CN113901639A - Intelligent manufacturing system for gear injection molding - Google Patents
Intelligent manufacturing system for gear injection molding Download PDFInfo
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- CN113901639A CN113901639A CN202111047456.XA CN202111047456A CN113901639A CN 113901639 A CN113901639 A CN 113901639A CN 202111047456 A CN202111047456 A CN 202111047456A CN 113901639 A CN113901639 A CN 113901639A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention belongs to the technical field related to gear injection molding dies and process design, and discloses an intelligent manufacturing system for gear injection molding, which comprises: the characteristic database stores characteristic parameters; the knowledge base stores the full-process information; the rule base stores the influence rules; the intelligent design module comprises a parameter receiving submodule and a similarity calculation operator module, wherein the parameter receiving submodule receives the characteristic parameters, the similarity calculation operator module calculates the similarity between the characteristic parameters and the characteristic parameters in the characteristic library, and if the similarity between the characteristic parameters and a certain gear in the characteristic library is smaller than a preset value, the intelligent design module carries out design according to an influence rule to obtain a design result; and the data storage module is used for storing the design result if the design result meets the requirement, and the input module is used for inputting a new influence rule to the rule base for redesigning if the design result does not meet the requirement. The method and the device have the advantages that reusability of the gear injection molding process is realized, and efficiency of gear injection molding process design and production is remarkably improved.
Description
Technical Field
The invention belongs to the technical field related to gear injection molding dies and process design, and particularly relates to an intelligent manufacturing system for gear injection molding.
Background
The gear is the most common transmission part applied in mechanical equipment, the plastic gear has the advantages of low transmission noise, vibration absorption, self lubrication, high mold processing and production efficiency and the like, and the plastic gear is increasingly applied in the gear industry and becomes a worldwide trend. The gear injection molding industry currently faces the following problems: (1) the plastic gear is used as a precise part, the mold design and injection molding process planning of the plastic gear have strong speciality, the design and manufacturing cycle of a gear product is long, a period of 30 days is generally needed from design to production of a pair of gears, a structural designer usually uses three-dimensional software to carry out part modeling and then assembles a three-dimensional mold model, intensity checking, interference checking and the like are carried out through simulation software, a two-dimensional graph is projected and various marks are made, the process designer usually uses the simulation software to simulate the molding process, the accuracy of the structural design and the process design is verified by predicting defects in molding, parameters are adjusted after the simulation structure is unsatisfactory, the core idea of the method is still a trial and error method by repeatedly adjusting the parameters through the simulation software; (2) at present, the structural design of a plastic gear mold lacks of an industrial standard, the precision change rule of shrinkage deformation in the processing process of a plastic gear also lacks of deep research, and the manufacturing process of the gear seriously depends on the technology and experience of designers; (3) although the design documents, the process cards and the like are stored in the form of electronic documents, effective association and design are lacked, the influence of each process parameter on products and the influence rule among the process parameters are difficult to accurately design, and the design scheme is difficult to accumulate and reuse.
Disclosure of Invention
Aiming at the defects or the improvement requirements of the prior art, the invention provides the intelligent manufacturing system for gear injection molding, which can effectively manage the design flow and the process parameters in the gear injection molding process, realize the reusability of the gear injection molding process and obviously improve the efficiency of the gear injection molding process design and production.
To achieve the above object, according to one aspect of the present invention, there is provided an intelligent manufacturing system for gear injection molding, the system including: the characteristic library is used for storing characteristic parameters corresponding to a plurality of gears; a knowledge base for storing full process information from design to production for the plurality of gears; the rule base is used for storing the influence rules of the structural parameters and the process parameters of the gears on the quality of the gears; the intelligent design module comprises a parameter receiving submodule, a similarity calculation operator module and a result verification submodule, wherein the parameter receiving submodule is used for receiving the characteristic parameters of the gear injection molded part to be prepared and sending the characteristic parameters to the similarity calculation operator module, the similarity calculation operator module is used for carrying out similarity calculation on the characteristic parameters and the characteristic parameters in the characteristic library, and if the similarity of the characteristic parameters and a certain gear in the characteristic library is larger than or equal to a preset value, the full-process information corresponding to the gear in the knowledge library is adopted for preparing the gear injection molded part to be prepared; if the similarity of the gear to a certain gear in the feature library is smaller than a preset value, designing the full-process information of the gear injection molded part to be prepared according to the influence rules in the rule library to obtain a design result;
the data storage module is used for respectively storing the characteristic parameters and the full-process information of the gear injection molding part to be prepared into the characteristic library and the knowledge library if the design result meets the requirement;
and the input module is used for inputting a new influence rule to the rule base for redesigning if the design result does not meet the requirement.
