A method for intelligent manufacturing of gears

Abstract

The present invention provides a gear intelligent manufacturing method, the steps of which are as follows: step A: calculating gear parameters; step B: generating processing motion control instructions; step C: measuring gear parameters; step D: testing gear performance; step E: managing gear processing flow; through the above steps, the manufacturing method described in the present invention solves the limitations of the existing gear processing procedures in the manufacturing industry, such as complicated, low efficiency and high cost; the gear processing and manufacturing are divided into different steps, real-time information interaction is realized, and clear design and manufacturing plans and logistics configuration information are formulated for designers, users, and managers, providing good ideas for the future manufacturing industry, and having good practical application value.

Description

Technical Field

[0001] The present invention proposes a gear intelligent manufacturing method, which relates to technical fields such as gear intelligent manufacturing, big data, and cloud computing. Background Art

[0002] Gears are a key basic component used in transmission systems. They are used in large quantities and in a wide range of fields, and are used in almost every field of the national economy. Gears and related industries are technology-intensive, personnel-intensive, and capital-intensive industries in the manufacturing industry. They urgently need to use the latest information technology, artificial intelligence technology, and Internet of Things technology to improve product added value and production efficiency, and help the transformation and upgrading of traditional manufacturing industries.

[0003] The production efficiency of gears directly affects the quality and profit of gear parts or transmission components composed of gears. At present, the design, manufacturing, inspection and error compensation process of gears in my country is cumbersome, and most factories and workshops still use traditional manual methods. In the production process of gear parts, due to the difficulty of operating the processing machine tools, the large number of processing procedures, and the unreasonable layout of processing equipment, the gear processing procedures cannot be reasonably connected, which seriously affects the processing quality and stability of the gears. In addition, there is a lack of professional and intelligent auxiliary systems at each stage of this process, resulting in low manufacturing efficiency of gears and related products. In the process of connecting the steps of gear design, processing, measurement, and transportation, a lot of manpower and material resources are consumed due to inefficient information transmission. It can be seen that most of the current gear processing methods in my country can no longer meet the needs of future social production.

[0004] In summary, driven by the continuous advancement of artificial intelligence technology and manufacturing technology, the era of intelligent manufacturing based on technologies such as artificial intelligence, big data, cloud computing, and the Internet of Things is coming. Intelligent manufacturing technology has become an objective trend in the development of the world's manufacturing industry, and the world's major industrialized countries are vigorously promoting and applying it. The development of intelligent manufacturing not only meets the inherent needs of the development of my country's manufacturing industry, but is also an inevitable choice for reshaping my country's new manufacturing advantages and achieving transformation and upgrading. However, there is no effective intelligent platform for gear design and manufacturing in the prior art. Therefore, it is urgent to use the ideas, technologies, and means of intelligent manufacturing to improve the design and manufacturing efficiency of gears. The intelligent manufacturing method for gears adopted in the present invention solves the limitations of existing gear manufacturing, such as low efficiency, high cost, and difficulty in integrating upstream and downstream. Summary of the invention

[0005] The present invention provides a method for intelligent manufacturing of gears. Due to the difficulty of operating general machine tools, the complex gear manufacturing process, and the lack of good connection between the various processes, the gear processing and manufacturing efficiency is low, and a large amount of manpower and material resources are consumed from design, processing to transportation. Therefore, we use cloud computing technology to simplify the complicated calculations and optimizations in the design and manufacturing process, use the Internet of Things technology to achieve interconnection and online monitoring between manufacturing equipment, and use the Internet and modern logistics technology to improve the efficiency of information communication and product circulation in the design, manufacturing, measurement, and testing process.

[0006] In view of the above technical problems and the purpose of the present invention, this paper proposes a gear intelligent manufacturing method, which includes the following parts:

[0007] (I) Purpose of the invention

[0008] In view of the defects of the prior art, the purpose of the present invention is to provide a method for intelligent manufacturing of gears. Taking into account the rapid development of intelligent manufacturing of gears, big data and cloud computing technologies are introduced. Through the friendly interconnection of various modules of gear processing and manufacturing, researchers of different processes can establish close relationships with customers, and obtain workpiece information and processing data in real time. It is possible to formulate and optimize processing plans, and to coordinate and manage them globally, making gear processing and manufacturing intelligent, convenient, and data-based.

[0009] (II) Technical solution

[0010] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a gear intelligent manufacturing method;

[0011] The present invention provides a gear intelligent manufacturing method, the steps of which are as follows:

[0012] Step A: Calculate gear parameters;

[0013] Step B: Generate machining motion control instructions;

[0014] Step C: measuring gear parameters;

[0015] Step D: Testing gear performance;

[0016] Step E: Manage the gear processing process;

[0017] The specific meaning of "calculating gear parameters" in step A is: using cloud computing technology and optimization methods to replace the complex trial calculations in traditional gear design, providing a good Web-based data input and output interface, and realizing the automation of system design and optimization;

[0018] The "web" mentioned herein specifically means: it is a hypertext-based, global, dynamically interactive, cross-platform distributed graphic information system, which, as a network service, provides a graphical, easy-to-access, intuitive interface for viewers to search and browse information on the network;

