Metal composite rolling layering thickness regulation and control method

Abstract

The invention relates to a metal composite rolling layering thickness regulation and control method, which belongs to the technical field of metal composite material rolling and comprises the following steps: S1, acquiring target data in a rolling process; s2, on the basis of the target data, a dynamic overall rigidity model of the composite rolling process is constructed; s3, based on the thickness ratio, correcting the interface coordination rigidity in the dynamic overall rigidity model; s4, based on the dynamic overall rigidity model after parameter correction, adopting a two-stage self-adaptive hybrid optimization strategy to solve the thickness of a base layer and the thickness of a covering layer; and S5, according to the thickness of the base layer and the thickness of the covering layer, the roll gap adjustment amount is corrected, and partition control is achieved. According to the invention, the problem that the thickness of each layer in the composite board is difficult to coordinate and control is effectively solved, and a reliable technical scheme is provided for stable and efficient production of high-quality composite boards.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of metal composite rolling, in particular to a metal composite rolling layered thickness control method. BACKGROUND

[0002] In the composite plate rolling process, due to the difference in material properties between the base layer and the cladding layer, even under the same rolling conditions, the thickness change behavior of the two is inconsistent. At present, the traditional thickness control system can only adjust the overall thickness of the composite plate, but cannot realize independent control of the thickness of the base layer and the cladding layer, making it difficult to stably control the thickness uniformity and interface quality of the rolled composite plate. Therefore, there is an urgent need for a new method that can coordinate the control of the base and cladding thickness of the composite plate. SUMMARY

[0003] The purpose of the present application is to provide a metal composite rolling layered thickness control method to solve the problems existing in the prior art and realize the function of metal composite rolling layered thickness control.

[0004] To achieve the above purpose, the present application provides the following scheme: A metal composite rolling layered thickness control method, comprising: S1. Obtain target data in the rolling process; S2. Based on the target data, construct a dynamic overall stiffness model of the composite rolling process; S3. Based on the thickness ratio, correct the interface coordination stiffness in the dynamic overall stiffness model; S4. Based on the dynamic overall stiffness model after correction parameters, adopt a two-stage adaptive hybrid optimization strategy to solve the thickness of the base layer and the cladding layer; S5. According to the thickness of the base layer and the cladding layer, correct the roll gap adjustment amount to realize partition control.

[0005] Optionally, the dynamic overall stiffness model includes a material stiffness term, a coordination stiffness term, and is integrated into an overall stiffness through a dynamic weight factor; The dynamic overall stiffness model is: Wherein, is the overall stiffness; is the dynamic weight factor, is the coordination stiffness term, is the material stiffness term; The material stiffness term is: Wherein, is the base layer thickness; is the overall thickness; is the base layer material stiffness; is the overlay thickness; is the overlay material stiffness; The synergic stiffness term is: wherein, is the interface coordination stiffness.

[0006] Optionally, the modifying the interface coordination stiffness in the dynamic global stiffness model based on the thickness ratio comprises: determining the thickness ratio falls into a preset interval according to the thickness ratio, and modifying the interface coordination stiffness; wherein, the preset interval comprises: a low thickness ratio interval, a medium thickness ratio interval, and a high thickness ratio interval.

[0007] Optionally, the calculation method of the thickness ratio is: wherein, is the thickness ratio; is the base layer thickness; is the overlay thickness; is the base layer material stiffness; is the overlay material stiffness; The low thickness ratio interval is: the overlay thickness is obviously smaller than the base layer thickness, the base layer dominates the overall deformation, and belongs to a base layer dominant interval. The medium thickness ratio interval is: the deformation of the base layer and the overlay presents a coupling feature of synergy and competition, and belongs to a transition coupling interval. The high thickness ratio interval is: the overlay thickness is obviously larger than the base layer, the overlay dominates the overall deformation, and belongs to an overlay dominant interval.

[0008] Optionally, the modifying the interface coordination stiffness comprises: in the low thickness ratio interval, introducing an overlay factor to modify the interface coordination stiffness; the overlay factor is obtained by fitting historical data of the low thickness ratio interval; in the medium thickness ratio interval, introducing a coupling factor to modify; the coupling factor is obtained by fitting historical data of the medium thickness ratio interval; in the high thickness ratio interval, introducing a base layer factor to modify; the base layer factor is obtained by fitting historical data of the high thickness ratio interval.