Preferably, when the preset value is less than 100%, the system further includes a fine tuning module, and when the similarity is greater than or equal to the preset value but less than 100%, the fine tuning module is configured to modify the full-process information in the knowledge base according to the influence rule in the rule base to obtain a design result.
Preferably, the full process information includes design documents, structural parameters and process parameters, the rule base includes a structural design rule base and a process design rule base, the structural design rule base is used for storing influence rules in the structural design process, and the process design rule base is used for storing influence rules in the process design process.
Preferably, the storage mode of the influence rule includes a logic relationship, a functional relationship, diagram information and a design standard.
Preferably, the system further comprises a model identification module for identifying and extracting characteristic parameters in the three-dimensional model of the gear injection molded part to be prepared.
Preferably, the system further comprises a data retrieval module, wherein the data retrieval module is connected with the feature library and the rule library and is respectively used for retrieving the feature parameters in the feature library and the influence rules in the rule library according to the feature parameters of the gear injection molding part to be prepared.
Preferably, the system further comprises a second similarity calculation module connected with the feature library, and the second similarity calculation module is used for comparing the feature parameters of the gear injection molded part to be prepared with the feature parameters in the feature library, and if the similarity is greater than a second preset value, outputting the corresponding full-process information in the knowledge base through the data retrieval module.
Preferably, the corresponding information of the gears in the feature library and the knowledge base are associated by a naming rule or an additional attribute.
Preferably, the knowledge base comprises a structural design knowledge base, a process design knowledge base, a simulation knowledge base, a mold processing and assembling knowledge base and a field production knowledge base, wherein the structural design knowledge base is used for storing the full-flow information of a mold structure level, a pouring system structure level, an exhaust system structure level and a temperature control system structure level; the process design knowledge base is used for storing the full-flow information of the gear product process level; the simulation knowledge base is used for storing simulation files and simulation reports of the gear; the mould processing and assembling knowledge base is used for storing mould processing, assembling and debugging information; the on-site production knowledge base is used for storing the production record files of the gear products and the production equipment information.
Preferably, the feature library comprises a product feature library, a forming defect feature library and a keyword feature library, wherein the product feature library is used for providing feature parameters for describing the gear structure morphology, and the forming defect feature library is used for storing defect parameters of a product in the design and production processes; the keyword feature library is used for storing keyword information involved in retrieval and storage.
Generally, compared with the prior art, through the above technical scheme of the invention, the intelligent manufacturing system for gear injection molding provided by the invention has the following beneficial effects:
1. based on the current situation that the whole process technological parameters are various and the technical experience and the rules are lack of effective management in the field of gear injection molding at present, the gear product is described in a mode of parameters according to the characteristics in a product characteristic library, the whole process information from design to production, such as structural parameters, technological parameters and the like in the production process, is stored in a knowledge library, the characteristic library is associated with the corresponding gear in the knowledge library, the characteristic library and the knowledge library are called and compared through an intelligent design module, if the corresponding gear design information is stored, the existing design process is directly adopted for design, and if the corresponding gear design information is not stored, the intelligent design module is used for design according to the corresponding rules in the rule library.
2. The data retrieval module is connected with the feature library and the rule library, so that a user can conveniently retrieve and obtain feature parameters in the feature library and influence rules in the rule library, and one-click retrieval of a product design flow can be realized through the feature parameters and keywords.
3. And in the data storage process, the chart information and the function information of the parameters in the knowledge base and the feature base are updated in real time, so that the offline learning of the gear injection molding process is realized.
4. In the process of gear injection molding structure design and process design, similar parts are searched in the feature library, the structures and process parameters of the similar parts are extracted, and gear full-flow design information is provided for a designer through extraction and interpolation calculation according to logic relation, functional relation and chart information in the rule library on the basis of the structures and process parameters of the similar parts, so that the gear injection molding process design efficiency can be effectively improved, and the design time and the design cost are reduced.
5. The rule base, the feature base and the knowledge base have expandability, accuracy of chart information and interpolation functions in the knowledge base and the feature base is effectively improved, and accuracy of gear injection molding in the aspect of intelligent design is further improved.
Drawings
FIG. 1 is a schematic diagram of an intelligent design module according to the present embodiment;
FIG. 2 is a functional block diagram of the gear injection molding intelligent manufacturing system of the embodiment;
fig. 3 is an overall flowchart of the gear injection molding intelligent manufacturing system according to the embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Referring to fig. 1 to 3, the present invention provides an intelligent manufacturing system for gear injection molding, which includes a feature library, a knowledge library, a rule library, an intelligent design module, a data storage module, and an input module.
