Strip steel roughness combined control method and system based on cold rolling and flattening

By combining cold rolling and leveling strip roughness control methods and systems, and using data prediction and adjustment of leveling roll tonnage, the problem of large roughness differences in finished cold-rolled strip steel products has been solved, achieving precise control and consistency.

CN122057787APending Publication Date: 2026-05-19BAOSHAN IRON & STEEL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BAOSHAN IRON & STEEL CO LTD
Filing Date
2024-11-19
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

Existing technologies for roughness control of cold-rolled strip steel fail to effectively consider the impact of the roughness of the incoming material, resulting in large differences in the roughness of the finished product, which affects user use and increases production costs.

Method used

By using a combined method and system for controlling the roughness of strip steel based on cold rolling and leveling, the roughness after leveling is predicted using roughness data after cold rolling, and the roughness is controlled within the target range by adjusting the rolling tonnage of the leveling rolls, thus avoiding the need for additional testing equipment and impact on mechanical properties.

Benefits of technology

It enables precise control of surface roughness without increasing additional costs or affecting the mechanical properties of the product, reducing surface roughness fluctuations within production batches, and ensuring consistent surface roughness of finished products.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a strip steel roughness combined control method based on cold rolling and leveling, which comprises the following steps: 100, based on collected cold rolling data, obtaining the roughness Y1 of a rolled hard coil after a cold rolling process; 200, on the basis of the roughness Y1 after cold rolling and the collected flattening data, predicting a roughness predicted value Y2 of the strip steel after the flattening process; and 300, comparing the roughness predicted value Y2 after leveling with the roughness target range, if the roughness predicted value Y2 after leveling exceeds the roughness target range, adjusting the rolling tonnage of the leveling roller in the leveling process, and returning to the step 200 until the roughness predicted value Y2 after leveling falls within the roughness target range. The invention further discloses a strip steel roughness combined control system based on cold rolling and leveling. The system comprises a roughness obtaining module; a roughness prediction module; and an adjusting module.
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Description

Technical Field

[0001] This invention relates to a method and system for controlling surface roughness, and more particularly to a method and system for controlling the surface roughness of strip steel. Background Technology

[0002] Cold-rolled strip steel possesses excellent mechanical properties, high surface flatness, and high dimensional accuracy, making it widely applicable in the automotive and home appliance industries. Surface roughness, as a crucial performance indicator, significantly impacts users' stamping and painting processes.

[0003] In the production of hard-rolled coils, the strip needs a certain surface roughness to prevent interlayer adhesion or deviation during subsequent annealing. This roughness is typically achieved by using texturing rolls on the final cold rolling mill stand. The surface roughness is influenced by the roughness of the final mill rolls, rolling force, and rolling tonnage. Furthermore, in actual production, the strip is typically rolled from wide to narrow, and the surface roughness decreases as the rolling tonnage increases. Therefore, within a production batch, the surface roughness of strips at different production stages will vary.

[0004] Furthermore, after annealing, the hard-rolled coil needs to be leveled. This leveling process imparts a certain degree of roughness to the strip surface. The surface roughness of the leveled strip is affected by the surface roughness of the incoming material, the roughness of the rolls, the rolling force, and the rolling tonnage factor. Similarly, the surface roughness of the leveled strip varies depending on the hard-rolled coil and the leveling rolling cycle, resulting in significant differences in the roughness delivered to the user, which can pose potential risks during use.

[0005] In the prior art, existing patent literature relates to methods for controlling the roughness of strip steel, among which:

[0006] For example, Chinese patent document CN116851456A, published on October 10, 2023, entitled "A Method for Controlling the Roughness of Cold-Rolled Wet-Leveled Strip Steel," discloses a method for controlling the roughness of cold-rolled wet-leveled strip steel. This patent document compensates for the decrease in roll roughness by adjusting the strip leveling elongation rate. However, the leveling elongation rate has a significant impact on the mechanical properties of the product, especially the yield strength. Furthermore, this method does not consider the influence of the roughness of the incoming material on the roughness of the finished product.

[0007] For example, Chinese patent document CN101537431A, published on September 23, 2009, entitled "Online Prediction and Control Method for Surface Roughness of Cold-Rolled Thin Strip Steel," discloses an online prediction and control method for the surface roughness of cold-rolled thin strip steel. This patent document also adjusts the strip roughness by adjusting the leveling elongation rate, which affects the mechanical properties of the product, and similarly fails to consider the impact of the leveled incoming material roughness on the finished product roughness.

