Temperature control optimization method and system for injection mold

Abstract

The application relates to the technical field of injection molds, and discloses a temperature control optimization method and system for an injection mold, the method comprising the following steps: obtaining a target workpiece drawing and importing a three-dimensional modeling software to create a target workpiece model and generate a core model and a cavity model, and identifying and marking the area function types of each region on the surface of the target workpiece model; based on the area function type distribution of the surface of the target workpiece model, setting a demolding assembly in the region of the core model corresponding to a non-key region, setting a pouring assembly and an exhaust assembly in the region of the cavity model corresponding to the non-key region; setting a plurality of detection base points on the surface of the target workpiece model in an array, obtaining the minimum thickness values of the detection base points, generating a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of the detection base points, and determining the cooling flow channel distribution schemes of the core model and the cavity model based on the cooling demand distribution map to generate an injection mold model; and the application has the effect of optimizing the temperature control of the injection mold.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of injection molds, in particular to a temperature control optimization method and system for an injection mold. BACKGROUND

[0002] Injection molding technology has the advantages of high processing efficiency and low cost and is widely used in the production of plastic parts. The mold for injection molding bears the functions of shaping the product shape, controlling the product precision and surface quality, and adjusting the temperature of the injection molded part at different stages. In the injection molding process, the temperature regulation function of the injection mold is crucial to ensure the quality of the injection molded part. Currently, the common injection mold usually controls the temperature of the injection mold by delivering liquid medium to the fixed cooling runner, which is difficult to adapt to the temperature distribution requirements of complex cavities. In the injection molding process, phenomena such as warping, shrinkage marks, and residual stress often occur in the injection molded part. Therefore, the above-mentioned related technology has the problem of poor temperature control effect of the injection mold. SUMMARY

[0003] In order to optimize the temperature control effect of the injection mold, the application provides a temperature control optimization method and system for an injection mold.

[0004] The application aims to achieve the following technical solutions:

[0005] The temperature control optimization method for the injection mold comprises:

[0006] Obtain the target workpiece drawing and import it into a three-dimensional modeling software to create a target workpiece model and generate a core model and a cavity model, and identify and mark the region function types of each region on the surface of the target workpiece model;

[0007] Based on the distribution of the region function types on the surface of the target workpiece model, set a demolding assembly in the region of the core model corresponding to the non-key region, and set a pouring assembly and an exhaust assembly in the region of the cavity model corresponding to the non-key region;

[0008] Set a plurality of detection base points on the surface of the target workpiece model, obtain the minimum thickness values corresponding to each detection base point, and generate a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point;

[0009] Determine the cooling runner distribution scheme of the core model and the cavity model based on the cooling demand distribution map, respectively, to generate an injection mold model;

[0010] The region function types include appearance regions, fitting regions, and non-key regions; and the cooling runner distribution scheme records the pipe diameter and liquid flow direction of the cooling runner.

[0011] By adopting the technical scheme, the target workpiece drawing is acquired and imported into the three-dimensional modeling software, three-dimensional modeling is performed according to key information such as shape parameters, size parameters, material parameters and material types of the target workpiece, the target workpiece model is created, the core structure and the cavity structure of the injection mold are determined according to the target workpiece model, and then the core model and the cavity model are generated, the area function types of each region on the surface of the target workpiece model are identified and marked, so as to facilitate subsequent further mold design; according to the distribution of the area function types on the surface of the target workpiece model, the demolding assembly is arranged in the region of the core model corresponding to the non-key region, and the pouring assembly and the exhaust assembly are arranged in the region of the cavity model corresponding to the non-key region, so as to reduce the influence of the deployment positions of each functional assembly of the injection mold on the appearance and functionality of the target workpiece; since the greater the thickness of the injection part is, the greater the corresponding cooling requirement is, therefore, a plurality of detection base points are arranged on the surface of the target workpiece model, and the minimum thickness values measured at the detection base points are acquired to determine the cooling requirements of the corresponding local regions, the cooling requirement distribution diagram of the surface of the target workpiece model is generated according to the distribution characteristics of the minimum thickness values, so as to know the cooling requirement differences of each part of the target workpiece; the cooling runner distribution schemes of the core model and the cavity model are respectively determined according to the cooling requirement distribution diagram, and thus the injection mold model is generated, so as to optimize the distribution of the cooling runner in the injection mold design link, and then optimize the temperature control effect of the injection mold.

[0012] In a preferred example of the present application: the target workpiece drawing is acquired and imported into the three-dimensional modeling software to create the target workpiece model and generate the core model and the cavity model, and identify and mark the area function types of each region on the surface of the target workpiece model, which includes:

[0013] The target workpiece drawing is acquired and imported into the three-dimensional modeling software, and the target workpiece drawing is processed by an AI analysis plug-in to assist in generating the target workpiece model;

[0014] The target workpiece model is processed by an AI analysis plug-in to determine the composition of the demolding assembly, to select the parting line and optimize the parting surface based on the size tolerance requirements of the shape and size parameters, and to compensate for shrinkage based on material properties, so as to generate the core model and the cavity model;

[0015] The target workpiece drawing and the associated drawings are processed by an AI analysis plug-in to identify and mark the area function types of each region on the surface of the target workpiece model;

[0016] The target workpiece drawing records shape and size parameters, material types and material properties; the three-dimensional modeling software has an AI analysis plug-in built-in, which is based on a large language model and is optimized by targeted training of industrial scenes, and is used to analyze the meaning of drawing annotation information, view correlation and workpiece assembly relationship.

[0017] By adopting the above technical solution, the target workpiece drawings are obtained and imported into the 3D modeling software. The built-in AI analysis plugin processes the target workpiece drawings to assist in generating the target workpiece model in the 3D modeling software, thereby improving the efficiency and accuracy of 3D modeling. The AI ​​analysis plugin processes the target workpiece model to identify features such as undercuts, thin walls, and reinforcing ribs, and determines whether mechanisms such as sliders and angled ejectors are needed, thereby determining the composition of the demolding components. Based on the shape and size parameters, dimensional tolerance requirements are marked on the target workpiece model. The parting line is selected based on the target workpiece model, and the parting surface is further optimized. Shrinkage compensation is performed based on material properties, and the core structure and cavity structure are adjusted to the required dimensions before automatically generating the core model and cavity model. After processing the target workpiece drawings and related drawings, such as product assembly drawings containing the target workpiece, the AI ​​analysis plugin identifies and marks the regional functional types of each area on the surface of the target workpiece model to facilitate further mold design and reduce the impact of the deployment position of each functional component of the injection mold on the appearance and functionality of the target workpiece.

