Intelligent manufacturing method, device and equipment for manipulator forgings

Abstract

The present application is applicable to the technical field of manipulator forgings, and in particular to a method, device and equipment for intelligent manufacturing of manipulator forgings, the method comprising: obtaining design requirement information of manipulator forgings; generating a manipulator forging manufacturing plan data packet according to the design requirement information of the manipulator forgings; generating a manipulator forging inspection plan data packet according to the manipulator forging manufacturing plan data packet and the design requirement information of the manipulator forgings; generating a target manufacturing plan data packet based on the manipulator forging manufacturing plan data packet and the manipulator forging inspection plan data packet; based on the target manufacturing plan data packet, controlling the manufacturing equipment and the inspection equipment to respectively perform the manufacturing operation and the inspection operation of the manipulator forgings. This method not only improves the traceability of the entire manufacturing process, but also optimizes the production process, and improves the quality of forgings and production efficiency.

Description

Technical Field

[0001] The present application belongs to the technical field of robot forgings, and in particular to intelligent manufacturing methods, devices and equipment for robot forgings. Background Art

[0002] Robot forgings are parts or components of robots produced through forging processes. Forgings are usually made by applying pressure at high temperatures to change the shape and structure of metal materials, thereby improving their strength and durability. In industrial applications, robot forgings may include various joints, connecting rods, bases and other parts of the robot. In robotics and automation systems, robot forgings are often used to manufacture high-performance components that can withstand large loads and complex movements.

[0003] In the prior art, the manufacturing process of robot forgings often requires a lot of manual intervention and manual settings, which can easily lead to inefficiency, operational errors, equipment configuration errors and inconsistent quality. When quality problems occur in robot forgings, it is difficult to trace back to specific manufacturing steps or process parameters in the traditional forging manufacturing process, making it difficult to locate the root cause of the problem and affecting the rapid resolution of the problem.

[0004] In summary, in the manufacturing process of robot forgings, there are problems of human error and poor traceability of the entire process. Summary of the invention

[0005] The embodiments of the present application provide a method, device and equipment for intelligent manufacturing of robot forgings, which can solve the problems of human errors and poor traceability of the entire process in the robot forging manufacturing process in the related technology.

[0006] In a first aspect, an embodiment of the present application provides a method for intelligent manufacturing of a manipulator forging, comprising:

[0007] Obtain design requirement information for robot forgings;

[0008] Generate a manufacturing plan data package for the manipulator forging according to the design requirement information of the manipulator forging;

[0009] Generate a manipulator forging inspection plan data package according to the manipulator forging manufacturing plan data package and the manipulator forging design requirement information;

[0010] Generate a target manufacturing solution data package based on the robot forging manufacturing solution data package and the robot forging inspection solution data package;

[0011] Based on the target manufacturing solution data packet, the manufacturing equipment and the detection equipment are controlled to respectively perform the manufacturing operation and the detection operation of the manipulator forging.

[0012] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0013] The intelligent manufacturing method of manipulator forgings provided in the present application first obtains the design requirement information of the manipulator forgings, then generates a manipulator forging manufacturing plan data packet according to the design requirement information of the manipulator forgings, then generates a manipulator forging detection plan data packet according to the manipulator forging manufacturing plan data packet and the design requirement information of the manipulator forgings, and generates a target manufacturing plan data packet based on the manipulator forging manufacturing plan data packet and the manipulator forging detection plan data packet, and finally controls the manufacturing equipment and the detection equipment to respectively perform the manufacturing operation and detection operation of the manipulator forgings based on the target manufacturing plan data packet. The method generates a full-process data packet from the design requirement information to the manufacturing and detection plans, ensures that the operations of each link can be recorded and traced, can improve the transparency and controllability of the manufacturing process, and solves the problem of poor traceability in the traditional process. The method realizes the automation of the manufacturing and detection process through the generation of data packets and the automatic execution of control equipment, reduces manual intervention, and improves production efficiency. The method reduces the dependence on manual labor through automated processes, reduces rework and scrap rates caused by human errors, and thus reduces overall production costs.

