge drop control efficiency coefficient is obtained by the opening degree of the first intermediate roll and the strip. The method does not depend on a specific production line, and the edge drop control efficiency coefficient curve obtained has stronger applicability, which can improve the adjustment accuracy of the first intermediate roll of the 20-roller cold rolling mill, thereby quickly and effectively controlling the edge drop of silicon steel and improving the silicon steel finished product rate.

Description

Technical Field

[0001] The invention relates to the technical field of cold rolling, and in particular to a method for calculating an edge drop control efficiency coefficient of a 20-roller cold rolling mill by using an opening degree. Background Art

[0002] With the development of domestic industry, the demand for cold-rolled non-oriented silicon steel is increasing. As an important soft magnetic functional material, it is widely used in the manufacturing of rotating electrical machines such as motors and generators. The transverse thickness difference is an important quality indicator of cold-rolled silicon steel products, which has an important impact on the performance improvement of motors, especially energy-saving, high-efficiency, and miniaturized electrical products, which have higher requirements for the transverse thickness deviation of silicon steel plates. The transverse thickness difference of cold-rolled silicon steel plates mainly comes from the plate convexity of hot-rolled incoming materials and the edge thinning of cold-rolled strip steel. The existing steel rolling equipment in the hot rolling stage can basically meet the requirements for plate convexity. The transverse thickness difference of cold-rolled silicon steel plates is mainly determined by the edge thinning of the strip steel during cold rolling. Practice has shown that effective control of edge drop can improve the quality of transverse thickness deviation. The Sendzimir 20-roller cold rolling mill has a small diameter, high overall rigidity, and rich edge drop control methods. It is a mainstream rolling mill for producing cold-rolled silicon steel. During the rolling process, the first intermediate roll of the Sendzimir 20-roller cold rolling mill has a taper and can move laterally, which can increase or decrease the contact area between the first intermediate roll and the working roll, adjust the rolling force acting on the edge of the strip, and effectively improve the thickness of the strip edge. Generally speaking, edge thinning control is to make the measured value of the edge of the rolled piece consistent with the target value. To this end, it is necessary to consider the lateral displacement of the tapered roller according to the effect of the tapered section of the first intermediate roll on the edge of the strip. In order to obtain an effective roll shifting amount, it is necessary to calculate the effective edge drop control efficiency coefficient. However, since the existing edge drop control efficiency coefficient acquisition method is calculated by the lateral displacement of the first intermediate roll, the edge drop control efficiency coefficient calculated each time is only applicable to the same tapered section roller shape. If the first intermediate roll of another roller shape is replaced, the edge drop control efficiency coefficient needs to be recalculated. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention innovatively introduces the concept of opening degree. The present invention proposes a method for calculating the edge drop control efficiency coefficient of a 20-roll cold rolling mill using the opening degree, which solves the problem that the edge drop control efficiency coefficient is only applicable to the same tapered section roller shape. It will help to improve the efficiency of the edge drop control system and further improve the transverse thickness quality of the strip.

[0004] The technical solution of the present invention is:

[0005] The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree includes the following specific steps:

[0006] Step 1: Simplify the Sendzimir 20-roller cold rolling mill, determine the geometric dimensions of the strip to be rolled, the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill, the material parameters of the strip, the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill, and the rolling process parameters.

[0007] The geometric dimensions of the strip include the width, thickness and length of the strip; the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill include the roll diameter and roll body length of the roll; the material parameters of the strip include density, elastic modulus, Poisson's ratio, yield stress and tangent modulus; the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill include density, elastic modulus and Poisson's ratio; the rolling process parameters include strip outlet thickness, rolling force, applied front tension, applied back tension, rolling speed, roll rotation speed, friction coefficient between each roll and friction coefficient between the roll and the strip.

[0008] Step 2: Construct a calculation model for the edge-reduction regulation efficacy coefficient.

[0009] Step 2.1: Set a coordinate origin on the strip, and use the length, width and thickness directions of the strip as the X-axis, Y-axis and Z-axis respectively to establish a three-dimensional coordinate system for the strip. The coordinates in the length, width and thickness directions are x, y and z respectively.

