Membrane fitting optimization method and system based on computer aided design

Abstract

The invention relates to the technical field of computer-aided design, and provides a computer-aided design-based membrane material lamination optimization method and system, and the method comprises the steps: obtaining the geometrical morphology information of a to-be-laminated cover plate; converting the geometric morphology information into digital model data; acquiring the actual state of the cover plate to be laminated, and updating the digital model data according to the actual state; according to cover plate geometrical characteristics reflected in the updated digital model data, generating a running path, a movement rate and an acting force parameter for membrane material laminating operation; according to cover plate microscopic unevenness information reflected in the updated digital model data, adjusting a running path, a movement rate and an acting force parameter; and the laminating device is controlled to execute membrane material laminating operation after the operation path, the movement rate and the acting force parameters are adjusted, and the movement control of the laminating device is optimized according to the contact force information and the position information in the laminating process. The device has the effect of improving the precision, efficiency and reliability of film material lamination.

Description

Technical Field

[0001] This invention relates to the field of computer-aided design, and specifically to a method and system for optimizing membrane bonding based on computer-aided design. Background Technology

[0002] In the field of precision manufacturing, the bonding process between membrane materials and cover plates is a crucial step in determining the final product's appearance and functional integrity. Traditional membrane bonding methods typically rely on preset, fixed process parameters, such as constant bonding pressure, speed, and path. This method performs adequately when handling cover plates with relatively uniform sizes and shapes, but its limitations become apparent when facing diverse product requirements, such as changes in cover plate size, geometry, or material properties. Specifically, defects such as uneven local shrinkage, edge misalignment, or air bubbles may occur during the bonding process. These problems directly affect subsequent cutting accuracy and the overall product yield.

[0003] As market demand for product personalization and complexity grows, next-generation cover plate designs are exhibiting unprecedented complexity, such as multi-level, multi-bend complex geometries, grooves for sensors or cameras, stepped edge transition areas, and even asymmetrical irregular openings. These complex features mean that the cover plate surface is no longer a single continuous curved surface, but rather composed of multiple regions with distinct geometric characteristics. While existing film bonding systems can read and identify three-dimensional geometric data when handling such complex cover plates, their built-in parameter calculations often simplify to some extent. For example, they approximate complex areas as a whole with average bending, or adopt a "global optimum" rather than a "local optimum" strategy. This simplification leads to the system-generated bonding parameters becoming inaccurate in certain complex areas, easily resulting in localized stress concentrations, air bubbles, and even edge lifting or delamination during subsequent curing.

[0004] Even with the introduction of more advanced geometric analysis modules capable of finely dividing the 3D model of the cover plate and independently calculating the locally optimal fitting parameters for each geometric unit, difficulties still arise in parameter switching and connection during actual large-scale production when the characteristics of adjacent geometric units differ significantly. Due to mechanical inertia or minute delays in the control algorithm, the actual movement of the rollers may not be able to keep up with the instantaneous changes in system commands, leading to brief periods of "loss of control" or "mismatch" in these transition areas. This can result in minute wrinkles, insufficient or excessive local stretching, and stress concentration points that are difficult to detect with the naked eye. These initially inconspicuous defects gradually evolve into visible bubbles, edge curling, or membrane cracking during subsequent assembly, aging tests, and even daily use.

[0005] A further problem arises even if the aforementioned macroscopic and transitional area issues are mitigated, a persistent defect pattern remains: on certain batches of cover plates, regardless of optimized bonding parameters, fine, linear, or dot-like film peeling always occurs in specific areas. In-depth testing reveals that this stems from the uneven microstructure of the cover plate surface. For example, mold wear, fluctuations in injection molding parameters, or deviations in surface treatment processes can lead to uneven roughness or localized surface energy differences on the micrometer scale. When the bonding roller passes over these microscopically uneven areas, even with theoretically optimal macroscopic parameters, the microscopic contact between the adhesive backing and the cover plate surface is disrupted. This can result in minute localized slippage or air bubbles becoming trapped in microscopic depressions, ultimately leading to localized peeling or bubble formation. These minute defects severely impact the long-term reliability of the product and the user experience.

[0006] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0007] This application discloses a computer-aided design-based membrane bonding optimization method and system, which aims to solve the technical problems of traditional membrane bonding methods when dealing with complex cover plates, such as uneven local shrinkage, edge misalignment, bubble generation, stress concentration, and local peeling caused by microscopic surface inhomogeneity.

[0008] The technical solution of this application is as follows: In a first aspect, this application discloses a computer-aided design-based method for optimizing membrane bonding, comprising: Obtain the geometric shape information of the cover plate to be bonded; Convert geometric shape information into digital model data; Obtain the actual state of the cover plate to be bonded, and update the digital model data based on the actual state; Based on the cover plate geometry features reflected in the updated digital model data, the running path, movement speed, and force parameters for membrane bonding operations are generated. Based on the microscopic unevenness information of the cover plate reflected in the updated digital model data, the running path, movement speed and force parameters are adjusted; The bonding device is controlled to perform film bonding operations after adjusting the running path, movement speed and force parameters, and the motion control of the bonding device is optimized based on the contact force information and position information during the bonding process.

[0009] This technical solution enables precise perception of the cover plate's geometry and actual condition, allowing for dynamic adjustment of the membrane bonding parameters. This effectively solves the bonding defects that occur when using traditional methods to process complex cover plates, significantly improving bonding accuracy and product qualification rate.

[0010] Secondly, this application also discloses a computer-aided design-based membrane bonding optimization system for performing computer-aided design-based membrane bonding optimization, including: The geometric shape acquisition module is used to acquire the geometric shape information of the cover plate to be bonded; The digital model conversion module is used to convert geometric topography information into digital model data; The digital model update module is used to obtain the actual state of the cover plate to be bonded and update the digital model data according to the actual state. The bonding data generation module is used to generate the running path, movement speed and force parameters for membrane bonding operation based on the cover plate geometric features reflected in the updated digital model data. The fit data adjustment module is used to adjust the running path, movement speed and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data. The membrane bonding operation module is used to control the bonding device to perform membrane bonding operations after adjusting the running path, movement speed and force parameters, and to optimize the motion control of the bonding device based on the contact force information and position information during the bonding process.

[0011] This technical solution provides a system that integrates geometric shape acquisition, digital model conversion and updating, bonding data generation and adjustment, and membrane bonding operation and optimization. It achieves comprehensive intelligent control of the membrane bonding process, fundamentally solving the various challenges faced by traditional bonding systems when dealing with complex cover plates, and significantly improving production efficiency and product quality.

[0012] Beneficial Effects: This application discloses a computer-aided design-based membrane bonding optimization method. By acquiring the geometric morphology information of the cover plate to be bonded and converting it into digital model data, it achieves accurate characterization of the macroscopic geometric features of the cover plate. Furthermore, by acquiring the actual state of the cover plate and updating the digital model data, this application can reflect the minute deformations or positional deviations of the cover plate in actual production in real time, thereby ensuring the accuracy of subsequent parameter generation. Based on this, this application generates the running path, movement speed, and force parameters for membrane bonding operations according to the geometric features of the cover plate reflected in the updated digital model data. This allows the bonding process to be customized according to the specific geometry of the cover plate, avoiding problems such as uneven local shrinkage and edge misalignment that occur with complex cover plates using traditional fixed parameter methods.