[0014] In a second aspect, an embodiment of the present application provides a robot forging intelligent manufacturing device, comprising:

[0015] An acquisition unit, used to acquire design requirement information of the manipulator forging;

[0016] A manufacturing plan generating unit, used for generating a manufacturing plan data package of the manipulator forging according to the design requirement information of the manipulator forging;

[0017] A detection scheme generating unit generates a manipulator forging detection scheme data package according to the manipulator forging manufacturing scheme data package and the design requirement information of the manipulator forging;

[0018] A target solution generating unit, configured to generate a target manufacturing solution data package based on the robot forging manufacturing solution data package and the robot forging inspection solution data package;

[0019] A control unit is used to control the manufacturing equipment and the detection equipment to respectively perform the manufacturing operation and the detection operation of the manipulator forging based on the target manufacturing plan data packet.

[0020] In a third aspect, an embodiment of the present application provides a robot forging intelligent manufacturing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any one of the embodiments of the first aspect when executing the computer program.

[0021] It can be understood that the beneficial effects of the second to third aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 It is a schematic diagram of the process of the intelligent manufacturing method of manipulator forgings provided in one embodiment of the present application;

[0024] Figure 2 It is a schematic diagram of the implementation process of step S200 in the method for intelligent manufacturing of forgings by a manipulator provided in one embodiment of the present application;

[0025] Figure 3 It is a schematic diagram of the implementation process of step S210 in the method for intelligent manufacturing of manipulator forgings provided in one embodiment of the present application;

[0026] Figure 4 It is a schematic diagram of the implementation process of step S220 in the method for intelligent manufacturing of manipulator forgings provided in one embodiment of the present application;

[0027] Figure 5 It is a schematic diagram of the implementation process of step S300 in the method for intelligent manufacturing of manipulator forgings provided in one embodiment of the present application;

[0028] Figure 6 It is a schematic diagram of the implementation process of step S330 in the method for intelligent manufacturing of manipulator forgings provided in one embodiment of the present application;

[0029] Figure 7 It is a schematic diagram of the implementation process of step S500 in the method for intelligent manufacturing of manipulator forgings provided in one embodiment of the present application;

[0030] Figure 8 It is a schematic diagram of the implementation process of step S510 in the method for intelligent manufacturing of manipulator forgings provided in one embodiment of the present application;

[0031] Fig. 9 This is a schematic diagram of a partial implementation process of step S520 in the method for intelligent manufacturing of forgings with a manipulator provided in one embodiment of the present application;

[0032] Fig.10 It is another partial implementation flow diagram of step S520 in the method for intelligent manufacturing of forgings with a manipulator provided in one embodiment of the present application;

[0033] Fig.11 This is a schematic diagram of a portion of the process flow of the intelligent manufacturing method for manipulator forgings provided in one embodiment of the present application;

[0034] Fig.12 It is a structural schematic diagram of a manipulator forging intelligent manufacturing device provided in an embodiment of the present application;

[0035] Fig.13 It is a structural schematic diagram of the manipulator forging intelligent manufacturing equipment provided in the embodiment of the present application. DETAILED DESCRIPTION

[0036] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0037] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0038] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0039] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0040] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0041] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0042] In the related technology, the manufacturing process of robot forgings often requires a lot of manual intervention and manual settings, which easily leads to inefficiency, operational errors, equipment configuration errors and inconsistent quality. When quality problems occur in robot forgings, it is difficult to trace back to specific manufacturing steps or process parameters in the traditional forging manufacturing process, making it difficult to locate the root cause of the problem and affecting the rapid resolution of the problem.