[0018] In a preferred embodiment of this application: the step of arraying several detection base points on the surface of the target workpiece model, obtaining the minimum thickness value corresponding to each detection base point, and generating a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point includes:

[0019] Several detection base points are arrayed on the surface of the target workpiece model so that the minimum thickness value corresponding to each detection base point can be measured by 3D modeling software.

[0020] Based on the location information of each detection base point, the corresponding pouring distance is obtained. Based on the minimum thickness value and pouring distance corresponding to each detection base point, the cooling demand assessment value is calculated.

[0021] Based on the value range of the cooling demand assessment values ​​of each detection base point, a cooling demand distribution map of the target workpiece model surface is generated.

[0022] The minimum thickness value refers to the minimum distance from the detection base point to the contact surface between the target workpiece model and another mold, wherein the injection mold mold includes a fixed mold and a moving mold; the pouring distance refers to the plastic flow distance between the detection base point and the nearest gate; the cooling demand distribution map includes several equal cooling demand zones set according to the value range of the cooling demand assessment value;

[0023] The formula for calculating the cooling demand assessment value is:

[0024]

[0025] in To detect the base point identifier, As the detection base point The cooling requirement assessment value, is a thickness evaluation coefficient, is a minimum thickness value of a detection base point , is a distance evaluation coefficient, is a pouring distance of a detection base point , is a to-be-determined additional term.

[0026] By adopting the technical scheme, since the cooling requirement of the injection molding target workpiece is affected by the plastic thickness, the thicker the plastic is, the greater the cooling requirement is, therefore, a plurality of detection base points are arranged on the surface of the target workpiece model, the minimum thickness value corresponding to each detection base point is measured by a three-dimensional modeling software, so as to determine the thickness condition at each detection base point, and facilitate subsequent evaluation of the influence of the plastic thickness on the cooling requirement; in addition, the temperature of the flowing plastic gradually decreases during the flowing process, therefore, based on the position information of each detection base point, the plastic flowing distance between the nearest pouring gates is measured to obtain each pouring distance, so as to subsequently evaluate the influence of the pouring distance on the cooling requirement of the detection base point, based on the minimum thickness value and the pouring distance, the cooling requirement evaluation value is calculated by a corresponding calculation formula, so as to determine the cooling requirement of different regions of the surface of the target workpiece; the cooling requirement evaluation value of each detection base point is divided into a value interval, so as to simplify the cooling requirement distribution of different regions, and generate a cooling requirement distribution map of the surface of the target workpiece model, so as to subsequently design the cooling runner of the injection mold.

[0027] In a preferred example of the present application, before the calculation of the cooling requirement evaluation value, the following steps are further included:

[0028] obtaining the weld mark position information based on the core model and the cavity model, and determining the weld area of the target workpiece model based on the weld mark position information;

[0029] determining the corresponding point property information based on the position information of each detection base point, and calculating the to-be-determined additional term of the cooling requirement evaluation value calculation formula based on the corresponding point property information of each detection base point;

[0030] the weld area completely envelopes the corresponding weld mark; the point property information includes a region function type, a weld property type and a contact surface type;

[0031] the calculation formula of the to-be-determined additional term is:

[0032]

[0033] wherein is a region function evaluation coefficient, is a region function type value of a detection base point , a corresponding value is determined according to a region function type of the detection base point an evaluation coefficient of the weld line, a detection base point an evaluation coefficient of the weld area of the detection base point a corresponding value is determined according to a weld property type of the detection base point an evaluation coefficient of the contact surface, a detection base point an evaluation coefficient of the contact surface of the detection base point a corresponding value is determined according to a contact surface type of the detection base point.

[0034] By adopting the above technical scheme, since the cooling requirements of the weld line region and other regions are different, based on the generated core mold and cavity mold, injection molding experiments or injection molding simulation analysis are performed to determine the weld line position of the injection molded part and obtain weld line position information, based on the influence range of the weld line on the strength of the injection molded part, the weld line position is expanded to determine the weld line region completely enveloping the weld line on the target workpiece model, which is convenient for subsequent targeted evaluation of the cooling requirements of the weld line region. Since the cooling requirement values of different regions on the surface of the injection molded part are different, for example, regions with high appearance requirements and high assembly precision requirements need to be cooled first, and the core side surface needs to be cooled first, therefore, based on the position information of each detection base point, corresponding point property information is determined, including region function type, weld property type and contact surface type, to further calculate the undetermined additional term in the evaluation value calculation formula, thereby improving the evaluation rationality of the cooling requirements of different regions on the surface of the target workpiece.

[0035] In a preferred example of the present application: the cooling requirement distribution map records a plurality of equal cooling requirement regions on the surface of the target workpiece model and equal cooling requirement lines for dividing the equal cooling requirement regions;

[0036] The cooling flow channel distribution scheme of the core mold and the cavity mold is determined based on the cooling requirement distribution map, comprising:

[0037] Based on the cooling requirement distribution map, corresponding equal cooling requirement lines are drawn on the core mold and the cavity mold, and based on the preset cooling flow channel deployment amount, a plurality of cooling flow channel distribution lines are uniformly distributed and set in the workpiece contact surface of the core mold and the cavity mold;

[0038] Based on the cooling flow channel distribution lines, a plurality of conformal flow channel deployment lines are set in the core mold and the cavity mold;

[0039] Based on the ratio of the product of the average cooling requirement evaluation value of each segment of the cooling flow channel distribution line and the area of the equal cooling requirement region in which the segment is located, the ratio of the flow channel surface area corresponding to each segment of the cooling flow channel is determined to generate the cooling flow channel distribution scheme;

[0040] The cooling flow channel distribution lines intersect each equal cooling demand line, and the flow direction is arranged from high to low along the cooling demand; the as-shape flow channel arrangement line refers to a reference line for determining the cooling flow channel arrangement position; the cooling flow channel distribution scheme records the position of a plurality of cooling flow channels, the cooling liquid flow direction, and the surface area of each section of the flow channel.

[0041] By adopting the technical scheme, the corresponding equal cooling demand lines are drawn on the workpiece contact surface of the core model and the cavity model according to the cooling demand distribution map, and a plurality of cooling flow channel distribution lines are further arranged uniformly in the workpiece contact surface of the core model and the cavity model according to the cooling flow channel arrangement amount, so as to assist in subsequent design of the cooling flow channel of the injection mold; a plurality of as-shape flow channel arrangement lines are arranged in the core model and the cavity model based on the cooling flow channel distribution lines, so that the distance of each section of the cooling flow channel to the target workpiece is equal, so as to improve the uniformity of the cooling effect of the cooling flow channel on the target workpiece; since the cooling demand of different regions of the target workpiece is different, and the cooling amount is also different, the ratio of the product of the average cooling demand evaluation value of each section in the cooling flow channel distribution line and the area of the equal cooling demand region to the ratio of the flow channel surface area of each section of the cooling flow channel is determined, a cooling flow channel distribution scheme is generated, and the matching degree of the cooling amount provided by the cooling flow channel and the required heat dissipation amount is improved.

