Parameterized simulation model design method and system suitable for plastic mold

Abstract

The invention relates to the technical field of model design optimization, in particular to a parameterized simulation model design method and system suitable for a plastic mold. The method comprises the following steps: acquiring parameters of a mold structure, a parting surface and a pouring system through a geometric parameter input module, converting the parameters into an electric signal group and generating a parameter mapping signal; obtaining a mold physical response signal according to the voltage change and forming a visual voltage curve; and performing parameter combination storage through the stable interval and the change rate of the curve, and outputting to a design system in real time to generate a parameterized simulation model. According to the method, the geometric parameters of the plastic mold are electrically signalized, the parameter coupling mapping relation is established, and in combination with precise recognition of the spatial dependency boundary and the parting contact band, intelligent analysis and high-precision parameterized simulation modeling of the mold structure parameters are realized, so that the automation degree and simulation precision of model generation are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of model design optimization technology, and in particular to a parametric simulation model design method and system suitable for plastic molds. Background Technology

[0002] In existing technologies, the parametric simulation model design of plastic molds typically relies on 3D modeling software for geometric modeling and parameter-driven control. Parameter relationships are mostly achieved through numerical constraints, feature mapping, or manual settings. While this approach can achieve parametric modeling of mold structures to a certain extent, it still has some minor drawbacks: First, the coupling relationship between geometric parameters lacks a physical response basis, making it difficult to truly reflect the structural linkage characteristics during the molding process; second, the parameter dependence identification of the parting surface and gating system mainly relies on manual definition, resulting in low automation and complex and delayed model adjustment and verification processes; third, changes between parameters are only manifested as geometric changes, lacking real-time electrical signals or energy mapping mechanisms, making it impossible to intuitively assess the dynamic impact of parameter changes. Summary of the Invention

[0003] Therefore, it is necessary to provide a parametric simulation model design method and system suitable for plastic molds to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, a parametric simulation model design method suitable for plastic molds is provided, the method comprising the following steps: Step S1: Set up a geometric parameter input module with an input port on the mold design device, wherein the geometric parameter input module is used to receive the basic structural parameters of the mold, the parting surface parameters and the gating system parameters in sequence; Step S2: Convert the input geometric parameters into corresponding electrical signal groups; generate parameter mapping signals by analyzing the amplitude ratio of the analog signals in the electrical signal groups; Step S3: Obtain the physical response signal of the mold based on the voltage change of the parameter mapping signal, and convert the physical response signal of the mold into a visual voltage curve; store the parameter combination of the parameter mapping signal by the stable range and change rate of the visual voltage curve to obtain the stored parameter combination result; Step S4: Output the stored parameter combination results to the mold design system to form a parametric simulation model of the plastic mold.

[0005] The present invention has the following beneficial effects: I. By introducing a geometric parameter input module and an electrical signal mapping mechanism into the mold design device, intelligent correlation between mold geometric parameters and physical simulation features is achieved. This method sequentially converts the mold's basic structural parameters, parting surface parameters, and gating system parameters into electrical signal sets. It then generates parameter mapping signals by adjusting the amplitude ratio of the analog signals, thereby reflecting the mold structure's response characteristics in the form of voltage changes. By visualizing the stable range and rate of change of the voltage curve, the combination optimization and storage output of mold parameters can be achieved, significantly improving the generation efficiency and accuracy of parametric models and reducing the errors and repetitive operations caused by multiple manual adjustments in traditional mold simulation.

[0006] Second, by establishing the geometric dependencies and functional coupling characteristics among the parameters of various parts of the mold, the physical action nodes of the mold are identified in the molding state, and the degree of coupling is quantitatively characterized based on the amplitude mapping relationship of electrical signals. This mechanism effectively reveals the synergistic interaction law between the basic structure of the mold, the parting surface, and the gating system, making the simulation model more physically meaningful in terms of parameter correlation and response consistency, thereby improving the matching degree between virtual simulation results and actual molding performance. Through this parameter mapping method based on electrical signal logic, the structured expression of complex geometric parameters at the electronic signal level can be realized, providing an innovative electro-geometric integrated realization path for mold parametric design.

[0007] Third, by analyzing the spatial overlap between the feature lines of the molding cavity contour and the projection lines of the parting surface, the boundary contour lines are extracted and the flow channel connection path is traced, realizing the overall geometric logic recognition of the molding cavity, parting surface, and gating system. Especially in parting surface recognition, the accuracy and stability of the parting contact zone recognition are ensured by multi-condition judgment of the continuity, morphological consistency, and normal distribution of the contact projection area. When the contour overlap rate, deviation, and normal angle all meet the preset conditions, a stable parting area can be accurately extracted, thus ensuring the consistency between the structural recognition results in the parameter input stage and the subsequent simulation model construction. This design effectively improves the automation level and spatial recognition accuracy of parametric modeling of plastic molds, and significantly enhances the simulation model's ability to reproduce the geometric features of the actual mold. Attached Figure Description

[0008] Figure 1 This is a flowchart illustrating the steps of a parametric simulation model design method suitable for plastic molds. Figure 2 for Figure 1 A detailed flowchart illustrating the implementation steps of step S2. Figure 3 This is an execution flowchart of a parametric simulation model design system for plastic molds, as described in this application. Figure 4This is a flowchart illustrating the parametric design process of a parametric simulation model design method applicable to plastic molds, as described in this application. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0009] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0010] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0011] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0012] To achieve the above objectives, please refer to Figures 1 to 4 A parametric simulation model design method suitable for plastic molds, the method comprising the following steps: Step S1: Set up a geometric parameter input module with an input port on the mold design device, wherein the geometric parameter input module is used to receive the basic structural parameters of the mold, the parting surface parameters and the gating system parameters in sequence; In one embodiment, a geometric parameter input module with an input port is pre-configured on the mold design device. This geometric parameter input module includes a graphical input interface, a parametric data interface, and a storage unit. The input port can be a keyboard input port, a touch input port, or an external design software interface port, used to receive data through both manual input and external model import methods.