[0009] Optionally, the adaptive hybrid optimization strategy includes a global optimization phase and a local optimization phase; wherein the global optimization phase is used to conduct extensive exploration within the solution space; and the local optimization phase is used to achieve precise convergence based on the results of the global optimization phase.

[0010] Optionally, S4 includes: S41. Construct the bounce equation and rolling force equation; S42. Construct the objective function: in, The objective function is... This is the measured rolling force; For the calculated rolling force; For the overall thickness calculated; and The coefficient used to balance the weights of the two biases; S43. Global Optimization; S44. Local optimization.

[0011] Optionally, S43. Global optimization includes: S431. Initialize the global optimizer: Select the preset global optimization algorithm; initialize the particle swarm size and particle positions, and set the maximum number of iterations for the global stage. As a termination condition; wherein, the particle position represents a set of layer thickness solutions; S432. Global Iteration Loop: (1) For the first In the next iteration, the fitness value of each particle is calculated; (2) Update the historical best position and global historical best position for each particle; (3) Iteratively solve the problem according to the preset global optimization algorithm; (4) Perform adaptive switching judgment: from the first ( (And the integer) Start from the generation, calculate continuously The relative improvement rate of fitness corresponding to the global historical best position within the generation. If the relative improvement rate is less than the adaptive threshold, it is determined that the global search has been completed, and step S433 is executed to output the global stage result. (5) If adaptive switching is not triggered and Then continue iterating until it reaches... End at time; S433. Output the global stage results as the initial point for the local optimization stage.

[0012] Optionally, S44. Local optimization includes: S441. Set the convergence tolerance for local search. Maximum number of iterations ; S442 enters a local iteration loop, including: (1) For the first In the next iteration, the result of the global stage is used as the initial result of the local iteration. ; (2) The objective function is calculated using the numerical difference method. In the present gradient vector at : ; in, For the objective function in The gradient vector at that point; This is the partial derivative of the objective function with respect to the thickness of the base layer; This is the partial derivative of the objective function with respect to the coating thickness; (3) Update the estimated value of the solution vector: ; in, The updated solution vector; The learning rate; (4) Perform convergence judgment.

[0013] Optionally, in S5, the thickness ratio zone is determined according to the thickness of the base layer and the overlay, and different weighting coefficients are selected to adjust the roll gap; The formula for calculating the roll gap adjustment is: ; In the formula, This refers to the roller gap adjustment amount; This is a correction factor; It is the equivalent plasticity coefficient; This is for thickness deviation; This is due to the thickness deviation of the base layer; This refers to the deviation in coating thickness. This represents the weighting coefficient for the grassroots level. This is the coating weighting coefficient; In addition to ensuring that the overall outlet thickness meets the target, the thickness requirements of each layer must also be met. Therefore, a base layer weighting coefficient is introduced. and cladding weight coefficient The roll gap adjustment is corrected. Both coefficients are dimensionless parameters, and their values ​​are obtained by fitting historical data. The correction method varies depending on the thickness ratio zone. In areas with low thickness ratios, a base layer weighting coefficient is introduced. and cladding weight coefficient The roll gap adjustment amount is corrected; among which, the base layer weight coefficient is... Less than the coating weight coefficient ; In the medium thickness ratio zone, a base layer weighting coefficient is introduced. and cladding weight coefficient The roll gap adjustment amount is corrected; among which, the base layer weight coefficient is... With cladding weight coefficient Within the preset range of differences; In areas with high thickness ratios, a base layer weighting coefficient is introduced. and the weighting coefficient of the cladding layer is The roll gap adjustment amount is corrected; among which, the base layer weight coefficient is... Greater than the coating weight coefficient .

[0014] The beneficial effects of this invention are as follows: This invention constructs a model that can solve the thickness of each layer inside a composite board online, solving the problem of the inability to obtain the internal thickness, thereby improving the quality of the product.

[0015] This invention uses the macroscopic working condition diagnosis of thickness ratio partitioning to correct the model parameter of interface coordination stiffness, enabling the physical model to have dynamic adaptive intelligence and improving the model's accuracy and generalization ability.

[0016] This invention employs an adaptive hybrid optimization strategy, which automatically switches the search phase by intelligently judging the convergence state, effectively avoiding the problem of traditional optimization algorithms easily getting trapped in local optima and ensuring the robustness of online calculation results.