[0019] The specific approach of "using cloud computing technology and optimization methods to replace the complex trial calculations in traditional gear design" is as follows: Gear designers use the design calculation module A to perform basic gear parameter design and strength calculation to determine the basic gear parameters that meet the design requirements;

[0020] The "design calculation module A" mentioned herein has the following specific meanings: including a set of web-based user interfaces for data input and output in the design process; including several software modules for basic gear parameter calculation, strength verification calculation, data storage, user verification and authority control, all of which are deployed on the cloud server; the specific method is as follows: the browser interacts with the web interface through the input and output interface, the basic gear parameter information data is transmitted to the cloud server through the network protocol, and the data storage software module located in the cloud server caches the data for use by other modules;

[0021] The "gear basic parameter design and strength calculation" mentioned therein has the following specific meanings: according to the user's specific needs, the gear type, performance, and size constraints are automatically generated for the basic parameter data of the gear; the specific method is as follows: the gear designer enters the basic parameters such as the type, material, number of teeth, module, and gear functional parameters such as gear hardness and bending strength in the Web interface, and the basic parameter data of the gear is automatically strength-checked in the design calculation module according to the rules of the gear design manual;

[0022] The "strength check" mentioned here has the following specific meanings: according to the check methods in the gear design manual and national standards, the gear contact strength check and gear bending strength check are carried out to ensure the quality of the workpiece; the specific method is as follows: a Web interface is generated through software programming, the check methods in the gear design manual and national standards are input into the interface, and the basic parameter data of the gear is input for automatic check;

[0023] The "generating machining motion control instructions" described in step B specifically means: generating the control parameters of the machine tool machining motion based on the input data of the designer and the calculation results of the design calculation module, and correcting and optimizing the control parameters of the machine tool machining motion according to the output data of the subsequent tooth surface measurement and detection module;

[0024] The "generation of control parameters for machine tool processing motion based on the designer's input data and the calculation results of the design calculation module" mentioned therein has the following specific meanings: through the software programming of this method, a set of Web-based user interfaces is generated for data input and output in the machine tool processing parameters and instruction calculations, and also includes software modules for processing parameter calculation, automatic generation of instruction codes, automatic compensation of processing errors, user verification and authority control deployed on the cloud server, and a device client edge module for data interaction and data generation including CNC machining machines and CNC machine tools and cloud server data interaction. The specific approach is as follows: the machine tool operator obtains the data machine tool processing control conditions and parameters on the Web interface, and the instruction code automatic generation software module located on the cloud server automatically generates The G code for CNC machine tool processing is generated. The machine tool operator determines the machine tool motion control parameters or the G code for CNC machine tool processing that meet the processing requirements. The G code is automatically downloaded to the CNC machine tool through the CNC lathe, CNC machining center, CNC slotting machine, CNC gear hobbing machine, CNC gear grinding machine and heat treatment center and other equipment and the cloud server and the equipment client software module for CNC machine tool data communication. At the same time, the lathe starts to move the tool. The functions realized by the instructions include the posture of the robot arm, the moving speed of the tool, and the tool change of the lathe for different production process requirements. The outer circle and end face of the blank are first processed, and then the axial step hole and radial through hole are processed, and the keyway is processed. Then the gear teeth are finely processed. The gears are processed step by step and then carburized and quenched in the heat treatment center to form high-quality gears.

[0025] The "G code" mentioned herein has the following specific meanings: it is the most widely used CNC programming language with multiple versions, mainly used in computer-aided manufacturing to control automatic machine tools as an input instruction form for machine tool processing;

[0026] The specific meaning of "correcting and optimizing the control parameters of the machine tool processing motion according to the output data of the subsequent tooth surface measurement and detection module" is as follows: according to the processing error generated by the gear measurement data in step C, the error compensation is performed by adjusting the G code to form a closed-loop optimization process; the specific method is as follows: the G code of the machine tool processing is stored in the cloud server, and the gear error measured in step C is used through the processing error automatic compensation module in the cloud module to realize the error compensation of the CNC machine tool processing process, thereby improving the subsequent gear workpiece processing accuracy;

[0027] The "measurement of gear parameters" in step C has the following specific meanings: on the Web, the tooth surface geometry measurement and quality inspection are realized based on the input data of the designer and the calculation results of the above-mentioned steps A and B and the motion parameters of the machine tool, and the error data such as the tooth surface machining error is calculated and fed back to the software module in step B;

