An intelligent management system for gear metal powder injection molding

Abstract

The present invention belongs to the technical field related to gear manufacturing, and discloses an intelligent management system for gear metal powder injection molding, including: a feature library for storing feature parameters of gear products; a knowledge base for storing full-process information of the gear product design process; a rule base for storing rules on the influence of process parameters on product quality during the gear product molding process; a data storage module for inputting the feature parameters of the input new gear product into the feature library, if the new gear product is a successful case, the full-process information of the new gear product is stored in the knowledge base, and the influence rules in the rule base are updated, if the new gear product is a failed case, the feature parameters that are the same as the successful case and the different feature parameters are visually displayed. The present application can effectively manage the feature parameters, process flow, etc. at the gear metal layer injection molding process, and significantly improve the efficiency of design and production.

Description

Technical Field

[0001] The present invention belongs to the technical field related to gear manufacturing, and more specifically, relates to an intelligent management system for gear metal powder injection molding. Background Art

[0002] Gears are the most common transmission parts used in mechanical equipment. They have the characteristics of complex shapes and high precision requirements. Metal injection molding technology not only has the same complex shapes and high precision as the products obtained by plastic injection molding, but also has physical, chemical and mechanical properties close to forgings, which is especially suitable for small gear manufacturing. At present, in the gear metal powder injection molding industry, mold design, feeding design, and process design are key parts. The existing general technology takes about 40 days from design to production of a pair of metal powder injection molding gears. The reason is that the gear metal powder injection molding process is complicated, including: part design, feeding design, mold structure design, structure simulation, process simulation, mold manufacturing, injection process, degreasing process, sintering process, etc. Each link has a large number of parameters, and the parameters between each process have an inheritance relationship. Even experienced designers need to repeatedly "trial and error", which is very time-consuming and labor-intensive, and the design takes a long time and the design efficiency is low. Summary of the invention

[0003] In response to the above defects or improvement needs of the prior art, the present invention provides an intelligent management system for gear metal powder injection molding, which can effectively manage the characteristic parameters, process flow, etc. of the gear metal layer injection molding process, which is beneficial to the manufacturing management of gear products and improves the efficiency of gear metal powder injection molding process design and production.

[0004] To achieve the above-mentioned purpose, according to one aspect of the present invention, there is provided an intelligent management system for metal powder injection molding of gears, the system comprising: a feature library for storing feature parameters of gear products; a knowledge base for storing full-process information of the gear product design process; a rule base for storing rules for the influence of process parameters on product quality during the molding process of gear products, wherein the storage form of the influence rules includes functional relationships and chart information; a data storage module for inputting the feature parameters of the input new gear product into the feature library, and if the new gear product is a successful case, storing the full-process information of the new gear product into the knowledge base, and comparing the influence rules of the new gear product with the function relationship in the rule library. The relationship is compared with the chart information. If the influencing rule of the new gear product is within the threshold range of the chart information, the chart information is updated by interpolation. If the influencing rule of the new gear product is not within the threshold range of the chart information, the threshold range of the chart information is updated. If the influencing rule of the new gear product conforms to the functional relationship, it is stored. If the influencing rule of the new gear product does not conform to the functional relationship, the functional relationship is refitted. If the new gear product is a failure case, the characteristic parameters of the new gear product are compared one by one with the characteristic parameters of the successful case, and the characteristic parameters that are the same as the successful case and the different characteristic parameters are displayed visually, and the comparison results are stored in the knowledge base.

[0005] Preferably, the system also includes a retrieval module for inputting characteristic parameters of a new gear product and comparing them with the characteristic parameters in the characteristic library. If the characteristic parameters are inconsistent with all the characteristic parameters in the characteristic library, an error message is output; if the characteristic parameters of the new gear product are consistent with the characteristic parameters in the characteristic library, the corresponding full-process information is retrieved from the knowledge base.

