Intelligent cutting optimization method and system for door plate

Abstract

The invention belongs to the field of door plate machining, and provides a door plate intelligent cutting machining optimization method and system.The door plate intelligent cutting machining optimization method comprises the steps that a door plate to be machined is positioned on a machining platform, the surface of the door plate is divided into a plurality of area units, and all the area units correspond to independent micro-thermal excitation control modules respectively; according to a preset thermal response excitation scheme, the micro thermal excitation control module is controlled to apply differential thermal input to different areas of the door plate, local materials are excited to generate micro thermal deformation, and stress redistribution is caused; acquiring a stress distribution atlas of each area on the surface of the door plate in a thermal excitation state by utilizing a photoelastic interference measurement device, and establishing a rigidity distribution model of the surface of the door plate based on the stress distribution atlas; and according to the rigidity distribution model, generating a non-uniform cutting path and a regional differentiation feed strategy in a numerical control cutting control module.

Description

Technical Field

[0001] The present invention belongs to the field of door panel processing, and in particular relates to an intelligent door panel cutting processing optimization method and system. Background Art

[0002] As high-end interior design concepts evolve toward minimalist integration and borderless facades, concealed doors and flat-panel doors, as key components for achieving visual continuity and spatial integrity, are being widely used in high-end residences, commercial clubs, art galleries, and other settings. Concealed doors typically require the door leaf to remain flush with the wall, skirting, or decorative surface when closed. They lack traditional door frames, hinges, or exposed hardware. Their structural design often utilizes special components such as a coverless design, invisible hinges, and magnetic locks. This places far higher processing requirements on the door panel's geometric accuracy, hole consistency, and edge integrity than traditional doors. While flat-panel doors may appear simple in appearance, they often utilize multi-layer composite core materials or directional pressed materials, making them susceptible to deformation due to moisture and heat, as well as internal material stresses. This can lead to processing deformation, edge collapse, and punching offset.

[0003] Currently, the production of high-end customized concealed doors and flat-panel doors typically relies on CNC cutting machines to perform high-precision edge trimming and functional hole punching. However, traditional CNC machining paths are often based on standard CAD graphics and empirical parameter settings, lacking the ability to adaptively adjust to the differences in door panel materials and local mechanical properties. During actual machining, significant non-uniformity in the structural stiffness and internal stress distribution of different regions of the door panel can easily cause tool vibration, tearing, and tool jumping in stress concentration areas, affecting the edge integrity and hole accuracy of the door panel. In severe cases, rework or scrapping may be necessary.

[0004] Especially in the manufacture of concealed doors, structural holes such as hinge holes and lock holes require not only high positioning precision but also reliable functionality within extremely small installation gaps. Any door leaf dislocation or closure problems caused by punching offsets will significantly impact the overall spatial perception and user experience. Therefore, there is an urgent need for an intelligent cutting optimization method for high-end customized door panel processing scenarios that can implement dynamic path adjustment and differentiated cutting strategies, improve overall processing quality and structural stability, and meet the manufacturing needs of the next generation of minimalist door systems. Summary of the Invention

[0005] In order to solve the problems in the prior art, the present invention provides a door panel intelligent cutting process optimization method, comprising the following steps:

[0006] Position the door panel to be processed on the processing platform, and divide the surface of the door panel into multiple area units, each area unit corresponding to an independent micro-thermal excitation control module;

[0007] According to a preset thermal response excitation scheme, the micro-thermal excitation control module is controlled to apply differentiated heat input to different areas of the door panel, thereby stimulating the local material to produce small thermal deformation and cause stress redistribution;

[0008] A photoelastic interferometry device is used to obtain stress distribution maps of various regions on the door panel surface under thermal excitation, and a stiffness distribution model of the door panel surface is established based on the stress distribution maps.

[0009] According to the stiffness distribution model, a non-uniform cutting path and a regional differentiated feed strategy are generated in a numerical control cutting control module.

[0010] Another aspect of the present invention provides a door panel intelligent cutting optimization system, characterized in that the system includes the following modules:

[0011] A division module is used to position the door panel to be processed on the processing platform and divide the surface of the door panel into multiple area units, each area unit corresponding to an independent micro-thermal excitation control module;

[0012] A heating module is used to control the micro-thermal excitation control module to apply differentiated heat input to different areas of the door panel according to a preset thermal response excitation scheme, thereby stimulating local material to produce micro thermal deformation and cause stress redistribution;

[0013] a modeling module for obtaining a stress distribution map of each region of the door panel surface under a thermally excited state using a photoelastic interferometry device, and establishing a stiffness distribution model of the door panel surface based on the stress distribution map;

[0014] A strategy module is used to generate a non-uniform cutting path and a regional differentiated feed strategy in a numerical control cutting control module according to the stiffness distribution model.