[0042] The second application purpose of the application is achieved by adopting the following technical scheme:

[0043] The temperature control optimization system for the injection mold is applied to the temperature control optimization method for the injection mold described in any one of the above, and comprises:

[0044] The region function type marking module is used for obtaining a target workpiece drawing and importing a three-dimensional modeling software, creating a target workpiece model, and generating a core model and a cavity model, and identifying and marking the region function type of each region on the surface of the target workpiece model.

[0045] The function assembly design module is used for setting a demolding assembly in the core model region corresponding to the non-key region and setting a pouring assembly and an exhaust assembly in the cavity model region corresponding to the non-key region based on the region function type distribution on the surface of the target workpiece model.

[0046] The cooling demand distribution evaluation module is used for setting a plurality of detection base points on the surface of the target workpiece model, obtaining the minimum thickness value corresponding to each detection base point, and generating a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point.

[0047] The injection mold model generation module is used for determining the cooling flow channel distribution scheme of the core model and the cavity model based on the cooling demand distribution map, so as to generate an injection mold model.

[0048] The region function type includes an appearance region, a matching region, and a non-critical region; and the cooling runner distribution scheme records a pipe diameter and a liquid flow direction of the cooling runner.

[0049] In a preferred example of the present application, the region function type marking module includes:

[0050] A target workpiece model generation submodule is configured to acquire a target workpiece drawing and import it into a three-dimensional modeling software, and process the target workpiece drawing by using an AI analysis plug-in to assist in generating a target workpiece model.

[0051] A core cavity modeling submodule is configured to process the target workpiece model by using the AI analysis plug-in to determine a demolding component composition, select a parting line based on shape and size parameter marking size tolerance requirements, optimize a parting surface, and perform shrinkage compensation based on material properties to generate a core model and a cavity model.

[0052] A region function type identification submodule is configured to process the target workpiece drawing and associated drawings by using the AI analysis plug-in to identify and mark region function types of each region on a surface of the target workpiece model.

[0053] The target workpiece drawing records shape and size parameters, material types, and material properties; and the three-dimensional modeling software is built-in with an AI analysis plug-in that is based on a large language model and is trained and optimized for an industrial scene to analyze drawing annotation information meanings, view correlation relationships, and workpiece assembly relationships.

[0054] In a preferred example of the present application, the cooling demand distribution evaluation module includes:

[0055] A target workpiece thickness measurement submodule is configured to array a plurality of detection base points on a surface of the target workpiece model to measure minimum thickness values corresponding to the detection base points by using the three-dimensional modeling software.

[0056] A cooling demand evaluation value calculation submodule is configured to acquire corresponding pouring distances based on position information of the detection base points, and calculate cooling demand evaluation values based on the minimum thickness values corresponding to the detection base points and the pouring distances.

[0057] A cooling demand distribution map generation submodule is configured to generate a cooling demand distribution map of the surface of the target workpiece model based on value intervals of the cooling demand evaluation values of the detection base points.

[0058] The minimum thickness value refers to a minimum distance from the detection base point to a contact surface of the target workpiece model and another parting mold, wherein the parting mold of the injection mold includes a fixed mold and a movable mold; the pouring distance refers to a plastic flow distance between the detection base point and the nearest pouring gate; and the cooling demand distribution map includes a plurality of equal demand regions set according to the value intervals of the cooling demand evaluation values.

[0059] The calculation formula of the cooling requirement evaluation value is:

[0060]

[0061] wherein is the detection base point identification, is the detection base point of the cooling requirement evaluation value, is the thickness evaluation coefficient, is the minimum thickness value of the detection base point , is the distance evaluation coefficient, is the pouring distance of the detection base point , is the to-be-determined additional term.

[0062] The third application purpose of the present application is achieved by using the following technical solution:

[0063] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the temperature control optimization method for an injection mold when executing the computer program.

[0064] The fourth application purpose of the present application is achieved by using the following technical solution:

[0065] A computer readable storage medium stores a computer program, and the computer program implements the steps of the temperature control optimization method for an injection mold when executed by a processor.

[0066] In summary, the present application includes at least one of the following beneficial technical effects:

[0067] 1. Obtain the target workpiece drawing and import it into the three-dimensional modeling software to create a three-dimensional model according to the shape parameters, size parameters, material parameters and material types of the target workpiece, determine the core structure and cavity structure of the injection mold according to the target workpiece model, and then generate the core model and cavity model, identify and mark the area function type of each area on the surface of the target workpiece model, so as to further design the mold; according to the distribution of the area function type on the surface of the target workpiece model, set the demolding assembly in the corresponding core model area of the non-key area, and set the pouring assembly and exhaust assembly in the corresponding cavity model area, so as to reduce the influence of the deployment position of each functional component of the injection mold on the appearance and functionality of the target workpiece; since the greater the thickness of the injection part, the greater the corresponding cooling requirement, therefore, a plurality of detection base points are arranged on the surface of the target workpiece model, and the minimum thickness value measured at each detection base point is obtained to determine the cooling requirement of the corresponding local area, and a cooling requirement distribution map of the surface of the target workpiece model is generated according to the distribution characteristics of the minimum thickness value, so as to know the cooling requirement difference of each part of the target workpiece; according to the cooling requirement distribution map, the cooling channel distribution scheme of the core model and the cavity model is determined respectively, so as to generate an injection mold model, so as to optimize the distribution of the cooling channel in the injection mold design link, and then optimize the temperature control effect of the injection mold.

[0068] 2. Obtain the target workpiece drawing and import it into the three-dimensional modeling software, process the target workpiece drawing through the built-in AI analysis plug-in to assist in generating the target workpiece model in the three-dimensional modeling software, improve the three-dimensional modeling efficiency and accuracy; the target workpiece model is processed by the AI analysis plug-in to identify features such as undercut, thin wall and reinforcing rib, determine whether a slider, inclined ejector pin and other mechanisms are needed, and then determine the composition of the demolding assembly, mark the size tolerance requirements on the target workpiece model based on the shape and size parameters, assist in selecting the parting line according to the target workpiece model, and further optimize the parting surface, perform shrinkage compensation based on material properties, and automatically generate the core model and cavity model after adjusting the required size of the core structure and cavity structure; after the target workpiece drawing and associated drawings such as product assembly drawings containing the target workpiece are processed by the AI analysis plug-in, the area function type of each area on the surface of the target workpiece model is identified and marked, so as to further design the mold, and reduce the influence of the deployment position of each functional component of the injection mold on the appearance and functionality of the target workpiece.