As shown in fig. 2, the feature library is used for storing feature parameters corresponding to a plurality of gears, and includes a product feature library, a forming defect feature library, and a keyword feature library. The product feature library is used for providing feature parameters for describing the structural morphology of the gear, the feature parameters are relatively independent and are stored in a character string mode and comprise the gear type, the material, the modulus, the tooth number, the tooth form angle, the deflection coefficient, the tooth width, the spiral angle and the like, and the feature parameters are stored in the product feature library in a digital mode. The forming defect feature library provides and stores defect parameters of products in the design and production processes, the defect parameters are relatively independent and are stored in a character string mode, the defect parameters comprise material shortage, shrinkage, die sticking, flash, breakage, bonding lines, flow lines, bubbles, deformation, air holes, lusterless and the like, and corresponding product features are related through logical relations. The keyword feature library provides keyword information involved in retrieval and storage.
The knowledge base is used for storing the full-process information of the gears from design to generation and storing document information, structural parameter information, process parameter information, simulation parameters, field equipment and personnel information generated in the process in a defined standard format. The full flow information includes design documents, structural parameters, and process parameters.
The knowledge base comprises a structure design knowledge base, a process design knowledge base, a simulation knowledge base, a die machining and assembling knowledge base and an on-site production knowledge base. The structural design knowledge base is used for storing the full-flow information of a mold structure level, a pouring system structure level, an exhaust system structure level and a temperature control system structure level. The full flow information of the mould structure layer comprises: the number of the die cavities of the die, a guide structure, a working structure, materials, the size of the die cavities, a demoulding mode, a demoulding direction, the size of a demoulding structure and the like. The full-flow information of the structural level of the gating system comprises the following steps: sprue form, sprue location, sprue structure, sprue dimensions, runner structure, runner dimensions, and the like. The full-flow information of the exhaust system structure layer comprises the position of the exhaust groove, the size of the exhaust groove and the like. The full flow information of the structure level of the temperature control system comprises: cooling mode, cooling circuit structure, cooling circuit size, heating mode, heating circuit structure, heating circuit size, sealing washer specification, sealing washer installation dimension etc..
The process design knowledge base is used for storing the full-process information of the gear product process level. The full flow information in the process design knowledge base includes the temperature of the charging barrel, the temperature of the nozzle, the temperature of the mold, the injection pressure, the pressure maintaining pressure, the plasticizing pressure, the injection time, the pressure maintaining time, the cooling medium, the cooling time and the like.
The simulation knowledge base is used for storing simulation files and simulation reports of the gear.
The mould processing and assembling knowledge base is used for storing mould processing, assembling and debugging information, and comprises a processing mode, processing technology arrangement, equipment information, an assembling method, a debugging report and the like.
The on-site production knowledge base is used for storing the production record files of the gear products and the production equipment information.
In summary, the knowledge base includes the whole process of gear product design production, such as a spur gear, a plurality of versions of different combinations of structural design parameter values appear in the structural design process or because of continuous optimization of the design parameter values, each version is distinguished by a version number, a mark (for example, marked as true) is added as a final version of the structural design parameter of the spur gear, a mark (for example, marked as false) is added to the rest of the versions, and the defect parameters existing in the version are recorded. Different versions of the spur gear in the processes of process design, simulation and die assembly debugging are stored in the same way. The parameter information and the document information of the spur gear in the knowledge base are related to the parameter information of the spur gear in the feature base through the product code and the additional attribute.
The rule base is used for storing the influence rules of the structural parameters and the process parameters of the plurality of gears on the quality of the gears. The rule base comprises a structure design rule base and a process design rule base, the structure design rule base is used for storing influence rules in the structure design process, and the process design rule base is used for storing the influence rules in the process design process. The storage mode of the influence rule comprises a logic relation, a functional relation, diagram information and a design standard. The logical relationship comprises design logic rules adopted in the process of designing the mould and the process. The function relation comprises mathematical function relation formulas used in module design and process design. The chart information comprises corresponding relations between values and values among process characteristic parameters, material characteristic parameters and product characteristic parameters. The logical relationship includes a logical conversion expression, such as a true and false function, an AND or NOR function, a greater than or equal to or less than, and the like.