[0015] The intelligent door panel cutting optimization method and system provided by this invention addresses the technical pain points faced in the actual processing of high-end customized hidden doors and flat doors, such as non-uniform structural stiffness, high hole punching precision, and stringent edge integrity requirements. This system proposes an intelligent processing system that uses material thermal response and stress redistribution as input, constructs a stiffness distribution model through photoelastic interferometry, and dynamically generates non-uniform cutting paths and differentiated feed strategies based on this model. This system has the following beneficial effects:

[0016] By stimulating the internal stress response of the door panel material through heat-induced micro-deformation and combining it with photoelastic interference to form a stress distribution map, the stiffness variation patterns of different areas of the door panel are effectively revealed, the path and the physical level of the structure are aligned, and the adaptability and robustness of the cutting strategy are significantly improved. For high-precision structural holes such as hinge holes, lock body holes, and magnetic lock holes commonly found in hidden doors, the path fine-tuning and feed speed optimization driven by the stiffness response can effectively suppress defects such as cracks on the hole edges, offset and ablation, ensuring its structural stability and functional reliability during installation, closing and long-term use. For areas with weak edge stiffness, the system automatically generates slow-feed paths and smooth tool paths to reduce edge chipping and tearing problems caused by stress concentration, while maintaining the consistency and aesthetics of the door panel surface to meet high-standard decorative requirements under minimalist design;

[0017] This method has the ability to predict risks, automatically avoid and compensate for paths, significantly reducing the rework rate, error correction times and tool wear cycle during door panel processing, improving production yield, and optimizing the factory's cutting cycle and resource allocation efficiency.

[0018] In summary, the present invention constructs an intelligent solution for high-end door panel processing scenarios from the four-level linkage of material response - stress disclosure - path generation - dynamic control. It has high engineering practicality and intelligent manufacturing foresight, and is particularly suitable for large-scale flexible production scenarios of precision door panel products such as hidden doors and flat doors. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 is a flow chart of the method of the present invention;

[0021] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0022] Below, the invention is preferably described with reference to the accompanying drawings and specific embodiments.

[0023] This embodiment solves the above problem through the following steps:

[0024] In one embodiment, reference Figure 1The present invention provides an intelligent cutting optimization method for door panels, particularly suitable for the precision manufacturing of high-end customized hidden doors and flat-panel doors. The method introduces a material response drive mechanism, integrates a micro-thermal excitation device, and a stress sensing system to achieve pre-assessment of the mechanical state of the door panel before processing and adaptive generation of regional processing strategies. This method aims to improve the intelligent scheduling capability of the cutting path and the processing stability of the system while ensuring the accuracy of the functional structure hole position and the overall processing quality. The method specifically includes the following steps:

[0025] Step S10 , positioning the door panel to be processed on a processing platform, and dividing the surface of the door panel into a plurality of area units, each area unit corresponding to an independent micro-thermal excitation control module.

[0026] Concealed doors and flat-panel doors are designed to achieve seamless alignment and interference-free assembly, placing extremely high demands on the edge stability of the door panels and the punching accuracy of functional holes (such as hinge holes and lock body holes). However, due to factors such as the natural non-uniformity of wood, residual stress from pressing the core, and the influence of environmental humidity, door panels are prone to deformation, warping, edge damage, and hole position errors during cutting. Therefore, by dividing the door panel into multiple processing control areas and configuring a controllable thermal excitation device for each area, the local thermal response behavior of the panel can be actively stimulated before cutting. This can then be used to identify the material heterogeneity and stiffness characteristics of the door panel in different areas, providing a mechanical information basis for subsequent path planning and parameter adjustment.

[0027] In the specific implementation, the door panel to be processed is placed flat on the CNC processing platform, and the door panel is stably clamped using a vacuum adsorption hole array or a mechanical frame clamp to ensure that it remains unchanged during the processing cycle.