[0043] To solve the above problems, the embodiment of the present application provides a method, device and equipment for intelligent manufacturing of manipulator forgings. In the method, the design requirement information of the manipulator forging is first obtained, and then the manipulator forging manufacturing plan data packet is generated according to the design requirement information of the manipulator forging, and then the manipulator forging detection plan data packet is generated according to the manipulator forging manufacturing plan data packet and the design requirement information of the manipulator forging, and the target manufacturing plan data packet is generated based on the manipulator forging manufacturing plan data packet and the manipulator forging detection plan data packet, and finally based on the target manufacturing plan data packet, the manufacturing equipment and the detection equipment are controlled to perform the manufacturing operation and detection operation of the manipulator forging respectively. The method generates a full process data packet from the design requirement information to the manufacturing and detection plan, which ensures that the operation of each link can be recorded and traced, can improve the transparency and controllability of the manufacturing process, and solves the problem of poor traceability in the traditional process. The method realizes the automation of the manufacturing and detection process through the generation of data packets and the automatic execution of the control equipment, reduces manual intervention, and improves production efficiency. The method reduces the dependence on manual labor through the automated process, reduces the rework and scrap rate caused by human errors, and thus reduces the overall production cost.

[0044] The intelligent manufacturing method for manipulator forgings provided in the embodiment of the present application can be applied to intelligent manufacturing equipment for manipulator forgings. At this time, the intelligent manufacturing equipment for manipulator forgings is the executor of the intelligent manufacturing method for manipulator forgings provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of intelligent manufacturing equipment for manipulator forgings.

[0045] Exemplarily, the robot forging intelligent manufacturing equipment may include a manufacturing device, a testing device, a display device, and a control device that is communicatively connected to the manufacturing device, the testing device, and the display device. Manufacturing equipment is equipment that can manufacture finished robot forgings, such as forging machines, heat treatment furnaces, CNC machine tools, etc.; testing equipment is equipment that can perform quality inspection on finished robot forgings and inspect each manufacturing process in the manufacturing process, such as three-coordinate measuring machines (CMM), ultrasonic flaw detectors, hardness testers, etc.; display equipment is equipment that can display the manufacturing plan and inspection plan of robot forgings, such as human-machine interface (HMI), industrial tablet computers, CNC displays, etc.; control devices are devices that can perform data processing and control manufacturing equipment, inspection equipment, and display equipment, such as stations (STAION, ST) in WLAN, tablet computers, laptop computers, ultra-mobile personal computers (ultra-mobile personal computers, UMPC), netbooks, personal digital assistants (personal digital assistants, PDAs), desktop computers, smart large screens, smart TVs, handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, computers, laptop computers, handheld communication devices, handheld computing devices, satellite wireless devices, customer premise equipment (customer premise equipment) equipment, CPE) and / or other equipment for communicating on wireless systems and next-generation communication systems, for example, mobile terminals in 5G networks or mobile terminals in future evolved public land mobile networks (Public Land Mobile Network, PLMN), etc.

[0046] In order to better understand the intelligent manufacturing method for manipulator forgings provided in the embodiment of the present application, the specific implementation process of the intelligent manufacturing method for manipulator forgings provided in the embodiment of the present application is exemplarily introduced below.

[0047] Figure 1 A schematic flow chart of a method for intelligent manufacturing of manipulator forgings provided in an embodiment of the present application is shown, and the method for intelligent manufacturing of manipulator forgings includes:

[0048] S100, obtaining design requirement information of robot forgings.

[0049] It can be understood that the design requirement information of the manipulator forging may include design specifications and dimensions, material requirements, functional requirements, accuracy requirements, acceptance criteria, etc.

[0050] Design specifications and dimensions may include the overall dimensions of the robot forgings, the length, width, height and shape tolerances of the forgings; forging weight requirements, forging quality range; forging geometry, such as round, square, special-shaped, etc., and its related tolerance requirements; forging surface roughness, the surface finish required by the design, which may include different roughness standards for different areas.

[0051] Material requirements may include material grade and standard, specifying the brand of the material and the standard it complies with; chemical composition, with specific requirements on the chemical composition of the material, such as the content range of carbon, nickel, chromium, etc.; mechanical properties, such as tensile strength, yield strength, elongation, etc.

[0052] Functional requirements may include load-bearing capacity, the load or force that the forging needs to withstand during use; wear resistance, the requirements for tolerance to wear; corrosion resistance: the rust and corrosion resistance of the forging.

[0053] Accuracy requirements may include dimensional accuracy, allowable dimensional tolerance range; shape accuracy, such as straightness, roundness, parallelism, etc.

[0054] Acceptance criteria may include qualification criteria, setting specific standards or specifications that must be met for the finished robot forging to be considered qualified.