[0013] During implementation, designers first input the basic structural parameters of the mold sequentially through the geometric parameter input module, including the number of cavities, mold base specifications, cavity spacing, ejection mechanism dimensions, and cooling channel layout. After receiving these parameters, the system automatically establishes a preliminary three-dimensional geometric framework model, providing a foundation for subsequent parameter matching between the parting surface and the gating system.

[0014] Subsequently, designers input parting surface parameters, including parting surface position, parting direction, parting curvature, draft angle, and demolding angle. The geometric parameter input module performs real-time constraint verification of the parting surface geometry during the input process to ensure no logical conflicts exist between input parameters. For example, if the parting direction is inconsistent with the main direction of the product's shape, a prompt will be issued on the input interface, along with automatic adjustment suggestions.

[0015] Furthermore, designers input gating system parameters, including the diameter of the main runner, the cross-sectional shape of the branch runners, the number of gates, and the gate location. When the geometry parameter input module receives these parameters, it automatically calls the system's internal mold runner parameter library to verify the feasibility of the input parameters and automatically corrects some initial input values ​​based on material characteristics (such as plastic type and flowability grade), so that the generated gating system parameters match the overall mold structure.

[0016] Once all geometric parameters have been input, the geometric parameter input module packages the various parameter data into a structured input file and stores it in the local database of the mold design device for use in subsequent model building and simulation analysis. This module enables standardized and structured input of geometric information in the early stages of mold design, providing a complete data source and logical foundation for subsequent automated parametric modeling.

[0017] Step S2: Convert the input geometric parameters into corresponding electrical signal groups; generate parameter mapping signals by analyzing the amplitude ratio of the analog signals in the electrical signal groups; In one embodiment, after receiving the parameter data transmitted by the geometric parameter input module, the mold design device first processes the various geometric parameters into signals. Specifically, the mold design device is equipped with a parameter electrical signal conversion unit, which includes an analog signal acquisition module, a signal amplitude modulation module, and a digital encoding module.

[0018] The parameter electrical signal conversion unit uses an internal digital-to-analog converter (DAC) component to convert the input geometric parameters (including mold cavity dimensions, parting surface angles, gate position coordinates, etc.) into corresponding voltage, current, or frequency signals, forming a set of electrical signals corresponding to the parameters. Different types of parameters correspond to different electrical signal channels; for example, dimensional parameters are represented by voltage amplitude, angular parameters by frequency variation, and position parameters by current amplitude ratio.

[0019] After signal conversion, the mold design device activates the signal analysis module to perform amplitude ratio analysis on the electrical signal group. This signal analysis module includes an analog signal comparison circuit and an amplitude detection circuit, used to detect the relative amplitude, phase, and waveform differences between the various analog signals. By comparing the amplitude ratios of signals corresponding to different geometric parameters, the numerical relationships and mutual constraints between parameters can be identified. For example, when the amplitude ratio between the mold cavity depth and the parting angle exceeds a preset threshold, this parameter combination is marked as a nonlinear correlation group and proceeds to the subsequent mapping adjustment stage.

[0020] After completing the amplitude scaling analysis, a parameter mapping signal is generated based on the detection results. This parameter mapping signal characterizes the correspondence between the input geometric parameters in the electrical signal space, forming an electrical signal mapping template for subsequent model mapping and dynamic correction. This template not only preserves the scaling relationships between the original parameters but also includes the phase delay information and amplitude response coefficients of each signal channel.

[0021] In this embodiment, to ensure the stability of the parameter mapping signal, noise filtering and normalization are performed on the generated mapping signal. Specifically, this includes: using a low-pass filter to filter out high-frequency noise signals; and then using an amplitude normalization algorithm to map signals of different magnitudes to a unified level range to ensure the comparability and linear consistency of the parameter signals in subsequent analysis stages.

[0022] Step S3: Obtain the physical response signal of the mold based on the voltage change of the parameter mapping signal, and convert the physical response signal of the mold into a visual voltage curve; store the parameter combination of the parameter mapping signal by the stable range and change rate of the visual voltage curve to obtain the stored parameter combination result; In one embodiment, after obtaining the parameter mapping signal generated in step S2, the mold design device first monitors the voltage change of the parameter mapping signal in real time through the built-in voltage response detection module to obtain the physical response signal of the mold.

[0023] The voltage response detection module includes a high-precision voltage sampling unit, a time synchronization unit, and a data buffer unit. The high-precision voltage sampling unit records the instantaneous voltage changes of each parameter-mapped signal with a millisecond-level sampling period; the time synchronization unit ensures the consistency of data from each voltage channel on the time axis, thereby avoiding signal drift caused by multi-parameter coupling; and the data buffer unit temporarily stores the continuously sampled voltage sequence for subsequent processing. Through this process, the response characteristics of the parameter-mapped signal under different parameter inputs can be accurately captured, and a sequence of physical response signals for the mold can be generated.

[0024] After acquiring the physical response signal of the mold, the voltage visualization processing module is invoked to convert the physical response signal into a visualized voltage curve. This module uses a multi-channel signal plotting algorithm to display the voltage response corresponding to different geometric parameters as independent curves or superimposed curves on the same coordinate plane, where the horizontal axis represents time or parameter sequence, and the vertical axis represents voltage amplitude. To enhance visual recognition, different parameter curves are marked with different colors during the plotting process, and the peak value, voltage inflection point, and the start and end points of the stable interval are automatically labeled.

[0025] The generated visualized voltage curve automatically detects its stable range and rate of change to reflect the stability and dynamic response characteristics of the parameter-mapped signal. Specifically, the rate of change of the voltage curve within a specified time period is calculated based on a sliding window algorithm. When the rate of change is less than a preset threshold, this time period is defined as the voltage stable range; when the rate of change continues to rise or fall, it is identified as the voltage response fluctuation range. By jointly analyzing the stable range and the fluctuation range, the response characteristic pattern of the parameter combination can be identified.

[0026] Subsequently, the mold design device utilizes the stable range information of the visualized voltage curve to store the parameter mapping signals in parameter combinations. This storage process is executed by the parameter state storage module, which has a built-in signal discrimination logic unit and parameter index unit. The discrimination logic unit classifies each parameter mapping signal into two categories: "stable and valid" or "requires correction," based on the stable duration, rate of change, and fluctuation amplitude of the voltage curve. The parameter index unit then writes the parameter combinations determined to be stable and valid into the parameter database in the form of an index, generating corresponding storage tags.