[0028] A two-dimensional coordinate system for the door panel is established in the processing control system. The lower left corner is used as the origin, and the coordinate axes are set along the long and short sides of the panel. The entire door panel surface is divided into M×N area units, each unit is Δx×Δy, and is numbered R. ij (i∈[1,M],j∈[1,N]).

[0029] Several micro-thermal excitation devices are preset on the processing platform to make each R ij A corresponding set of independently controllable micro-thermal actuation control modules communicates with the main CNC control system to achieve precise temperature control of local areas. The micro-thermal actuation control modules are embedded above the processing platform or door panel surface and can independently control the heating power of micro heat source devices such as MEMS resistive heaters and infrared micro lasers.

[0030] Before heating begins, the overall surface temperature of the door panel is detected and a temperature-balanced preheating strategy is implemented to ensure that the temperature difference on the door panel surface does not exceed 2°C, thereby preventing initial thermal disturbances from affecting subsequent recognition results.

[0031] In step S20 , according to a preset thermal response excitation scheme, the micro-thermal excitation control module is controlled to apply differentiated heat input to different areas of the door panel, thereby exciting the local material to produce micro thermal deformation and cause stress redistribution.

[0032] The system first scans the QR code or visually identifies the basic parameters of the current door panel, including material type (such as multi-layer solid wood board, MDF board, etc.), thickness, overall dimensions and surface treatment status.

[0033] Based on the above parameters, the matching scheme is called in the preset thermal response strategy library to generate the door panel area excitation parameter matrix, where each area unit contains the following fields: excitation temperature value, heating rate, steady-state holding time, and cooling time window.

[0034] This parameter matrix is uploaded to the central control unit (CNC main control system or thermal excitation scheduling subsystem) as the main control instruction set of the excitation process.

[0035] The excitation sequence is set to avoid thermal interference caused by simultaneous heating of multiple adjacent areas. The excitation sequence adopts the staggered grouping + time window parallel strategy:

[0036] Divide the region matrix into several non-adjacent groups (such as R 11 、R 13 、R 15 as a group);

[0037] The delay between each group of stimulation was controlled to be 0.5 to 1.0 seconds.

[0038] A timeline schedule for each set of thermal excitations is constructed, and a heat diffusion buffer interval is added between regions to ensure that the thermal excitation effect is highly localized.

[0039] Central control unit to area R ij The heat source sends an excitation signal, commanding it to heat up to the target temperature (such as 55°C) at the set power, and the heating rate is controlled within 3°C / s.

[0040] After the temperature reaches the set value, the constant temperature state is maintained for a specific time (such as 2 seconds or 4 seconds) to ensure that the material produces a stable thermal expansion response.

[0041] The system configures soft and hard limits for all excitation modules:

[0042] Temperature limit: not exceeding 70°C to prevent structural debonding or surface discoloration of the wood;

[0043] The upper limit of the excitation time should not exceed 10 seconds to prevent heat accumulation from spreading to adjacent areas.

[0044] During each excitation process, the system calls the infrared temperature sensor array located above the door panel to perform high-frequency thermal imaging monitoring of all excitation areas (with a refresh rate of no less than 10Hz);

[0045] If the temperature rise in a certain area deviates from the set value by ±2°C, the system will immediately adjust the heat source power or shorten the excitation time to ensure that the temperature rise curve matches the parameter curve;

[0046] All temperature data are written into the recorder in real time and bound to the regional coordinates for subsequent time calibration and compensation calculation of stress response maps.

[0047] After all the excitation actions are completed, the door panel remains fixed and enters a natural temperature equilibrium period of 1 to 2 seconds. This stage is the stress reconstruction and diffusion stage, ensuring that the deformation reaches a stable response state.

[0048] When the heat source is turned off, the thermal disturbance on the door panel surface dissipates rapidly under natural cooling or air cooling conditions, but the resulting material stress redistribution and micro-deformation are recorded in its current state and enter the observable state.

[0049] The system determines the temperature drop rate and confirms that the surface temperature has returned to a safe baseline (such as below 30°C) before entering the next stage of photoelastic interferometry pattern collection.

[0050] Step S30 , using a photoelastic interferometry measurement device to obtain stress distribution maps of various regions on the door panel surface in a thermally excited state, and establishing a stiffness distribution model of the door panel surface based on the stress distribution maps.