[0008] For example, Chinese patent document CN107008758A, published on August 4, 2017, entitled "Online Control Method and System for High-Precision Surface Roughness of Cold-Rolled Strip Steel," discloses an online control method and system for high-precision surface roughness of cold-rolled strip steel. This patent document proposes adjusting the leveling rolling force through leveling tension and bending roll force. However, in actual production, the adjustment range of leveling tension and bending roll force is relatively small, and their impact on the leveling rolling force is limited. Summary of the Invention

[0009] One of the objectives of this invention is to provide a method for joint control of strip roughness based on cold rolling and leveling. This method can achieve precise roughness control without adding additional testing equipment or affecting the mechanical properties of the product.

[0010] To achieve the above objectives, the present invention provides a method for combined control of strip roughness based on cold rolling and leveling, comprising the following steps:

[0011] 100: Based on the collected cold rolling data, obtain the surface roughness Y1 of the cold-rolled hard coil after the cold rolling process;

[0012] 200: Based on the cold-rolled roughness Y1 and the collected leveling data, predict the leveled roughness Y2 of the strip after the leveling process.

[0013] 300: Compare the predicted roughness value Y2 after leveling with the target roughness range. If the predicted roughness value Y2 after leveling exceeds the target roughness range, adjust the leveling roll tonnage of the leveling process and return to step 200 until the predicted roughness value Y2 after leveling falls within the target roughness range.

[0014] Furthermore, in step 300 of the strip roughness joint control method of the present invention, when the predicted roughness value Y2 after leveling is greater than the upper limit of the roughness target range, the leveling roll tonnage is increased; when the predicted roughness value Y2 after leveling is less than the lower limit of the roughness target range, the leveling roll tonnage is decreased.

[0015] Furthermore, in step 100 of the strip roughness joint control method of the present invention, the cold rolling data includes the roll roughness, roll rolling force and roll rolling tonnage of the cold rolling end stand, to obtain the roughness of the hard-rolled coil.

[0016] Furthermore, in step 100 of the strip roughness joint control method of the present invention, the cold-rolled roughness Y1 is obtained based on the following formula:

[0017] Y1=a1×X 1-1 -b1×ln(X 1-2 ) 1.5

[0018] Among them, X 1-1 X represents the roll roughness of the cold rolling mill stand. 1-2 denoted by , a1 represents the roll tonnage of the cold rolling mill stand, b1 represents the influence coefficient of the roll roughness copy rate of the cold rolling mill stand, and b1 represents the influence coefficient of the roll tonnage of the cold rolling mill stand.

[0019] Furthermore, in the strip roughness joint control method described in this invention, the rolling tonnage X of the cold rolling mill's final stand... 1-2 ≥100 tons.

[0020] In this invention, the surface roughness of the rolls decays rapidly in the early stages of production, gradually decreasing after reaching 100 tons. Therefore, the rolling tonnage X of the cold rolling mill's final stand... 1-2 It can be controlled to be greater than or equal to 100 tons.

[0021] Furthermore, in the strip roughness joint control method of the present invention, the roll roughness copy rate a1 of the cold rolling mill final stand is determined based on the following formula:

[0022] a1 = c1 × E + d1 × F

[0023] Where E represents the tensile strength of the material, F represents the rolling force per unit width of the final cold rolling stand, c1 represents the copy factor related to the steel grade in the cold rolling process, and d1 represents the copy factor related to the rolling force in the cold rolling process. c1 and d1 can be determined based on field experiments.

[0024] Furthermore, in step 200 of the strip roughness joint control method of the present invention, the roughness Y2 after leveling is obtained based on the following formula:

[0025] Y2=Y1+a2×X 2-1 -b2×X 2-2

[0026] Among them, X 2-1 X represents the roughness of the leveling roller. 2-2a2 represents the tonnage of the leveling roll, b2 represents the influence coefficient of the leveling roll roughness copy rate, and b2 represents the influence coefficient of the leveling roll tonnage.

[0027] Furthermore, in the strip roughness joint control method of the present invention, the roughness copying rate influence coefficient a2 of the leveling roll is determined based on the following formula:

[0028] a² = c² × E + d² × f

[0029] Where E represents the tensile strength of the material, f represents the historical average rolling force per unit width of the leveling process, c2 represents the copy factor related to the steel grade in the leveling process, and d2 represents the copy factor related to the rolling force in the leveling process.