[0027] In a further embodiment, after storing the parameter combinations, a consistency check is performed on the stored parameter combination results. This check is achieved by comparing the overlap rate and peak deviation of the stable intervals of the newly generated voltage curve and the historical parameter combination curves. If the overlap rate exceeds a preset threshold and the peak deviation is below a set range, the current parameter combination is confirmed as a repeatable and valid combination and marked as a high-confidence parameter set. Through the above implementation, the voltage change pattern of the parameter mapping signal can be intuitively correlated with the physical response characteristics of the mold, and then the stable response relationship between parameters can be identified through the visualized voltage curve, achieving high-precision screening and automated storage of parameter combinations.

[0028] Step S4: Output the stored parameter combination results to the mold design system to form a parametric simulation model of the plastic mold.

[0029] In one embodiment, after storing the parameter combination results described in step S3, the mold design device enters the parameter output and model construction stage. First, it calls the parameter mapping management module to output the stored parameter combination results to the mold design system in structured data format. This module has a preset parameter output interface to establish a data channel between the mold design device and the mold design system, enabling the accurate transmission of verified geometric parameters, parting surface parameters, and gating system parameters.

[0030] During data output, the parameter combination results are formatted. Specifically, according to the data receiving protocol of the mold design system, the parameter combination results are converted into the corresponding feature vector file format, including main parameter fields (such as mold cavity dimensions, parting surface angle, and runner diameter), associated parameter fields (such as shrinkage rate, cooling time, and gate location), and response parameter fields (such as stress distribution and voltage curve stability interval index). The formatted data is transmitted to the mold design system via a local bus or network interface, and is automatically identified and classified by the parameter parsing module at the receiving end.

[0031] After receiving the parameter combination results, the mold design system writes them into the simulation database through the parameter parsing module, forming a parameterized input set. This input set drives the 3D simulation engine to automatically model the mold structure. The modeling process includes: generating the basic geometric framework of the mold based on the master parameters; automatically dividing the upper and lower mold cavities and parting line positions according to the parting surface parameters; and laying out the gate, runner, and venting system in conjunction with the gating system parameters. This method enables the automatic construction of the mold geometry, reducing the need for repeated editing of individual features in traditional CAD modeling.

[0032] After generating the geometric framework, the mold design system further calls the parameter response analysis module to perform reverse verification of the input response parameter fields. Specifically, finite element analysis is performed on the generated mold geometric model using computer simulation to verify whether its stress distribution and voltage response stability range are consistent with the parameter combination results. If the simulation results match the stored physical response characteristics within the allowable error range, it is confirmed that the parameter combination can be used to form a parametric simulation model for plastic molds.

[0033] In a further embodiment, after generating the parametric simulation model of the plastic mold, the feature data of the model is output to a visualization display terminal to generate a corresponding three-dimensional dynamic simulation interface. Designers can view the visualized distribution of the internal flow channels, cooling channels, and parting surfaces of the mold in the interface, and can adjust individual parameters through interactive operations to observe the changes in the model's response in real time.

[0034] In another embodiment, reference can be made to Figure 4Based on the parameter combination storage results obtained in the "physical response signal analysis and parameter combination storage" stage, the multi-dimensional parameter combinations (such as geometric input parameter groups, parting surface parameter groups, and runner system parameter groups) corresponding to the visualized pressure-stress curve are output to the mold design system. The mold design system then executes a parametric simulation model generation process in a three-dimensional environment based on the input parameter combination results, constructing a parametric simulation model for subsequent analysis. Specifically, the mold design system calls the parameter combination data in the storage module, comprehensively calculates the geometric parameters, electrical signal response data, and physical mapping relationships, thereby generating the corresponding parametric simulation model structure, including: a geometric constraint module: automatically generating a 3D simulation structure based on the basic structural parameters of the mold (mold size, cavity depth, etc.); a parting surface design module: generating matching parting lines based on the parting surface position and quantity parameters; a runner system module: simulating the plastic flow path based on the runner diameter and distribution parameters; and a parameter mapping module: mapping the physical response to model deformation based on the fitted curve of voltage and current signal changes.

[0035] As an example of the present invention, reference is made to Figure 2 As shown, in this example, step S2 includes: Step S21: Based on the geometric dependence and runner connection relationship between the basic structural parameters of the mold, the parting surface parameters, and the gating system parameters, confirm the functional coupling characteristics between each parameter; Step S22: Based on the functional coupling characteristics, determine the parameter action nodes of the mold in the forming state, and convert the parameter action nodes into corresponding electrical signal groups, wherein the electrical signal groups include several analog signals; Step S23: Determine the amplitude mapping relationship that reflects the degree of coupling between each parameter based on the amplitude ratio of different analog signals in the electrical signal group; Step S24: Generate parameter mapping signal based on amplitude mapping relationship.

[0036] In one embodiment, the geometric parameters of the mold cavity (including length, width, height, and wall thickness), the curvature parameters of the parting surface, and the cross-sectional area data of the main runner, branch runners, and gate of the gating system are sequentially input through the geometric parameter input module. A geometric analysis algorithm is automatically invoked to perform topological analysis on the above parameters to identify the spatial dependency relationship between the mold cavity and the parting surface, the interface transition relationship between the parting surface and the gating system, and to generate a set of topological node diagrams describing the geometric dependencies and runner connections. Through this node diagram, the functional coupling characteristics between different parameters are confirmed, such as the sensitivity of cavity volume changes to the gate cross-sectional area and the influence of parting surface offset on the runner flow path.

[0037] Based on the confirmed functional coupling characteristics, the system automatically locates the nodes where each parameter acts during mold forming simulation, including: cavity volume nodes, parting surface contact nodes, and gate section nodes. The coupling information of each parameter node is converted into an electrical signal group via a signal conversion module. This electrical signal group consists of analog signals, with the voltage amplitude corresponding to the geometric change in the parameter. For example, a high-amplitude signal is output when the cavity volume increases, and a low-amplitude signal is output when the parting surface gap decreases.