[0010] Step 2.2: Within the set range from the edge of the strip in the width direction of the strip, divide it into several feature points according to the set intervals. For feature points The width coordinates of , is the number of feature points.

[0011] Step 2.3: Construct a calculation model for the edge-reduction regulation efficacy coefficient.

[0012] The calculation model of the edge drop control efficiency coefficient is defined as the ratio of the thickness change of each characteristic point on the edge of the strip to the opening degree under the control of the first intermediate roll of the Sendzimir 20-roller cold rolling mill. The formula is as follows:

[0013] (1)

[0014] In the formula, For the The degree of opening in each pass, i.e. the distance between the edge of the strip and the tapered section of the first intermediate roller perpendicularly; For the The opening degree in each pass is Time feature point The edge-down control efficiency coefficient; is the road number; For the Feature points in each pass In the opening The thickness change of the edge of the strip.

[0015] The thickness variation of the edge of the strip is:

[0016] (2)

[0017] in, For the Characteristic points after adjustment of the first intermediate roll in each pass The thickness of For the Characteristic points when the first intermediate roll is not adjusted in the pass Thickness.

[0018] Step 3: According to the geometric dimensions of the strip, the geometric dimensions of the rolls in the Sendzimir 20-roll cold rolling mill, the material parameters of the strip, the material parameters of the rolls in the Sendzimir 20-roll cold rolling mill and the rolling process parameters, a Sendzimir roll system-strip integrated three-dimensional explicit elastic-plastic finite element model is constructed; the Sendzimir roll system-strip integrated three-dimensional explicit elastic-plastic finite element model includes a Sendzimir 20-roll cold rolling mill three-dimensional simulation model and a strip three-dimensional simulation model.

[0019] Step 3.1: Determine the relative position of the rolls in the boring hole of the rolling mill according to the positional relationship of the rolls in the roll system structure and the geometric dimensions of the rolls.

[0020] Step 3.2: According to the geometric dimensions of the strip, the geometric dimensions of the rolls in the Sendzimir 20-roll cold rolling mill, the material parameters of the strip, the material parameters of the rolls in the Sendzimir 20-roll cold rolling mill, the rolling process parameters and the relative positions of the rolls in the boring holes of the rolling mill, a three-dimensional simulation model of the Sendzimir 20-roll cold rolling mill and a three-dimensional simulation model of the strip are established, and then a three-dimensional explicit elastic-plastic finite element model of the Sendzimir roll system-strip steel integration is obtained.

[0021] Step 3.3: Verify the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model. If the verification passes, execute step 4; otherwise, re-establish the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model.

[0022] The method of accuracy verification is:

[0023] The rolling force curve of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model is derived and compared with the actual measured rolling force during on-site rolling. If the error of the rolling force does not exceed the set value in the stable stage, the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model meets the requirements.

[0024] Step 4: Use the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model to simulate the strip rolling, extract the thickness data and opening degree of each characteristic point on the strip edge in the stable rolling stage, and obtain the thickness change of the strip edge at different opening degrees based on the thickness data of each characteristic point.

[0025] Step 5: Substitute the obtained opening degree and thickness change into the calculation model of the edge drop control efficiency coefficient to calculate the edge drop control efficiency coefficient of each feature point.

[0026] The beneficial effects of the present invention are:

[0027] In this technical field, the edge drop control efficiency coefficient is calculated by the amount of roll shifting and the change in strip thickness. The tapered section of the first intermediate roller has a roller shape. The shape of the tapered section varies according to different production lines and production needs. When facing different production needs, rollers with different roller shapes will be replaced. Each time the roller shape is changed, a corresponding set of edge drop control coefficients needs to be used, which greatly increases the calculation time and cost, and is cumbersome to use.

[0028] The present invention takes the Sendzimir 20-roller cold rolling mill as the object, aims to reduce the edge drop of the strip, applies a three-dimensional finite element simulation method, and obtains the edge drop control efficiency coefficient from the opening degree of the first intermediate roll and the strip. The method does not depend on a specific production line, and the obtained edge drop control efficiency coefficient curve has stronger applicability.