[0051] Photoelastic interferometry is a method that uses the phase change of light waves to measure the internal stress of materials. It is particularly suitable for non-contact stress field observation of non-metallic transparent or translucent materials (such as certain wood composite materials). The local thermal excitation applied in step S20 will stimulate tiny thermal expansion and stress reconstruction inside the material, and the distribution characteristics of these stresses - especially the principal stress difference and its spatial gradient - can more accurately reflect the structural stiffness differences and potential defect areas in different areas of the door panel. Therefore, by capturing and modeling the photoelastic interference pattern after thermal excitation, a spatial distribution map of the real mechanical behavior of the door panel can be obtained, providing an accurate physical basis for the subsequent generation of cutting paths, punching posture compensation, etc.

[0052] In a specific implementation:

[0053] Start the photoelastic interferometry measurement device and set the measurement mode to dual-polarization single-pass or reflective, depending on the surface reflectivity and light transmittance of the door panel material; configure the light source wavelength (such as 632.8nm red light or 532nm green light) and set the light source collimation angle to cover the entire door panel surface to ensure that the interference image is uniform and readable.

[0054] After completing the S20 thermal excitation and stabilizing the stress state, the door panel is immediately scanned in full width to collect multiple photoelastic interference images (generally not less than 5Hz) to preserve the dynamic evolution process; spatial distortion calibration is performed to eliminate the edge distortion error introduced by the nonlinearity of the optical path; the collected images are grayscale normalized, background denoised, and edge enhanced to enhance the contrast of equal stress difference fringes.

[0055] The processed image is then subjected to phase unwrapping technology (such as Fourier transform or phase shift interferometry) to reconstruct the phase of the fringes and extract a continuous phase map. The phase jump edge of each pixel is identified in the continuous phase map, and the interference order N(x,y) in each area, that is, the number of fringes, is accumulated and calculated by setting a reference phase point and combining the phase change law of the neighborhood. That is, the interference order corresponding to the principal stress difference at the observation point is the interference order.

[0056] Combined photoelastic constant f σ and the door panel thickness t, calculate the principal stress difference Δσ(x,y) in the region according to the following formula:

[0057]

[0058] The above calculation results are constructed as a stress distribution map (Stress Map), that is, the spatial distribution matrix of Δσ(x,y).

[0059] Based on the thermoelastic coupling properties of the material, the principal stress difference is mapped to the stiffness response:

[0060]

[0061] Where K(x,y) represents the stiffness value of the (x,y) region; K0 represents the upper limit of the theoretical stiffness of the material; It represents the gradient of the principal stress difference and the stress change rate; λ represents the stiffness sensitivity coefficient, which is used to adjust the mapping relationship.

[0062] The stiffness values of all regions and their coordinates are combined into data pairs [x, y, K(x, y)] to form a door panel stiffness distribution model, which serves as the input for subsequent path planning and parameter adjustment.

[0063] Step S40: generating a non-uniform cutting path and a regional differentiated feed strategy in a numerical control cutting control module according to the stiffness distribution model.

[0064] In the processing of hidden doors and flat doors, the stiffness of the door panels often exhibits spatial non-uniformity due to material structure, residual internal stress, or the combination method of the panel core. If a unified cutting path and constant feed parameters are adopted, it will lead to problems such as tearing of the cutting edge, heat accumulation, obvious vibration marks, and hole position deviation in some weak-rigidity areas. Therefore, in this step, by analyzing the local stiffness levels of each area of the door panel, the cutting trajectory, feed speed, spindle speed, and cutting load of the CNC tool are actively adjusted to make the cutting process follow the material structure. In the areas with weak stiffness, the cutting intensity is reduced and the feed rhythm is slowed down, while in the areas with high stiffness, the efficiency and linear speed are increased, realizing dynamic processing matching driven by material perception, ultimately improving cutting stability, extending tool life, and ensuring hole position accuracy.

[0065] In a specific implementation:

[0066] The numerical values in the stiffness distribution model K(x, y) are divided into several levels, such as high stiffness (K > K1), medium stiffness (K0 < K ≤ K1), and low stiffness (K ≤ K0); according to the classification results, color marking or layer coding is performed on the surface of the door panel to form a processing response partition map for guiding the parameter configuration in the path planning stage. Among them, K0 and K1 are set stiffness boundary values, which can be dynamically generated by processing experience or statistical learning models.

[0067] Initial path generation, according to the CAD drawing and functional requirements of the door panel, a standard cutting path is generated in CAM (Computer Aided Manufacturing) software, including operation sequences such as edge machining, hole drilling, and chamfering; the path is discretized into a set of tool stepping trajectory points {P i}, and each point P i = (x i , y i ) is mapped to the stiffness value K(P i ) at its location.