[0038] The amplitude ratios of each analog signal in the electrical signal group are analyzed, and the coupling strength between parameters is calculated based on the ratio differences. For example, if the ratio of the amplitude of the flow channel length signal to the amplitude of the cavity volume signal in the gating system remains within a stable range, it indicates that the coupling between the two is stable; if this ratio deviates significantly, it indicates that there is a nonlinear response in the structural coupling. Based on this, an amplitude mapping relationship table reflecting the degree of coupling between each parameter is determined, and the response range under each parameter combination is recorded. A parameter mapping signal is generated based on the amplitude mapping relationship table. The parameter mapping signal represents the coupling trend between different parameter combinations in digital form. This signal is then input to the parameter simulation module for dynamic linkage adjustment of each mold structural parameter in subsequent simulations.

[0039] It should be noted that in this embodiment, the generation and mapping of electrical signal groups are implemented in the form of virtual electrical signals in a parametric simulation software environment. It does not involve the voltage output of the real circuit, but expresses the physical coupling characteristics between parameters through numerical amplitude simulation, thereby ensuring that flexible adjustment of coupling relationship and visualization of response characteristics can be achieved under different mold structure design conditions.

[0040] Preferably, step S21 includes: Based on the geometric dependence and runner connection relationship between the basic structural parameters of the mold, the parting surface parameters, and the gating system parameters, the mutual constraint characteristics of each parameter are analyzed. During the analysis, the spatial dependency boundary between the mold forming cavity and the parting surface is identified, and the connection path between the main runner, branch runner and gate in the gating system is determined. Based on spatial dependency boundaries and connection paths, the overlap ratio of the areas affected by different parameters and the continuity of the conduction path are calculated. The functional coupling characteristics between the basic structural parameters, parting surface parameters, and gating system parameters of the mold are confirmed based on the overlap ratio and the continuity of the transmission path.

[0041] In one embodiment, a three-dimensional model database containing basic mold structural parameters, parting surface parameters, and gating system parameters is pre-established in the computer terminal of the mold design device. The geometric data for this design is imported through a parameter input interface. The basic mold structural parameters include the length, width, height, and wall thickness of the cavity; the parting surface parameters include the parting line curvature, parting surface inclination angle, and parting surface offset; and the gating system parameters include the main runner length, branch runner cross-sectional area, and gate location.

[0042] Based on the geometric analysis module, the spatial layout of the above three types of parameters is automatically analyzed to identify the geometric dependence between the mold forming cavity and the parting surface, as well as the flow channel connection relationship between the gating system and the forming cavity. Using a three-dimensional spatial search algorithm, the boundary point set of the contact area between the mold cavity and the parting surface is extracted in the model coordinate system, and the spatial dependency boundary between them is identified through the topological continuity of the boundary point set. This spatial dependency boundary is used to represent the constraint range of the parting surface on the closed area of ​​the cavity. Subsequently, in the gating system parameters, a flow channel path network is automatically established based on the start and end coordinates of the main runner, branch runners, and gate. The connection path of each flow channel segment is determined through a node matching algorithm, and the connectivity and directional consistency of the path are detected, thereby forming a complete flow path model of the gating system.

[0043] After obtaining the spatially dependent boundaries and the flow channel connection paths, the spatial overlap ratio of the areas affected by different mold parameters is further calculated. For example, the overlapping areas of the cavity and parting surface are voxelized, and the ratio of the number of overlapping voxels to the total number of voxels is calculated to obtain the overlap ratio. At the same time, path integral analysis is performed on the flow path from the main runner to the gate in the gating system to calculate the continuity index of its conduction path, which is used to reflect the energy conduction stability of the flow channel during the molding process.

[0044] Finally, based on the aforementioned overlap ratio and transmission path continuity index, and combined with structural constraints, the functional coupling characteristics among the basic structural parameters, parting surface parameters, and gating system parameters of the mold are determined. For example, when the overlap ratio is high and the transmission path continuity is good, the three are marked as strongly coupled; otherwise, they are marked as weakly coupled or adjustable coupled. This functional coupling characteristic data will serve as an important input for subsequent parameter mapping signal generation and simulation calculations.

[0045] It should be noted that, in another embodiment, the recognition threshold of the spatial dependency boundary and the detection accuracy of the flow channel connection path can be automatically adjusted according to different mold types (such as injection molds and die-casting molds) to improve the accuracy and versatility of parameter analysis under different mold structures.

[0046] Preferably, identifying the spatial dependency boundary between the mold forming cavity and the parting surface, and determining the connection path between the main runner, branch runners, and gate in the gating system includes: By analyzing the spatial overlap between the contour feature lines of the mold forming cavity and the projection lines of the parting surface, the relative contact area between the two is determined. Based on the morphological continuity of the relative contact area, the boundary contour line between the molding cavity and the parting surface is extracted to form a spatially dependent boundary. Based on the extension direction of the spatial dependency boundary, trace the starting point of the flow channel connected to it, and sequentially analyze the geometric connection order of the main flow channel, branch flow channel and gate. During the analysis process, the continuous connection path of the main runner, branch runner, and gate is determined based on the rate of change of the cross-sectional shape of the main runner and branch runners.

[0047] In one embodiment, the geometric analysis module of the mold design device first extracts the outer contour feature lines of the molding cavity and the projected contour lines of the parting surface from the imported 3D mold model. The contour feature lines of the molding cavity are obtained by fitting the outer surface mesh nodes of the model, while the projection lines of the parting surface are calculated by isometric projection of the parting area based on the normal direction of the parting surface. A 3D geometric matching algorithm is then used to analyze the overlap of the spatial positional relationship between the two sets of contour lines.

[0048] During the analysis, the minimum Euclidean distance and the proportion of overlapping segments between contour points are calculated. When the local overlap exceeds a preset threshold (e.g., 80%), the area is automatically identified as the relative contact area between the molding cavity and the parting surface. Through a continuity detection algorithm, the morphological continuity of the contact area is judged to exclude isolated non-contact points or irregular protrusions, ensuring that the identification results reflect the actual molding interface.