[0028] The specific meaning of "integrating the input data of the designer and the calculation results of the above-mentioned steps A and B and the machine tool motion parameters in the Web to realize the tooth surface geometry measurement and quality inspection" is as follows: Step C includes a set of Web-based user interfaces for the input and output of gear measurement and inspection data, including software modules for tooth surface geometry measurement, error calculation and accuracy evaluation in the cloud module deployed on the cloud server, including instruments and equipment for measurement and client edge modules for communication between the instruments and equipment and the cloud server. Designers select gear measurement solutions through the interface; the specific steps are as follows: when the gear measurement and inspection personnel obtain the basic parameters and gear type of the current order gear provided by step A through the communication function of the Web and the cloud server, the gear measurement and inspection personnel in the cloud server Error calculation, geometric measurement and accuracy evaluation can provide gear measurement and inspection personnel with measurement guidance on gear parameters such as tooth addendum and tooth pitch by evaluating commonly used gear measurement schemes; when gear measurement and inspection personnel access the Web interface in step C, they can select different gear types such as spur gears, helical gears, and bevel gears in the Web interface, and enter the geometric parameter name of the gear in the Web interface. The software system located in the cloud server will display the measurement method and measurement equipment of the corresponding parameter name on the Web interface, and provide a detailed description of the accuracy range of each measurement equipment; when a certain method and instrument are selected, the software module will transfer the corresponding guidance file in the cloud server to the Web interface, allowing gear measurement and inspection personnel to select the most appropriate measurement method and instrument to measure the gear parameters;

[0029] The "calculation of error data such as tooth surface machining and manufacturing errors, and feedback to the software module in step B" mentioned therein has the following specific meanings: the machining error is the difference between the measured value and the true value, reflecting the comprehensive deviation of the measurement system and the machining system. The machining error value is obtained and the data is uploaded to the cloud platform for backup, which can be used for system optimization and improve machining accuracy and flexibility; the specific method is as follows: after the measurement is completed, the software module for the measurement and detection equipment to communicate with the cloud server uploads the measurement result to the cloud server, and the error calculation software module located in the cloud server corrects the measurement error and calculates the expanded uncertainty of the measurement method and analyzes the change characteristics of the measured parameters, and feeds the error back to step B for machining parameter correction and error compensation; and compares the actual data with the gear theoretical parameter data designed and calculated in step A to check whether there are unqualified measurement units and decide whether to return the gear workpiece to the CNC machine tool for re-processing; in this way, global optimization is achieved and the level of intelligent manufacturing of gears is improved;

[0030] The "testing gear performance" in step D has the following specific meanings: testing and checking the gear meshing performance based on the gear meshing performance testing equipment, and the obtained data can be used for further optimization of step B;

[0031] The "testing and checking of gear meshing performance based on gear meshing performance testing equipment" mentioned therein has the following specific meanings: Step D includes a set of Web-based user interfaces, the input and output of user gear test measurement data, including several software modules for tooth surface contact characteristic testing, transmission error measurement, and vibration noise measurement in the cloud module deployed on the cloud server, including instruments and equipment for test and testing and device client edge modules for communication between the instruments and equipment and the cloud server. Designers conduct gear performance test and finite element analysis comparison through the Web to obtain a gear performance test result report; the specific method is as follows: Step D obtains the basic parameters of the gear designed and calculated in Step A in the cloud server, uses the gear test software module located in the cloud server to simulate the production process and movement process of the gear, and compares the actual results of the gear performance tested on the performance test bench; the simulation takes common gears as an example, and performs data simulation analysis on the heating, cooling, internal stress and organizational phase change of the heat treatment process in a virtual environment, including hardness, metallographic structure, distortion, residual stress and carbon content, to verify the feasibility of the gear manufacturing process;

[0032] The "further optimization of step B" mentioned therein has the following specific meanings: by comparing the simulation results based on the basic parameters of the gear designed in step A with the results of the performance test bench, the gear processing error is further obtained, and the data is uploaded to the cloud platform for optimization of step B on the Web; the specific method is as follows: the data on the changes in the internal temperature field, organizational field and stress field of the workpiece in the simulation results are sent to the cloud server for storage; the stress, strain, transmission error and vibration noise of the gear are tested and measured on the gear test bench, and the test results are transmitted to the cloud server through the client softening module that communicates between the detection equipment and the cloud server, and compared with the simulation results and fed back to step B for optimization of processing parameters;

[0033] Among them, the "management of gear processing flow" described in step E has the following specific meanings: communication and tracking between designers or users and design units or departments, processing and manufacturing units or departments, gear measurement and testing units or departments, and meshing performance testing units or departments, to achieve management and monitoring of the entire cycle of gear intelligent manufacturing;

[0034] The "management and monitoring of the entire cycle of intelligent manufacturing of gears" mentioned therein has the following specific meanings: Step E includes a set of Web-based user interfaces for inputting and outputting gear order information and logistics information, including a cloud module for gear production cycle management located in the cloud server, and including a set of in-plant and out-plant logistics systems; the specific practices are as follows: the management personnel track and supervise the entire cycle of gear manufacturing through step E, send the gear workpieces to various units and departments in the gear manufacturing process through the logistics system, and send the logistics information to the cloud server in real time through the Web for display, so that users and technicians can grasp the logistics dynamics of the workpieces, coordinate the flow of gear products at various nodes and regions in the manufacturing cycle, and record the situation of each link of gear manufacturing in real time; the logistics system uses express delivery to realize the transportation of gear workpieces. If the gear processing department and the gear measurement department or the gear performance testing department are in different workshops of the same company or unit, the gear workpieces are transported by AGV intelligent transport carts to realize the automated transportation of gear workpieces in the manufacturing process and the automated logistics warehousing of finished workpieces;

[0035] Through the above steps, the gear intelligent manufacturing method described in the present invention solves the limitations of the existing gear processing procedures in the manufacturing industry, such as complicated, low efficiency and high cost; the gear processing and manufacturing are divided into different steps to realize real-time interaction of information, and clear design and manufacturing plans and logistics configuration information are formulated for designers, users, and managers, which provides good ideas for the future manufacturing industry and has good practical application value.