[0013] More importantly, this application also adjusts the running path, movement speed, and force parameters based on the microscopic unevenness information of the cover plate reflected in the updated digital model data. This innovative step breaks through the limitations of existing technologies that only focus on macroscopic geometric features, delving into the impact of micron-level surface inhomogeneities on bonding quality. It effectively solves problems such as localized stress concentration, bubble residue, and film peeling caused by differences in microscopic roughness or surface energy due to mold wear, injection parameter fluctuations, or surface treatment process deviations. Through the perception of microscopic unevenness information and fine adjustment of parameters, this application can ensure sufficient contact and uniform adhesion between the film adhesive and the cover plate surface at the microscopic level.

[0014] Finally, this application controls the bonding device to perform the adjusted film bonding operation and optimizes the motion control of the bonding device based on the contact force and position information during the bonding process. This closed-loop feedback mechanism enables the system to monitor and correct deviations in real time during the bonding process. For example, when micron-sized foreign objects or local defects are detected, the system can dynamically adjust the local downward pressure of the rollers, the contact angle, or coordinate with the micro-vibration function, thereby effectively preventing initially inconspicuous defects from evolving into visible bubbles, edge curling, or film cracking in subsequent stages.

[0015] In summary, this application fundamentally solves the problems of insufficient precision and frequent defects faced by existing membrane bonding technologies when dealing with complex cover plates by integrating geometric shape perception, real-time updating of digital models, collaborative optimization of macroscopic and microscopic parameters, and closed-loop feedback control. It significantly improves the precision, efficiency, and reliability of membrane bonding, reduces the product defect rate, and has significant technological progress and practical value. Attached Figure Description

[0016] Figure 1 This is a flowchart of a method for optimizing membrane bonding based on computer-aided design in one embodiment of the present invention; Figure 2 This is a flowchart of a method for optimizing membrane bonding based on computer-aided design, according to another embodiment of the present invention. Figure 3 This is a system block diagram of a film bonding optimization system based on computer-aided design, according to another embodiment of the present invention. Explanation of reference numerals in the attached figures: 1. Computer-aided design-based membrane bonding optimization system; 11. Geometric morphology acquisition module; 12. Digital model conversion module; 13. Digital model update module; 14. Bonding data generation module; 15. Bonding data adjustment module; 16. Membrane bonding operation module. Detailed Implementation

[0017] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0018] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0019] This application proposes a computer-aided design-based method for optimizing membrane bonding, combining... Figure 1 As shown, it includes: S1, Obtain the geometric shape information of the cover plate to be bonded; S2 converts geometric topography information into digital model data; S3, obtain the actual state of the cover plate to be bonded, and update the digital model data according to the actual state; S4, Based on the cover plate geometry features reflected in the updated digital model data, generate the running path, movement speed and force parameters for membrane bonding operation; S5, based on the micro-unevenness information of the cover plate reflected in the updated digital model data, adjust the running path, movement speed and force parameters; S6 controls the bonding device to perform the film bonding operation after adjusting the running path, movement speed and force parameters, and optimizes the motion control of the bonding device based on the contact force information and position information during the bonding process.

[0020] To facilitate understanding of the technical solution of this application, the key terms involved in the implementation process are first defined. "Geometric topography information" refers to the external geometric structure and macroscopic dimensional characteristics of the cover plate, including its outline shape, local curvature, and the spatial positions of pre-set holes and grooves, which can be obtained by 3D scanning equipment, structured light measurement systems, or computer-aided design (CAD) models. "Digital model data" is a set of computable data formed after digitizing the above geometric topography information, typically stored in structured forms such as point clouds, mesh models, or solid models, used for subsequent path planning and parameter calculations. "Actual state" refers to the physical state of the cover plate before bonding, including its spatial position, orientation, temperature and humidity environment, and any contaminants that may adhere to its surface. "Running path" refers to the trajectory of the bonding device along the cover plate surface, and "movement rate" refers to the speed at which the bonding device moves along the trajectory. "Force parameters" include mechanical parameters such as pressure and tension exerted by the bonding device between the membrane material and the cover plate. "Microscopic unevenness information" refers to the texture differences, local uneven structures, and uneven surface energy distribution on the cover plate surface at the micrometer to nanometer scale. "Lamination device" refers to a mechanical system used to perform membrane bonding operations, such as roller assemblies, robotic arms, and their associated sensors. "Contact force information" refers to the real-time mechanical response data between the device and the membrane-cover plate interface during the bonding process, while "position information" refers to the real-time relative position data between the edge of the membrane and the reference boundary of the cover plate.

[0021] The method of this application first obtains the geometric topography information of the cover plate to be bonded. To achieve a high-precision geometric description, a 3D laser scanner can be used to perform non-contact scanning of the cover plate, generating point cloud data reflecting the cover plate's shape, curvature changes, and preset structure. Alternatively, the CAD model file of the cover plate can be directly imported; this model typically contains a complete 3D geometric structure and requires no additional modeling processing. Furthermore, a structured light projection system can be used to extract the 3D topography data of the cover plate through grating fringe deformation analysis.

[0022] Subsequently, the aforementioned geometric topography information is converted into digital model data that can be used for geometric operations. For example, a triangular mesh model or a NURBS surface can be generated for point clouds as needed to meet different accuracy and computational requirements; if the input is a CAD model, it can be directly parsed into a digital structure that can be called by the algorithm for curvature analysis, path planning, and parameter solving.

[0023] Before the bonding process, it is necessary to obtain the actual state of the cover plate and update the digital model data at the spatial and environmental levels. For example, the position and orientation of the cover plate can be identified in real time using a vision sensor, and the identification results can be registered with the original model to correct spatial positioning errors in the model. Temperature and humidity sensors can simultaneously record the physical parameters of the environment in which the cover plate is located and write them into the digital model for subsequent compensation for the potential impact of thermal expansion and contraction, moisture absorption deformation, etc., on bonding accuracy.

[0024] Based on the updated digital model reflecting the cover plate's geometric features, corresponding running paths, movement speeds, and force parameters are generated. For example, the minimum bonding pressure required by the rollers in different areas can be calculated based on the curvature distribution to ensure sufficient contact between the membrane and the cover plate. The roller's running path can also be planned according to the edge contour and local complex geometry to avoid collisions or missed bonding areas. The movement speed can be determined by considering the surface flatness, using higher speeds in flat areas and lower speeds in areas with abrupt curvature changes or complex geometry to balance efficiency and bonding quality.

[0025] Furthermore, based on the microscopic unevenness information reflected in the updated digital model, the running path, motion rate, and force parameters are refined and adjusted. For example, the roughness distribution obtained through high-resolution optical imaging or atomic force microscopy can be superimposed on the digital model to identify local areas with significant surface texture; in areas with high roughness, the local force can be appropriately increased to improve the adhesive filling effect. When the model shows the presence of micro-protrusions in a certain area, the path can be slightly modified so that the roller passes through with a smaller contact angle or lower local pressure to avoid excessive stretching of the film material or the formation of local air bubbles.

[0026] After the above parameters are set, the control bonding device executes the corresponding running path, movement speed, and force parameters, and performs real-time optimization control based on the contact force and position information during the bonding process. For example, the distribution of interface contact force can be monitored in real time through a pressure sensor array arranged inside the rollers; the visual positioning system can simultaneously identify the relative displacement between the edge of the film material and the reference edge of the cover plate. When abnormal local contact force or edge misalignment is detected, the control system can immediately adjust the local pressure, speed, or running path of the rollers to correct deviations and ensure bonding accuracy and consistency.