[0030] Another objective of this invention is to provide a strip roughness joint control system based on cold rolling and leveling. This system has a significant effect on reducing the roughness difference between different steel coils within a production batch. It can achieve precise roughness control without adding additional testing equipment and without affecting the mechanical properties of the product.

[0031] To achieve the above objectives, the present invention provides a strip roughness joint control system based on cold rolling and leveling, comprising:

[0032] The roughness acquisition module obtains the post-cold-rolled roughness Y1 of the hard-rolled coil after the cold rolling process based on the collected cold rolling data.

[0033] The roughness prediction module predicts the roughness Y2 of the strip after the leveling process based on the cold-rolled roughness Y1 and the collected leveling data.

[0034] The adjustment module compares the predicted roughness value Y2 after leveling with the target roughness range. If the predicted roughness value Y2 after leveling exceeds the target roughness range, it issues an instruction to adjust the rolling tonnage of the leveling roll in the leveling process.

[0035] Furthermore, in the strip roughness joint control system of the present invention, when the predicted roughness value Y2 after leveling is greater than the upper limit of the roughness target range, the adjustment module issues an instruction to increase the rolling tonnage of the leveling roll; when the predicted roughness value Y2 after leveling is less than the lower limit of the roughness target range, the adjustment module issues an instruction to decrease the rolling tonnage of the leveling roll.

[0036] Compared with existing technologies, the strip roughness joint control method and system based on cold rolling and leveling described in this invention has the following advantages and beneficial effects:

[0037] The method and system for joint control of strip roughness based on cold rolling and leveling described in this invention can accurately control roughness and reduce roughness fluctuations within a production batch without increasing the additional costs of online detection equipment or adjusting the leveling elongation rate to affect mechanical properties.

[0038] The method and system for combined control of strip roughness based on cold rolling and leveling described in this invention can make the roughness fluctuation of strip less than 0.2μm within a production cycle. Attached Figure Description

[0039] Figure 1 The diagram schematically illustrates a process flow chart of one embodiment of the strip roughness joint control method based on cold rolling and leveling described in this invention.

[0040] Figure 2 The diagram schematically illustrates the system architecture of the strip roughness joint control system based on cold rolling and leveling as described in this invention.

[0041] Figure 3 The diagram illustrates the surface roughness attenuation values ​​of strip steel measured at different rolling tonnages.

[0042] Figure 4 The diagram illustrates the measured strip roughness values ​​at different leveling rolling tonnages.

[0043] Figure 5 The diagram schematically illustrates the roughness comparison after leveling in embodiments and comparative examples of the present invention. Detailed Implementation

[0044] The following will further describe the method and system for combined control of strip roughness based on cold rolling and leveling according to specific embodiments of the present invention and the accompanying drawings. However, this description does not constitute an improper limitation of the present invention.

[0045] In the actual rolling process of cold-rolled strip steel, the surface roughness of the hard-rolled coil inevitably decreases gradually with the increase of rolling tonnage. However, due to cost considerations, frequent roll changes are not feasible. Therefore, within a batch of cold-rolled strip steel, the surface roughness of hard-rolled coils produced at different production tonnages varies. Furthermore, because the rolling mill operates at high speeds, the surface roughness of hard-rolled coils is typically checked by sampling several coils at a time. Consequently, not every hard-rolled coil has surface roughness data available, which introduces uncontrollable risks to subsequent surface roughness control after leveling.

[0046] The surface roughness of the leveled strip is formed by adding the roughness replicated during the leveling process to the roughness of the rolled coil. Furthermore, during the leveling process, there is a gradual decrease in roughness as the rolling tonnage increases. Ultimately, the surface roughness after leveling, due to the difference in roughness between the rolled coil and the roughness differences during the leveling process, results in significant roughness variations within a single production batch, posing a considerable risk to the product's use.

[0047] To address the aforementioned problems, this invention provides a method and system for combined control of strip roughness based on cold rolling and leveling.

[0048] Figure 1 The diagram schematically illustrates a process flow chart of one embodiment of the strip roughness joint control method based on cold rolling and leveling described in this invention.

[0049] like Figure 1 As shown, the method for joint control of strip roughness based on cold rolling and leveling according to the present invention includes the following steps:

[0050] 100: Based on the collected cold rolling data, obtain the surface roughness Y1 of the cold-rolled hard coil after the cold rolling process.