[0029] The present invention proposes a more applicable edge drop control efficiency coefficient calculation model. By combining the calculation model with the finite element model of the rolling process of the Sendzimir 20-roller cold rolling mill, the edge drop control efficiency coefficient is obtained, the adjustment accuracy of the first intermediate roll of the 20-roller cold rolling mill is improved, the edge drop of silicon steel is controlled quickly and effectively, and the silicon steel yield is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of a method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill using the opening degree in a specific embodiment of the present invention.

[0031] Figure 2 It is a schematic diagram of the coordinate system of the steel strip in a specific implementation manner of the present invention.

[0032] Figure 3 It is a schematic diagram of the roll shifting amount of the first intermediate roll of the Sendzimir 20-roller cold rolling mill in a specific embodiment of the present invention.

[0033] Figure 4 It is a schematic diagram of the definition of the opening degree in a specific embodiment of the present invention.

[0034] Figure 5The figure shows the spatial position relationship of the roller system of the Sendzimir 20-roller cold rolling mill in a specific embodiment of the present invention.

[0035] Figure 6 It is a diagram of a three-dimensional explicit elastic-plastic finite element model of the Sendzimir roller system-strip steel integration in a specific implementation manner of the present invention.

[0036] Figure 7 It is a rolling force diagram verified by the Sendzimir roll system-strip integrated three-dimensional explicit elastic-plastic finite element model in the specific implementation manner of the present invention.

[0037] Figure 8 It is a schematic diagram of the measurement position of the transverse thickness of the strip in a specific implementation manner of the present invention.

[0038] Fig. 9 It is a distribution diagram of the edge reduction regulation efficacy coefficient in a specific implementation manner of the present invention. DETAILED DESCRIPTION

[0039] The present invention is described in detail below with reference to the accompanying drawings and embodiments.

[0040] The method of calculating the efficiency coefficient of edge drop control of 20-roller cold rolling mill by using the opening degree is as follows: Figure 1 As shown, the specific steps include:

[0041] Step 1: Simplify the Sendzimir 20-roller cold rolling mill, determine the geometric dimensions of the strip to be rolled, the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill, the material parameters of the strip, the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill, and the rolling process parameters.

[0042] The geometric dimensions of the strip include the width, thickness and length of the strip; the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill include the roll diameter and roll body length of the roll; the material parameters of the strip include density, elastic modulus, Poisson's ratio, yield stress and tangent modulus; the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill include density, elastic modulus and Poisson's ratio; the rolling process parameters include strip outlet thickness, rolling force, applied front tension, applied back tension, rolling speed, roll rotation speed, friction coefficient between each roll and friction coefficient between the roll and the strip.

[0043] This implementation method takes the first pass of the Sendzimir 20-roller cold rolling mill production line of a domestic steel plant as an example, simplifies the Sendzimir 20-roller cold rolling mill, retains the overall roll system and simplifies the rolls, only keeps the most basic shape, deletes unimportant places such as chamfers on the rolls, and retains the most basic structure of the support rolls. Roll necks are added to the working rolls to provide them with rotational force to achieve the appropriate speed set in the simulation, and roll necks are added to both ends of the first intermediate roll to facilitate subsequent roll shifting simulation.

[0044] The geometric dimensions, material parameters and rolling process parameters of the strip and roll are shown in Tables 1 and 2.

[0045] Table 1 Material parameter settings of strip steel and rolls

[0046]

[0047] Table 2 Strip and roll dimension parameters and rolling process parameters

[0048]

[0049] Step 2: Construct a calculation model for the edge-reduction regulation efficacy coefficient.

[0050] Step 2.1: Set a coordinate origin on the strip, and use the length, width and thickness directions of the strip as the X-axis, Y-axis and Z-axis respectively. Figure 2 The three-dimensional coordinate system of the strip is shown, and the coordinates in the length direction, width direction and thickness direction are x, y and z respectively.

[0051] Step 2.2: Divide the strip width direction into feature points every 10 mm from 0 to 100 mm from the strip edge , For feature points The width coordinates of .