[0027] Based on the above methods, to further improve the accuracy and stability of the bonding process, some key technical features can be supplemented as follows. For the updating process of digital model data, a geometric registration algorithm based on feature point matching or iterative nearest point (ICP) can be used to iteratively compare the real-time acquired cover plate contour with the original model to obtain a more accurate spatial correction matrix. Simultaneously, based on the thermal expansion coefficient and hygroscopic expansion characteristics of the cover plate material, temperature and humidity changes can be mapped to dimensional changes, synchronously correcting the corresponding areas of the digital model, making the running path and pressure settings more consistent with the actual assembly state. In determining the bonding pressure, the curvature of the cover plate surface has a significant impact on the deformation capability of the membrane material: when the curvature is large, the membrane material needs to produce more obvious bending and spreading deformation, so a higher normal pressure needs to be applied to overcome its bending stiffness and achieve full adhesive spreading; while in areas with gentle curvature, lower pressure can be used to avoid unnecessary stretching of the membrane material. In terms of path planning, edge features, curvature abrupt change regions, and local structural constraints can be identified based on the geometric partitioning results of the digital model. Combined with gradient field-based trajectory generation algorithms or spatial search strategies, continuous path trajectories can be formed, ensuring complete adhesion and avoiding collision risks. In adjusting parameters for micro-uneven areas, areas with high roughness often have micro-concave textures. If the pressure is insufficient, the adhesive cannot fill the micro-pits, potentially leading to local gaps. Therefore, increasing the local pressure can enhance the adhesive's flowability within the micro-scale range. Conversely, for areas with micro-protrusions, reducing the local pressure or adjusting the roller contact angle can prevent stress concentration that could cause film stretching or localized blistering. Regarding real-time control, contact force information can be compared with a preset pressure distribution model. When local overpressure or underpressure reaches a threshold, the control system can dynamically adjust the roller's normal pressure or deflection angle to achieve closed-loop self-correction of the pressure distribution. In addition, the position-based correction process can adjust the lateral position of the robotic arm, the roller travel distance, or the contact angle in real time by calculating the offset vector between the edge of the membrane material and the reference edge of the cover plate to counteract the offset trend and keep the bonding path near the theoretical trajectory, thereby improving bonding consistency and final quality.

[0028] Optional, combined Figure 2 As shown, the steps in S5, which adjust the running path, movement speed, and force parameters based on the microscopic unevenness information of the cover plate reflected in the updated digital model data, include: S51, receive the material property parameters of the membrane material; S52, Identify the areas of curvature variation on the cover surface reflected in the updated digital model data; S53, based on material property parameters and curvature variation region, calculate the expected deformation and stress distribution of the membrane material in the curvature variation region; S54, adjusts the running path, movement speed and force parameters used for membrane bonding operation according to the expected deformation and stress distribution.

[0029] During the parameter generation process of membrane bonding, the system first needs to acquire the material property parameters of the membrane. These parameters characterize the physical and mechanical behavior of the membrane under stress and heat conditions, including elastic modulus, Poisson's ratio, yield strength, material thickness, density, and coefficient of thermal expansion. These parameters can be retrieved from a preset material database or obtained through material testing, mechanical measurement, or thermal analysis of the membrane to ensure that the input data for subsequent deformation calculations and stress predictions has sufficient accuracy and reliability.

[0030] After the material parameters are determined, the system performs geometric analysis on the updated digital model data to identify areas with significant curvature changes on the cover plate surface. This identification process uses differential geometry algorithms to calculate indicators such as principal curvature, Gaussian curvature, and rate of change of normal vector at various points on the cover plate, thereby identifying key areas with small radii of curvature and large curvature gradient changes, such as the cover plate's radius of curvature, chamfered structures, local depressions, local protrusions, or opening boundaries. These areas are typically locations where the membrane material is prone to significant deformation and stress concentration, and have a decisive impact on the bonding quality.

[0031] After identifying the curvature variation region, the system constructs a mechanical model between the membrane material and the cover plate based on the membrane material properties and the cover plate geometry. It then uses finite element analysis (FEA) or a simulation model based on physical laws to calculate the expected deformation and stress distribution of the membrane material in the corresponding region during the bonding process. This calculation process can simultaneously consider the membrane material's nonlinear elasticity, plastic behavior, interfacial contact conditions, frictional characteristics, and local thermal effects to predict the tension, bending, compression, and stress concentration of the membrane material when passing through different curvature regions, and to identify potential overstress areas or areas of insufficient bonding.

[0032] Based on the expected deformation and stress distribution obtained from the simulation, the system further refines the running path, movement speed, and force parameters of the bonding device. For example, when a high stress risk is predicted in a certain curvature change area, the local downward pressure of the bonding roller in that area can be reduced, or the running path can be adjusted to increase the contact buffer zone, thereby effectively dispersing local stress. When the membrane deformation in a certain area is predicted to be insufficient to achieve full bonding, the local force can be appropriately increased or the movement speed reduced to prolong the stress time of the membrane at that location, allowing it to complete the necessary deformation and adhere tightly to the cover plate surface.

[0033] In specific application scenarios, such as when the cover plate to be bonded is a smartphone screen cover plate with a complex three-dimensional curved surface, and the film material is a polymer optical film with high toughness and optical transparency, the system can first obtain material parameters such as the elastic modulus and Poisson's ratio of the optical film; then, it performs curvature analysis on the digital model of the cover plate to identify key areas with large curvature changes, such as the R-corner area at the edge of the screen and the chamfered area of ​​the camera opening. By inputting the material parameters and the curvature change areas into the finite element simulation model, the stress and deformation distribution of the optical film under different motion paths, speeds, and force parameters can be obtained. For example, when the simulation shows that the film material in the R-corner area has excessive tensile stress and there is a risk of cracking or rebound, the system will automatically adjust the running mode of the roller in that area, so that it performs bonding with a smaller contact angle, a lower movement speed, and appropriately reduced local pressure, thereby achieving stress relaxation. When the simulation shows that there is insufficient bonding or a risk of air bubbles in a local concave area, the system can increase the local bonding pressure and combine it with micro-vibration to improve the adhesive filling capacity. Finally, based on the above prediction results, an optimized set of running path, motion speed and force parameters are generated and driven to perform the bonding device, thereby obtaining a high-precision and defect-free membrane bonding effect.

[0034] Optionally, the steps of adjusting the running path, movement speed, and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data include: Obtain physicochemical property data of the cover plate surface; By integrating physicochemical property data with updated digital model data, a holographic digital representation of the cover plate is formed; Based on holographic digital representation information, predict the instantaneous adhesion strength of the adhesive on the film backing; Adjust the local downward pressure of the roller, the frequency of the roller's micro-vibration, the amplitude of the roller's micro-vibration, and the local contact angle of the roller based on the instantaneous adhesion strength.

[0035] Specifically, obtaining physicochemical property data of the cover plate surface refers to using surface detection sensors or material analysis equipment to collect information on the physical and chemical properties of the cover plate surface at the microscale. These properties may include surface roughness distribution, surface energy distribution, differences in chemical polarity, wettability parameters, and the presence of trace contaminants. These physicochemical properties directly affect the wetting, diffusion, and adhesion processes of the adhesive backing material on the cover plate surface, and are crucial foundational data for predicting adhesion performance.

[0036] After obtaining the aforementioned data, the system fuses the physicochemical property data with the updated digital model data to generate a holographic digital representation of the cover plate. This holographic digital representation integrates the cover plate's geometric morphology, actual state parameters, and surface physicochemical properties. It not only describes the cover plate's macroscopic structural features and microscopic unevenness but also reflects surface properties such as surface energy characteristics and interfacial polarity in different regions. Through this multi-dimensional information integration, a more comprehensive, refined, and accurate digital representation of the cover plate's surface state can be constructed, providing a basis for the subsequent localization and adaptive optimization of bonding parameters.