[0049] Subsequently, the boundary contour line between the molding cavity and the parting surface is extracted based on the identified relative contact areas. This extraction process is achieved by fitting isosurfaces at the boundary of the contact area to obtain a continuous closed curve, thereby forming a complete spatially dependent boundary. This boundary is used to define the boundary plane range when the mold opens and closes, providing a spatial reference for subsequent flow channel structure analysis.

[0050] After establishing spatially dependent boundaries, the system automatically tracks the starting points of the flow channels connected to these boundaries based on their extension directions. By analyzing the changes in the normal direction of geometric features near the boundaries, the system detects abrupt curvature changes at the flow channel inlets and uses these points as the starting points of the main flow channel. Geometric analysis is then performed sequentially along the fluid channel direction, and the hierarchical connection relationships of the flow channels are established based on the path topology of the main flow channel, branch channels, and gates in the model.

[0051] During this process, the rate of change of the cross-sectional shape of the main flow channel and the branch flow channels is calculated in real time. Specifically, the area and shape parameters of several sections taken along the flow direction are extracted, and the rate of change of area and the profile offset of adjacent sections are calculated. When the rate of change is continuous and there is no obvious abrupt change, the structure segment is determined to be a continuous connected path; if an abrupt change occurs, it is marked as the transition position of the flow channel node. Finally, a complete continuous flow path network is generated from the starting point of the main flow channel through the branch flow channels to the gate position.

[0052] Preferably, the method for identifying the molding cavity and the parting surface includes: Based on the input basic structural parameters of the mold, extract the closed contour of the mold cavity area and its corresponding spatial shape boundary; The mold opening and closing direction is determined based on the parting surface parameters, and a cross-sectional reference surface perpendicular to the opening and closing direction is generated; Using the cross-sectional reference plane as a reference, the contact projection area of ​​the spatial shape boundary is detected; When a continuous contact projection area is detected, the corresponding area is determined to be a parting contact zone based on the consistency of the contact projection area's shape. The spatial position of the parting contact zone is used to determine the boundary relationship between the molding cavity and the parting surface, so as to identify the molding cavity and the parting surface.

[0053] In one embodiment, the method for identifying the forming cavity and parting surface is implemented in the mold design device through a mold geometry analysis module. First, based on the input basic structural parameters of the mold, the geometric topology information of the three-dimensional mold model is automatically analyzed, and the closed contour structure corresponding to the cavity region is separated from the model. By detecting the boundary connectivity and normal consistency of the set of closed surfaces, continuous and closed surface groups are selected, and their outer envelope is calculated to generate the spatial outer boundary of the cavity region. This outer boundary is used to reflect the overall geometric contour of the forming space inside the mold.

[0054] Subsequently, the opening and closing direction of the mold is determined based on the input parting surface parameters. These parameters typically include the normal vector of the parting surface and spatial positioning parameters. Using this normal vector as a reference, a set of cross-sectional reference surfaces perpendicular to the opening and closing direction is automatically generated. These reference surfaces are arranged along the opening and closing direction at certain intervals for subsequent contact projection analysis.

[0055] Next, using the cross-sectional reference plane as a benchmark, spatial projection detection is performed on the outer boundary of the cavity region. Specifically, the projected profile of the outer boundary on each cross-sectional reference plane is calculated, and its spatial intersection with the projection line of the parting surface is analyzed. When a region is detected where the projected profile has continuous contact or overlap between adjacent cross-sections, this region is marked as a contact projection region.

[0056] After detecting continuous contact projection areas, the continuity of the projection areas is further determined based on the principle of morphological consistency. The morphological consistency determination includes a comprehensive analysis of the length ratio, width ratio, and normal change rate of the contact area. When the changes of these characteristic parameters are within a preset threshold range, the area is determined to have stable spatial contact characteristics, thereby identifying it as a "fractal contact zone".

[0057] Finally, based on the spatial location and morphological distribution of the parting contact zone, it is back-mapped to the corresponding geometric region in the 3D mold model to determine the boundary relationship between the molding cavity and the parting surface. Through this boundary relationship, the mold parting boundary can be accurately defined, completing the identification and spatial separation of the molding cavity and the parting surface.

[0058] Preferably, determining the mold opening and closing direction based on the parting surface parameters includes: The spatial orientation of the parting surface is determined based on the normal components of the parting surface parameters; The opening and closing direction vector of the mold is determined by the angle between the spatial orientation of the parting surface and the mold mounting reference surface, where the mold mounting reference surface is the main plane reference for positioning and clamping the mold on the injection molding equipment. A cross-sectional reference plane perpendicular to the opening and closing direction vector is established.

[0059] In one embodiment, the process of determining the mold opening and closing direction based on the parting surface parameters is automatically completed by the geometric analysis module in the mold design system. First, the system receives the parting surface parameters input by the user. These parameters include the geometric definition information of the parting surface in three-dimensional space, such as the plane equation, normal vector, and its spatial positioning data in the reference coordinate system. By analyzing the normal vector components of the parting surface, the spatial orientation of the parting surface in the overall mold coordinate system is determined. Specifically, the component values ​​of the parting surface normal vector on the X, Y, and Z axes are calculated to reflect the orientation characteristics of the parting surface relative to the mold body.

[0060] Subsequently, the spatial definition information of the mold mounting reference surface is obtained. The mold mounting reference surface is usually the plane in contact with the injection molding equipment mounting table, and it is the main reference for the mold's positioning, clamping, and movement on the equipment. By extracting the normal vector of the mounting reference surface and performing spatial angle analysis with the normal vector of the parting surface, the included angle value between the two is calculated.

[0061] Based on the calculated angle value, the opening and closing direction vector of the mold is determined. When the normal of the parting surface is parallel or approximately parallel to the normal of the mounting reference surface, the opening and closing direction is determined to be consistent with the normal of the parting surface; when there is an angle deviation between the two, the component of the normal of the parting surface in the vertical direction of the mounting reference surface is extracted by vector projection as the final opening and closing direction vector to ensure that the mold separates linearly in the correct direction during the mold opening and closing movements.