As shown in fig. 1, the intelligent design module includes a parameter receiving submodule and a similarity calculation operator module, wherein the parameter receiving submodule is configured to receive a characteristic parameter of a gear injection molded part to be prepared and send the characteristic parameter to the similarity calculation operator module, the similarity calculation operator module is configured to perform similarity calculation between the characteristic parameter and the characteristic parameter in the characteristic library, and if the similarity to a certain gear in the characteristic library is greater than or equal to a preset value, the gear injection molded part to be prepared is prepared by using full-process information corresponding to the gear in a knowledge library; and if the similarity of the gear to a certain gear in the characteristic library is smaller than a preset value, designing the full-flow information of the gear injection molded part to be prepared according to the influence rules in the rule library to obtain a design result.
When the preset value is less than 100%, the system further comprises a fine tuning module, and when the similarity is greater than or equal to the preset value but less than 100%, the fine tuning module is used for correcting the full-process information in the knowledge base according to the influence rules in the rule base to obtain a design result.
The system further comprises a model identification module, and the model identification module is used for identifying and extracting characteristic parameters in the three-dimensional model of the gear injection molding part to be prepared. For example, a user selects 3D model information of a product through a human-computer interaction interface, converts the 3D model information into relatively independent parameter information set in a product feature library, and digitizes the parameter information, each parameter information being a numerical value or a character string.
As shown in fig. 3, the system further includes a data retrieval module, and the data retrieval module is connected to the feature library and the rule library and is respectively used for retrieving the feature parameters in the feature library and the influence rules in the rule library according to the feature parameters of the gear injection molded part to be prepared. For example, a user inputs a characteristic parameter of a product through a human-computer interaction interface or reads a characteristic parameter value converted by a model identification module, a system traverses a characteristic library, the products with the characteristic parameter value are arranged and displayed in a list form, if the product in the characteristic library has no the parameter value, | A-B | (A is the characteristic parameter value of the input product, and B is a related product characteristic parameter value in the characteristic library) is calculated, the library products are arranged and displayed in a list form according to the magnitude sequence of the value, and each list corresponds to parameter information, document information, chart information and the like of the product in the characteristic library and a knowledge base. The data retrieval module can input a single characteristic parameter for fuzzy retrieval, and can also input a plurality of parameters through logical relations for accurate retrieval.
The system also comprises a second similarity calculation module connected with the feature library and used for comparing the feature parameters of the gear injection molding part to be prepared with the feature parameters in the feature library, and if the similarity is greater than a second preset value, outputting the corresponding full-process information in the knowledge base through the data retrieval module.
The system also comprises a data storage module and an input module, wherein the data storage module and the input module are used for respectively storing the characteristic parameters and the full-process information of the gear injection molding part to be prepared into the characteristic library and the knowledge library if the design result meets the requirement; and the input module is used for inputting a new influence rule to the rule base for redesigning if the design result does not meet the requirement. For example, a manager can input the full-process information of new gear product design and production through a human-computer interaction interface, the product is input into a feature library through feature parameter values in a feature parameter form set by the feature library, the product is stored into a knowledge base from design to generation in a parameter form, a document form and a chart form set by the knowledge base, the feature parameters of the product stored into the feature library and the knowledge base are associated through naming rules and additional attributes, gear injection molding rule data is input into a gear injection molding rule library through a form set by a configuration file, the configuration file is a text document, and the feature parameters and the feature parameter values are input through a set format.
The intelligent manufacturing system for gear injection molding in the application comprises three design languages: mathematical functions, the development computer language of the design software (e.g., NX design software, with the corresponding computer language being CAD), and the underlying development computer language (e.g., C + + language, etc.). The mathematical functions are used for establishing related functional relations among the structural parameters, the process parameters and the characteristic parameters of the parts, and the underlying development computer language is used for compiling the established mathematical functions so as to convert all the mathematical functions into a program language. The development computer language of the design software is used for carrying out secondary development on the design software so that the whole intelligent manufacturing system for gear injection molding is in seamless butt joint with the design software. The design software is preferably NX, however, other design software, such as CATIA, Creo, SolidWorks, etc., may be adopted in other embodiments, and the gear injection molding intelligent library system of the present invention may be linked with the design software only by performing corresponding secondary development.