[0017] The system of this invention is no longer a single, rigid controller, but an intelligent agent with decision-making capabilities. It can automatically identify the thickness ratio region of the current state and adjust the roll gap accordingly to achieve intelligent production. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating the overall workflow of a metal composite rolling layer thickness control method according to an embodiment of the present invention. Figure 2 This is a flowchart illustrating an embodiment of the present invention; Figure 3This is a flowchart illustrating the hybrid optimization process according to an embodiment of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] like Figures 1-2 As shown, this embodiment proposes a method for controlling the layer thickness in metal composite rolling, including: S1. Obtain target data during the rolling process; S2. Based on the target data, construct a dynamic overall stiffness model for the composite rolling process; S3. Based on the thickness ratio, the interface coordination stiffness in the dynamic overall stiffness model is corrected; S4. Based on the dynamic overall stiffness model with corrected parameters, a two-stage adaptive hybrid optimization strategy is adopted to solve for the thickness of the base layer and the overcoat layer; S5. Based on the thickness of the base layer and the coating layer, the roller gap adjustment amount is corrected to achieve zoned control.

[0023] Specifically, in this embodiment, the target data shown in step S1 includes the initial thickness of the base layer and the cladding, material stiffness, mill stiffness, rolling force, and no-load roll gap setting.

[0024] Specifically, in this embodiment, step S2 includes the following sub-steps: S21: Construction of material stiffness model; S22: Construction of a collaborative stiffness model; S23: Overall model construction.

[0025] The material stiffness model described in step S21 This represents the overall resistance of the base and cladding layers when they deform in parallel as independent units under an ideal unbonded state. The formula for calculating this resistance is: ; In the formula, For material stiffness; For the thickness of the base layer; The overall thickness; For the stiffness of the base material; This refers to the coating thickness; This refers to the stiffness of the cladding material.

[0026] The relationship between the overall thickness of the composite panel and the thickness of the base layer and the cladding layer is as follows: ; The synergistic stiffness model described in step S22 represents the overall resistance of the base and cladding layers when they deform as a whole under ideal, fully bonded conditions. Its calculation formula is as follows: ; In the formula, For coordinated stiffness; To ensure interface stiffness.

[0027] In step S23, given that the actual state of composite plate rolling lies between two ideal states, the overall stiffness model... Based on this, a dynamic weighting factor is introduced. The calculation formula for the construction is as follows: ; In the formula, For overall stiffness; This is a dynamic weighting factor.

[0028] Specifically, in this embodiment, step S3 includes the following sub-steps: S31: Construction of the thickness-score zone; S32: Correction of the interface compatibility stiffness model.

[0029] The thickness ratio in step S31 The calculation formula is: ; In the formula, The thickness ratio; For the thickness of the base layer; This refers to the coating thickness; For the stiffness of the base material; This refers to the stiffness of the cladding material.

[0030] The specific partitions are as follows: Low thickness ratio range ( The thickness of the overlay layer is significantly less than that of the base layer, and the base layer dominates the overall deformation, which is the base layer-dominated area; Medium thickness ratio range ( The deformation of the base layer and the overlay layer exhibits a coupling characteristic of cooperation and competition, belonging to the transitional coupling zone; High thickness ratio range ( The thickness of the coating layer is significantly greater than that of the base layer, and the coating layer dominates the overall deformation, which is the coating layer-dominated area. In step S32, based on the thickness ratio The interval in which the interface is coordinated stiffness Dynamic correction is performed to obtain the corrected interface compatibility stiffness. The details are as follows: ; In the formula, For the corrected interface stiffness; This is the thickness ratio correction factor.

[0031] Thickness ratio correction factor The correction method varies depending on the thickness ratio zone: in low thickness ratio zones, given that the base layer dominates in terms of thickness and strength and the contribution of the overcoat is weakened, an overcoat factor is introduced. The interface stiffness is modified; in the medium thickness ratio region, considering the mutual coupling between the base layer and the cladding layer, a coupling factor is introduced. Fine-tuning is performed; in areas with high thickness ratios, a basement factor is introduced because the overcoat layer dominates and the contribution of the base course is weakened. Make corrections.