[0036] (III) Advantages and innovations

[0037] The present invention has the following innovative features:

[0038] (1) By implementing the gear parameter calculation, strength verification, processing parameter calculation, tooth surface coordinate calculation and measurement, and gear test data management functions in gear design and manufacturing into software modules running on the cloud server, the technical difficulty and complexity of gear design and manufacturing are greatly reduced, and the efficiency and reliability of design and manufacturing are improved;

[0039] (2) Using local client software modules and standardized network communication protocols specifically for various types of gear manufacturing equipment and instruments, intelligent operation and maintenance of equipment and full utilization of resources can be achieved;

[0040] (3) Operations, communications, and data exchanges between personnel, equipment, and personnel are implemented based on standard network communication protocols, which reduces communication costs and improves efficiency;

[0041] (4) Unified cloud server-based software modules facilitate standardization and continuous improvement of gear product quality and process flow;

[0042] (5) Through network communication, cloud computing and other technologies, a full closed loop of the gear intelligent manufacturing process is realized, and the intelligent level of gear manufacturing is improved based on big data and artificial intelligence;

[0043] (6) The method of the present invention is scientific, has good processability, and has broad promotion and application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the overall technical solution of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiment of the present application clearer, the technical solution in the embodiment of the present application will be clearly and completely described below in conjunction with the drawings in the embodiment of the present application. Obviously, the embodiment is a part of the embodiment of the present application, not all of the embodiments. The modules of the embodiment of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0046] Therefore, the following detailed description of the embodiments of the present application provided and illustrated in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0047] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods.

[0048] As shown in the attached figure, the five steps all include a web-based user interface and several cloud modules that implement different functions deployed on the cloud server, and also include a client software module for data communication between the gear manufacturing equipment and the cloud server, called an edge module, wherein the web-based user interface is described and developed by the CSS and HTML5 core language specifications, and secure data communication is performed with the cloud server through the HTTP network protocol. The cloud module located in the cloud server, the cloud server and the edge module are jointly developed and implemented by Python and C language.

[0049] The specific meaning of "CSS" mentioned herein is as follows: it is a computer language used to express the file style of Standard Generalized Markup Language Application or Standard Generalized Markup Language Subset, which can not only modify web pages statically, but also can dynamically format various elements of web pages in conjunction with various scripting languages;

[0050] The specific meaning of "HTML5" is: it is a language description method for building Web content, the next generation standard of the Internet, and a language method for building and presenting Internet content;

[0051] The "Python" mentioned herein specifically means: a simple and effective object-oriented programming language that provides efficient high-level data structures;

[0052] The present invention provides a gear intelligent manufacturing method, the steps of which are as follows: Figure 1 As shown:

[0053] Step A: Calculate gear parameters;

[0054] After the user uploads the order information, the cloud server sends the data to the module in step A, calculates the basic parameters of the gear according to the user's requirements and the standard calculation method in the gear design manual, and returns the data to the cloud server.

[0055] Step B: Generate processing motion control instructions;

[0056] The machine tool operator inputs the control conditions and parameters of gear processing through the calculation results of step A, and realizes gear processing by transmitting data through the communication module of the CNC machine tool and the cloud server based on the intelligent modules such as instruction code generation and automatic compensation of processing errors in step B;

[0057] Step C: measuring gear parameters;

[0058] The gear measurement personnel determine the gear processing error by comparing the calculation results of step C and the previous steps with the measurement values ​​of the gear measurement equipment and return the data to the cloud server to optimize the error correction function of step B;

[0059] Step D: Testing gear performance;

[0060] The test personnel determine the gear meshing performance parameters based on the test results of the gear test platform through the calculation data of step D and the previous steps, and return the data to the cloud server to optimize the processing parameters in step B;

[0061] Step E: Manage the gear processing process;

[0062] The system administrator tracks and supervises the whole cycle of intelligent manufacturing of gears through the software module in step E, and transfers gears between factories or workshops related to each module and users through the logistics system;

[0063] The specific meaning of "calculating gear parameters" in step A is: using cloud computing technology and optimization algorithms to replace the complex trial calculations in traditional gear design, providing a good Web-based data input and output interface, and realizing the automation of system design and optimization;

[0064] The specific method of "using cloud computing technology and optimization algorithms to replace the complex trial calculations in traditional gear design" is as follows: Gear designers perform basic gear parameter design and strength calculation through design calculation step A to determine the basic gear parameters that meet the design requirements;