[0069] 3. Since the cooling requirement of the target workpiece processed by injection molding is affected by the thickness of the plastic, the thicker the plastic, the greater the cooling requirement, therefore, a plurality of detection base points are arranged on the surface of the target workpiece model, the minimum thickness value corresponding to each detection base point is measured by a three-dimensional modeling software, so as to determine the thickness condition at each detection base point, and facilitate subsequent evaluation of the influence of plastic thickness on cooling requirement; in addition, the temperature of the flowing plastic will gradually decrease during the flowing process, therefore, based on the position information of each detection base point, the plastic flowing distance between the nearest sprue is measured to obtain the sprue distance, so as to evaluate the influence of the sprue distance on the cooling requirement at the detection base point, based on the minimum thickness value and the sprue distance, the cooling requirement evaluation value is calculated by a corresponding calculation formula, so as to determine the cooling requirement of different regions on the surface of the target workpiece; the cooling requirement evaluation value of each detection base point is divided into a value interval, so as to simplify the cooling requirement distribution of different regions, to generate a cooling requirement distribution map of the surface of the target workpiece model, so as to facilitate subsequent design of the injection mold cooling flow channel. BRIEF DESCRIPTION OF DRAWINGS

[0070] Fig. 1 is a flow chart of the temperature control optimization method for an injection mold in embodiment one of the present application.

[0071] Fig. 2 is a principle block diagram of the temperature control optimization system for an injection mold in embodiment two of the present application.

[0072] Fig. 3 is an equipment schematic diagram in embodiment three of the present application. DETAILED DESCRIPTION

[0073] The following will be described in detail in combination with the accompanying Figs. 1 to 3 The present application will be further described in detail.

[0074] Embodiment one

[0075] Referring to Fig. 1 , the present application discloses a temperature control optimization method for an injection mold, specifically comprising the following steps:

[0076] S10: Obtain the target workpiece drawing and import it into a three-dimensional modeling software, to create a target workpiece model and generate a core model and a cavity model, and identify and mark the region function type of each region on the surface of the target workpiece model.

[0077] Specifically, the target workpiece drawing is acquired and imported into the three-dimensional modeling software to create a target workpiece model according to key information such as shape parameters, size parameters, material parameters and material types of the target workpiece, to determine the core structure and cavity structure of the injection mold according to the target workpiece model, and to further generate a core model and a cavity model, and to identify and mark the area function types of each region on the surface of the target workpiece model for subsequent further mold design.

[0078] In step S10, the following steps are included:

[0079] S11: Acquire the target workpiece drawing and import it into the three-dimensional modeling software, and process the target workpiece drawing by an AI analysis plug-in to assist in generating the target workpiece model.

[0080] In this embodiment, the target workpiece drawing records shape and size parameters, material types and material properties; the three-dimensional modeling software has an AI analysis plug-in built-in for targeted training and optimization of industrial scenes based on large language models, which is used to analyze the meaning of drawing annotation information, view correlation and workpiece assembly relationship; preferably, the AI analysis plug-in can be a large language-based drawing analysis plug-in such as OpenAI's GPT-4V, LLaVA, etc., or an industrial software integrated AI, Siemens NX, Dassault CATIA or cloud collaboration tool PTC Onshape, etc.

[0081] Specifically, the target workpiece drawing is acquired and imported into the three-dimensional modeling software, and the target workpiece drawing is processed by the built-in AI analysis plug-in to automatically generate the target workpiece model in the three-dimensional modeling software, and the automatically generated target workpiece model can be checked and modified or adjusted by human if necessary, improving the efficiency and accuracy of assisted three-dimensional modeling.

[0082] S12: Process the target workpiece model by the AI analysis plug-in to determine the composition of the demolding assembly, mark the size tolerance requirements based on the shape and size parameters, select the parting line, optimize the parting surface, and compensate for shrinkage based on the material properties to generate the core model and the cavity model.

[0083] Specifically, the target workpiece model is processed by the AI analysis plug-in to identify features such as undercut, thin wall, reinforcing rib, etc., to determine whether mechanisms such as slide block and inclined ejector pin are needed, and to further determine the composition of the demolding assembly, mark the size tolerance requirements on the target workpiece model based on the shape and size parameters, select the parting line according to the target workpiece model, and further optimize the parting surface, wherein the setting and optimization of the parting line and the parting surface can refer to the rules of existing mold design assistance programs; compensate for shrinkage based on material properties, and automatically generate the core model and the cavity model after adjusting the required size of the core structure and the cavity structure.

[0084] S13: Perform AI analysis plug-in processing on the target workpiece drawing and the associated drawing to identify and mark the region function types of each region on the surface of the target workpiece model.

[0085] In this embodiment, the associated drawing includes a product assembly drawing related to the target workpiece; the region function types include an appearance region, a fitting region, and a non-critical region, the appearance region refers to a region with appearance requirements, the fitting region refers to a region with assembly or contact relationship with other workpieces, and the non-critical region refers to a region other than the appearance region and the fitting region.

[0086] Specifically, after AI analysis plug-in processing is performed on the target workpiece drawing and the associated drawing such as the product assembly drawing containing the target workpiece, the region function types of each region on the surface of the target workpiece model are identified and marked, so as to facilitate subsequent further mold design. When necessary, the marking of the region function types can be adjusted by manual verification to reduce the influence of the deployment position of each functional component of the injection mold on the appearance and functionality of the target workpiece.

[0087] S20: Based on the distribution of the region function types on the surface of the target workpiece model, set a demolding component in the core model region corresponding to the non-critical region, and set a pouring component and an exhaust component in the cavity model region corresponding to the non-critical region.

[0088] In this embodiment, the demolding component can be set as a combination of one or more of an ejection mechanism, a slider, and an inclined ejector, according to actual needs.

[0089] Specifically, according to the distribution of the region function types on the surface of the target workpiece model, a demolding component is set in the core model region corresponding to the non-critical region, and a pouring component and an exhaust component are set in the cavity model region corresponding to the non-critical region, so as to reduce the influence of the deployment position of each functional component of the injection mold on the appearance and functionality of the target workpiece.

[0090] S30: Array a plurality of detection base points on the surface of the target workpiece model, obtain the minimum thickness values corresponding to each detection base point, and generate a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point.