[0006] Preferably, calling out the corresponding full-process information from the knowledge base specifically includes searching from the knowledge base by inputting keywords in the retrieval module to obtain the full-process information in the knowledge base.

[0007] Preferably, the system also includes an intelligent design module, which is used to compare the characteristic parameters of the new gear product with the characteristic parameters in the characteristic library. If the similarity reaches a preset value, the corresponding full-process information is called out from the knowledge base; if the similarity is less than the preset value, the influencing rules in the rule library are interpolated with functions to redesign the full-process information of the new gear product.

[0008] Preferably, the system further comprises an intelligent conversion module for extracting characteristic parameters corresponding to the characteristic library according to the three-dimensional model of the gear product.

[0009] Preferably, the feature library includes a product feature library and a keyword feature library, wherein the product feature library includes appearance features, material features, performance features and molding defect features; the keyword feature library includes keywords corresponding to the features in the product feature library for retrieval.

[0010] Preferably, the knowledge base includes a process planning knowledge base for storing part process planning information, a feeding system knowledge base for storing feeding preparation information, a mold design system knowledge base for storing injection mold design and processing information, an injection process knowledge base for storing injection process information, a debinding system knowledge base for storing debinding process information, a sintering system knowledge base for storing sintering process information, a simulation knowledge base for storing simulation information and a field production knowledge base for storing product production processes.

[0011] Preferably, the mold design system knowledge base includes a cavity design knowledge base for storing mold cavity structure information, a pouring system knowledge base for storing pouring system information, an exhaust system knowledge base for storing exhaust system information, a temperature control system knowledge base for storing cooling and heating system information, a demolding mechanism knowledge base for storing demolding mechanism information and a processing and debugging knowledge base for storing mold processing, assembly and debugging information.

[0012] Preferably, the rule base includes a process planning rule base, a feeding rule base, a mold design rule base and a process parameter rule base.

[0013] Preferably, the storage form of the influencing rules also includes logical relationships and design standards, wherein the logical relationships include process planning, feeding design, mold design, and design logic rules used in process design; the functional relationships include process planning, feeding design, mold design, and mathematical functional relationships used in process design; the graphical information includes the corresponding relationships between numerical values ​​of process characteristic parameters, feeding characteristic parameters, and product characteristic parameters.

[0014] In general, compared with the prior art, the above technical solution conceived by the present invention provides an intelligent management system for metal powder injection molding of gears, which has the following beneficial effects:

[0015] 1. This application uniformly manages the characteristic parameters, full process information and influencing rules of gear products to facilitate later retrieval and call, and continuously expands and improves the feature library, knowledge base and rule library through the data storage module, so that the management system has wider practicality and better management accuracy.

[0016] 2. By searching the feature library and knowledge base, combined with the chart information, functional relationships, design standards, etc. in the feature library, the whole process design information such as gear metal powder injection molding mold structure parameters and process parameters can be quickly obtained without manually designing three-dimensional models and projecting two-dimensional drawings, which significantly improves the design efficiency of the gear metal powder injection molding process and reduces the strict requirements on the professional level of designers.

[0017] 3. By continuously entering new product process information, the accuracy of the chart information and functional relationships in the feature library can be effectively improved, and the accuracy of the intelligent design of gear metal powder injection molding can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the structure of the intelligent management system for metal powder injection molding of gears in this embodiment;

[0019] Figure 2 is a workflow diagram of the data storage module of this embodiment;

[0020] Figure 3 It is the workflow diagram of the retrieval module of this embodiment;

[0021] Figure 4 It is a workflow diagram of the intelligent design module of this embodiment. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0023] See also Figure 1 The present invention provides an intelligent management system for gear metal powder injection molding, the system comprising a feature library, a knowledge base, a rule library and a data storage module.