[0055] For example, the user can input the design requirements of the robot forging through the display device or the human-computer interaction interface, and the system analyzes the design requirements of the robot forging to provide a basis for subsequent data processing.

[0056] S200, generating a robot forging manufacturing plan data package according to the design requirement information of the robot forging.

[0057] For example, the required material type and specifications can be determined according to the design requirements. For example, a specific grade of steel or aluminum alloy is selected. The chemical composition analysis and mechanical property test of the material are performed before manufacturing to ensure that the material meets the design standards.

[0058] The temperature range at each stage of the forging process can be determined to ensure the machinability and final performance of the material. According to the size and complexity of the forging, the appropriate forging equipment (such as hydraulic press or forging hammer) is selected. The forging process is designed to determine the direction and force of each forging to avoid cracks or other defects. The method of cooling after forging, such as air cooling, water cooling or oil cooling, is determined to ensure that the material structure and performance meet the requirements.

[0059] According to the design requirements, the heat treatment process can be formulated, including quenching, tempering or annealing steps. The heating and holding temperatures and times of each stage are specified to ensure that the required mechanical properties are achieved. Suitable heat treatment equipment, such as resistance furnaces or induction furnaces, is selected to ensure temperature uniformity and process stability.

[0060] According to the shape and precision requirements of the forgings, suitable CNC machine tools, lathes, milling machines and other equipment can be selected. The sequence of processing procedures is formulated, from rough processing to fine processing, gradually achieving the designed size and shape. The cutting parameters (such as speed, feed rate, cutting depth) of each process are determined to ensure processing accuracy. If special fixtures are required, design and manufacture fixtures for fixing forgings to improve processing stability.

[0061] According to the use environment of the forging, you can choose the appropriate surface treatment process, such as spraying, electroplating or oxidation treatment. Formulate surface treatment parameters, such as coating thickness, electroplating time, oxidation time, etc. Formulate quality inspection standards after surface treatment, such as adhesion test, corrosion resistance test, etc.

[0062] Record the process parameters of each manufacturing step as a basis for quality traceability. Clarify the technicians and their responsibilities required for each process to ensure that each link is operated by qualified personnel. Rationally allocate production resources, including equipment, materials and tooling, to ensure the smooth implementation of the production plan. Contingency plans can be formulated for emergencies such as equipment failure and quality problems to ensure the continuity of production.

[0063] The robot forging manufacturing solution data package generated through this step will cover the detailed planning of the entire production process, ensuring that each link is executed in accordance with the design requirements and ultimately producing robot forgings that meet quality standards.

[0064] In one possible implementation, see Figure 2 , S200, generates a robot forging manufacturing plan data package according to the design requirement information of the robot forging, including:

[0065] S210, generating a three-dimensional model of the robot forging according to the design requirement information of the robot forging.

[0066] For example, you can choose a suitable 3D modeling software, such as SolidWorks, AutoCAD, CATIA or other applicable tools. Use the sketch function to draw the basic geometric shape of the forging, generate 3D entities through operations such as stretching, rotating, sweeping, etc., add features such as holes, chamfers, fillets, grooves, etc., ensure that the model meets the design requirements, assign appropriate material properties in the model, ensure the accuracy of simulation analysis and subsequent process design, apply dimensional tolerances and geometric tolerances, and ensure that the model details are consistent with the design requirements. Use model checking tools to verify geometric accuracy, ensure there is no interference or error, and export the 3D model to a standard format (such as STEP, IGES, STL) for subsequent use.

[0067] Optionally, see Figure 3, S210, generating a three-dimensional model of the manipulator forging according to the design requirement information of the manipulator forging, including:

[0068] S211, according to the design requirement information of the manipulator forging, select the manufacturing material of the manipulator forging from the forging material library to obtain the manufacturing material information. The forging material library is established based on collecting materials related to the manipulator forging, and the manufacturing material information includes the material properties of the manufacturing material of the manipulator forging.

[0069] It can be understood that the forging material library can include a variety of materials suitable for robot forgings, including steel, aluminum alloy, titanium alloy, etc., and each material is accompanied by detailed material property data, such as density, elastic modulus, yield strength, thermal conductivity, fatigue resistance, etc.