[0065] The "design calculation module A" mentioned herein has the following specific meanings: including a set of web-based user interfaces for data input and output in the design process; including several software modules for basic gear parameter calculation, strength verification calculation, data storage, user verification and authority control, all of which are deployed on the cloud server. The specific approach is as follows: the browser interacts with the web interface through the input and output interface, the basic gear parameter information data is transmitted to the cloud server through the HTTP network protocol, and the data storage software module located in the cloud server caches the data for use by other modules;

[0066] The "gear basic parameter design and strength calculation" mentioned therein has the following specific meanings: according to the user's specific needs, the gear type, performance, and size constraints are automatically generated for the basic parameter data of the gear; the specific method is as follows: the gear designer enters the basic parameters such as the type, material, number of teeth, module, and gear functional parameters such as gear hardness and bending strength in the Web interface, and the basic parameter data of the gear is automatically strength-checked in the design calculation module according to the rules of the gear design manual;

[0067] The "strength check" mentioned here has the following specific meanings: according to the check method of the gear design manual and national standards, the gear contact strength check and gear bending strength check are carried out to ensure the quality of the workpiece; the specific method is as follows: a web interface is generated through software programming, the check algorithm in the gear design manual and national standards is input into the interface, and the basic parameter data of the gear is input for automatic check;

[0068] The "generating machining motion control instructions" described in step B specifically means: generating the control parameters of the machine tool machining motion based on the input data of the designer and the calculation results of the design calculation module, and correcting and optimizing the control parameters of the machine tool machining motion according to the output data of the subsequent tooth surface measurement and detection module;

[0069] The "control parameters of machine tool processing motion are generated based on the designer's input data and the calculation results of the design calculation module" mentioned therein has the following specific meanings: through algorithmic software programming, a set of Web-based user interfaces are generated for data input and output in machine tool processing parameters and instruction calculations, and also include processing parameter calculations, automatic instruction code generation, automatic processing error compensation, user verification and authority control software modules deployed on the cloud server, including CNC machining machines and device client edge modules for data interaction and data generation between CNC machine tools and cloud servers; the specific approach is as follows: the machine tool operator obtains data machine tool processing control conditions and parameters on the Web interface, and the instruction code automatic generation software module located on the cloud server automatically generates CNC machine tool processing G code, the machine tool operator determines the machine tool motion control parameters or CNC machine tool processing G code that meets the processing requirements, and automatically downloads the G code to the CNC machine tool through the CNC lathe, CNC machining center, CNC slotting machine, CNC gear hobbing machine, CNC gear grinding machine and heat treatment center and other equipment and cloud server and CNC machine tool data communication equipment client software module. At the same time, the lathe starts cutting. The functions realized by the instructions include the posture of the robot arm, the moving speed of the tool, and the tool change of the lathe for different production process requirements. First, the outer circle and end face of the blank are processed, and then the axial step hole and radial through hole are processed, and the keyway is processed. Then, the gear teeth are finely processed. The gears are processed step by step and then carburized and quenched in the heat treatment center to form high-quality gears;

[0070] The "G code" mentioned herein has the following specific meanings: it is the most widely used CNC programming language with multiple versions, mainly used in computer-aided manufacturing to control automatic machine tools as an input instruction form for machine tool processing;

[0071] The specific meaning of "correcting and optimizing the control parameters of the machine tool processing motion according to the output data of the subsequent tooth surface measurement and detection module" is as follows: according to the processing error generated by the gear measurement data in step C, the error compensation is performed by adjusting the G code to form a closed-loop optimization process. The specific method is as follows: the G code of the machine tool processing is stored in the cloud server, and the gear error measured in step C is used through the processing error automatic compensation module in the cloud module to realize the error compensation of the CNC machine tool processing process, thereby improving the subsequent gear workpiece processing accuracy;

[0072] The "measurement of gear parameters" in step C has the following specific meanings: on the Web, the tooth surface geometry measurement and quality inspection are realized based on the input data of the designer and the calculation results of the above-mentioned steps A and B and the motion parameters of the machine tool, and the error data such as the tooth surface machining error is calculated and fed back to the software module in step B;

[0073] The specific meaning of "integrating the input data of the designer and the calculation results of the above-mentioned steps A and B and the machine tool motion parameters in the Web to realize the tooth surface geometry measurement and quality inspection" is as follows: Step C includes a set of Web-based user interfaces for the input and output of gear measurement and inspection data, including software modules for tooth surface geometry measurement, error calculation and accuracy evaluation in the cloud module deployed on the cloud server, including instruments and equipment for measurement and client edge modules for communication between the instruments and equipment and the cloud server. Designers select gear measurement solutions through the interface; the specific steps are as follows: when the gear measurement and inspection personnel obtain the basic parameters and gear type of the current order gear provided by step A through the communication function of the Web and the cloud server, the gear measurement and inspection personnel in the cloud server Error calculation, geometric measurement and accuracy evaluation can provide gear measurement and inspection personnel with measurement guidance on gear parameters such as tooth addendum and tooth pitch by evaluating commonly used gear measurement schemes; when gear measurement and inspection personnel access the Web interface in step C, they can select different gear types such as spur gears, helical gears, and bevel gears in the Web interface, and enter the geometric parameter name of the gear in the Web interface. The software system located in the cloud server will display the measurement method and measurement equipment of the corresponding parameter name on the Web interface, and provide a detailed description of the accuracy range of each measurement equipment; when a certain method and instrument are selected, the software module will transfer the corresponding guidance file in the cloud server to the Web interface, allowing gear measurement and inspection personnel to select the most appropriate measurement method and instrument to measure the gear parameters;