[0024] The feature library is used to store the characteristic parameters of gear products. The feature library includes a product feature library and a keyword feature library. Among them, the product feature library includes appearance features, material features, performance features and molding defect features. The appearance feature parameters include gear type, appearance size, material, module, number of teeth, tooth angle, displacement coefficient, tooth width, helix angle, etc. Material features include the name, physical performance parameters and mechanical performance parameters of metal materials and adhesive materials. Performance characteristics include precision parameters, noise parameters, surface quality parameters, etc. of gear products. Forming defect features include material shortage, insufficient injection molding, shrinkage, mold sticking, flash, deformation, weld line, flow pattern, bubble, scratch, crack, different color, multiple materials, etc. that occur during the molding process of gears. The keyword feature library includes keywords corresponding to the features in the product feature library for retrieval.

[0025] The knowledge base is used to store the whole process information of gear product design, and stores the characteristic parameters of the whole process of gear metal powder injection molding, the design files generated in the design process, and the statistical charts of characteristic parameters in a set standard format. According to the design and production process, it is divided into various knowledge sub-bases, including process planning knowledge base, feeding system knowledge base, mold design system knowledge base, injection process knowledge base, degreasing system knowledge base, sintering system knowledge base, simulation knowledge base and on-site production knowledge base.

[0026] Among them, the process planning knowledge base is used to store the process planning information of parts.

[0027] The feeding system knowledge base is used to store feed preparation information, including feed mixing ratio, feed viscosity, feed elasticity, mixing uniformity, etc.

[0028] The mold design system knowledge base is used to store injection mold design and processing information, including cavity design knowledge base, pouring system knowledge base, exhaust system knowledge base, temperature control system knowledge base, demoulding mechanism knowledge base and processing and debugging knowledge base. Among them, the cavity design knowledge base is used to store mold cavity structure information, including mold structure, material, cavity type, cavity size, etc.; the pouring system knowledge base is used to store pouring system information, including gate form, gate position, main channel structure, main channel size, runner structure, runner size, etc.; the exhaust system knowledge base is used to store exhaust system information. The knowledge base of temperature control system is used to store the information of cooling and heating system, including the structure of cooling circuit, the size of cooling circuit, cooling medium, cooling time, heating method, structure of heating circuit, size of heating circuit, specifications of sealing ring, installation size of sealing ring, etc. The knowledge base of demoulding mechanism is used to store the information of demoulding mechanism, including the demoulding method, demoulding direction, size of demoulding structure, etc. The knowledge base of processing and debugging is used to store the information of mold processing, assembly and debugging, including processing method, processing technology arrangement, equipment information, assembly method, debugging report, etc.

[0029] The injection process knowledge base is used to store injection process information, including barrel temperature, nozzle temperature, molding temperature, screw rotation speed, maximum injection pressure, loading pressure, filling time, loading time, cooling time, molding cycle, etc.

[0030] The degreasing system knowledge base stores degreasing process information, including degreasing methods, degreasing equipment, temperature, etc.

[0031] The sintering system knowledge base stores sintering process information, including sintering equipment, temperature, and product shrinkage.

[0032] The on-site production knowledge base stores record files of product production, etc.

[0033] The rule base is used to store the rules of the process parameters in the gear product molding process affecting the product quality, including: process planning rule base, feeding system rule base, mold design system rule base, and process parameter rule base. The mold design system rule base includes: cavity design rule base, pouring system rule base, exhaust system rule base, temperature control system rule base, and demolding mechanism rule base. The process parameter rule base includes: injection process parameter rule base, degreasing process parameter rule base, and sintering process parameter rule base. The storage form of the influencing rules includes logical relations, functional relations, chart information, and design standards, wherein the logical relations include process planning, feeding design, mold design, and design logic rules used in process design, and the logical rules are converted into logical expressions, and the logical expressions include: true and false functions, and or non-functions, greater than, less than, or equal to; the functional relations include mathematical function relations used in process planning, feeding design, mold design, and process design; the chart information includes the corresponding relationship between the process characteristic parameters, feeding characteristic parameters, and product characteristic parameters.