[0070] For example, according to the design requirement information, several candidate materials that meet the requirements are screened from the forging material library, and the performance parameters, cost and processing difficulty of these materials are compared to select the most suitable material as the manufacturing material, and the selected material information is recorded, including its physical, mechanical and chemical properties. All the properties of the selected materials are organized into a manufacturing material information document for subsequent 3D modeling and optimization.

[0071] S212, generating a first forging three-dimensional model according to the design requirement information and manufacturing material information of the robot forging.

[0072] For example, CAD software suitable for automated modeling can be used, such as SolidWorks, AutoCAD, CATIA, or other modeling software that supports API, scripting, or macro functions. Configure the automation tools or plug-ins in the software to ensure that the 3D model can be automatically generated based on the input parameters. Write or use existing scripts / macros to automatically generate 3D models. The scripts / macros can read the input design requirement information and material information, automatically generate basic geometric shapes (such as stretching, rotation, sweeping, etc.), and add key features (such as holes, slots, chamfers, fillets, etc.). Run the script or macro to automatically generate a 3D model of the first forging.

[0073] The input material properties are applied to the generated 3D model of the first forging so that the model not only has the correct geometry but also reflects the physical properties of the actual material. The software checks whether the model meets the input design requirements, such as whether the dimensions are correct and whether the material properties are correctly applied. The generated 3D model of the first forging is saved to the local file of the software. If needed, the model can be exported to a common file format (such as STEP, IGES, STL) for subsequent manufacturing and analysis.

[0074] S213, based on the material properties of the manufacturing material of the manipulator forging, geometric optimization and topological optimization are performed on the first forging three-dimensional model to obtain a second forging three-dimensional model.

[0075] For example, the geometry of the first forging 3D model can be optimized according to the characteristics of the manufacturing material and design requirements to reduce unnecessary volume and reduce material waste. The finite element analysis (FEA) tool is used to perform stress analysis on the first model and optimize the shape to reduce stress concentration areas and improve structural strength.

[0076] According to the material properties and design requirements, set the goal of topology optimization (such as minimizing weight, maximizing stiffness, etc.). CAE software (such as ANSYS, Abaqus, etc.) can be used to perform topology optimization on the model, adjust the internal material distribution, and form a more reasonable structure. According to the results of topology optimization, generate the optimized three-dimensional model of the second forging.

[0077] S214, performing model verification on the second forging three-dimensional model to obtain a verification result.

[0078] For example, you can perform strength analysis on the optimized model to verify whether it can withstand the design load. Evaluate the performance of the model in long-term use and check possible fatigue points and stress concentration areas. Ensure that the functionality (such as connectivity and activity) of the optimized model in actual use meets the design requirements. Record problems found during the verification process and optimization suggestions.

[0079] S215, adjusting the second forging three-dimensional model according to the verification result to obtain the manipulator forging three-dimensional model.

[0080] For example, the model can be further adjusted based on the feedback from the verification results to ensure that all performance indicators meet the design requirements. The parameters of the second model, such as thickness, radius, etc., are adjusted to ensure that the final version of the model has the best performance and manufacturing feasibility. After all adjustments are completed, the final 3D model that meets the design requirements is generated, and the final robot forging 3D model is exported to a standard format (such as STEP, IGES, STL) for manufacturing and further process design.

[0081] Through the above steps, an optimized and verified 3D model of the robot forging can be obtained to ensure that it can meet all design requirements in actual manufacturing and use.

[0082] S220, generating a manufacturing process data package according to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging.

[0083] Exemplarily, according to the design requirements and the three-dimensional model, the required manufacturing process is analyzed and determined, including steps such as forging, machining, and heat treatment. Equipment required for the manufacturing process is identified, such as forging machines, CNC machine tools, heat treatment furnaces, etc. Based on the analysis results, the order of steps in the manufacturing process is determined.