[0068] Construct non-uniform path optimization. For each trajectory segment [P i , P i+1 in the path, according to the average stiffness between two points adjust the path interpolation density and path curvature:

[0069] If is lower, such as lower than a preset value, the path density is encrypted, the interpolation is finer, and the path is smoother to avoid sudden force on the tool;

[0070] If is higher, such as higher than another preset value, the original trajectory is maintained, or the path nodes are appropriately simplified to improve the processing speed.

[0071] In the edge area and near the hole position, if the corresponding K(x,y) is lower than the set threshold, a path offset (for example, 0.1 to 0.3 mm) needs to be applied to avoid cutting directly along the weak edge.

[0072] Perform differentiated feed strategy configuration and configure independent machining parameter groups for each trajectory segment:

[0073]

[0074] in:

[0075] f i represents the feed rate of the i-th segment;

[0076] n i Indicates the spindle speed;

[0077] f0 and n0 represent the default reference speed and rotation speed;

[0078] K(P i ) represents the stiffness of the current point;

[0079] K max Indicates the maximum stiffness value of the entire plate;

[0080] β and γ represent adjustment coefficients, which determine the response sensitivity to stiffness differences and can be set based on experience or experimental data.

[0081] Through the above steps, an active cutting adjustment mechanism based on physical feedback is implemented. Compared to the traditional method of setting uniform processing conditions based solely on tool model and process parameter library, the non-uniform path and differentiated strategy enable the CNC system to intelligently judge the material, significantly reducing fractures, edge collapse, and hole deviation in weak areas. It also improves overall processing efficiency and equipment lifespan, making it particularly suitable for the high-precision assembly requirements of hidden door and frameless design scenarios.

[0082] For example:

[0083] R of a door panel to be processed 22 The area is identified as a low stiffness area (K value is 60% of the average value of the whole plate), and the system is 22 The path generated for this area was automatically adjusted to a finer interpolation point (point pitch reduced from 0.5mm to 0.2mm), the feed rate was reduced from the default 1800mm / min to 1100mm / min, and the spindle speed was adjusted from 12000rpm to 9500rpm. At the same time, the drilling paths for the two lock body holes in this area were offset 0.2mm away from the plate edge, and a pre-drilled shallow hole was introduced to assist in ensuring that the punching did not cause cracks.

[0084] See also Figure 2In another embodiment, the present invention further provides a door panel intelligent cutting process optimization system, comprising:

[0085] A division module is used to position the door panel to be processed on the processing platform and divide the surface of the door panel into multiple area units, each area unit corresponding to an independent micro-thermal excitation control module;

[0086] A heating module is used to control the micro-thermal excitation control module to apply differentiated heat input to different areas of the door panel according to a preset thermal response excitation scheme, thereby stimulating local material to produce micro thermal deformation and cause stress redistribution;

[0087] a modeling module for obtaining a stress distribution map of each region of the door panel surface under a thermally excited state using a photoelastic interferometry device, and establishing a stiffness distribution model of the door panel surface based on the stress distribution map;

[0088] A strategy module is used to generate a non-uniform cutting path and a regional differentiated feed strategy in a numerical control cutting control module according to the stiffness distribution model.

[0089] It should be noted that the explanation of the aforementioned embodiment of the door panel intelligent cutting processing optimization method is also applicable to the device of the embodiment of the present application and will not be repeated here.

[0090] Those skilled in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented using a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0091] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0092] In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), magnetic disk or optical disk, and other media that can store program code.

[0093] The above is only a specific embodiment of the present application. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in this application, which should be included in the scope of protection of this application. For some module structures that are not particularly clear in the present invention, the content recorded in the prior art shall prevail. The prior art mentioned in the above background technology section and the specific embodiment section of the present invention can be regarded as part of the present invention and is used to understand the meaning of some technical features or parameters.

Claims

1. A door panel intelligent cutting optimization method, characterized in that: The method comprises the following steps: Position the door panel to be processed on the processing platform, and divide the surface of the door panel into multiple area units, each area unit corresponding to an independent micro-thermal excitation control module; According to a preset thermal response excitation scheme, the micro-thermal excitation control module is controlled to apply differentiated heat input to different areas of the door panel, thereby stimulating the local material to produce small thermal deformation and cause stress redistribution; A photoelastic interferometry device is used to obtain stress distribution maps of various regions on the door panel surface under thermal excitation, and a stiffness distribution model of the door panel surface is established based on the stress distribution maps. According to the stiffness distribution model, a non-uniform cutting path and a regional differentiated feed strategy are generated in a numerical control cutting control module.