[0074] The specific meaning of "calculating error data such as tooth surface machining and manufacturing errors, and feeding them back to the software module in step B" is as follows: the machining error is the difference between the measured value and the true value, reflecting the comprehensive deviation of the measurement system and the machining system. The machining error value is obtained and the data is uploaded to the cloud platform for backup, which can be used for system optimization and improve machining accuracy and flexibility; the specific method is as follows: after the measurement is completed, the software module for measuring and testing equipment to communicate with the cloud server uploads the measurement results to the cloud server, and the error calculation software module located in the cloud server corrects the measurement error and calculates the expanded uncertainty of the measurement method and analyzes the changing characteristics of the measured parameters, and feeds the error back to step B for machining parameter correction and error compensation. The actual data is compared with the gear theoretical parameter data designed and calculated in step A to check whether there are unqualified measurement units and decide whether to return the gear workpiece to the CNC machine tool for reprocessing; in this way, global optimization is achieved and the level of intelligent manufacturing of gears is improved;

[0075] The "testing gear performance" in step D has the following specific meanings: testing and checking the gear meshing performance based on the gear meshing performance testing equipment, and the obtained data can be used for further optimization of step B;

[0076] The specific meaning of "testing and checking the gear meshing performance based on the gear meshing performance test equipment" is as follows: Step D includes a set of Web-based user interfaces, the input and output of user gear test measurement data, including several software modules for tooth surface contact characteristic testing, transmission error measurement, and vibration noise measurement in the cloud module deployed on the cloud server, including instruments and equipment used for test testing and device client edge modules for communication between the instruments and equipment and the cloud server. Designers conduct gear performance test experiments and finite element analysis comparisons through the Web to obtain a gear performance test result report. The specific method is as follows: Step D obtains the basic parameters of the gear designed and calculated in Step A in the cloud server, uses the gear test software module located in the cloud server to simulate the production process and movement process of the gear, and compares the actual results of the gear performance tested on the performance test bench. The simulation takes common gears as an example, and performs data simulation analysis on the heating, cooling, internal stress and organizational phase change of the heat treatment process in a virtual environment, including hardness, metallographic structure, distortion, residual stress and carbon content, to verify the feasibility of the gear manufacturing process;

[0077] The "further optimization of step B" mentioned therein has the following specific meanings: by comparing the simulation results based on the basic parameters of the gear designed in step A with the results of the performance test bench, the gear processing error is further obtained, and the data is uploaded to the cloud platform for optimization of step B on the Web; the specific method is as follows: the data of changes in the internal temperature field, organizational field and stress field of the workpiece in the simulation results are sent to the cloud server for storage; the stress, strain, transmission error and vibration noise of the gear are tested and measured on the gear test bench, and the test results are transmitted to the cloud server through the client softening module that communicates between the detection equipment and the cloud server, and compared with the simulation results and fed back to module B for optimization of processing parameters;

[0078] Among them, the "management of gear processing flow" described in step E has the following specific meanings: communication and tracking between designers or users and design units or departments, processing and manufacturing units or departments, gear measurement and testing units or departments, and meshing performance testing units or departments, to achieve management and monitoring of the entire cycle of gear intelligent manufacturing;

[0079] The "management and monitoring of the entire cycle of intelligent manufacturing of gears" mentioned therein has the following specific meanings: Step E includes a set of Web-based user interfaces for inputting and outputting gear order information and logistics information, including a cloud module for gear production cycle management located in the cloud server, and including a set of in-plant and out-plant logistics systems; the specific practices are as follows: the management personnel track and supervise the entire cycle of gear manufacturing through step E, send the gear workpieces to various units and departments in the gear manufacturing process through the logistics system, and send the logistics information to the cloud server in real time through the Web for display, so that users and technicians can grasp the logistics dynamics of the workpieces, coordinate the flow of gear products at various nodes and regions in the manufacturing cycle, and record the situation of each link of gear manufacturing in real time; the logistics system uses express delivery to realize the transportation of gear workpieces. If the gear processing department and the gear measurement department or the gear performance testing department are in different workshops of the same company or unit, the gear workpieces are transported by AGV intelligent transport carts to realize the automated transportation of gear workpieces in the manufacturing process and the automated logistics warehousing of finished workpieces;

[0080] The "AGV" mentioned herein has the following specific meanings: AGV is also commonly referred to as an AGV vehicle, which is equipped with an automatic navigation device and can travel along a specified navigation path. It is a transport vehicle with safety protection and various transfer functions;

[0081] Finally, it should be noted that those skilled in the art may make various modifications and variations to the embodiments of the present invention. If these modifications and variations are within the scope of the claims of the present invention and their equivalents, then these modifications and variations are also within the protection scope of the present invention.