[0034] The data storage module is used to input the characteristic parameters of the input new gear product into the characteristic library, such as Figure 2As shown, if the new gear product is a successful case, the full process information of the new gear product is stored in the knowledge base, and the influence rule of the new gear product is compared with the functional relationship and chart information in the rule base. If the influence rule of the new gear product is within the threshold range of the chart information, the chart information is updated by interpolation. If the influence rule of the new gear product is not within the threshold range of the chart information, the threshold range of the chart information is updated. If the influence rule of the new gear product meets the functional relationship, it is stored. If the influence rule of the new gear product does not meet the functional relationship, the functional relationship is refitted. If the new gear product is a failed case, the characteristic parameters of the new gear product are compared one by one with the characteristic parameters of the successful case, and the characteristic parameters that are the same as the successful case and the different characteristic parameters are displayed visually, and the comparison results are stored in the knowledge base. For example, if a parameter is equal to a parameter in a successful case, the parameter is displayed in black, if it is less than the parameter of the successful case, it is displayed in blue, and if it is greater than the parameter of the successful case, it is displayed in red. In this way, one parameter is compared until all parameter comparisons are completed.

[0035] The permissions of the data storage module can be set manually, for example, it can only be developed by the administrator of the management system, and is associated with the feature library, knowledge base and rule library. New gear products are entered into the feature library in the form of feature parameters set by the feature library through feature parameter values. Each process information of new gear products from design to production is stored in the corresponding knowledge base in the form of parameters, documents and charts set by each knowledge base. The feature parameters of the product stored in the feature library and knowledge base are associated through naming rules and additional attributes. The gear metal powder injection molding rule data is entered into the gear injection molding rule base in the form set by the configuration file.

[0036] The management system also includes a retrieval module, an intelligent design module, an intelligent conversion module and an online learning module.

[0037] The retrieval module is connected to the feature library and the knowledge base, and is used to input the feature parameters of the new gear product and compare them with the feature parameters in the feature library, such as Figure 3 As shown, if it is inconsistent with all the feature parameters in the feature library, an error message is output; if the feature parameters of the new gear product are consistent with the feature parameters in the feature library, the corresponding full-process information is retrieved from the knowledge base. The user inputs multiple feature parameters through logical relationships. The more feature parameter information, the more accurate the search results; the logical relationships include: or, and, and not. The user inputs the gear product features, and the system outputs the full-process feature parameters of the product for inputting keywords. The system can output documents and charts containing target keywords in the knowledge base.

[0038] The intelligent design module is associated with the feature library, the knowledge library and the rule library, and is used to compare the feature parameters of the new gear product with the feature parameters in the feature library, such as Figure 4 As shown, if the similarity reaches the preset value, the corresponding full-process information is retrieved from the knowledge base. If the similarity is less than the preset value, the influencing rules in the rule base are interpolated by functions to redesign the full-process information of the new gear product.

[0039] The intelligent conversion module is used to convert the 3D model information of the product into relatively independent parameter information set by the product feature library, and digitize the parameter information. Each parameter information is a numerical value or a character string.

[0040] The online learning module provides document information of corresponding knowledge base and rule base according to different job requirements of users.

[0041] After the administrator enters the new gear metal powder injection molding feature parameters and process files from design to production, the system will store the product's feature parameters and design process in the feature library and knowledge base respectively, and associate them through naming rules and additional attributes. Different versions of the same product generated during the design process can be distinguished by version numbers.

[0042] To sum up, this application can store the company's previous design experience and theoretical rules in an orderly manner, effectively manage technical information, and provide designers with full-process design information through intelligent retrieval and interpolation calculations. With the continuous input of gear metal injection molding process information, the accuracy of the gear metal powder injection molding intelligent management system is gradually improved, which effectively improves the design efficiency of the gear metal powder injection molding process and reduces design time and design costs.