[0051] In some implementations, cold rolling data may include the roll roughness, roll rolling force, and roll rolling tonnage of the cold rolling end stand.

[0052] In some specific implementations, texturized rolls can be used as the work rolls on the cold rolling mill stand.

[0053] In some embodiments, in step 100, the surface roughness Y1 after cold rolling can be obtained based on the following formula:

[0054] Y1=a1×X 1-1 -b1×ln(X 1-2 ) 1.5

[0055] Among them, X 1-1 X represents the roll roughness of the cold rolling mill stand. 1-2 The value represents the rolling tonnage of the cold rolling mill stand, a1 represents the influence coefficient of the roll roughness copy rate of the cold rolling mill stand, and b1 represents the influence coefficient of the rolling tonnage of the cold rolling mill stand, which is an empirical value obtained based on historical data.

[0056] In some more specific implementations, the roll roughness copy rate a1 of the cold rolling mill stand is determined based on the following formula:

[0057] a1 = c1 × E + d1 × F

[0058] Where E represents the tensile strength of the material, F represents the rolling force per unit width of the cold rolling mill stand, c1 represents the copy factor related to the steel grade in the cold rolling process, and d1 represents the copy factor related to the rolling force in the cold rolling process.

[0059] In some more specific embodiments, the rolling tonnage X of the cold rolling mill stand is... 1-2 The roll roughness X of the cold rolling mill stand can be controlled to be greater than or equal to 100 tons. 1-1 It can be controlled within the range of 2.4-3.6μm.

[0060] In this invention, the surface roughness of the rolls decays rapidly in the early stages of production, gradually decreasing after reaching 100 tons. Therefore, the rolling tonnage X of the cold rolling mill's final stand... 1-2 It can be controlled to be greater than or equal to 100 tons. The roughness range of the rolls in the cold rolling mill is mainly related to the roughness requirements of the product. High-roughness rolls are used when the product requires high roughness, and low-roughness rolls are used when the product requires low roughness.

[0061] 200: Based on the surface roughness Y1 after cold rolling and the collected leveling data, predict the surface roughness Y2 of the strip after the leveling process.

[0062] In some specific implementations, the surface roughness Y2 after leveling can be obtained based on the following formula:

[0063] Y2=Y1+a2×X 2-1 -b2×X 2-2

[0064] Among them, X 2-1 X represents the roughness of the leveling roller. 2-2 a2 represents the tonnage of the leveling roll, b2 represents the influence coefficient of the leveling roll roughness copy rate, and b2 represents the influence coefficient of the leveling roll tonnage.

[0065] In some more specific implementations, the influence coefficient a2 of the roughness of the leveling roller on the copy rate can be determined based on the following formula:

[0066] a² = c² × E + d² × f

[0067] Where E represents the tensile strength of the material, f represents the historical average rolling force per unit width of the leveling process, c2 represents the copy factor related to the steel grade in the leveling process, and d2 represents the copy factor related to the rolling force in the leveling process.

[0068] In some more specific embodiments, the roughness X of the leveling roller 2-1The roughness can be controlled within the range of 1.6-3.5μm. The roughness range of the leveling roll is mainly related to the roughness requirements of the product. High-roughness rolls are used when the product requires high roughness, and low-roughness rolls are used when the product requires low roughness.

[0069] 300: Compare the predicted roughness value Y2 after leveling with the target roughness range. If the predicted roughness value Y2 after leveling exceeds the target roughness range, adjust the leveling roll tonnage of the leveling process and return to step 200 until the predicted roughness value Y2 after leveling falls within the target roughness range.

[0070] In some specific implementations, in step 300, when the predicted roughness value Y2 after leveling is greater than the upper limit of the roughness target range, the leveling roll tonnage is increased; when the predicted roughness value Y2 after leveling is less than the lower limit of the roughness target range, the leveling roll tonnage is decreased.

[0071] In some more specific implementations, the target roughness range can be characterized as R0 ± ΔR, where when the Y2 value is greater than R0 + ΔR, the leveling rolling tonnage is increased, and when the Y2 value is less than R0 - ΔR, the leveling rolling tonnage is decreased. R0 represents the target roughness value of the strip, and ΔR is the acceptable range of strip roughness fluctuations.