[0091] Specifically, since the greater the thickness of the injection molded part, the greater the corresponding cooling demand, a plurality of detection base points are arrayed on the surface of the target workpiece model, and the minimum thickness values measured at each detection base point are obtained to determine the cooling demand of the corresponding local region. According to the distribution characteristics of the minimum thickness values, a cooling demand distribution map of the surface of the target workpiece model is generated to obtain the cooling demand difference of each part of the target workpiece.

[0092] In step S30, the following steps are included:

[0093] S31: Set several detection base points on the surface of the target workpiece model to measure the minimum thickness value corresponding to each detection base point through 3D modeling software.

[0094] Specifically, since the cooling requirements of the injection-molded target workpiece are affected by the thickness of the plastic, the thicker the plastic, the greater the cooling requirement, several detection base points are arrayed on the surface of the target workpiece model. The minimum thickness value corresponding to each detection base point is measured by 3D modeling software in order to determine the thickness at each detection base point, which facilitates subsequent evaluation of the impact of plastic thickness on cooling requirements.

[0095] S32: Based on the location information of each detection base point, obtain the corresponding pouring distance, and calculate the cooling requirement assessment value based on the minimum thickness value and pouring distance corresponding to each detection base point.

[0096] In this embodiment, the minimum thickness value refers to the minimum distance from the detection base point to the contact surface between the target workpiece model and another mold, wherein the injection mold mold includes a fixed mold and a moving mold; the pouring distance refers to the plastic flow distance between the detection base point and the nearest pouring gate; the data in each calculation formula in this embodiment are all numerical values, and the dimensional data or dimensionless values ​​of each data can be selected for calculation according to actual needs.

[0097] The formula for calculating the cooling demand assessment value is:

[0098]

[0099] in To detect the base point identifier, As the detection base point The cooling requirement assessment value, For thickness evaluation coefficient, As the detection base point The minimum thickness value, This is the distance evaluation coefficient. As the detection base point The pouring distance, Additional items to be determined; the specific value of the additional items to be determined can be set to 0, or other items that may affect the cooling requirements of the target workpiece can be added; in this embodiment, each coefficient can be set and adjusted according to actual needs.

[0100] Specifically, in addition, the temperature of the flowing plastic will gradually decrease during the flow process. Therefore, based on the position information of each detection base point, the flow distance of the plastic between the nearest gate is measured to obtain the pouring distance, so as to evaluate the impact of the pouring distance on the cooling demand at the detection base point. Based on the minimum thickness value and the pouring distance, the cooling demand evaluation value is calculated by the corresponding calculation formula in order to determine the cooling demand of different areas on the surface of the target workpiece.

[0101] S33: Based on the value range of the cooling demand assessment value of each detection base point, generate a cooling demand distribution map of the target workpiece model surface.

[0102] In this embodiment, the cooling demand distribution map includes several equal cooling demand zones set according to the range of cooling demand assessment values, and each location within the lamp cooling demand zone can be considered to have the same cooling demand.

[0103] Specifically, the cooling demand assessment values ​​of each detection base point are divided into ranges to simplify the distribution of cooling demand in different areas, thereby generating a cooling demand distribution map of the target workpiece model surface, which will then be used for the design of the injection mold cooling channel.

[0104] Prior to step S32: calculating the cooling requirement assessment, the following steps are included:

[0105] S321: Obtain weld line location information based on the core model and cavity model, and determine the weld area of ​​the target workpiece model based on the weld line location information.

[0106] In this embodiment, the welding area completely encloses the corresponding weld line; the location of the weld line can be determined through experiments or computer program simulation of injection molding, depending on actual needs.

[0107] Specifically, since the cooling requirements of the weld line area differ from those of other areas, injection molding experiments or injection molding simulation analyses are conducted based on the generated core model and cavity model to determine the weld line location of the injection molded part and obtain weld line location information. Based on the influence range of the weld line on the strength of the injection molded part, the weld line location is expanded, and the welding area that completely encloses the weld line is determined on the target workpiece model, which facilitates the subsequent targeted evaluation of the cooling requirements of the welding area.

[0108] S322: Determine the corresponding point property information based on the location information of each detection base point, and calculate the pending additional items in the calculation formula of the cooling demand assessment value based on the point property information corresponding to each detection base point.

[0109] In this embodiment, the point property information includes area function type, welding property type and contact surface type. Welding property type includes welding area and non-welding area, and contact surface type includes fixed mold contact surface and moving mold contact surface.

[0110] The formula for calculating the undetermined additional items is:

[0111]

[0112] in This is the regional function assessment coefficient. As the detection base point a region function type assignment value of the detection base point a corresponding value determined according to a region function type of the detection base point, preferably, an appearance region corresponding value > a fitting region corresponding value > a non-key region corresponding value, a weld mark evaluation coefficient, a detection base point a weld region assignment value of the detection base point a corresponding value determined according to a weld property type of the detection base point, preferably, a weld region corresponding value > a non-weld region corresponding value, and the weld region can also be assigned according to the proximity to the weld mark according to actual needs. a contact surface evaluation coefficient, a detection base point a contact surface assignment value of the detection base point a corresponding value determined according to a contact surface type of the detection base point, preferably, a moving die contact surface corresponding value > a fixed die contact surface corresponding value.

[0113] Specifically, since the cooling demand values of different regions of the injection molded part surface are different, for example, regions with high appearance requirements and high assembly precision requirements need to be cooled first, and the core side surface needs to be cooled first, therefore, based on the position information of each detection base point, the corresponding point property information is determined, including region function type, weld property type and contact surface type, to further calculate the undetermined additional term in the evaluation value calculation formula, and thus the rationality of the evaluation of the cooling demand of different regions of the target workpiece surface is improved.

[0114] S40: Determine the cooling channel distribution scheme of the core model and the cavity model based on the cooling demand distribution map to generate an injection mold model.

[0115] In this embodiment, the region function type includes appearance region, fitting region and non-key region; and the cooling channel distribution scheme records the pipe diameter and liquid flow direction of the cooling channel.

[0116] Specifically, the cooling channel distribution scheme of the core model and the cavity model is determined based on the cooling demand distribution map, thereby generating an injection mold model, so as to optimize the distribution of the cooling channel in the injection mold design link, and further optimize the temperature control effect of the injection mold.

[0117] In step S40, the following steps are included:

[0118] S41: Draw corresponding isocooling demand lines on the core model and the cavity model based on the cooling demand distribution map, and set a plurality of cooling channel distribution lines in the workpiece contact surface of the core model and the cavity model based on the preset cooling channel deployment amount.