[0032] In the low thickness ratio region, the base layer dominates the overall deformation, and the contribution of the overlay to the coordinated deformation is weakened. Therefore, an overlay factor is introduced. The interface stiffness is weakened and corrected, wherein the cladding factor is a dimensionless correction coefficient, the value of which is obtained by fitting historical data of the low thickness ratio region. In the medium thickness region, the synergistic deformation effect between the base layer and the overcoat is significant, and a coupling factor is introduced. The interface stiffness is modified to accurately characterize the coupling state, wherein the coupling factor is a dimensionless correction coefficient, the value of which is obtained by fitting historical data of the medium thickness ratio region. In regions with high thickness ratios, the overburden dominates deformation, while the contribution of the base course to coordinated deformation weakens. Therefore, a base course factor is introduced. The interface stiffness is weakened and corrected, wherein the base layer factor is a dimensionless correction coefficient, and its value is obtained by fitting historical data of the high thickness ratio region.

[0033] Specifically, in this embodiment, step S4 includes the following sub-steps: S41: Construction of the bounce equation and rolling force equation; S42: Define the optimization problem; S43: Global Optimization; S44: Local optimization.

[0034] The mill bounce equation in step S41 is: ; In the formula, Initial roll gap; For rolling force; This is the mill stiffness coefficient.

[0035] The rolling force model is as follows: ; In the formula, This is a correction factor; The width of the board; The length of the deformation zone; This represents the relative reduction.

[0036] in The calculation formula is: ; In the formula, This refers to the overall thickness after rolling.

[0037] The optimization problem defined in step S42 is as follows: Define the base layer thickness and cladding thickness vector as follows: ; The objective function The core is to measure the deviation between the model's calculated values ​​and the actual measured values. The model is constructed as follows: ; In the formula, This is the measured rolling force; For the calculated rolling force; For the overall thickness calculated; and The coefficient is used to balance the weights of the two biases.

[0038] like Figure 3 As shown, the global optimization described in step S43 is the first stage of optimization. Its purpose is to perform a broad search within the global solution space to avoid getting trapped in local optima and to locate the region where the optimal solution is located. It includes the following sub-steps: S431: Initialize the global optimizer; S432: Global iterative loop; S433: Output global results.

[0039] Step S431 employs a global optimization algorithm, such as Particle Swarm Optimization (PSO). Initialize the particle swarm size. Particle position (Represents a set of layered thickness solutions), and sets the maximum number of iterations for the global stage. As a termination condition; Step S432 enters the global iteration loop, including the following steps: (1) For the first In the next iteration, the fitness value of each particle is calculated. : ; In the formula, This is the fitness value.

[0040] (2) Update the historical best position of each particle. and the global historical best position ; (3) Solve iteratively according to the selected global algorithm; (4) Perform adaptive switching judgment. From the first ( (And the integer) Start from the generation, calculate continuously Inner generation Relative improvement rate of corresponding fitness ,like Less than the adaptive threshold If the global search is complete, then step S433 is executed to output the global stage result. (5) If adaptive switching is not triggered and Then continue iterating until it reaches... End at time; Step S433 outputs the global stage result and sets the current stage result. As the starting point of the second phase .

[0041] Step S44, the local optimization described, is the second stage of optimization, and its purpose is to achieve the following: To provide a high-quality starting point, a fast and accurate local search is performed. This includes the following sub-steps: S441: Initialize the local optimizer; S442: Local iterative loop.

[0042] Step S441 sets the convergence tolerance for the local search. Maximum number of iterations ; Step S442 enters the local iteration loop, including the following steps: (1) For the first The next iteration, with As ; (2) The objective function is calculated using the numerical difference method. In the present gradient vector at : ; ; Constructing gradient vectors for: ; (3) Update the estimated value of the solution vector: ; (4) There are two methods to determine convergence: Method 1: The current solution has made the objective function sufficiently small, and the objective function has converged. ; Method 2: The iterative solution has essentially stopped changing, and the solution vector is stable. ; If any of the above conditions are met, the iteration terminates, and the thickness of each layer is calculated: ; Otherwise, proceed to the next step: ; Continue iterating until the maximum number of iterations is reached. .

[0043] Specifically, in this embodiment, step S5, zoning control, involves the system determining thickness ratio zones based on the base coat thickness obtained in step S4, and selecting different weighting coefficients to adjust the roll gap. The specific calculation formula for the roll gap adjustment amount is as follows: ; In the formula, This refers to the roller gap adjustment amount; This is a correction factor; It is the equivalent plasticity coefficient; This is for thickness deviation; This is due to the thickness deviation of the base layer; This refers to the deviation in coating thickness. This represents the weighting coefficient for the grassroots level. This is the coating weighting coefficient.