[0072] Figure 2 The diagram schematically illustrates the system architecture of the strip roughness joint control system based on cold rolling and leveling as described in this invention, in one embodiment.

[0073] like Figure 2 As shown, in another embodiment of the present invention, a strip roughness joint control system based on cold rolling and leveling is also provided, which executes the control method described above. This strip roughness joint control system may include:

[0074] The roughness acquisition module 101 obtains the cold-rolled roughness Y1 of the hard-rolled coil after the cold rolling process based on the collected cold rolling data.

[0075] The roughness prediction module 102 predicts the roughness Y2 of the strip after the leveling process based on the cold-rolled roughness Y1 and the collected leveling data.

[0076] The adjustment module 103 compares the predicted roughness value Y2 after leveling with the target roughness range. If the predicted roughness value Y2 after leveling exceeds the target roughness range, it issues an instruction to adjust the rolling tonnage of the leveling roll in the leveling process.

[0077] In some implementations, when the predicted roughness value Y2 after leveling is greater than the upper limit of the roughness target range, the adjustment module 103 issues an instruction to increase the leveling roll tonnage; when the predicted roughness value Y2 after leveling is less than the lower limit of the roughness target range, the adjustment module 103 issues an instruction to decrease the leveling roll tonnage.

[0078] In this invention, the roughness acquisition module 101, the roughness prediction module 102, and the adjustment module 103 can be implemented in any suitable manner, for example, in the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicon Labs C8051F320.

[0079] To verify the method and system for combined control of strip roughness based on cold rolling and leveling described in this invention, a specific embodiment is provided for further illustration.

[0080] In this embodiment, strip steel with a tensile strength grade of 290MPa is produced in batches, and the roll roughness X of the cold rolling mill's final stand is... 1-1 The roughness of the strip is 3.5μm. During the production process, the rolling force of the last stand of the rolling mill and the rolling tonnage of the rolls are recorded, and the roughness of the strip is measured every 5 rolls.

[0081] First, the surface roughness Y1 after cold rolling is calculated using the control method provided by this invention. The copy factor c1 related to the steel grade and the copy factor d1 related to the rolling force are determined through field experiments. Strips with different tensile strengths are placed under different roll roughnesses, and the rolling force and strip roughness are recorded for the first roll change. For example, after producing a steel grade with a tensile strength of 270 MPa using rolls with a roughness of 3.5 μm, the corresponding rolling force per unit width is 5.19 KN, and the strip surface roughness is 1.28 μm; after producing a steel grade with a tensile strength of 300 MPa using rolls with a roughness of 3.5 μm, the corresponding rolling force per unit width is 5.67 KN, and the strip surface roughness is 1.43 μm. Based on the above experimental data:

[0082] For steel grades with a tensile strength of 270 MPa, the surface roughness is:

[0083] 1.38 / 3.5 = c1 × 270 + d1 × 5.19

[0084] For steel grades with a tensile strength of 300 MPa, the surface roughness is:

[0085] 1.49 / 3.5 = c1 × 300 + d1 × 5.67

[0086] Therefore, we can calculate c1 = -0.00065 and d1 = 0.11.

[0087] Based on this, the influence coefficient a1 of the roughness copy rate of the mill end and stand rolls can be further calculated.

[0088] Based on historical data of strip surface roughness measured at different rolling tonnages during previous cold rolling production processes, the influence coefficient b1 of the rolling tonnage can be obtained through data regression. Figure 3 The diagram schematically shows the surface roughness attenuation values ​​of strip steel measured at different rolling tonnages. The roughness attenuation value refers to the difference between the roughness of the strip steel measured at different rolling tonnages and the roughness of the first roll.

[0089] In this way, the surface roughness data of all steel coils in a production batch after cold rolling can be obtained.

[0090] Table 1 lists the cold-rolled surface roughness data of all steel coils in a production batch of an embodiment of the present invention.

[0091] Table 1.

[0092]

[0093] As can be seen from Table 1 above, the roughness Y1 after cold rolling is in good agreement with the measured roughness data.