[0062] After determining the opening and closing direction vector, a cross-sectional reference plane perpendicular to this direction is further established using this vector as the normal. This cross-sectional reference plane is used for subsequent spatial geometric analysis and contact detection. Specifically, several parallel cross-sections are generated along the opening and closing direction at a set layer spacing. These are used to perform layer-by-layer scanning and projection identification of the mold forming cavity and parting surface area, thereby providing a geometric basis for subsequent identification of the parting contact zone and spatially dependent boundaries.

[0063] Preferably, when a continuous contact projection area is detected, determining the corresponding area as a parting contact zone based on the morphological consistency of the contact projection area includes: When consecutive contact projection areas are detected, the contour boundaries between adjacent contact projection areas are identified, and the extension direction of each contour boundary is calculated. When the extension direction of adjacent contact projection areas remains continuous and the distance between their boundaries is less than the preset contact distance threshold, it is confirmed that the area has continuous contact characteristics. Based on the continuous contact characteristics, the contour morphology and parting surface normal distribution between adjacent contact projection areas are compared, and the corresponding area is determined to be the parting contact zone based on the comparison results.

[0064] In one embodiment, when continuous contact projection areas are detected, the process of determining the corresponding area as a parting contact zone based on the morphological consistency of the contact projection areas is automatically executed by the mold geometry analysis module. First, several adjacent contact projection areas are obtained by clustering and identifying the projection data on the parting surface cross-section reference plane. Each contact projection area consists of a closed contour formed by the intersection of the mold cavity shape and the parting surface, and its boundary is composed of a discrete set of spatial points.

[0065] When spatial proximity is identified between two or more contact projection areas, geometric analysis of the boundaries of these areas begins. Specifically, the boundary contours of adjacent contact projection areas are extracted, and a line segment fitting algorithm is used to calculate the extension direction vector of each contour boundary. For irregular boundaries, the tangential direction of the curve is obtained using the local least squares method to ensure that the extension direction reflects the actual contact trend.

[0066] After obtaining the extension directions of adjacent contact projection areas, their direction difference and spatial spacing are calculated. When the extension directions of adjacent contact projection areas remain continuous (i.e., the direction difference between them is less than a set angle threshold) and the spacing between their boundaries is less than a preset contact distance threshold, the area is determined to meet the continuous contact characteristic. At this time, it is considered that the adjacent contact projection areas constitute a potential fractal continuity zone in space.

[0067] Furthermore, a morphological consistency analysis is performed on the projected regions exhibiting continuous contact characteristics. This analysis includes comparing the contour morphological parameters (such as curvature, concavity-to-convexity ratio, and projected area ratio) of adjacent projected regions with the distribution of the normal to the parting surface. When the contour curvature trends of adjacent contact regions are similar and the distribution direction of the normal to the parting surface is consistent within the corresponding regions, the contact characteristics of these regions are considered to belong to the same parting contact zone.

[0068] Preferably, comparing the contour morphology and parting surface normal distribution between adjacent contact projection areas based on continuous contact characteristics includes: When the overlap rate of the contour shape of adjacent contact projection areas is greater than 85% and the contour deviation is less than 0.2 mm, and the difference in the parting surface normal angle is less than 10°, it is determined to be an effective contact area with continuous shape. If the effective contact area extends in the opening and closing direction for a length of 5 mm to 50 mm and the normal distribution fluctuation is less than 15°, then the area is determined to be a stable parting contact zone.

[0069] In one embodiment, comparing the contour morphology and parting surface normal distribution between adjacent contact projection areas based on continuous contact characteristics includes: after detecting adjacent contact projection areas, firstly, performing morphological fitting on the contour curves of each area, and calculating the contour overlap rate and deviation value between the two; if the contour morphological overlap rate is greater than 85%, and the local deviation of the corresponding contour is less than 0.2 mm, then the two areas are considered to have a high degree of consistency in geometric morphology. Simultaneously, the parting surface normal vector of the corresponding area is extracted, and the angle difference between the normal vectors of adjacent areas is calculated; when the angle difference is less than 10°, the area is determined to be a valid contact area with continuous morphology.

[0070] Furthermore, to verify the stability of the contact features, the spatial extension characteristics of the effective contact area along the mold opening and closing direction were analyzed. When the extension length along the opening and closing direction is within the range of 5 mm to 50 mm, and the fluctuation amplitude of the normal distribution in this area is less than 15°, it is determined that the area has a stable and continuous contact state, thus identifying it as a stable parting contact zone.

[0071] Preferably, identifying the contour boundaries between adjacent contact projection areas and calculating the extension direction of each contour boundary includes: Adjacency analysis is performed on the contact projection areas mapped onto the mold surface to determine the intersection lines of adjacent contact projection areas; Based on the spatial continuity characteristics of the intersection line, the corresponding regional boundary curve is extracted, and the local tangent direction is established with the endpoint coordinates of the regional boundary curve as a reference. Based on the differences in geometric orientation of the boundary curves of adjacent regions and the local tangent direction, calculate the extension direction of each contour boundary.

[0072] In one embodiment, identifying the contour boundaries between adjacent contact projection areas and calculating the extension direction of each contour boundary includes: First, performing an adjacency analysis on the contact projection areas mapped from the mold surface. By calculating the spatial distance and boundary overlap rate between adjacent areas, regions that are in contact or close to each other are identified. For these regions, a set of geometric intersection feature points at their intersection locations is extracted, and the corresponding intersection line is fitted according to the spatial distribution law of the feature point set to represent the initial connection relationship between adjacent contact projection areas.

[0073] Secondly, based on the spatial continuity characteristics of the intersection lines, curvature smoothing is performed on each intersection line to extract its corresponding regional boundary curve. Using the coordinates of the endpoints of the extracted boundary curves as a reference, the local tangent direction vector is calculated to obtain the main geometric extension trend of the boundary curves within the local region.

[0074] Finally, based on the geometrical differences in the boundary curves of adjacent regions and their local tangent directions, the extension direction vectors of each contour boundary are calculated. When the angle between the extension directions of adjacent regions is less than a preset direction difference threshold (e.g., 15°), the boundaries of the two regions are considered to have directional continuity, providing an accurate boundary direction basis for subsequent contact feature continuity analysis and type-specific contact zone determination.