[0052] In this embodiment, the coordinates of the characteristic point 0 of the edge of the strip in the width direction are , similarly It is the width direction coordinate of the characteristic point 10mm away from the edge of the strip.

[0053] Step 2.3: Construct a calculation model for the edge-reduction regulation efficacy coefficient.

[0054] The calculation model of the edge drop control efficiency coefficient is defined as the ratio of the thickness change of each characteristic point on the edge of the strip to the opening degree under the control of the first intermediate roll of the Sendzimir 20-roller cold rolling mill. The formula is as follows:

[0055] (1)

[0056] In the formula, For the The degree of opening in each pass, i.e. the distance between the edge of the strip and the tapered section of the first intermediate roller perpendicularly; For the The opening degree in each pass is Time feature point The edge-down control efficiency coefficient; is the road number; For the Feature points in each pass In the opening The thickness change of the edge of the strip.

[0057] The thickness variation of the edge of the strip is:

[0058] (2)

[0059] in, For the Characteristic points after adjustment of the first intermediate roll in each pass The thickness of For the Characteristic points when the first intermediate roll is not adjusted in the pass Thickness.

[0060] like Figure 3 As shown, generally, the edge drop control efficiency coefficient is calculated by the roll shifting amount. However, since the first intermediate roller has a roller shape, the edge drop control efficiency coefficient needs to be recalculated each time the roller shape is changed. Therefore, the present invention uses the roll shifting amount of the first intermediate roller as the Convert to the opening degree to calculate the edge drop control efficiency coefficient. The opening degree is as follows: Figure 4 shown.

[0061] Step 3: According to the geometric dimensions of the strip, the geometric dimensions of the rolls in the Sendzimir 20-roll cold rolling mill, the material parameters of the strip, the material parameters of the rolls in the Sendzimir 20-roll cold rolling mill and the rolling process parameters, a Sendzimir roll system-strip integrated three-dimensional explicit elastic-plastic finite element model is constructed; the Sendzimir roll system-strip integrated three-dimensional explicit elastic-plastic finite element model includes a Sendzimir 20-roll cold rolling mill three-dimensional simulation model and a strip three-dimensional simulation model.

[0062] Step 3.1: Determine the relative position of the rolls in the boring hole of the rolling mill according to the positional relationship of the rolls in the roll system structure and the geometric dimensions of the rolls.

[0063] In this embodiment, based on the complex roll system structure characteristics of the Sendzimir 20-roller cold rolling mill, a new type of cold rolling mill is established according to its boring structure. Figure 5 The coordinate system and the analytical model of the relative position of the roll in the boring hole are shown in the figure. The rolling line is the x-axis and the longitudinal center line of the roll system structure is the y-axis. According to the coordinates of the boring center of the support roll (X C ,Y C ,X D ,Y D ), roll eccentricity (e1~e3) and the angle between adjacent rolls (S1~S6), solve the coordinates of the roll center of each layer one by one, and then obtain the relative position of the roll in the boring hole of the rolling mill. In the figure, A, B, C, D are support rolls, I, J, K are second intermediate rolls, O, P are first intermediate rolls, and S is a working roll.

[0064] Step 3.2: According to the geometric dimensions of the strip, the geometric dimensions of the rolls in the Sendzimir 20-roll cold rolling mill, the material parameters of the strip, the material parameters of the rolls in the Sendzimir 20-roll cold rolling mill, the rolling process parameters and the relative positions of the rolls in the boring holes of the rolling mill, the ANSYS command flow language is used to utilize the nonlinear finite element analysis program ANSYS / LS-DYNA, and the script language for performing finite element modeling and analysis is integrated into a macro command to establish a three-dimensional simulation model of the Sendzimir 20-roll cold rolling mill and a three-dimensional simulation model of the strip. The material parameters are reasonably allocated, and the roll system is constrained in the translational and rotational directions, thereby obtaining a three-dimensional explicit elastic-plastic finite element model of the Sendzimir roll system-strip steel integration.