[0094] The obtained coils 3 to 24 are annealed and leveled. Then, based on the material tensile strength grade E and the historical average rolling force per unit width during leveling, the copy factor c2 related to the steel grade and the copy factor d2 related to the rolling force during leveling are calculated. In this embodiment, for steel with a tensile strength grade of 270MPa, when produced with leveling rolls with a roughness of 3.3μm, the rolling force per unit width is 1.3KN / mm. The roughness of the strip after leveling increases by 0.16μm compared to the hard-rolled coil, thus obtaining:

[0095] 0.16 = c² × 270 + d² × 1.3

[0096] For steel with a tensile strength of 300 MPa, when produced using leveling rolls with a roughness of 3.3 μm, the rolling force per unit width is 3.3 KN / mm. After leveling, the roughness of the strip increases by 0.25 μm compared to that of a hard-rolled coil, thus yielding:

[0097] 0.25 = c² × 300 + d² × 3.3

[0098] Therefore, we can obtain the copying coefficient c2 related to the steel grade and the copying coefficient d2 related to the rolling force during the leveling process. Furthermore, we can obtain the influence coefficient a of the leveling roll roughness copying rate. 2。

[0099] Furthermore, based on historical data of strip surface roughness measured at different rolling tonnages during the previous leveling production process, the influence coefficient b2 of the leveling roll tonnage can be derived. Figure 4 The table shows the measured strip roughness values ​​under different leveling rolling tonnages. The influence coefficient b2 of the leveling roll tonnage can be obtained by data fitting.

[0100] In this way, the surface roughness data of all steel coils in a production batch after flattening can be obtained.

[0101] Then, the surface roughness Y2 of the strip after leveling can be predicted based on different production tonnages. In this embodiment, the target roughness range R0±ΔR is set to 1.0±0.1μm. For roll 3, in order to meet the surface roughness requirement of 1.0±0.1μm for the strip after leveling, the leveling rolling tonnage X... 2-2 The strip roughness Y2 should be arranged within the range of 479-1923 tons. When the tonnage is less than 479 tons, the strip roughness Y2 will exceed 1.0±0.1μm; when the tonnage is greater than 1923 tons, the strip roughness Y2 will be less than 1.0±0.1μm. (The text also mentions the tonnage for leveling and rolling coil 4, but this seems unrelated to the previous sentence and is likely a separate point.) 2-2 The tonnage should be arranged within the range of 262-1706 tons, and so on, for 24 coil leveling rolling tonnage X 2-2 The amount should be kept below 335 tons to ensure that the strip roughness Y2 falls within the range of 1.0±0.1μm.

[0102] Tables 2-1 and 2-2 list the surface roughness data of each steel coil in a production batch of an embodiment of the present invention after leveling.

[0103] Table 2-1.

[0104]

[0105]

[0106] Table 2-2.

[0107]

[0108]

[0109] As can be seen from Table 2 above, the surface roughness Y2 after leveling is in good agreement with the measured roughness data, and the surface roughness Y2 after leveling meets the range of 1.0±0.1μm.

[0110] Table 3 lists the surface roughness data of all steel coils in a comparative example that did not employ the control method described in this invention in another production batch.

[0111] Table 3.

[0112]

[0113] As can be seen from Table 3 above, in the comparative example of another production batch, the maximum roughness of the strip after leveling reached 1.35 μm, and the minimum was 0.83 μm, indicating a large difference in roughness within a single production batch.

[0114] Figure 5 The diagram schematically illustrates a comparison of the surface roughness after leveling in embodiments of the present invention and a comparative example. The comparative example shows the surface roughness of the finished product obtained without employing the control method described in this invention. It can be seen that in the comparative example, the surface roughness difference within a single production batch reaches 0.52 μm. The surface roughness is higher in the early stages of rolling and lower in the later stages, with only 7 coils meeting the surface roughness requirements, negatively impacting user performance and production costs. In the embodiments of the present invention, the surface roughness of a single production batch of steel coils remains within a stable level, with a maximum surface roughness difference of 0.17 μm. The surface roughness requirements are also met in the later stages of leveling and rolling, and the number of steel coils produced in a single batch is significantly greater than in the comparative example.

[0115] It should be noted that the scope of protection of the prior art in this invention is not limited to the embodiments given in this application. All prior art that does not contradict the solution of this invention, including but not limited to prior patent documents, prior publications, prior public uses, etc., can be included in the scope of protection of this invention.

[0116] Furthermore, the combination of the technical features in this case is not limited to the combination methods described in the claims of this case or the combination methods described in the specific embodiments. All technical features described in this case can be freely combined or combined in any way, unless they contradict each other.

[0117] It should also be noted that the embodiments listed above are merely specific embodiments of the present invention. Obviously, the present invention is not limited to the above embodiments, and similar changes or modifications made thereto are those that can be directly derived or easily conceived by those skilled in the art from the content disclosed in the present invention, and should all fall within the protection scope of the present invention.