Claims

1. A gear intelligent manufacturing method, characterized in that: Here are the steps: Step A: Calculate gear parameters; Step B: Generate machining motion control instructions; Step C: measuring gear parameters; Step D: Testing gear performance; Step E: Manage the gear processing process; Divide gear processing and manufacturing into different steps, realize real-time information interaction, and formulate clear design and manufacturing plans and logistics configuration information for designers, users, and managers; The "calculation of gear parameters" in step A specifically means: using cloud computing technology and optimization methods to replace the complex trial calculations in traditional gear design, providing a good Web-based data input and output interface, and realizing automation of system design and optimization; The specific method of "using cloud computing technology and optimization methods to replace the complex trial calculations in traditional gear design" is as follows: the gear designer uses the design calculation module A to perform basic gear parameter design and strength calculation to determine the basic gear parameters that meet the design requirements; The "design calculation module A" has the following specific meanings: including a set of Web-based user interfaces for data input and output in the design process; including several software modules for basic gear parameter calculation, strength verification calculation, data storage, user verification and authority control, all of which are deployed on the cloud server; the specific method is as follows: the browser interacts with the Web interface through the input and output interface, the basic gear parameter information data is transmitted to the cloud server through the network protocol, and the data storage software module located in the cloud server caches the data for use by other modules; The specific meaning of "gear basic parameter design and strength calculation" is as follows: according to the specific needs of users, the basic parameter data of gears are automatically generated for the constraints of gear type, performance and size; the specific method is as follows: the gear designer enters the basic parameters of gear type, material, number of teeth, module and gear hardness and bending strength gear function parameters in the Web interface, and the basic parameter data of gears are automatically strength checked in the design calculation module according to the rules of the gear design manual; The "testing gear performance" in step D has the following specific meanings: testing and checking the gear meshing performance based on the gear meshing performance testing equipment, and the obtained data can be used for further optimization of step B; Among them, the "testing and checking of gear meshing performance based on gear meshing performance testing equipment" has the following specific meanings: Step D includes a set of Web-based user interfaces, input and output of user gear test measurement data, including software modules for tooth surface contact characteristic testing, transmission error measurement, and vibration noise measurement in the cloud module deployed in the cloud server, including instruments and equipment for test and testing and device client edge modules for communication between the instruments and equipment and the cloud server. Designers conduct gear performance test and finite element analysis comparison through the Web to obtain a gear performance test result report; the specific method is as follows: Step D obtains the basic parameters of the gear designed and calculated in Step A in the cloud server, uses the gear test software module located in the cloud server to simulate the production process and movement process of the gear, and compares the actual results of the gear performance tested on the performance test bench; in a virtual environment, data simulation and analysis are performed on the heating, cooling, internal stress and organizational phase change of the heat treatment process, including hardness, metallographic structure, distortion, residual stress and carbon content, to verify the feasibility of the gear manufacturing process; Among them, the "further optimization of step B" has the following specific meanings: by comparing the simulation results based on the basic parameters of the gear designed in step A with the results of the performance test bench, the gear processing error is further obtained, and the data is uploaded to the cloud platform for optimization of step B on the Web; the specific method is as follows: the data on the changes in the internal temperature field, tissue field and stress field of the workpiece in the simulation results are sent to the cloud server for storage; the stress, strain, transmission error, vibration and noise of the gear are tested and measured on the gear test bench, and the test results are transmitted to the cloud server through the client softening module that communicates between the detection equipment and the cloud server, and compared with the simulation results and fed back to step B for optimization of processing parameters.

2. A gear intelligent manufacturing method according to claim 1, characterized in that: The "generating machining motion control instructions" described in step B specifically means: generating the control parameters of the machine tool machining motion based on the input data of the designer and the calculation results of the design calculation module, and correcting and optimizing the control parameters of the machine tool machining motion according to the output data of the subsequent tooth surface measurement and detection module; Among them, the "generating control parameters of machine tool processing motion based on the designer's input data and the calculation results of the design calculation module" has the following specific meanings: through the software programming of this method, a set of Web-based user interfaces is generated for data input and output in machine tool processing parameters and instruction calculations, and also includes processing parameter calculations, instruction code automatic generation, processing error automatic compensation, user verification and authority control software modules deployed on the cloud server, including CNC machining machines and equipment client edge modules for data interaction and data generation between CNC machine tools and cloud servers; the specific approach is as follows: the machine tool operator obtains data machine tool processing control conditions and parameters on the Web interface, and the instruction code automatic generation software module located on the cloud server automatically generates data. Generate CNC machine tool processing G code, the machine tool operator determines the machine tool motion control parameters and CNC machine tool processing G code that meet the processing requirements, and automatically downloads the G code to the CNC machine tool through the CNC lathe, CNC machining center, CNC slotting machine, CNC gear hobbing machine, CNC gear grinding machine and heat treatment center equipment and cloud server and CNC machine tool data communication equipment client software module. At the same time, the lathe starts cutting. The functions realized by the instructions include the posture of the robot arm, the moving speed of the tool and the tool change of the lathe for different production process requirements. First, the outer circle and end face of the blank are processed, and then the axial step hole and radial through hole are processed, and the keyway is processed. Then, the gear teeth are finely processed. The gears are processed step by step and then carburized and quenched in the heat treatment center to form high-quality gears; Among them, the "correcting and optimizing the control parameters of the machine tool processing motion according to the output data of the subsequent tooth surface measurement and detection module" has the following specific meanings: according to the processing error generated by the gear measurement data in step C, the error compensation is performed by adjusting the G code to form a closed-loop optimization process; the specific method is as follows: the G code for machine tool processing is stored in the cloud server, and the gear error measured in step C is used through the processing error automatic compensation module in the cloud module to realize the error compensation of the CNC machine tool processing process, thereby improving the subsequent gear workpiece processing accuracy.