To sum up, this application can carry out orderly storage with enterprise's design experience and theoretical rule in the past, effective management technical information to for the designer provides full flow design information through intelligent retrieval and interpolation calculation etc. along with constantly entering gear injection moulding process information, gear injection moulding intelligence makes painful accuracy progressively improve, effectively improves gear injection moulding process design efficiency, reduces design time and design cost.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An intelligent manufacturing system for gear injection molding, the system comprising:
the characteristic library is used for storing characteristic parameters corresponding to a plurality of gears;
a knowledge base for storing full process information from design to production for the plurality of gears;
the rule base is used for storing the influence rules of the structural parameters and the process parameters of the gears on the quality of the gears;
the intelligent design module comprises a parameter receiving submodule and a similarity calculation operator module, wherein the parameter receiving submodule is used for receiving characteristic parameters of the gear injection molded part to be prepared and sending the characteristic parameters to the similarity calculation operator module, the similarity calculation operator module is used for carrying out similarity calculation on the characteristic parameters and the characteristic parameters in the characteristic library, and if the similarity of the characteristic parameters and a certain gear in the characteristic library is greater than or equal to a preset value, the full-process information corresponding to the gear in the knowledge library is adopted for preparing the gear injection molded part to be prepared; if the similarity of the gear to a certain gear in the feature library is smaller than a preset value, designing the full-process information of the gear injection molded part to be prepared according to the influence rules in the rule library to obtain a design result;
the data storage module is used for respectively storing the characteristic parameters and the full-process information of the gear injection molding part to be prepared into the characteristic library and the knowledge library if the design result meets the requirement;
and the input module is used for inputting a new influence rule to the rule base for redesigning if the design result does not meet the requirement.
2. The system of claim 1, wherein when the preset value is less than 100%, the system further comprises a fine tuning module, and when the similarity is greater than or equal to the preset value but less than 100%, the fine tuning module is configured to modify the full-process information in the knowledge base according to the influence rules in the rule base to obtain the design result.
3. The system of claim 1, wherein the full process information comprises design documents, structural parameters, and process parameters, and the rule base comprises a structural design rule base for storing influence rules in the structural design process and a process design rule base for storing influence rules in the process design process.
4. The system of claim 3, wherein the storage of the influencing rules comprises logical relationships, functional relationships, graphical information, and design criteria.
5. The system of claim 1, further comprising a model identification module for identifying and extracting characteristic parameters in a three-dimensional model of a gear injection-molded article to be produced.
6. The system according to claim 5, further comprising a data retrieval module connected with the feature library and the rule library for retrieving the feature parameters in the feature library and the influence rules in the rule library according to the feature parameters of the gear injection molded part to be prepared, respectively.
7. The system according to claim 6, further comprising a second similarity calculation module connected to the feature library, configured to compare the feature parameters of the gear injection molded part to be prepared with the feature parameters in the feature library, and if the similarity is greater than a second preset value, output the corresponding full-process information in the knowledge base through the data retrieval module.
8. The system of claim 1, wherein the corresponding information of the gears in the feature library and the knowledge library is associated by a naming rule or an additional attribute.
9. The system of claim 1, wherein the knowledge base comprises a structural design knowledge base, a process design knowledge base, a simulation knowledge base, a mold processing and assembling knowledge base and a field production knowledge base, wherein the structural design knowledge base is used for storing full flow information of a mold structure level, a pouring system structure level, an exhaust system structure level and a temperature control system structure level; the process design knowledge base is used for storing the full-flow information of the gear product process level; the simulation knowledge base is used for storing simulation files and simulation reports of the gear; the mould processing and assembling knowledge base is used for storing mould processing, assembling and debugging information; the on-site production knowledge base is used for storing the production record files of the gear products and the production equipment information.
10. The system according to claim 1, wherein the feature library comprises a product feature library, a forming defect feature library and a keyword feature library, wherein the product feature library is used for providing feature parameters describing the gear structure appearance, and the forming defect feature library is used for storing defect parameters of products in the designing and producing process; the keyword feature library is used for storing keyword information involved in retrieval and storage.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116244773A (en) * | 2023-02-17 | 2023-06-09 | 华中科技大学 | Intelligent driving system for metal plate forming die design, electronic equipment and storage medium |
| CN116933446A (en) * | 2023-09-15 | 2023-10-24 | 华中科技大学 | Identification method and device for injection molding gear feature model and electronic equipment |
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2021
- 2021-09-08 CN CN202111047456.XA patent/CN113901639A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116244773A (en) * | 2023-02-17 | 2023-06-09 | 华中科技大学 | Intelligent driving system for metal plate forming die design, electronic equipment and storage medium |
| CN116933446A (en) * | 2023-09-15 | 2023-10-24 | 华中科技大学 | Identification method and device for injection molding gear feature model and electronic equipment |
| CN116933446B (en) * | 2023-09-15 | 2023-12-05 | 华中科技大学 | Identification method and device for injection molding gear feature model and electronic equipment |
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