[0075] Of particular importance, step S4 includes the following steps: Step S41: Determine the overall geometric topology of the plastic mold based on the stored parameter combination results; Step S42: Based on the overall geometric topology, generate parameterized control logic that includes cavity volume parameters, gate size parameters, runner layout parameters, and parting surface constraints. Step S43: Construct a parameterized dataset containing editable parameter nodes and linkage constraints using parameterized control logic; Step S44: Output the parametric dataset to the mold design system to form a parametric simulation model of the plastic mold that can be automatically reconstructed and simulated under multiple conditions.

[0076] In one embodiment, the parameter combination results stored in the mold database are first invoked. These results include parameter descriptions of key components such as the cavity, core, parting surface, gating system, and cooling system. The mold database can be the mold runner parameter library mentioned earlier. By analyzing the spatial correlation and assembly hierarchy of each parameter, a topological mapping model of the mold's three-dimensional structure is constructed, clarifying the connection methods and relative positions between each structural unit. The geometric attachment relationships and assembly constraints of the mold are represented in a node-edge form, thereby determining the overall geometric topological relationship and providing a structural foundation for subsequent parametric logic generation.

[0077] Based on the established geometric topology model, key structural nodes in the mold are automatically identified, and their corresponding dimensions and constraint information are extracted. For example, cavity volume parameters are extracted to define the capacity of the molded part; gate size parameters and runner layout parameters are extracted to control the flow path and flow balance of the molten plastic; and parting surface constraints are extracted to limit the mold opening and closing method and sealing area. A parameterized control logic tree is established based on the logical dependencies between these parameters to achieve hierarchical calls and constraint transfer between parameters.

[0078] The parametric control logic is transformed into a data structured model by defining editable parameter nodes (such as volume, thickness, angle, and position coordinates) and establishing linkage constraints (such as proportional constraints, alignment constraints, and orientation constraints) for each node. When a parameter node is modified, the associated parameters can be automatically adjusted according to the linkage rules to maintain the design consistency and geometric validity of the mold structure.

[0079] The generated parametric dataset is imported into the mold 3D design environment to automatically generate an interactive parametric simulation model. This model allows designers to adjust parameters in real time under different process conditions (such as injection pressure, mold temperature, cooling time, etc.) and perform automatic reconstruction and simulation verification, thereby enabling rapid iteration of mold design and process optimization.

[0080] Of particular importance, step S43 includes: Extract the parameter logic dependency relationships of the parameterized control logic to obtain parameter logic mapping data; Based on the parameter logic mapping data, the attribute types and adjustable ranges of the preset editable parameter nodes are classified and defined to obtain node attribute definition data; By defining node attribute data, constraint modeling is performed on the corresponding editable parameter nodes to obtain linkage constraint rule data; The editable parameter nodes are dynamically configured using the linkage constraint rule data to obtain a parameterized dataset.

[0081] In one embodiment, the parameterized control logic generated in step S42 is subjected to structural analysis to extract the logical dependencies between various mold design parameters, thereby obtaining parameter logic mapping data. This process identifies the hierarchical structure and linkage triggering rules among parameters such as cavity volume parameters, gate size parameters, runner layout parameters, and parting surface constraints to form a complete set of logic mapping information, which describes the action paths and mutual constraints between each parameter.

[0082] Based on this, and according to the parameter logic mapping data, the preset editable parameter nodes are classified and their ranges are limited. Specifically, the attribute types of different parameter nodes are identified, including size, geometry, and position parameters, and based on their logical dependency characteristics, corresponding adjustable ranges, value precision, and physical units are set to generate node attribute definition data. This definition ensures that each parameter node has clear boundary conditions and control precision in subsequent simulation modeling, thereby avoiding unreasonable coupling or conflicts between parameters.

[0083] Subsequently, a linkage constraint model is established based on the node attribute definition data. This model constrains the mutual response relationships between different parameter nodes, forming linkage constraint rule data. For example, when the cavity volume parameters are adjusted, the gate size and runner length can be automatically corrected according to the flow channel design logic to maintain fluid flow balance. When the parting surface constraint conditions change, the corresponding mold opening and closing direction and assembly interface angle are automatically calculated to ensure the continuity and formability of the structural assembly. Through this method, changes between parameter nodes can achieve logical self-consistency, dynamic response, and coupling correction.

[0084] Finally, the generated linkage constraint rule data is loaded into the parameter node management module, and all editable parameter nodes are dynamically configured to generate a parameterized dataset. This parameterized dataset supports real-time updates and synchronous linkage. When the designer adjusts any node parameter, the system automatically calculates and updates the relevant parameters according to the constraint rules, ensuring the geometric consistency and functional stability of the overall mold model. Through the above process, the parameterized simulation model of the plastic mold can achieve automatic reconstruction and multi-condition linkage simulation, significantly improving design efficiency and the intelligence level of the model.

[0085] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0086] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A parametric simulation model design method suitable for plastic molds, characterized in that, Includes the following steps: Step S1: Set up a geometric parameter input module with an input port on the mold design device, wherein the geometric parameter input module is used to receive the basic structural parameters of the mold, the parting surface parameters and the gating system parameters in sequence; Step S2: Convert the input geometric parameters into the corresponding electrical signal set; A parameter mapping signal is generated by analyzing the amplitude ratio of the analog signal in the electrical signal group; Step S3: Obtain the physical response signal of the mold based on the voltage change of the parameter mapping signal, and convert the physical response signal of the mold into a visual voltage curve; store the parameter combination of the parameter mapping signal by the stable range and change rate of the visual voltage curve to obtain the stored parameter combination result; Step S4: Output the stored parameter combination results to the mold design system to form a parametric simulation model of the plastic mold.