3. The gear intelligent manufacturing method according to claim 1, characterized in that: The "measurement of gear parameters" in step C has the following specific meanings: in the Web, the tooth surface geometry measurement and quality inspection are realized based on the input data of the designer and the calculation results of the above two steps A and B and the machine tool motion parameters, and the error data of the tooth surface machining error is calculated and fed back to the software module in step B; The specific meaning of "combining the input data of the designer and the calculation results of the above-mentioned steps A and B and the motion parameters of the machine tool to realize the tooth surface geometry measurement and quality inspection in the Web" is as follows: Step C includes a set of Web-based user interfaces for the input and output of gear measurement and inspection data, including software modules for tooth surface geometry measurement, error calculation and accuracy evaluation in the cloud module deployed on the cloud server, including instruments and equipment for measurement and client edge modules for communication between the instruments and equipment and the cloud server. Designers select gear measurement solutions through the interface; the specific steps are as follows: when the gear measurement and inspection personnel obtain the basic parameters and gear type of the current order gear provided by step A through the communication function of the Web and the cloud server, the gear measurement and inspection personnel in the cloud server can obtain the basic parameters and gear type of the current order gear provided by step A through the communication function of the Web and the cloud server. The error calculation, geometric measurement and accuracy evaluation of the device can provide the gear measurement and inspection personnel with the measurement guidance of the gear addendum and pitch parameters by evaluating the commonly used gear measurement schemes; when the gear measurement and inspection personnel access the Web interface in step C, different gear types can be selected in the Web interface, including spur gears, helical gears, and bevel gears, and the geometric parameter names of the gears are entered in the Web interface. The software system located in the cloud server will display the measurement methods and measuring equipment of the corresponding parameter names on the Web interface, and provide a detailed description of the accuracy range of each measuring equipment; when a certain method and instrument are selected, the software module will transfer the corresponding guidance file in the cloud server to the Web interface, allowing the gear measurement and inspection personnel to select the most appropriate measurement method and instrument to measure the gear parameters; Among them, the "calculate the error data of the tooth surface machining and manufacturing error, and feed it back to the software module in step B" has the following specific meanings: the machining error is the difference between the measured value and the true value, reflecting the comprehensive deviation of the measurement system and the machining system. The machining error value is obtained and the data is uploaded to the cloud platform for backup, which can optimize the system and improve the machining accuracy and flexibility; the specific method is as follows: after the measurement is completed, the software module for the measurement and detection equipment to communicate with the cloud server uploads the measurement result to the cloud server, and the error calculation software module located in the cloud server corrects the measurement error and calculates the expanded uncertainty of the measurement method and analyzes the change characteristics of the measured parameters, and feeds the error back to step B for machining parameter correction and error compensation; and compares the actual data with the gear theoretical parameter data designed and calculated in step A to check whether there are unqualified measurement units and decide whether to return the gear workpiece to the CNC machine tool for reprocessing; in this way, global optimization is achieved and the level of intelligent manufacturing of gears is improved.

4. The gear intelligent manufacturing method according to claim 1, characterized in that: The "management of gear processing flow" described in step E has the following specific meanings: communication and tracking between designers and users and design units and departments, processing and manufacturing units and departments, gear measurement and testing units and departments, and meshing performance testing units and departments, to achieve management and monitoring of the entire cycle of gear intelligent manufacturing; Among them, the "management and monitoring of the entire cycle of intelligent gear manufacturing" has the following specific meanings: Step E includes a set of Web-based user interfaces for inputting and outputting gear order information and logistics information, including a cloud module for gear production cycle management located in the cloud server, and including a set of in-plant and out-plant logistics systems; the specific practices are as follows: the management personnel track and supervise the entire cycle of gear manufacturing through step E, send the gear workpieces to various units and departments in the gear manufacturing process through the logistics system, and send the logistics information to the cloud server in real time through the Web for display, so that users and technicians can grasp the logistics dynamics of the workpieces, coordinate the flow of gear products at various nodes and regions in the manufacturing cycle, and record the situation of each link of gear manufacturing in real time; the logistics system uses express delivery to realize the transportation of gear workpieces. If the gear processing department, gear measurement department and gear performance testing department are in different workshops of the same company and unit, the gear workpieces are transported by AGV intelligent transport carts to realize the automated transportation of gear workpieces in the manufacturing process and the automated logistics warehousing of finished workpieces.

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