[0065] In this embodiment, the strip steel is set as elastic-plastic material, the roll is set as elastic material, the roll necks of the working roll and the intermediate roll are set as rigid material, the six bearings of the support roll protrusion are set as elastic material, and the seven eccentric ring saddles are set as rigid material. The elastic and rigid parts of each roll are bonded together using Boolean operation, and the rigid part of the roll system is constrained in the translation and rotation directions. Figure 6 The three-dimensional simulation model of the Sendzimir 20-roller cold rolling mill and the three-dimensional simulation model of the strip steel are shown.

[0066] Step 3.3: Verify the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model. If the verification passes, execute step 4; otherwise, re-establish the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model.

[0067] The method of accuracy verification is:

[0068] The rolling force curve of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model was derived and compared with the actual measured rolling force during on-site rolling. The error of the rolling force in the stable stage did not exceed 5%, and it was considered that the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model met the requirements.

[0069] In this implementation, the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model is verified. During the rolling process of the Sendzimir 20-roll cold rolling mill, the support rolls B and C are pressed down by the force of the oil cylinder on the support rolls. This force is transmitted to the working rolls through the roll system, and finally the working rolls transmit the force to the strip. After the strip is under pressure, it will generate a reaction force on the working rolls. This reaction force is the rolling force. In order to verify the reliability of the calculation results of the Sendzimir rolling mill full roll system-rolled product integrated model, the rolling force curve is compared with the actual measured rolling force in the field rolling, such as Figure 7 As shown, the rolling forces are consistent in magnitude during the stable phase.

[0070] Step 4: Use the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model to simulate the strip rolling, extract the thickness data and opening degree of each characteristic point of the strip edge in the stable rolling stage, and obtain the thickness change of the strip edge under different opening degrees according to the thickness data of each characteristic point, such as Figure 8 As shown, the characteristic points at 0-100mm on the edge are measured.

[0071] Table 3 Extracted feature points Opening degree and thickness variation at the position (0mm from the edge of the strip)

[0072]

[0073] Table 4 Extracted feature points Opening degree and thickness variation at the position (10mm from the edge of the strip)

[0074]

[0075] Table 5 Extracted feature points Opening degree and thickness variation at the position (20mm from the edge of the strip)

[0076]

[0077] Table 6 Extracted feature points Opening degree and thickness variation at the position (30mm from the edge of the strip)

[0078]

[0079] Table 7 Extracted feature points Opening degree and thickness variation at the position (40mm from the edge of the strip)

[0080]

[0081] Table 8 Extracted feature points Opening degree and thickness variation at the position (50mm from the edge of the strip)

[0082]

[0083] Table 9 Extracted feature points Opening degree and thickness variation at the position (60mm from the edge of the strip)

[0084]

[0085] Table 10 Extracted feature points Opening degree and thickness variation at the position (70mm from the edge of the strip)

[0086]

[0087] Table 11 Extracted feature points Opening degree and thickness variation at the position (80mm from the edge of the strip)

[0088]

[0089] Table 12 Extracted feature points Opening degree and thickness variation at the position (90mm from the edge of the strip)

[0090]

[0091] Table 13 Extracted feature points Opening degree and thickness variation at the position (100mm from the edge of the strip)

[0092]

[0093] Step 5: Substitute the obtained opening degree and thickness variation into the calculation model of the edge drop control efficiency coefficient, calculate the edge drop control efficiency coefficient of each feature point, and form Fig. 9 The edge drop control efficiency coefficient curve shown is the corresponding relationship between the opening degree and the edge rise amount.