[0119] In the embodiment, the cooling demand distribution map records a plurality of equal cooling demand areas of the target workpiece model surface and equal cooling demand lines for dividing the equal cooling demand areas; the cooling flow channel distribution lines intersect the equal cooling demand lines, and the flow directions are arranged from high to low according to the cooling demand.

[0120] Specifically, the corresponding equal cooling demand lines are drawn on the workpiece contact surface of the core model and the cavity model according to the cooling demand distribution map, and a plurality of cooling flow channel distribution lines are uniformly arranged in the workpiece contact surface of the core model and the cavity model according to the cooling flow channel deployment amount, so as to assist subsequent design of the cooling flow channel of the injection mold.

[0121] S42: A plurality of conformal flow channel deployment lines are arranged in the core model and the cavity model based on the cooling flow channel distribution lines.

[0122] In the embodiment, the conformal flow channel deployment line refers to a reference line for determining the cooling flow channel deployment position.

[0123] Specifically, a plurality of conformal flow channel deployment lines are arranged in the core model and the cavity model based on the cooling flow channel distribution lines, so that the distances of the cooling flow channel segments to the target workpiece are equal, so as to improve the uniformity of the cooling effect of the cooling flow channel on the target workpiece.

[0124] S43: The ratio of the flow channel surface area of each segment of the cooling flow channel is determined based on the ratio of the product of the average cooling demand evaluation value of the equal cooling demand area where each segment of the cooling flow channel distribution line is located and the area of the equal cooling demand area, so as to generate a cooling flow channel distribution scheme.

[0125] In the embodiment, the cooling flow channel distribution scheme records the positions of a plurality of cooling flow channels, the flow directions of the cooling liquid, and the flow channel surface areas of each segment.

[0126] Specifically, since the cooling demands of different regions of the target workpiece are different, and the cooling amount is also different, the ratio of the flow channel surface area of each segment of the cooling flow channel is determined based on the ratio of the product of the average cooling demand evaluation value of the equal cooling demand area where each segment of the cooling flow channel distribution line is located and the area of the equal cooling demand area, so as to generate a cooling flow channel distribution scheme, and improve the matching degree of the cooling amount provided by the cooling flow channel and the required heat dissipation amount.

[0127] It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of the processes should be determined according to their functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0128] Embodiment two

[0129] A temperature control optimization system for an injection mold, which corresponds to the temperature control optimization method for an injection mold in the above embodiments.

[0130] As shown in Fig. 2 The temperature control optimization system for an injection mold includes a region function type marking module, a functional component design module, a cooling demand distribution evaluation module, and an injection mold model generation module. The detailed descriptions of each functional module are as follows:

[0131] The region function type marking module is used to obtain a target workpiece drawing and import it into a three-dimensional modeling software to create a target workpiece model and generate a core model and a cavity model, and identify and mark the region function types of each region on the surface of the target workpiece model.

[0132] The functional component design module is used to set a demolding component in the region of the core model corresponding to a non-critical region and set a pouring component and an exhaust component in the region of the cavity model corresponding to the non-critical region based on the distribution of the region function types on the surface of the target workpiece model.

[0133] The cooling demand distribution evaluation module is used to set a plurality of detection base points on the surface of the target workpiece model, obtain the minimum thickness values corresponding to each detection base point, and generate a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point.

[0134] The injection mold model generation module is used to determine the cooling runner distribution schemes of the core model and the cavity model based on the cooling demand distribution map to generate an injection mold model.

[0135] The region function type marking module further includes:

[0136] The target workpiece model generation submodule is used to obtain a target workpiece drawing and import it into a three-dimensional modeling software, and process the target workpiece drawing through an AI analysis plug-in to assist in generating a target workpiece model.

[0137] The core-cavity modeling submodule is used to process the target workpiece model through an AI analysis plug-in to determine the composition of a demolding component, select a parting line based on the size tolerance requirements of the shape and size parameters, optimize a parting surface, and perform shrinkage compensation based on the material properties to generate a core model and a cavity model.

[0138] The region function type identification submodule is used to process the target workpiece drawing and associated drawings through an AI analysis plug-in to identify and mark the region function types of each region on the surface of the target workpiece model.

[0139] The cooling demand distribution evaluation module further includes:

[0140] The target workpiece thickness measurement submodule is configured to arrange a plurality of detection base points on the surface of the target workpiece model to measure the minimum thickness values corresponding to the detection base points by using a three-dimensional modeling software;

[0141] The cooling demand evaluation value calculation submodule is configured to obtain the pouring distance corresponding to each detection base point based on the position information of the detection base point, and calculate the cooling demand evaluation value based on the minimum thickness value and the pouring distance corresponding to each detection base point;

[0142] The cooling demand distribution map generation submodule is configured to generate a cooling demand distribution map of the surface of the target workpiece model based on the value range of the cooling demand evaluation value of each detection base point.

[0143] The cooling demand evaluation value calculation submodule further comprises:

[0144] The fusion zone determination submodule is configured to obtain the location information of the fusion line based on the core model and the cavity model, and determine the fusion zone of the target workpiece model based on the location information of the fusion line.

[0145] The pending additional term calculation submodule is configured to determine the point position property information corresponding to each detection base point based on the position information of the detection base point, and calculate the pending additional term of the cooling demand evaluation value calculation formula based on the point position property information corresponding to each detection base point.

[0146] The injection mold model generation module further comprises:

[0147] The cooling flow channel distribution line setting submodule is configured to draw the corresponding equal cooling demand line on the core model and the cavity model based on the cooling demand distribution map, and set a plurality of cooling flow channel distribution lines in the workpiece contact surface of the core model and the cavity model based on the preset cooling flow channel deployment amount.

[0148] The conformal flow channel deployment line setting submodule is configured to set a plurality of conformal flow channel deployment lines in the core model and the cavity model based on the cooling flow channel distribution line.

[0149] The cooling flow channel distribution scheme generation submodule is configured to determine the ratio of the flow channel surface area corresponding to each segment of the cooling flow channel to the product of the average cooling demand evaluation value of the equal cooling demand area where each segment is located and the area of the equal cooling demand area, to generate a cooling flow channel distribution scheme.

[0150] The specific definitions of the temperature control optimization system for the injection mold can refer to the definitions of the temperature control optimization method for the injection mold, which will not be repeated here; each module in the above-mentioned temperature control optimization system for the injection mold can be realized by software, hardware and their combinations; the above-mentioned each module can be embedded in or independent of the processor in the computer device in hardware form, or be stored in the memory in the computer device in software form, so that the processor calls and executes the operations corresponding to the above-mentioned each module.