2. The parametric simulation model design method for plastic molds according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Based on the geometric dependence and runner connection relationship between the basic structural parameters of the mold, the parting surface parameters, and the gating system parameters, confirm the functional coupling characteristics between each parameter; Step S22: Based on the functional coupling characteristics, determine the parameter action nodes of the mold in the forming state, and convert the parameter action nodes into corresponding electrical signal groups, wherein the electrical signal groups include several analog signals; Step S23: Determine the amplitude mapping relationship that reflects the degree of coupling between each parameter based on the amplitude ratio of different analog signals in the electrical signal group; Step S24: Generate parameter mapping signal based on amplitude mapping relationship.

3. The parametric simulation model design method for plastic molds according to claim 2, characterized in that, Step S21 includes: Based on the geometric dependence and runner connection relationship between the basic structural parameters of the mold, the parting surface parameters, and the gating system parameters, the mutual constraint characteristics of each parameter are analyzed. During the analysis, the spatial dependency boundary between the mold forming cavity and the parting surface is identified, and the connection path between the main runner, branch runner and gate in the gating system is determined. Based on spatial dependency boundaries and connection paths, the overlap ratio of the areas affected by different parameters and the continuity of the conduction path are calculated. The functional coupling characteristics between the basic structural parameters, parting surface parameters, and gating system parameters of the mold are confirmed based on the overlap ratio and the continuity of the transmission path.

4. The parametric simulation model design method for plastic molds according to claim 3, characterized in that, Identifying the spatial dependency boundary between the mold forming cavity and the parting surface, and determining the connection paths between the main runner, branch runners, and gates in the gating system includes: By analyzing the spatial overlap between the contour feature lines of the mold forming cavity and the projection lines of the parting surface, the relative contact area between the two is determined. Based on the morphological continuity of the relative contact area, the boundary contour line between the molding cavity and the parting surface is extracted to form a spatially dependent boundary. Based on the extension direction of the spatial dependency boundary, trace the starting point of the flow channel connected to it, and sequentially analyze the geometric connection order of the main flow channel, branch flow channel and gate. During the analysis process, the continuous connection path of the main runner, branch runner, and gate is determined based on the rate of change of the cross-sectional shape of the main runner and branch runners.

5. The parametric simulation model design method for plastic molds according to claim 4, characterized in that, Methods for identifying the molding cavity and parting surface include: Based on the input basic structural parameters of the mold, extract the closed contour of the mold cavity area and its corresponding spatial shape boundary; The mold opening and closing direction is determined based on the parting surface parameters, and a cross-sectional reference surface perpendicular to the opening and closing direction is generated; Using the cross-sectional reference plane as a reference, the contact projection area of ​​the spatial shape boundary is detected; When a continuous contact projection area is detected, the corresponding area is determined to be a parting contact zone based on the consistency of the contact projection area's shape. The spatial position of the parting contact zone is used to determine the boundary relationship between the molding cavity and the parting surface, so as to identify the molding cavity and the parting surface.

6. The parametric simulation model design method for plastic molds according to claim 5, characterized in that, Determining the mold opening and closing direction based on the parting surface parameters includes: The spatial orientation of the parting surface is determined based on the normal components of the parting surface parameters; The opening and closing direction vector of the mold is determined by the angle between the spatial orientation of the parting surface and the mold mounting reference surface, where the mold mounting reference surface is the main plane reference for positioning and clamping the mold on the injection molding equipment. A cross-sectional reference plane perpendicular to the opening and closing direction vector is established.

7. The parametric simulation model design method for plastic molds according to claim 5, characterized in that, When a continuous contact projection area is detected, the corresponding area is determined to be a parting contact zone based on the consistency of the contact projection area's shape, including: When consecutive contact projection areas are detected, the contour boundaries between adjacent contact projection areas are identified, and the extension direction of each contour boundary is calculated. When the extension direction of adjacent contact projection areas remains continuous and the distance between their boundaries is less than the preset contact distance threshold, it is confirmed that the area has continuous contact characteristics. Based on the continuous contact characteristics, the contour morphology and parting surface normal distribution between adjacent contact projection areas are compared, and the corresponding area is determined to be the parting contact zone based on the comparison results.

8. The parametric simulation model design method for plastic molds according to claim 7, characterized in that, Based on continuous contact characteristics, the comparison of the contour morphology and parting surface normal distribution between adjacent contact projection areas includes: When the overlap rate of the contour shape of adjacent contact projection areas is greater than 85% and the contour deviation is less than 0.2 mm, and the difference in the parting surface normal angle is less than 10°, it is determined to be an effective contact area with continuous shape. If the effective contact area extends in the opening and closing direction for a length of 5 mm to 50 mm and the normal distribution fluctuation is less than 15°, then the area is determined to be a stable parting contact zone.

9. The parametric simulation model design method for plastic molds according to claim 7, characterized in that, Identifying the contour boundaries between adjacent contact projection areas and calculating the extension direction of each contour boundary includes: Adjacency analysis is performed on the contact projection areas mapped onto the mold surface to determine the intersection lines of adjacent contact projection areas; Based on the spatial continuity characteristics of the intersection line, the corresponding regional boundary curve is extracted, and the local tangent direction is established with the endpoint coordinates of the regional boundary curve as a reference. Based on the differences in geometric orientation of the boundary curves of adjacent regions and the local tangent direction, calculate the extension direction of each contour boundary.

10. A parametric simulation model design system suitable for plastic molds, characterized in that, For executing the parametric simulation model design method for plastic molds as described in claim 1, the parametric simulation model design system for plastic molds includes: The parameter input module is used to set up a geometric parameter input module with an input port on the mold design device. The geometric parameter input module is used to receive the basic structural parameters of the mold, the parting surface parameters, and the gating system parameters in sequence. The signal conversion module is used to convert the input geometric parameters into corresponding electrical signal groups; and to generate parameter mapping signals by analyzing the amplitude ratio of the analog signals in the electrical signal groups. The parameter combination module is used to obtain the physical response signal of the mold based on the voltage change of the parameter mapping signal, and convert the physical response signal of the mold into a visual voltage curve; the parameter mapping signal is combined and stored by means of the stable range and change rate of the visual voltage curve to obtain the stored parameter combination result; The design output module is used to output the stored parameter combination results to the mold design system to form a parametric simulation model of the plastic mold.

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