[0084] The forging process can be designed and optimized, including preliminary heating, forging, forming and cooling. Detailed steps for finishing, such as turning, milling, drilling, etc., can be formulated to ensure that the processed parts reach the final design dimensions. Process parameters for heat treatment, such as quenching temperature, holding time and cooling method, can be determined to optimize material properties. Detailed process parameters are set for each manufacturing step, including temperature, pressure, cutting speed, feed rate, etc.

[0085] A detailed process flow chart can be drawn to show the sequence of each process step and the corresponding process parameters. A detailed process specification is written to describe each manufacturing step, the required equipment, tools and fixtures, and critical control points. A quality control plan is developed for each step in the process to ensure that problems can be discovered and corrected in a timely manner during the manufacturing process.

[0086] Optionally, see Figure 4 , S220, generates a manufacturing process data package based on the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging, including:

[0087] S221, determining the forging process of the manipulator forging according to the manufacturing material information and the three-dimensional model of the manipulator forging, and obtaining forging process information, wherein the forging process information includes forging parameters, forging die model, and forging steps.

[0088] It can be understood that the forging process information may include forging parameters, such as forging temperature, forging pressure, forging speed and other detailed parameters; forging die model, three-dimensional model drawing of the die, such as parting surface, die material and heat treatment information; forging steps, detailed description of pre-forging, fine forging, cooling and correction steps.

[0089] For example, the flow stress of the material at different temperatures can be analyzed to determine the pressure required for forging; the optimal forging temperature range of the material can be determined based on the material properties, which can be above the recrystallization temperature of the material; and the ductility and toughness of the material can be analyzed, which will affect the deformation amount and process parameters during the forging process.

[0090] The geometry of the 3D model can be analyzed to determine the geometric complexity of the forging, such as whether there are complex cavities, thin-walled parts, etc., which affect the die design and forging process; clarify the dimensional requirements of the forging, including tolerances and surface quality requirements; identify key features that require special attention in the 3D model of the forging, such as holes, grooves, depressions, etc.

[0091] The forging temperature range can be selected to suit the material, for example, for steel, the forging temperature is usually between 1100°C and 1250°C. The required forging pressure is determined based on the material's flow stress and the shape of the forging. The forging speed is determined to ensure uniform material flow and avoid cracks or other defects.

[0092] The geometry of the forging die is designed based on the 3D model of the forging, taking into account material flow, parting surface location, and die draft angle. High temperature and wear resistant die materials, such as H13 tool steel, can be selected to ensure die life and forging quality.

[0093] The basic forging steps can be adjusted and formulated, for example, initial forging, determine the initial forming steps, heat the material and perform initial forming; fine forging, precise forming, ensure that the size and shape of the forging meet the design requirements; cooling, determine the cooling method, such as air cooling, water cooling or oil cooling, to control the cooling rate of the forging.

[0094] The 3D model of the forging can be used to simulate the forging process using finite element analysis (FEA) tools to verify material fluidity, stress distribution, and possible defect areas. Based on the simulation results, the forging parameters and die design can be adjusted to ensure that the expected results can be achieved in actual production.

[0095] S222, according to the manufacturing material information and the three-dimensional model of the manipulator forging, determine the heat treatment process of the manipulator forging and obtain heat treatment process information, wherein the heat treatment process information includes heat treatment type, heat treatment process steps, and heat treatment process parameters.

[0096] It can be understood that the heat treatment process information may include: heat treatment type, specifying the type of heat treatment adopted (such as quenching, tempering, annealing, etc.); heat treatment process steps, describing each heat treatment step in detail, including heating, insulation, cooling and other operation details; heat treatment process parameters, specific parameters such as temperature, time, cooling method, etc. of each stage.

[0097] For example, the critical phase transition temperature of the material (such as austenitization temperature and martensite transformation temperature) is analyzed based on the material properties, which is the basis for the heat treatment process design. The final required hardness range can be determined based on the material properties and design requirements. The toughness and ductility of the material after heat treatment can be evaluated to ensure that the design requirements are met.

[0098] Analyze the 3D model of the robot forging. Complex geometry may lead to uneven temperature distribution during heat treatment, and special attention can be paid to the choice of heat treatment method. The size and thickness of the forging will affect the heat treatment time and cooling rate. Thicker parts may require different treatment methods.