[0037] Based on holographic digital representation information, the system can predict the instantaneous adhesion strength of the adhesive backing material in different areas of the cover plate. This prediction model is based on the material properties of the adhesive backing material, combined with the physicochemical properties of the cover plate surface, local pressure conditions, temperature, and time factors, to evaluate the interfacial adhesion behavior of the adhesive backing material in real time or near real time. The term "instantaneous" emphasizes that the adhesion ability may dynamically change with external conditions, allowing the system to adjust control parameters in a timely manner during the bonding process, thereby improving the stability and reliability of the bonding operation.

[0038] After obtaining the instantaneous adhesion strength, the system makes targeted dynamic adjustments to the local downward pressure of the roller, the roller micro-vibration frequency, the roller micro-vibration amplitude, and the local contact angle of the roller based on the prediction results.

[0039] Among them: (1) The local downward pressure of the roller is used to adjust the contact strength between the adhesive backing of the membrane and the surface of the cover plate. When the local instantaneous adhesion strength is low, the downward pressure can be appropriately increased to enhance the contact and promote wetting; conversely, in areas with high adhesion strength, reducing the downward pressure can prevent the membrane from being excessively squeezed or damaged. (2) The frequency and amplitude of the roller's micro-vibration, by introducing high-frequency, small-amplitude vibration, helps to improve the fluidity of the adhesive backing, promote its uniform spreading, and accelerate the discharge of interface bubbles, which is especially suitable for areas with insufficient adhesion performance or local micro-defects. (3) The local contact angle of the roller is used to change the path and peel angle of the membrane entering the contact interface, thereby affecting the spreading behavior of the membrane, the local pressure distribution, and the efficiency of bubble discharge, which is especially critical in complex curvature areas or locations with abrupt changes in surface characteristics.

[0040] In a specific preferred embodiment, if the surface of the cover plate to be bonded has areas with enhanced hydrophobicity or significantly reduced surface energy, while other areas remain normal, traditional bonding methods relying solely on geometric irregularity data are insufficient to effectively address such differences in chemical properties. The technical solution of this application first acquires physicochemical property data of the cover plate surface using devices such as a surface energy analyzer and a contact angle meter to identify areas with enhanced hydrophobicity. Subsequently, this data is fused with the cover plate's geometric model to generate a holographic digital representation that simultaneously contains both geometric and chemical properties. Using this information, the system can predict that the instantaneous adhesion strength of the film material's adhesive in the hydrophobic area will significantly decrease. To compensate for this deficiency, the system automatically increases the local downward pressure of the roller in this area (e.g., by 10%–20%) and activates the roller's micro-vibration function to improve adhesive spreading and interface wetting. Simultaneously, the local contact angle of the roller can be fine-tuned to optimize the film material's spreading path in this area and reduce the possibility of air bubble retention. Through this series of refined and dynamic local parameter adjustments, even if the physical and chemical properties of the cover plate surface are not uniform, the membrane material can still achieve high-quality, uniform and firm bonding, thereby significantly reducing the risk of bonding defects caused by differences in surface characteristics.

[0041] Optionally, the steps of adjusting the running path, movement speed, and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data include: Identify the geometric feature regions of the cover plate surface reflected in the updated digital model data; For geometric feature regions, several optimization objectives are preset; For the geometric feature region, generate several sets of candidate running paths, motion speeds and force parameter combinations as candidate parameter combinations; Physical simulations were performed on candidate parameter combinations to simulate membrane deformation, stress distribution, and bonding efficiency. After simulating membrane deformation, stress distribution, and bonding efficiency, the performance of candidate parameter combinations in terms of bonding accuracy, production efficiency, and membrane damage risk is evaluated, and a comprehensive score for each candidate parameter combination is obtained. The candidate parameter combination that satisfies the constraints and has the highest comprehensive score is selected as the running path, motion rate, and force parameters for the membrane bonding operation.

[0042] Specifically, identifying the geometric feature regions of the cover plate surface reflected in the updated digital model data refers to the system automatically or semi-automatically detecting and calibrating locations on the cover plate surface with special geometric structures or abrupt changes in morphology through refined geometric analysis of the digital model. These regions may include sharp edges, small-radius arcs, local protrusions, local depressions, and hole edges, which often have a significant impact on the local bonding behavior of the membrane material, interfacial pressure distribution, and stress concentration characteristics. The identification process can be based on computer vision algorithms, geometric topology analysis methods, or machine learning-based feature extraction models to ensure the complete and accurate identification of key areas.

[0043] After identifying geometric feature regions, the system presets several optimization objectives for different types of geometric feature regions. These objectives define the set of performance indicators that the bonding operation needs to achieve in that region. Optimization objectives typically have multi-dimensional attributes, such as minimizing the maximum stress during bonding, maximizing the effective contact area between the membrane and the cover plate, reducing the residual rate of interface bubbles, increasing the local bonding speed, and reducing the risk of membrane damage. Since these objectives may be mutually restrictive or conflicting, the system can comprehensively weigh them based on priority strategies or weight settings.

[0044] Based on the aforementioned optimization objectives, the system further generates several sets of candidate combinations of running paths, motion rates, and force parameters. This generation process utilizes intelligent optimization algorithms (such as genetic algorithms, particle swarm optimization algorithms, or expert rule-based parameter generators) to systematically generate multiple representative combinations of bonding strategies for the identified geometric feature regions. These parameter combinations may include the roller center trajectory, attitude change sequence, local downforce, lateral force, micro-vibration frequency and amplitude, linear velocity, or angular velocity, etc., to explore the performance of different bonding strategies under multi-objective conditions.

[0045] To verify the effectiveness of candidate parameter combinations, the system utilizes high-precision physical simulation methods (such as finite element analysis (FEA) or multiphysics simulation tools) to simulate the deformation, stress distribution, and bonding efficiency of the membrane material in corresponding geometric feature regions. The simulation model can simultaneously consider the nonlinear material properties of the membrane material, the fine geometry of the cover plate, the kinematic and dynamic characteristics of the bonding device, and environmental factors such as thermal or frictional conditions. This allows for the acquisition of key indicators such as the dynamic deformation behavior of the membrane material under different parameter combinations, internal stress evolution, interfacial contact state, and the time efficiency of the bonding process.

[0046] After obtaining the simulation results, the system quantitatively evaluates the candidate parameter combinations based on three core indicators: bonding accuracy, production efficiency, and membrane material damage risk, generating a comprehensive score. Bonding accuracy can be measured by indicators such as bonding gap, residual air bubbles, and edge alignment error; production efficiency can be evaluated based on indicators such as bonding cycle, energy consumption, and equipment load level; membrane material damage risk can be analyzed based on maximum principal stress, maximum shear stress, strain concentration distribution, and potential breakage probability. By assigning scientific weights to each indicator and performing weighted summation, a comprehensive score for each parameter combination can be obtained.

[0047] Finally, from all candidate parameter combinations, the system will filter out the combinations that meet the process constraints (such as maximum allowable pressure, minimum bonding speed, equipment stroke and angle limitations, etc.), and select the parameter combination with the highest comprehensive score as the final running path, motion rate, and force parameters. This combination, after multi-objective optimization, simulation verification, and constraint filtering, can effectively improve bonding quality, increase production efficiency, and reduce the risk of membrane material damage, thereby guiding the bonding device to perform high-precision membrane bonding operations.