Claims

1. A method for combined control of strip roughness based on cold rolling and leveling, characterized in that, Including the following steps: 100: Based on the collected cold rolling data, obtain the post-cold rolling roughness Y1 of the hard-rolled coil after the cold rolling process; 200: Based on the cold-rolled roughness Y1 and the collected leveling data, predict the leveled roughness Y2 of the strip after the leveling process. 300: Compare the predicted roughness value Y2 after leveling with the target roughness range. If the predicted roughness value Y2 after leveling exceeds the target roughness range, adjust the leveling roll tonnage of the leveling process and return to step 200 until the predicted roughness value Y2 after leveling falls within the target roughness range.

2. The method for joint control of strip roughness as described in claim 1, characterized in that, In step 300, when the predicted roughness value Y2 after leveling is greater than the upper limit of the roughness target range, the leveling roll tonnage is increased; when the predicted roughness value Y2 after leveling is less than the lower limit of the roughness target range, the leveling roll tonnage is decreased.

3. The method for joint control of strip roughness as described in claim 1, characterized in that, In step 100, the cold rolling data includes the roll roughness, roll rolling force, and roll rolling tonnage of the cold rolling end stand, to obtain the roughness of the hard-rolled coil.

4. The method for joint control of strip roughness as described in claim 3, characterized in that, In step 100, the surface roughness Y1 after cold rolling is obtained based on the following formula: Y1=a1×X 1-1 -b1×ln(X 1-2 ) 1.5 Among them, X 1-1 X represents the roll roughness of the cold rolling mill stand. 1-2 denoted by , a1 represents the roll tonnage of the cold rolling mill stand, b1 represents the influence coefficient of the roll roughness copy rate of the cold rolling mill stand, and b1 represents the influence coefficient of the roll tonnage of the cold rolling mill stand.

5. The method for joint control of strip roughness as described in claim 4, characterized in that, The rolling tonnage of the cold rolling mill's final stand (X) 1-2 ≥100 tons.

6. The method for joint control of strip roughness as described in claim 4, characterized in that, The roll roughness copy rate a1 of the cold rolling mill stand is determined based on the following formula: a1 = c1 × E + d1 × F Where E represents the tensile strength of the material, F represents the rolling force per unit width of the cold rolling mill stand, c1 represents the copy factor related to the steel grade in the cold rolling process, and d1 represents the copy factor related to the rolling force in the cold rolling process.

7. The method for joint control of strip roughness as described in claim 1, characterized in that, In step 200, the smoothed roughness Y2 is obtained based on the following formula: Y2=Y1+a2×X 2-1 -b2×X 2-2 Among them, X 2-1 X represents the roughness of the leveling roller. 2-2 a2 represents the tonnage of the leveling roll, b2 represents the influence coefficient of the leveling roll roughness copy rate, and b2 represents the influence coefficient of the leveling roll tonnage.

8. The method for joint control of strip roughness as described in claim 7, characterized in that, The influence coefficient a2 of the roughness of the leveling roller on the copying rate is determined based on the following formula: a² = c² × E + d² × f Where E represents the tensile strength of the material, f represents the historical average rolling force per unit width of the leveling process, c2 represents the copy factor related to the steel grade in the leveling process, and d2 represents the copy factor related to the rolling force in the leveling process.

9. A strip roughness joint control system based on cold rolling and leveling, characterized in that, include: The roughness acquisition module obtains the post-cold-rolled roughness Y1 of the hard-rolled coil after the cold rolling process based on the collected cold rolling data. The roughness prediction module predicts the roughness Y2 of the strip after the leveling process based on the cold-rolled roughness Y1 and the collected leveling data. The adjustment module compares the predicted roughness value Y2 after leveling with the target roughness range. If the predicted roughness value Y2 after leveling exceeds the target roughness range, it issues an instruction to adjust the rolling tonnage of the leveling roll in the leveling process.

10. The strip roughness joint control system as described in claim 9, characterized in that, When the predicted roughness value Y2 after leveling is greater than the upper limit of the roughness target range, the adjustment module issues an instruction to increase the leveling roll tonnage; when the predicted roughness value Y2 after leveling is less than the lower limit of the roughness target range, the adjustment module issues an instruction to decrease the leveling roll tonnage.