[0151] Embodiment three

[0152] A computer device, which can be a server, has an internal structure as shown in Fig. 3 The computer device includes a processor, a memory, a network interface and a database connected by a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as target workpiece drawings, three-dimensional modeling software, target workpiece models, core models, cavity models, regional function types, minimum thickness values, cooling demand distribution maps, cooling channel distribution schemes and injection mold models. The network interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement the temperature control optimization method for the injection mold.

[0153] In one embodiment, a computer device is provided, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the following steps when executing the computer program:

[0154] S10: Obtain target workpiece drawings and import them into three-dimensional modeling software to create a target workpiece model and generate a core model and a cavity model, and identify and mark the regional function types of each region on the surface of the target workpiece model;

[0155] S20: Based on the distribution of the regional function types on the surface of the target workpiece model, set a demolding assembly in the core model region corresponding to the non-key region, and set a pouring assembly and an exhaust assembly in the cavity model region corresponding to the non-key region;

[0156] S30: Set a plurality of detection base points on the surface of the target workpiece model, obtain the minimum thickness values corresponding to each detection base point, and generate a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point;

[0157] S40: determine the cooling flow channel distribution scheme of the core model and the cavity model respectively based on the cooling demand distribution map, to generate the injection mold model.

[0158] In one embodiment, a computer readable storage medium is provided, and a computer program is stored on the computer readable storage medium, and the computer program is executed by a processor to implement the following steps:

[0159] S10: obtain a target workpiece drawing and import a three-dimensional modeling software to create a target workpiece model and generate a core model and a cavity model, and identify and mark the area function types of each region on the surface of the target workpiece model;

[0160] S20: based on the distribution of the area function types on the surface of the target workpiece model, set a demolding assembly in the region of the core model corresponding to the non-critical region, and set a gating assembly and an exhaust assembly in the region of the cavity model corresponding to the non-critical region;

[0161] S30: set a plurality of detection base points on the surface of the target workpiece model, obtain the minimum thickness values corresponding to each detection base point, and generate a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point;

[0162] S40: determine the cooling flow channel distribution scheme of the core model and the cavity model respectively based on the cooling demand distribution map, to generate the injection mold model.

[0163] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM) and the like.

[0164] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above.

[0165] The above-described embodiments are only used to illustrate the technical solutions of the present application, but not limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand; it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for optimizing temperature control in injection molds, characterized in that, include: Obtain the target workpiece drawings and import them into 3D modeling software to create the target workpiece model and generate the core model and cavity model. Identify and mark the regional function types of each area on the surface of the target workpiece model. Based on the distribution of regional functional types on the surface of the target workpiece model, demolding components are set in the core model area corresponding to the non-critical area, and gating components and venting components are set in the cavity model area corresponding to the non-critical area. Several detection base points are arrayed on the surface of the target workpiece model. The minimum thickness value corresponding to each detection base point is obtained. Based on the distribution characteristics of each detection base point, a cooling demand distribution map of the surface of the target workpiece model is generated. Based on the cooling demand distribution map, the cooling channel distribution schemes for the core model and cavity model are determined to generate the injection mold model. The functional types of the areas include appearance areas, mating areas, and non-critical areas; the cooling channel distribution scheme records the pipe diameter and liquid flow direction of the cooling channels; The step of arraying several detection base points on the surface of the target workpiece model, obtaining the minimum thickness value corresponding to each detection base point, and generating a cooling demand distribution map of the target workpiece model surface based on the distribution characteristics of each detection base point includes: Several detection base points are arrayed on the surface of the target workpiece model so that the minimum thickness value corresponding to each detection base point can be measured by 3D modeling software. Based on the location information of each detection base point, the corresponding pouring distance is obtained. Based on the minimum thickness value and pouring distance corresponding to each detection base point, the cooling demand assessment value is calculated. Based on the value range of the cooling demand assessment values ​​of each detection base point, a cooling demand distribution map of the target workpiece model surface is generated. The minimum thickness value refers to the minimum distance from the detection base point to the contact surface between the target workpiece model and another mold, wherein the injection mold mold includes a fixed mold and a moving mold; the pouring distance refers to the plastic flow distance between the detection base point and the nearest gate; the cooling demand distribution map includes several equal demand areas set according to the value range of the cooling demand assessment value; The formula for calculating the cooling demand assessment value is: ； in To detect the base point identifier, As the detection base point The cooling requirement assessment value, For thickness evaluation coefficient, As the detection base point The minimum thickness value, This is the distance evaluation coefficient. As the detection base point The pouring distance, Additional items to be determined; Prior to calculating the cooling demand assessment value, the process also includes: Based on the core model and cavity model, the weld line location information is obtained, and the weld area of ​​the target workpiece model is determined based on the weld line location information. Based on the location information of each detection base point, the corresponding point property information is determined. Based on the point property information corresponding to each detection base point, the undetermined additional items in the calculation formula of the cooling demand assessment value are calculated. The welding area completely encloses the corresponding weld line; the point property information includes the area function type, welding property type, and contact surface type; The formula for calculating the pending additional items is: ； in This is the regional function assessment coefficient. As the detection base point Assigning regional function types based on detection baselines The corresponding value is determined by the region's functional type. This is the evaluation coefficient for weld lines. As the detection base point The weld area is assigned a value based on the detection base point. The value is determined by the welding property type; For the contact surface evaluation coefficient, As the detection base point The contact surface is assigned a value based on the detection baseline. The value is determined by the type of contact surface. The cooling demand distribution map records several equal cooling demand zones on the surface of the target workpiece model, determined according to the range of cooling demand evaluation values, and equal cooling demand lines used to divide the equal cooling demand zones. The cooling channel distribution schemes for the core model and cavity model, determined based on the cooling demand distribution diagram, include: Based on the cooling demand distribution map, draw the corresponding iso-cooling demand lines in the core model and cavity model. Based on the preset cooling channel deployment amount, evenly distribute several cooling channel distribution lines in the workpiece contact surface of the core model and cavity model. Based on the cooling channel distribution lines, several conformal channel deployment lines are set in the core model and cavity model; Based on the ratio of the average cooling demand assessment value of each segment in the cooling channel distribution line to the product of the area of ​​the equal cooling demand zone, the ratio of the channel surface area of ​​each segment of the cooling channel is determined to generate a cooling channel distribution scheme. The cooling channel distribution lines intersect at the cooling demand lines, and the flow direction is set from high to low along the cooling demand; the conformal channel deployment line refers to the reference line used to determine the deployment position of the cooling channel; the cooling channel distribution scheme records the position of several cooling channels, the coolant flow direction, and the surface area of ​​each channel segment.