[0048] Optionally, the steps of controlling the bonding device to perform the film bonding operation after adjusting the running path, movement speed, and force parameters, and optimizing the motion control of the bonding device based on the contact force and position information during the bonding process, include: It receives contact force distribution data from a miniature pressure sensor array inside the roller, as well as relative position data between the membrane edge and the cover plate edge from a visual positioning system. Analyze the contact force distribution data to identify specific areas where there is a local deviation from the normal bonding pressure curve; Determine whether the local deviation in a specific area is consistent with the known geometric features of the cover plate surface or the microscopic surface state after pretreatment, and obtain the local deviation judgment result; When the local deviation judgment result is inconsistent, and the change pattern of the local deviation exhibits the characteristics of micron-level foreign matter or local defects, the local force adjustment strategy is triggered. When a micron-sized foreign object is detected causing a sudden increase in local pressure, the local downward pressure of the roller in the foreign object area is reduced. When a micron-sized foreign object is detected, causing a sudden increase in local pressure, the local contact angle of the roller is adjusted so that the foreign object is bypassed or carried away by the roller. When a local defect is detected that causes a sudden drop in pressure or uneven contact, increase the local downward pressure of the roller in the defect area. When a local defect is detected that causes a sudden drop in pressure or uneven contact, the micro-vibration function of the roller is used to promote the filling of the defect area by the membrane material. When a local defect is detected that causes a sudden drop in pressure or uneven contact, the micro-vibration function of the roller is used to expel the trapped air bubbles.

[0049] The process of receiving contact force distribution data from a miniature pressure sensor array inside the roller, and relative position data between the membrane edge and the cover plate edge from a visual positioning system, refers to the real-time, high-resolution pressure monitoring of the contact interface between the roller and the membrane / cover plate using a high-sensitivity miniature pressure sensor array embedded within the roller. This sensor array can capture micron-level pressure changes to reflect the stress state of the interface during the bonding process. Simultaneously, real-time monitoring of the relative position between the membrane edge and the cover plate edge through a high-precision visual positioning system ensures bonding alignment accuracy and helps identify positional errors caused by minor equipment vibrations, material springback, or assembly misalignments.

[0050] Analyzing contact force distribution data and identifying specific areas with localized deviations from the normal bonding pressure curve involves comparing the real-time measured contact force distribution with a pre-set normal pressure curve based on the cover plate geometry and membrane material properties, and identifying areas exhibiting abnormal pressure. These abnormal pressures may manifest as sudden increases or decreases in localized pressure, or uneven pressure distribution, and are typically used to indicate the presence of surface defects, foreign objects, or areas of insufficient bonding.

[0051] Determining whether a local deviation in a specific area matches the known geometric features of the cover plate surface or the pre-processed microscopic surface state yields a local deviation judgment result. This involves the system comparing real-time deviation characteristics with pre-stored geometric information (such as edge positions, hole boundaries, chamfered areas, and preset grooves) and microscopic unevenness data acquired before bonding to distinguish whether the deviation is a predictable phenomenon caused by normal structure or an unknown anomaly. When the amplitude, spatial range, or change pattern of the deviation significantly deviates from the known geometric features or pre-processed data, the system will determine the deviation as an "unexpected deviation."

[0052] When the local deviation judgment result is inconsistent, and the deviation change pattern exhibits typical characteristics of micron-sized foreign objects or local defects, the local force adjustment strategy is triggered. Micron-sized foreign objects typically manifest as a sudden increase in local pressure with a small affected area; local defects (such as scratches, pits, local peeling points, etc.) typically manifest as a sudden drop in local pressure or uneven contact, and have a clear spatial continuity.

[0053] When a micron-sized foreign object is detected causing a sudden increase in local pressure, the local downward pressure of the roller in that area is reduced. This aims to prevent the foreign object from being further pressed into the membrane or cover plate by the roller, and to reduce the risk of permanent indentation or tearing of the membrane. At the same time, the local contact angle of the roller can be adjusted so that the roller bypasses the foreign object or guides the foreign object to a non-functional area, reducing its impact on the bonding quality.

[0054] When a localized defect is detected causing a sudden drop in pressure or uneven contact, the localized downward pressure of the roller in that area is increased to encourage the membrane material to fully penetrate the defective area, achieving complete adhesion and avoiding residual gaps or air bubbles. To further improve the adhesion effect, the roller's micro-vibration function can be activated. High-frequency, small-amplitude vibrations reduce the interfacial friction between the membrane material and the cover plate, improving the membrane material's flowability and extensibility, making it easier to fill localized depressions or irregular surface areas. Furthermore, micro-vibration can effectively break the surface tension of residual air bubbles at the interface, allowing them to more easily escape along the roller's movement direction or the membrane material's edge, thereby reducing the risk of air bubble retention and adhesion defects.

[0055] Optionally, the step of receiving contact force distribution data provided by a miniature pressure sensor array inside the roller, and relative position data between the membrane edge and the cover plate edge provided by a vision positioning system, includes: Configured with a multispectral light source; Based on the transparency characteristics of the membrane material, specific wavelengths of light are selected for illumination to enhance the contrast at the edges of the membrane material; Based on the reflective properties of the cover plate surface, the illumination angle and intensity of the multispectral light source are adjusted to suppress reflective interference; When there are patterns or textures on the cover plate surface, polarized light is used for illumination, and image data is received through a polarizing filter to eliminate the influence of patterns or textures on edge recognition. The received image data is subjected to local contrast enhancement processing to highlight the edge features of the membrane material and cover plate; Subpixel-level edge extraction is performed on the enhanced image data to improve the accuracy of edge localization.

[0056] Specifically, configuring a multispectral light source refers to integrating an illumination device capable of emitting multiple wavelengths of light into a visual positioning system. This multispectral light source can flexibly switch or combine different wavelengths of light for illumination based on different application scenarios and material properties, adapting to various complex visual inspection needs. Specifically, selecting a specific wavelength of light for illumination based on the transparency characteristics of the membrane material to enhance the contrast of the membrane edge can be understood as selecting a specific wavelength of light with higher absorption or reflectivity for membrane materials of different transparency. For example, for highly transparent membrane materials, ultraviolet or infrared light can be selected for illumination to make its edges present a more obvious contrast in the image, thus facilitating identification. In practical applications, adjusting the illumination angle and intensity of the multispectral light source based on the reflective characteristics of the cover plate surface to suppress reflective interference refers to changing the incident angle and illumination intensity of the light source to avoid specular reflection or excessive scattering on the cover plate surface. These reflections and scatterings may cause image overexposure or loss of detail, thus affecting edge recognition. The purpose is to ensure image quality and make the features of the cover plate surface clearly visible.

[0057] Furthermore, when patterns or textures exist on the cover plate surface, polarized light illumination is used, and image data is received through a polarizing filter to eliminate the influence of patterns or textures on edge recognition. Specifically, polarized light illumination can effectively distinguish between reflections caused by surface geometry (such as edges) and reflections caused by surface textures or patterns. By setting a polarizing filter orthogonal to the illumination polarization direction at the receiving end, most of the non-polarized or specific polarization direction light caused by surface textures can be filtered out, thereby highlighting the true edge information of the membrane material and cover plate. The purpose is to improve the robustness of edge recognition and reduce false recognition. In addition, local contrast enhancement processing is performed on the received image data to highlight the edge features of the membrane material and cover plate. This refers to using image processing algorithms, such as adaptive histogram equalization or unsharpening masks, to enhance the grayscale or color differences in local areas of the image, making the edge information at the junction of the membrane material and cover plate more distinct. The purpose is to provide high-quality input images for subsequent edge extraction. Finally, sub-pixel level edge extraction is performed on the enhanced image data to improve edge localization accuracy. This involves using advanced image processing techniques, such as Zernike moments, Canny operators combined with interpolation, to perform finer edge localization between pixel grids, thereby improving the accuracy of edge position to the sub-pixel level, far exceeding the accuracy of traditional pixel-based edge detection. The aim is to meet the positional information requirements of high-precision fitting.