2. The door panel intelligent cutting optimization method according to claim 1 is characterized in that: The stress distribution maps of various regions on the door panel surface under thermal excitation are obtained using a photoelastic interferometry device, including: The phase of the fringes is reconstructed using Fourier transform or phase shift interferometry to extract the continuous phase image. Identify the phase jump edge of each pixel in the continuous phase image, set a reference phase point and combine the phase change law of the neighborhood to cumulatively calculate the interference order N(x,y) in each area; Based on the photoelastic constant f σ and the door panel thickness t, calculate the principal stress difference Δσ(x,y) in the region; The distribution of principal stress difference Δσ(x,y) is the stress distribution spectrum.

3. The door panel intelligent cutting optimization method according to claim 2, characterized in that: Establishing a door panel surface stiffness distribution model based on the stress distribution map includes: Based on the thermoelastic coupling properties of the material, the principal stress difference is mapped into the stiffness response; All regional stiffness values and their coordinates are formed into data pairs to construct the door panel stiffness distribution model.

4. The door panel intelligent cutting optimization method according to claim 1, characterized in that: Generating non-uniform cutting paths includes: For each trajectory segment in the path, the average stiffness between the two points is calculated Adjust path interpolation density and path curvature: like If it is lower than the first preset value, the path density is increased; like If it is higher than the second preset value, the original trajectory is maintained or the path nodes are simplified; If the corresponding stiffness value of the edge area and the vicinity of the hole is lower than the third preset value, a path offset is applied.

5. The door panel intelligent cutting optimization method according to claim 1, characterized in that: Generate area differentiation feed strategy including: Configure an independent set of machining parameters for each trajectory segment.

6. A door panel intelligent cutting process optimization system, characterized in that: The system includes the following modules: A division module is used to position the door panel to be processed on the processing platform and divide the surface of the door panel into multiple area units, each area unit corresponding to an independent micro-thermal excitation control module; A heating module is used to control the micro-thermal excitation control module to apply differentiated heat input to different areas of the door panel according to a preset thermal response excitation scheme, thereby stimulating local material to produce micro thermal deformation and cause stress redistribution; a modeling module for obtaining a stress distribution map of each region of the door panel surface under a thermally excited state using a photoelastic interferometry device, and establishing a stiffness distribution model of the door panel surface based on the stress distribution map; A strategy module is used to generate a non-uniform cutting path and a regional differentiated feed strategy in a numerical control cutting control module according to the stiffness distribution model.

7. The door panel intelligent cutting optimization system according to claim 6 is characterized in that: The stress distribution maps of various regions on the door panel surface under thermal excitation are obtained using a photoelastic interferometry device, including: The phase of the fringes is reconstructed using Fourier transform or phase shift interferometry to extract the continuous phase image. Identify the phase jump edge of each pixel in the continuous phase image, set a reference phase point and combine the phase change law of the neighborhood to cumulatively calculate the interference order N(x,y) in each area; Based on the photoelastic constant f σ and the door panel thickness t, calculate the principal stress difference in the area.

8. The door panel intelligent cutting optimization system according to claim 7, characterized in that: Establishing a door panel surface stiffness distribution model based on the stress distribution map includes: Based on the thermoelastic coupling properties of the material, the principal stress difference is mapped into the stiffness response; All regional stiffness values and their coordinates are formed into data pairs to construct the door panel stiffness distribution model.

9. The door panel intelligent cutting optimization system according to claim 6, characterized in that: Generating non-uniform cutting paths includes: For each trajectory segment [P i ,P i+1 ], based on the average stiffness between two points Adjust path interpolation density and path curvature: like If it is lower than the first preset value, the path density is increased; like If it is higher than the second preset value, the original trajectory is maintained or the path nodes are simplified; If the corresponding stiffness value of the edge area and the vicinity of the hole is lower than the third preset value, a path offset is applied.

10. The door panel intelligent cutting optimization system according to claim 6, characterized in that: Generate regional differentiated feed strategies including: Configure an independent set of machining parameters for each trajectory segment.

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