2. The temperature control optimization method for injection molds according to claim 1, characterized in that: The process of acquiring the target workpiece drawing and importing it into 3D modeling software to create the target workpiece model and generate the core model and cavity model, and identifying and marking the regional function types of each area on the surface of the target workpiece model, includes: Obtain the target workpiece drawings and import them into 3D modeling software. Use an AI parsing plugin to process the target workpiece drawings to assist in generating the target workpiece model. The target workpiece model is processed by an AI parsing plugin to determine the composition of the demolding components, the dimensional tolerance requirements are marked based on the shape and size parameters, the parting line is selected, the parting surface is optimized, and the shrinkage rate is compensated based on the material properties to generate the core model and cavity model. The AI ​​parsing plugin processes the target workpiece drawing and related drawings to identify and mark the regional function types of each area on the surface of the target workpiece model. The target workpiece drawing records shape and size parameters, material type, and material properties; the 3D modeling software has a built-in AI parsing plugin that is specifically trained and optimized for industrial scenarios based on a large language model, which is used to parse the meaning of the drawing annotation information, view association relationships, and workpiece assembly relationships.

3. A temperature control optimization system for injection molds, characterized in that, The method for optimizing temperature control of injection molds according to any one of claims 1-2 includes: The area function type marking module is used to acquire the target workpiece drawing and import it into 3D modeling software to create the target workpiece model and generate the core model and cavity model, and to identify and mark the area function type of each area on the surface of the target workpiece model; The functional component design module is used to set demolding components in the core model area corresponding to the non-critical area and gating components and venting components in the cavity model area corresponding to the non-critical area based on the distribution of regional functional types on the surface of the target workpiece model. The cooling demand distribution assessment module is used to set several detection base points in an array on the surface of the target workpiece model, obtain the minimum thickness value corresponding to each detection base point, and generate a cooling demand distribution map of the surface of the target workpiece model based on the distribution characteristics of each detection base point. The injection mold model generation module is used to determine the cooling channel distribution scheme of the core model and cavity model based on the cooling demand distribution diagram, so as to generate the injection mold model. The functional types of the areas include appearance areas, mating areas, and non-critical areas; the cooling channel distribution scheme records the pipe diameter and liquid flow direction of the cooling channels; The cooling demand distribution assessment module includes: The target workpiece thickness measurement submodule is used to set several detection base points in an array on the surface of the target workpiece model so as to measure the minimum thickness value corresponding to each detection base point through 3D modeling software. The cooling demand assessment calculation submodule is used to obtain the corresponding pouring distance based on the location information of each detection base point, and to calculate the cooling demand assessment value based on the minimum thickness value and pouring distance corresponding to each detection base point. The cooling demand distribution map generation submodule is used to generate a cooling demand distribution map of the target workpiece model surface based on the value range of the cooling demand assessment values ​​of each detection base point. The minimum thickness value refers to the minimum distance from the detection base point to the contact surface between the target workpiece model and another mold, wherein the injection mold mold includes a fixed mold and a moving mold; the pouring distance refers to the plastic flow distance between the detection base point and the nearest gate; the cooling demand distribution map includes several equal demand areas set according to the value range of the cooling demand assessment value; The formula for calculating the cooling demand assessment value is: ； in To detect the base point identifier, As the detection base point The cooling requirement assessment value, For thickness evaluation coefficient, As the detection base point The minimum thickness value, This is the distance evaluation coefficient. As the detection base point The pouring distance, Additional items to be determined; Prior to calculating the cooling demand assessment value, the process also includes: Based on the core model and cavity model, the weld line location information is obtained, and the weld area of ​​the target workpiece model is determined based on the weld line location information. Based on the location information of each detection base point, the corresponding point property information is determined. Based on the point property information corresponding to each detection base point, the undetermined additional items in the calculation formula of the cooling demand assessment value are calculated. The welding area completely encloses the corresponding weld line; the point property information includes the area function type, welding property type, and contact surface type; The formula for calculating the pending additional items is: ； in This is the regional function assessment coefficient. As the detection base point Assigning regional function types based on detection baselines The corresponding value is determined by the region's functional type. This is the evaluation coefficient for weld lines. As the detection base point The weld area is assigned a value based on the detection base point. The value is determined by the welding property type; For the contact surface evaluation coefficient, As the detection base point The contact surface is assigned a value based on the detection baseline. The value is determined by the type of contact surface. The cooling demand distribution map records several equal cooling demand zones on the surface of the target workpiece model, determined according to the range of cooling demand evaluation values, and equal cooling demand lines used to divide the equal cooling demand zones. The cooling channel distribution schemes for the core model and cavity model, determined based on the cooling demand distribution diagram, include: Based on the cooling demand distribution map, draw the corresponding iso-cooling demand lines in the core model and cavity model. Based on the preset cooling channel deployment amount, evenly distribute several cooling channel distribution lines in the workpiece contact surface of the core model and cavity model. Based on the cooling channel distribution lines, several conformal channel deployment lines are set in the core model and cavity model; Based on the ratio of the average cooling demand assessment value of each segment in the cooling channel distribution line to the product of the area of ​​the equal cooling demand zone, the ratio of the channel surface area of ​​each segment of the cooling channel is determined to generate a cooling channel distribution scheme. The cooling channel distribution lines intersect at the cooling demand lines, and the flow direction is set from high to low along the cooling demand; the conformal channel deployment line refers to the reference line used to determine the deployment position of the cooling channel; the cooling channel distribution scheme records the position of several cooling channels, the coolant flow direction, and the surface area of ​​each channel segment.

4. The temperature control optimization system for injection molds according to claim 3, characterized in that: The region function type marking module includes: The target workpiece model generation submodule is used to acquire the target workpiece drawings and import them into the 3D modeling software. The AI ​​parsing plugin processes the target workpiece drawings to assist in generating the target workpiece model. The core and cavity modeling submodule is used to process the target workpiece model with AI parsing plugin to determine the composition of the demolding components, mark the dimensional tolerance requirements based on shape and size parameters, select the parting line, optimize the parting surface, and perform shrinkage compensation based on material properties to generate the core model and cavity model. The area function type identification submodule is used to process the target workpiece drawing and related drawings using an AI parsing plugin to identify and mark the area function type of each area on the surface of the target workpiece model. The target workpiece drawing records shape and size parameters, material type, and material properties; the 3D modeling software has a built-in AI parsing plugin that is specifically trained and optimized for industrial scenarios based on a large language model, which is used to parse the meaning of the drawing annotation information, view association relationships, and workpiece assembly relationships.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the temperature control optimization method for injection molds as described in any one of claims 1 to 2.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the temperature control optimization method for injection molds as described in any one of claims 1 to 2.

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