[0058] Optionally, when the local deviation judgment result is inconsistent, and the change pattern of the local deviation exhibits characteristics of micron-level foreign matter or local defects, the steps to trigger the local force adjustment strategy include: It receives real-time data on the contact force and position of the rollers; The contact force data and location data are compared with their respective expected values ​​to obtain the deviation comparison results; When the deviation comparison result indicates the existence of a deviation, a correction signal is generated; Adjust the servo drive parameters of the roller based on the calibration signal; Adjust the gain parameters of the control loop according to the speed of the roller.

[0059] Specifically, real-time reception of roller contact force and position data refers to continuously acquiring information on the contact force distribution between the roller and the membrane material and cover plate, as well as the roller's precise position in space, through a miniature pressure sensor array integrated inside the roller and an external visual positioning system. This data forms the basis for subsequent dynamic adjustments, aiming to provide real-time status feedback during the bonding process.

[0060] The process involves comparing contact force and position data with their respective expected values ​​to obtain deviation comparison results. This can be understood as comparing the real-time acquired contact force and position data with a pre-set ideal bonding curve and path generated based on digital model data. The purpose of this comparison is to identify any deviation between the current bonding state and the ideal state, thereby quantifying the magnitude and direction of the deviation.

[0061] In practical applications, when the deviation comparison results indicate the existence of a deviation, a correction signal is generated. This means that once a significant difference is detected between the real-time data and the expected value, the system will calculate the correction amount that needs to be adjusted for the bonding device based on a preset control algorithm (such as a PID controller) and convert it into an electrical signal or digital command.

[0062] Furthermore, adjusting the servo drive parameters of the roller based on the correction signal means directly applying the generated correction signal to the servo motor driver that controls the roller's movement. Servo drive parameters may include, but are not limited to, current, voltage, frequency, or pulse width. By adjusting these parameters, the roller's speed, direction, or applied force can be precisely changed to correct detected deviations.

[0063] Furthermore, adjusting the gain parameters of the control loop based on the roller's speed takes into account the changes in the dynamic response characteristics between the roller and the membrane and cover plate at different speeds. For example, at high speeds, the system may require a lower gain to avoid oscillations, while at low speeds, a higher gain may be needed to improve response speed and accuracy. Therefore, by acquiring the roller's speed in real time and dynamically adjusting the proportional, integral, and derivative gain parameters of the control loop (such as a PID controller), the control system can maintain optimal stability and response performance under various operating conditions.

[0064] Optionally, the steps of adjusting the gain parameters of the control loop according to the movement speed of the roller include: Get the real-time movement speed of the scroll wheel; Calculate the instantaneous contact stiffness of the contact area between the roller and the cover plate and membrane material based on the real-time movement speed; The gain parameters of the control loop are adjusted based on the instantaneous contact stiffness.

[0065] Specifically, obtaining the real-time movement speed of the rollers refers to continuously or periodically collecting linear or angular velocity data of the rollers during the film lamination process using encoders, speed sensors, or other motion detection devices installed on the roller drive system. This data is transmitted to the control system in real time, serving as the basis for subsequent calculations and adjustments.

[0066] The calculation of instantaneous contact stiffness in the contact area between the roller and the cover plate / membrane material, based on real-time motion speed, can be understood as dynamically estimating the instantaneous stiffness of the contact interface between the roller and the membrane material, and between the membrane material and the cover plate, using the real-time acquired roller motion speed, combined with a pre-established mechanical model, material parameters (such as the elastic modulus and Poisson's ratio of the membrane material and cover plate), and a contact geometry model. This instantaneous contact stiffness reflects the resistance generated by the contact area when subjected to small deformations and is a key parameter for measuring the dynamic response characteristics of the system. For example, a contact stiffness lookup table under different speeds and material conditions can be pre-established through finite element analysis (FEA), or a real-time calculation model can be used to estimate the stiffness based on Hertzian contact theory or a more complex contact mechanics model.

[0067] In practical applications, adjusting the gain parameters of the control loop based on the instantaneous contact stiffness involves dynamically adjusting parameters such as the proportional gain (Kp), integral gain (Ki), and derivative gain (Kd) in the control loop (e.g., a PID controller) using the calculated instantaneous contact stiffness as input. The aim is to match the response characteristics of the control loop to the current contact stiffness, thereby maintaining optimal dynamic response and stability of the system under different motion speeds and contact conditions. For example, when the instantaneous contact stiffness is high, it may be necessary to appropriately reduce the gain to avoid oscillations; when the instantaneous contact stiffness is low, it may be necessary to appropriately increase the gain to accelerate the response speed.

[0068] Optionally, adjusting the local downward pressure of the roller based on the instantaneous adhesion strength includes: Obtain information on the roughness distribution, surface energy distribution, and chemical polarity distribution of the cover plate's microscopic surface; Based on the roughness distribution information, surface energy distribution information, and chemical polarity distribution information, combined with the rheological properties of the film material backing adhesive, the instantaneous wetting angle and spreading rate of the film material backing adhesive on the microscopic surface of the cover plate are calculated. Based on the instantaneous wetting angle and spreading rate, combined with the predicted instantaneous adhesion strength, adjust the local downward pressure of the roller.

[0069] Specifically, obtaining information on the roughness distribution, surface energy distribution, and chemical polarity distribution of the cover plate's microscopic surface refers to acquiring the surface undulations at the micrometer or even nanometer scale using high-precision surface morphology measurement equipment (such as atomic force microscopy (AFM) and white light interferometers), thus forming roughness distribution information. Surface energy distribution information can be measured using a contact angle meter in conjunction with different probe liquids, reflecting the tendency of the cover plate surface to interact with the liquid. Chemical polarity distribution information can be obtained by analyzing the distribution of functional groups on the cover plate surface using techniques such as infrared spectroscopy, Raman spectroscopy, or X-ray photoelectron spectroscopy (XPS), thereby characterizing its chemical polarity. This information provides a comprehensive description of the cover plate's microscopic surface state and is fundamental to understanding the interaction between the film adhesive and the cover plate surface.

[0070] The rheological properties of the membrane adhesive can be understood as considering its physical properties such as viscosity, elasticity, shear thinning, or thixotropy during the lamination process. These rheological properties determine how the adhesive flows, spreads, and fills the depressions on the cover plate's micro-surface under roller pressure. The instantaneous wetting angle refers to the contact angle formed at the instant the membrane adhesive contacts the cover plate's micro-surface; it reflects the adhesive's wetting ability on the cover plate surface. The spreading rate refers to the speed at which the adhesive diffuses across the cover plate surface, affecting the time and area of ​​effective contact between the adhesive and the cover plate surface. These parameters can be tested using a rheometer and calculated using a wetting kinetics model.

[0071] In practical applications, the local downward pressure of the roller is adjusted based on the instantaneous wetting angle and spreading rate, combined with the predicted instantaneous adhesion strength. This means that the actual wetting and spreading behavior of the adhesive is further considered on top of the predicted instantaneous adhesion strength. For example, if the calculated instantaneous wetting angle is large or the spreading rate is slow, it indicates insufficient affinity between the adhesive and the cover plate surface or difficulty in spreading. In this case, it may be necessary to appropriately increase the local downward pressure of the roller to promote better wetting and spreading of the adhesive, thereby ensuring a strong adhesion. Conversely, if the wetting angle is small and the spreading rate is fast, good adhesion may be achieved with lower local downward pressure.