[0044] Grassroots weighting coefficient and cladding weight coefficient The correction method varies depending on the thickness ratio zone: in the low thickness ratio zone, since the base layer is the dominant factor in deformation, the accuracy of the overcoat thickness is controlled, so a base layer weighting coefficient is introduced. and cladding weight coefficient Corrections are made; in the medium thickness ratio zone, given the coupling effect between the base layer and the overcoat, a base layer weighting coefficient is introduced. and cladding weight coefficient Corrections are made; in areas with high thickness ratios, since the overcoat is the dominant factor in deformation, the accuracy of the base layer thickness is controlled, hence a base layer weighting coefficient is introduced. and the weighting coefficient of the cladding layer is Make corrections.

[0045] Specifically, in areas with low thickness ratios, a base layer weighting coefficient is introduced. and cladding weight coefficient The roll gap adjustment amount is corrected. Because the base layer dominates the overall deformation while the overlay is relatively thin, the overlay is more sensitive; therefore, the base layer weight coefficient is smaller than the overlay weight coefficient. In the medium thickness ratio zone, a base layer weighting coefficient is introduced. and cladding weight coefficient The roll gap adjustment amount is corrected. Because the synergistic deformation effect of the base layer and the overcoat is significant and equally important, the difference between the base layer weight coefficient and the overcoat weight coefficient is small. In areas with high thickness ratios, a base layer weighting coefficient is introduced. and the weighting coefficient of the cladding layer is The roll gap adjustment is corrected. Since the cladding layer dominates the overall deformation and the base layer is relatively thin, it is more sensitive. Therefore, the base layer weight coefficient is greater than the cladding layer weight coefficient.

[0046] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for controlling the layered thickness of metal composite rolling, characterized by, The method comprises the following steps: S1. obtaining target data in a rolling process; S2. constructing a dynamic overall stiffness model of a composite rolling process based on the target data; S3. correcting an interface coordination stiffness in the dynamic overall stiffness model based on a thickness ratio; S4. solving thicknesses of a base layer and a cover layer by using a two-stage adaptive hybrid optimization strategy based on the dynamic overall stiffness model after correction of parameters; S5. correcting a roll gap adjustment amount based on the thicknesses of the base layer and the cover layer to realize partition control.

2. The metal composite roll-laminating layer thickness regulating method according to claim 1, characterized by, The dynamic overall stiffness model comprises a material stiffness term, a coordination stiffness term, and an overall stiffness synthesized by a dynamic weight factor; The dynamic overall stiffness model is as follows: ； wherein, is the overall stiffness; is the dynamic weight factor, is the synergistic stiffness term, is the material stiffness term; The material stiffness term is as follows: ； wherein, is the base layer thickness; is the overall thickness; is the base layer material stiffness; is the cover layer thickness; is the cover layer material stiffness; The coordination stiffness term is as follows: ； wherein is the interfacial coordination stiffness.

3. The metal composite roll-laminating layer thickness regulating method according to claim 1, wherein The correction of the interface coordination stiffness in the dynamic overall stiffness model based on the thickness ratio comprises the following steps: The interface coordination stiffness is corrected according to a preset interval into which the thickness ratio falls; wherein the preset interval comprises a low thickness ratio interval, a medium thickness ratio interval, and a high thickness ratio interval.

4. The metal composite roll-laminating layer thickness regulating method according to claim 3, wherein The calculation method of the thickness ratio is as follows: ； wherein, is the thickness ratio; is the base layer thickness; is the cover layer thickness; is the base layer material stiffness; is the cover layer material stiffness; The low thickness ratio interval is that the cover layer thickness is obviously smaller than the base layer thickness, the base layer dominates overall deformation, and belongs to a base layer dominant interval; The medium thickness ratio interval is that deformation of the base layer and the cover layer presents coupling characteristics of cooperation and competition, and belongs to a transition coupling interval; The high thickness ratio interval is that the cover layer thickness is obviously larger than the base layer, the cover layer dominates overall deformation, and belongs to a cover layer dominant interval.