[0043] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent management system for gear metal powder injection molding, characterized in that: The system comprises: Feature library, used to store characteristic parameters of gear products; Knowledge base, used to store the whole process information of gear product design; A rule base, used to store the influence rules of process parameters on product quality during the gear product forming process, wherein the storage form of the influence rules includes functional relationship and chart information; A data storage module is used to input the characteristic parameters of the input new gear product into a characteristic library. If the new gear product is a successful case, the full process information of the new gear product is stored in the knowledge base, and the influencing rules of the new gear product are compared with the functional relationship and chart information in the rule base. If the influencing rules of the new gear product are within the threshold range of the chart information, the chart information is updated by interpolation; if the influencing rules of the new gear product are not within the threshold range of the chart information, the threshold range of the chart information is updated; if the influencing rules of the new gear product conform to the functional relationship, the influencing rules are stored; if the influencing rules of the new gear product do not conform to the functional relationship, the functional relationship is refitted; if the new gear product is a failed case, the characteristic parameters of the new gear product are compared one by one with the characteristic parameters of the successful case, the characteristic parameters that are the same as the successful case and the different characteristic parameters are visually displayed, and the comparison results are stored in the knowledge base.

2. The system according to claim 1, characterized in that The system also includes a retrieval module for inputting characteristic parameters of a new gear product and comparing them with the characteristic parameters in the characteristic library. If the characteristic parameters are inconsistent with all the characteristic parameters in the characteristic library, an error message is output; if the characteristic parameters of the new gear product are consistent with the characteristic parameters in the characteristic library, the corresponding full-process information is retrieved from the knowledge base.

3. The system according to claim 2, characterized in that The step of retrieving the corresponding full-process information from the knowledge base specifically includes inputting keywords in a search module to search from the knowledge base to obtain the full-process information in the knowledge base.

4. The system according to claim 1, characterized in that The system also includes an intelligent design module, which is used to compare the characteristic parameters of the new gear product with the characteristic parameters in the characteristic library. If the similarity reaches a preset value, the corresponding full-process information is called out from the knowledge base. If the similarity is less than the preset value, the influencing rules in the rule library are interpolated with functions to redesign the full-process information of the new gear product.

5. The system according to claim 1, characterized in that The system also includes an intelligent conversion module for extracting characteristic parameters corresponding to the characteristic library according to the three-dimensional model of the gear product.

6. The system according to claim 1, characterized in that The feature library includes a product feature library and a keyword feature library, wherein the product feature library includes appearance features, material features, performance features and molding defect features; the keyword feature library includes keywords corresponding to the features in the product feature library for retrieval.

7. The system according to claim 1, characterized in that The knowledge base includes a process planning knowledge base for storing part process planning information, a feeding system knowledge base for storing feeding preparation information, a mold design system knowledge base for storing injection mold design and processing information, an injection process knowledge base for storing injection process information, a debinding system knowledge base for storing debinding process information, a sintering system knowledge base for storing sintering process information, a simulation knowledge base for storing simulation information and a field production knowledge base for storing product production processes.

8. The system according to claim 7, characterized in that The mold design system knowledge base includes a cavity design knowledge base for storing mold cavity structure information, a pouring system knowledge base for storing pouring system information, an exhaust system knowledge base for storing exhaust system information, a temperature regulation system knowledge base for storing cooling and heating system information, a demolding mechanism knowledge base for storing demolding mechanism information, and a processing and debugging knowledge base for storing mold processing, assembly and debugging information.

9. The system according to claim 1, characterized in that The rule base includes a process planning rule base, a feeding rule base, a mold design rule base and a process parameter rule base.

10. The system according to claim 9, characterized in that The storage form of the influencing rules also includes logical relationships and design standards, wherein the logical relationships include process planning, feeding design, mold design, and design logic rules used in process design; the functional relationships include process planning, feeding design, mold design, and mathematical function relationship formulas used in process design; the chart information includes the corresponding relationship between numerical values ​​of process characteristic parameters, feeding characteristic parameters, and product characteristic parameters.

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