[0072] In some preferred embodiments, it is assumed that the surface of the cover plate to be bonded has different micro-treatments in different areas. For example, one area may have undergone hydrophilic treatment, while another area may remain in its original hydrophobic state, or there may be localized wear leading to increased roughness. First, roughness distribution, surface energy distribution, and chemical polarity distribution information of these areas are obtained using high-resolution surface analysis equipment. Simultaneously, rheological tests are performed on the adhesive backing of the film material to obtain its viscosity, elasticity, and other rheological properties. During the bonding process, when the roller moves to the hydrophilic area, due to the higher surface energy, the instantaneous wetting angle of the adhesive backing may be smaller, resulting in a faster spreading rate. In this case, the system may appropriately reduce the local downward pressure of the roller in that area based on these calculations and the predicted instantaneous adhesion strength to avoid excessive compression. Conversely, when the roller moves to the hydrophobic or high-roughness area, the instantaneous wetting angle of the adhesive backing may be larger, resulting in a slower spreading rate. The system will correspondingly increase the local downward pressure of the roller to promote sufficient wetting and filling of micro-gaps by the adhesive backing, ensuring a strong adhesion. Through this dynamic and precise adjustment, high-quality membrane bonding can be achieved even when faced with complex microscopic surface conditions.

[0073] This application proposes a computer-aided design-based membrane bonding optimization system for performing computer-aided design-based membrane bonding optimization, combined with... Figure 3As shown, the computer-aided design-based membrane bonding optimization system 1 includes: The geometric shape acquisition module 11 is used to acquire the geometric shape information of the cover plate to be bonded; Digital model conversion module 12 is used to convert geometric topography information into digital model data; The digital model update module 13 is used to obtain the actual state of the cover plate to be bonded and update the digital model data according to the actual state. The bonding data generation module 14 is used to generate the running path, movement speed and force parameters for the membrane bonding operation based on the cover plate geometric features reflected in the updated digital model data. The data adjustment module 15 is used to adjust the running path, movement speed and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data. The membrane bonding operation module 16 is used to control the bonding device to perform membrane bonding operations after adjusting the running path, movement speed and force parameters, and to optimize the motion control of the bonding device based on the contact force information and position information during the bonding process.

[0074] To make the technical solution of this application easier and clearer to understand, the following provides a detailed description of each module in the membrane bonding optimization system of this application.

[0075] The specific steps and principles of the membrane bonding optimization method have been described in the above embodiments, and will not be repeated here. It should be emphasized that the membrane bonding optimization system of this application realizes the various functions of the above method through the coordinated work of a series of functional modules.

[0076] Specifically, the geometry acquisition module can be a standalone hardware unit, such as a 3D laser scanner or structured light measurement device, whose output data is directly transmitted to the digital model conversion module. Alternatively, this module can be a data interface integrated into computer-aided design software, used to directly read CAD model files.

[0077] The digital model conversion module can be a software program running on the processing unit, responsible for uniformly converting geometric topography information in different formats (such as point cloud data and STL files) into digital model data structures (such as NURBS surface models or parametric solid models) used internally by the system. This module can be implemented based on existing geometry processing libraries or custom-developed data conversion algorithms.

[0078] The digital model update module can be a data processing unit that receives real-time data from various sensors (such as vision sensors, temperature sensors, and humidity sensors) and fuses it with the initial digital model. For example, it can identify the actual position and orientation of the cover plate using image recognition algorithms and perform spatial calibration on the digital model. This module can also perform deformation compensation calculations on the digital model based on environmental parameters (such as temperature and humidity).

[0079] The data generation module can be an algorithm engine that, based on updated digital model data, uses computational methods such as geometric analysis and finite element analysis to generate initial running paths, motion rates, and force parameters. For example, it can calculate the roller path and pressure requirements based on the curvature distribution of the cover plate. The implementation of this module can rely on high-performance computing platforms and specialized simulation software.

[0080] The bonding data adjustment module can be an optimization algorithm unit that receives microscopic unevenness information from high-resolution surface inspection equipment (such as optical microscopes or atomic force microscopes) and fuses it with the parameters output by the bonding data generation module. For example, when high local roughness is detected, this module can adjust the local downward pressure or the micro-vibration parameters of the roller. The implementation of this module can be based on machine learning algorithms or adaptive control strategies.

[0081] The membrane bonding operation module can be an integrated mechatronic system incorporating a motion controller, servo driver, and various sensors. This module receives adjusted operating path, motion rate, and force parameters, and controls the bonding device (such as a multi-axis robotic arm or precision rollers) to perform the bonding operation. Simultaneously, this module is also responsible for receiving contact force distribution data from a miniature pressure sensor array inside the rollers and relative position data between the membrane edge and the cover plate edge from a vision positioning system. Based on this real-time feedback, it dynamically adjusts the motion control parameters of the bonding device to achieve closed-loop optimization.

[0082] The membrane bonding optimization system of this application works by constructing a dynamically updated digital model that integrates the macroscopic geometric features of the cover plate with information on microscopic surface unevenness, thereby achieving precise control over the membrane bonding process. Traditional methods often rely solely on preset macroscopic geometric data, which cannot cope with changes in the actual state of the cover plate and the influence of microscopic defects. The geometric shape acquisition module of this application first acquires the geometric shape information of the cover plate, and then the digital model conversion module converts it into digital model data, laying the foundation for subsequent accurate calculations. Crucially, the digital model update module acquires the actual state of the cover plate and updates the digital model data in real time, enabling the system to reflect the true condition of the cover plate before bonding, such as its precise position and orientation on the production line, and even environmental factors such as temperature and humidity, thus avoiding bonding deviations caused by discrepancies between reality and the model.

[0083] Based on this, the bonding data generation module generates initial running paths, movement speeds, and force parameters according to the cover plate's geometric features reflected in the updated digital model data. This step considers the macroscopic shape of the cover plate, ensuring that the membrane material can roughly conform to the overall contour of the cover plate. However, relying solely on macroscopic geometric features is insufficient. The innovation of this application lies in the bonding data adjustment module further refining these parameters based on the cover plate's microscopic unevenness information reflected in the updated digital model data. This means the system can identify the cover plate's surface roughness, local depressions, or protrusions at the micrometer scale, and adjust the roller's local downward pressure, contact angle, or micro-vibration frequency accordingly to ensure that the membrane material's adhesive can fully wet and fill these microstructures, avoiding the generation of bubbles and localized delamination.

[0084] Ultimately, during the actual bonding process, the film bonding operation module dynamically optimizes the motion control of the bonding device by monitoring contact force and position information in real time. For example, when the micro pressure sensor array inside the roller detects abnormal local contact force, or when the visual positioning system detects a deviation between the edge of the film and the edge of the cover plate, the system can immediately trigger a feedback mechanism to adjust the local downward pressure, movement speed, or running path of the roller. This closed-loop control mechanism enables the bonding process to adapt to local changes in the cover plate and dynamic responses during the bonding process in real time, thereby significantly improving bonding accuracy and efficiency and effectively reducing the defect rate.