Claims

1. A method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill using the opening degree, characterized in that: The specific steps include: Step 1: simplify the Sendzimir 20-roller cold rolling mill, determine the geometric dimensions of the strip steel to be rolled, the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill, the material parameters of the strip steel, the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill, and the rolling process parameters; Step 2: Construct a calculation model for the edge-down regulation efficacy coefficient; Step 2.1: Set a coordinate origin on the strip, and use the length direction, width direction and thickness direction of the strip as the X-axis, Y-axis and Z-axis respectively to establish a three-dimensional coordinate system of the strip. The coordinates in the length direction, width direction and thickness direction are x, y and z respectively; Step 2.2: Within the set range from the edge of the strip in the width direction of the strip, divide it into several feature points according to the set intervals. For feature points The width coordinates of , is the number of feature points; Step 2.3: Construct a calculation model for the edge-down regulation efficacy coefficient; The calculation model of the edge drop control efficiency coefficient is defined as the ratio of the thickness change of each characteristic point on the edge of the strip to the opening degree under the control of the first intermediate roll of the Sendzimir 20-roller cold rolling mill. The formula is as follows: （1） In the formula, For the The degree of opening in each pass, i.e. the distance between the edge of the strip and the tapered section of the first intermediate roller perpendicularly; For the The opening degree in each pass is Time feature point The edge-down control efficiency coefficient; is the road number; For the Feature points in each pass In the opening The thickness variation of the edge of the strip steel; The thickness variation of the edge of the strip is: （2） in, For the Characteristic points after adjustment of the first intermediate roll in each pass Thickness, For the Characteristic points when the first intermediate roll is not adjusted in the pass Thickness; Step 3: According to the geometric dimensions of the steel strip, the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill, the material parameters of the steel strip, the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill and the rolling process parameters, a Sendzimir roll system-strip integrated three-dimensional explicit elastic-plastic finite element model is constructed; The Sendzimir roll system-strip steel integrated three-dimensional explicit elastic-plastic finite element model includes a Sendzimir 20-roller cold rolling mill three-dimensional simulation model and a strip steel three-dimensional simulation model; Step 4: Use the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model to simulate the strip rolling, extract the thickness data and opening degree of each characteristic point of the strip edge in the stable rolling stage, and obtain the thickness change of the strip edge under different opening degrees according to the thickness data of each characteristic point; Step 5: Substitute the obtained opening degree and thickness change into the calculation model of the edge drop control efficiency coefficient to calculate the edge drop control efficiency coefficient of each feature point.

2. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 1 is characterized in that: The geometrical dimensions of the steel strip include the width, thickness and length of the steel strip.

3. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 1, characterized in that: The geometrical dimensions of the rolls in the Sendzimir 20-roller cold rolling mill include the roll diameter and the roll body length.

4. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 1 is characterized in that: The material parameters of the steel strip include density, elastic modulus, Poisson's ratio, yield stress and tangent modulus.

5. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 1 is characterized in that: The material parameters of the rollers in the Sendzimir 20-roller cold rolling mill include density, elastic modulus and Poisson's ratio.

6. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 1, characterized in that: The rolling process parameters include the strip exit thickness, rolling force, applied front tension, applied back tension, rolling speed, roll rotation speed, friction coefficient between each roll and friction coefficient between the roll and the strip.

7. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 1, characterized in that: Step 3 specifically includes: Step 3.1: Determine the relative position of the rolls in the boring hole of the rolling mill according to the positional relationship of the rolls in the roll system structure and the geometric dimensions of the rolls; Step 3.2: According to the geometric dimensions of the steel strip, the geometric dimensions of the rolls in the Sendzimir 20-roller cold rolling mill, the material parameters of the steel strip, the material parameters of the rolls in the Sendzimir 20-roller cold rolling mill, the rolling process parameters and the relative positions of the rolls in the boring holes of the rolling mill, a three-dimensional simulation model of the Sendzimir 20-roller cold rolling mill and a three-dimensional simulation model of the steel strip are established, and then a three-dimensional explicit elastic-plastic finite element model of the Sendzimir roll system-strip steel integration is obtained; Step 3.3: Verify the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model. If the verification passes, execute step 4; otherwise, re-establish the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model.

8. The method for calculating the edge drop control efficiency coefficient of a 20-roller cold rolling mill by using the opening degree according to claim 7, characterized in that: The accuracy verification method is: deriving the rolling force curve of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model, and comparing the data with the rolling force actually measured during on-site rolling. If the error of the rolling force does not exceed the set value in the stable stage, the accuracy of the Sendzimir roll system-rolled product three-dimensional elastic-plastic finite element model meets the requirements.

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