5. The metal composite roll-laminating layer thickness regulating method according to claim 3, wherein The correction of the interface coordination stiffness comprises the following steps: In the low thickness ratio region, introduce a cladding factor The interface coordination stiffness is modified; the cladding factor Obtained by fitting the historical data in the low thickness ratio region; In the mid-thickness ratio region, a coupling factor is introduced Modified; coupling factor Obtained by fitting historical data in the mid-thickness ratio region In the high thickness ratio region, introduce a base factor Make corrections; base factor Obtained by fitting historical data in the high thickness ratio region.

6. The metal composite roll-laminating layer thickness regulating method according to claim 1, wherein The adaptive hybrid optimization strategy comprises a global optimization stage and a local optimization stage; wherein the global optimization stage is used for extensive exploration in a solution space; and the local optimization stage is used for accurate convergence based on a result of the global optimization stage.

7. The metal composite roll-laminating layered thickness regulating method according to claim 1, characterized by S4 The method comprises the following steps: S41. constructing a rebound equation and a rolling force equation; S42. constructing a target function: ； wherein, is the objective function; is the measured rolling force; is the calculated rolling force; is the calculated overall thickness; and is a coefficient balancing the two bias weights; S43. global optimization; S44. local optimization.

8. The metal composite roll lamination thickness regulation method according to claim 7, wherein The global optimization comprises the following steps: S431. Initialize global optimizer: select preset global optimization algorithm; initialize particle swarm size, particle position, and set maximum iteration number of global stage as a termination condition; wherein the particle position represents a set of layered thickness solutions; S432. a global iteration loop: (1) For the first iteration, the fitness value of each particle is calculated; each particle is calculated; (2) updating a historical optimal position of each particle and a global historical optimal position; (3) iteratively solving according to a preset global optimization algorithm; (4) Perform adaptive switching judgment: from the first Starting from the generation, calculate continuously. The relative improvement rate of fitness corresponding to the global historical best position within the generation is calculated. If the relative improvement rate is less than the adaptive threshold, the global search is considered complete, and step S433 is executed to output the global stage result; where, It is an integer greater than 1; (5) if adaptive switching is not triggered and then continue iteration, terminating when is reached. S433. outputting a global stage result as an initial point of the local optimization stage.

9. The metal composite roll lamination thickness regulation method of claim 7, wherein, The local optimization comprises the following steps: S441. Set convergence tolerance for local search , maximum number of iterations ; S442. entering a local iteration loop, comprising the following steps: (1) for the first iteration, use the global phase result as the initial result for the local iteration ;​ (2) Numerical differentiation method is used to calculate the objective function At the current Gradient vector : ； wherein is the gradient vector of the objective function at ; is the partial derivative of the objective function with respect to the base layer thickness; is the partial derivative of the objective function with respect to the cover layer thickness; (3) updating an estimated value of a solution vector: ； wherein, is the updated solution vector; is the learning rate; (4) performing convergence judgment.

10. The metal composite roll lamination thickness regulation method of claim 1, wherein, In S5, the thickness ratio is determined according to the thicknesses of the base layer and the cover layer, different weight coefficients are selected, and the roll gap is adjusted; A calculation formula of the roll gap adjustment amount is as follows: ； wherein is the roll gap adjustment amount; is the correction factor; is the equivalent plasticity factor; is the thickness deviation; is the base layer thickness deviation; is the overlay thickness deviation; is the base layer weight factor; is the overlay weight factor; On the basis of ensuring the overall export thickness to meet the target, it is also necessary to meet the requirements of each layer thickness, so the base weight coefficient and the coating weight coefficient The roll gap adjustment amount is corrected; both coefficients are dimensionless parameters, and their values are obtained by fitting historical data. The correction method is different according to the thickness ratio partition: In the low thickness ratio area, introduce base layer weight coefficient and coating weight coefficient Correct the roll gap adjustment amount; wherein the base layer weight coefficient is less than the coating weight coefficient ; In the medium thickness ratio zone, a base layer weighting coefficient is introduced. and cladding weight coefficient The roll gap adjustment amount is corrected; among which, the base layer weight coefficient is... With cladding weight coefficient Within the preset range of differences; In the high thickness ratio area, introduce base layer weight coefficient and coating weight coefficient is Correct the roll gap adjustment amount; wherein the base layer weight coefficient is greater than the coating weight coefficient is .

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