[0085] The above are merely embodiments of this application and are not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for optimizing membrane bonding based on computer-aided design, characterized in that, include: Obtain the geometric shape information of the cover plate to be bonded; The geometric shape information is converted into digital model data; Obtain the actual state of the cover plate to be bonded, and update the digital model data based on the actual state; Based on the cover plate geometry features reflected in the updated digital model data, the running path, movement speed, and force parameters for membrane bonding operations are generated. Based on the microscopic unevenness information of the cover plate reflected in the updated digital model data, the running path, movement speed, and force parameters are adjusted. The bonding device is controlled to perform a film bonding operation after adjusting the running path, movement speed and force parameters, and the motion control of the bonding device is optimized based on the contact force information and position information during the bonding process.

2. The method for optimizing membrane bonding based on computer-aided design according to claim 1, characterized in that, The step of adjusting the running path, movement speed, and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data includes: The material properties parameters of the receiving membrane material; Identify areas of curvature variation on the cover surface reflected in the updated digital model data; Based on the material property parameters and the curvature variation region, calculate the expected deformation and stress distribution of the membrane material in the curvature variation region; Based on the expected deformation and stress distribution, adjust the running path, movement speed, and force parameters used for membrane bonding operations.

3. The method for optimizing membrane bonding based on computer-aided design according to claim 1, characterized in that, The step of adjusting the running path, movement speed, and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data includes: Obtain physicochemical property data of the cover plate surface; By integrating the aforementioned physicochemical property data with the updated digital model data, a holographic digital representation of the cover plate is formed; Based on the holographic digital representation information, the instantaneous adhesion strength of the film material backing adhesive is predicted; Based on the instantaneous adhesion strength, adjust the local downward pressure of the roller, the frequency of the roller's micro-vibration, the amplitude of the roller's micro-vibration, and the local contact angle of the roller.

4. The method for optimizing membrane bonding based on computer-aided design according to claim 1, characterized in that, The step of adjusting the running path, movement speed, and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data includes: Identify the geometric feature regions of the cover plate surface reflected in the updated digital model data; For the aforementioned geometric feature region, several optimization objectives are preset; For the geometric feature region, generate several sets of candidate running paths, motion speeds and force parameter combinations as candidate parameter combinations; Physical simulations were performed on the candidate parameter combinations to simulate membrane deformation, stress distribution, and bonding efficiency. After simulating membrane deformation, stress distribution, and bonding efficiency, the performance of the candidate parameter combinations in terms of bonding accuracy, production efficiency, and membrane damage risk is evaluated to obtain a comprehensive score for each candidate parameter combination. The candidate parameter combination that satisfies the constraints and has the highest comprehensive score is selected as the running path, motion rate, and force parameters for the membrane bonding operation.

5. The method for optimizing membrane bonding based on computer-aided design according to claim 1, characterized in that, The steps of controlling the bonding device to perform the film bonding operation after adjusting the running path, movement speed, and force parameters, and optimizing the motion control of the bonding device based on the contact force information and position information during the bonding process, include: It receives contact force distribution data from a miniature pressure sensor array inside the roller, as well as relative position data between the membrane edge and the cover plate edge from a visual positioning system. Analyze the contact force distribution data to identify specific areas where there is a local deviation from the normal bonding pressure curve; Determine whether the local deviation in a specific area is consistent with the known geometric features of the cover plate surface or the microscopic surface state after pretreatment, and obtain the local deviation judgment result; When the local deviation judgment result is inconsistent, and the change pattern of the local deviation exhibits the characteristics of micron-level foreign matter or local defects, the local force adjustment strategy is triggered. When a micron-sized foreign object is detected causing a sudden increase in local pressure, the local downward pressure of the roller in the foreign object area is reduced. When a micron-sized foreign object is detected, causing a sudden increase in local pressure, the local contact angle of the roller is adjusted so that the foreign object is bypassed or carried away by the roller. When a local defect is detected that causes a sudden drop in pressure or uneven contact, increase the local downward pressure of the roller in the defect area. When a local defect is detected that causes a sudden drop in pressure or uneven contact, the micro-vibration function of the roller is used to promote the filling of the defect area by the membrane material. When a local defect is detected that causes a sudden drop in pressure or uneven contact, the micro-vibration function of the roller is used to expel the trapped air bubbles.

6. The method for optimizing membrane bonding based on computer-aided design according to claim 5, characterized in that, The steps of receiving contact force distribution data provided by the array of miniature pressure sensors inside the receiving roller and relative position data between the edge of the membrane and the edge of the cover plate provided by the visual positioning system include: Configured with a multispectral light source; Based on the transparency characteristics of the membrane material, specific wavelengths of light are selected for illumination to enhance the contrast at the edges of the membrane material; Based on the reflective properties of the cover plate surface, the illumination angle and intensity of the multispectral light source are adjusted to suppress reflective interference; When there are patterns or textures on the cover plate surface, polarized light is used for illumination, and image data is received through a polarizing filter to eliminate the influence of patterns or textures on edge recognition. The received image data is subjected to local contrast enhancement processing to highlight the edge features of the membrane material and cover plate; Subpixel-level edge extraction is performed on the enhanced image data to improve the accuracy of edge localization.

7. The method for optimizing membrane bonding based on computer-aided design according to claim 5, characterized in that, The step of triggering the local force adjustment strategy when the local deviation judgment result is inconsistent and the change pattern of the local deviation exhibits the characteristics of micron-level foreign matter or local defects includes: It receives real-time data on the contact force and position of the rollers; The contact force data and the position data are compared with their respective expected values ​​to obtain the deviation comparison results; When the deviation comparison result indicates the presence of a deviation, a correction signal is generated; Adjust the servo drive parameters of the roller according to the correction signal; Adjust the gain parameters of the control loop according to the speed of the roller.

8. The method for optimizing membrane bonding based on computer-aided design according to claim 7, characterized in that, The step of adjusting the gain parameter of the control loop according to the movement speed of the roller includes: Get the real-time movement speed of the scroll wheel; Calculate the instantaneous contact stiffness of the contact area between the roller and the cover plate and membrane material based on the real-time movement speed; The gain parameters of the control loop are adjusted based on the instantaneous contact stiffness.

9. The method for optimizing membrane bonding based on computer-aided design according to claim 3, characterized in that, The step of adjusting the local downward pressure of the roller based on the instantaneous adhesion strength includes: Obtain information on the roughness distribution, surface energy distribution, and chemical polarity distribution of the cover plate's microscopic surface; Based on the roughness distribution information, the surface energy distribution information, and the chemical polarity distribution information, combined with the rheological properties of the film material backing adhesive, the instantaneous wetting angle and spreading rate of the film material backing adhesive on the microscopic surface of the cover plate are calculated. Based on the instantaneous wetting angle and spreading rate, combined with the predicted instantaneous adhesion strength, the local downward pressure of the roller is adjusted.

10. A computer-aided design-based membrane bonding optimization system, used to perform computer-aided design-based membrane bonding optimization, characterized in that, include: The geometric shape acquisition module is used to acquire the geometric shape information of the cover plate to be bonded; A digital model conversion module is used to convert the geometric shape information into digital model data; The digital model update module is used to obtain the actual state of the cover plate to be bonded and update the digital model data according to the actual state. The bonding data generation module is used to generate the running path, movement speed and force parameters for membrane bonding operation based on the cover plate geometric features reflected in the updated digital model data. The data adjustment module is used to adjust the running path, movement speed and force parameters based on the micro-unevenness information of the cover plate reflected in the updated digital model data. The membrane bonding operation module is used to control the bonding device to perform the membrane bonding operation after adjusting the running path, movement speed and force parameters, and to optimize the motion control of the bonding device based on the contact force information and position information during the bonding process.

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