[0099] The type of heat treatment can be selected based on the material analysis results and model analysis results, for example, quenching is used to increase the hardness of the material by transforming austenite into martensite through rapid cooling; tempering is performed after quenching to reduce the brittleness of the material and adjust the hardness and toughness; annealing is used to reduce the hardness and improve the machinability of the material by softening the material through slow cooling; normalizing is to heat the material to a certain temperature and then cool it in air to refine the grain structure and improve toughness; surface hardening treatments such as carburizing and nitriding are used to increase the surface hardness and maintain internal toughness.

[0100] Based on the material analysis results and model analysis results, the heat treatment process steps, such as heating, insulation, and cooling, can be formulated. Heating step: Set the appropriate heating temperature according to the phase change temperature of the material. For example, the quenching temperature of steel is usually between 800°C and 900°C. Determine the heating time according to the size and material properties of the forging to ensure uniform temperature inside and on the surface of the material. Control the heating rate to avoid thermal stress caused by too fast heating. Insulation step: Set the appropriate insulation time according to the material and process requirements to ensure sufficient phase change of the material. For example, the insulation time for austenitization is usually 10 to 30 minutes. Ensure that the entire forging is heated evenly, and perform multiple temperature measurements and adjustments if necessary. Cooling step: Select a suitable cooling medium, such as water, oil, air, or salt bath, and determine the cooling rate. For example, quenching usually uses water or oil, while annealing is usually slowly cooled in air. Control the cooling rate according to the material requirements to ensure that the final microstructure and mechanical properties meet the design requirements. Subsequent surface treatment or correction can also be performed to reduce deformation or surface oxidation caused by heat treatment.

[0101] Specify the specific temperature settings in each heat treatment step, such as heating temperature, holding temperature and cooling start temperature. Set the time periods for heating, holding and cooling to ensure the heat treatment effect. Select the appropriate cooling medium and cooling rate according to the material and design requirements.

[0102] The three-dimensional model of the robot forging can be used to simulate the heat treatment process using CAE software, analyze the temperature distribution, stress strain and phase change process, and verify the feasibility of the process design.

[0103] S223, according to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging, determine the machining of the manipulator forging to obtain machining information, wherein the machining information includes machining steps, machining paths, and machining parameters.

[0104] It can be understood that the machining information may include machining steps, a detailed description of each machining operation, including the specific steps of rough machining, finishing and post-processing; machining path, the path and feed speed of the tool in the three-dimensional model; machining parameters, cutting speed, feed speed, cutting depth.

[0105] For example, based on the design requirement information of the robot forging, the dimensional tolerance requirements of the forging can be clarified to ensure that the dimensions after machining meet the design specifications; determine quality requirements such as surface roughness and smoothness, which affect the cutting method and process during machining; understand the functional requirements of the forging, such as whether internal holes, slots, threads, etc. need to be processed.

[0106] The robot forging 3D model can be analyzed to check the geometry of the forging 3D model, including complex contours, concave and convex shapes, holes, etc.; identify areas that need to be machined, such as surfaces and structures that need to be finished; determine key geometric features in the 3D model, such as hole positions, bosses, cuts, etc., which affect the specific operations of machining.

[0107] According to the analysis results, the machining steps are formulated: rough machining, removing most of the excess material and forming the basic outline; fine machining, high-precision machining, achieving the design requirements of size and surface quality; post-processing, removing burrs and excess material generated during the machining process, ensuring a smooth surface, cleaning the forging surface, and removing chips and oil stains generated during the machining process.

[0108] You can set the cutting speed, feed rate and cutting depth for roughing; set the cutting speed, feed rate and cutting depth for finishing to ensure surface quality and dimensional tolerance.

[0109] Based on the 3D model, machining steps and machining parameters, write the machining program, including tool path, cutting speed, feed speed and other parameters. Determine the machining sequence to avoid deformation of the workpiece or tool interference during the machining process.

[0110] The three-dimensional model of the robot forging can be used to simulate the machining process using CAM software to verify the rationality of the machining path and parameter settings.

[0111] S224, determining the surface treatment process of the manipulator forging according to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging, and obtaining surface treatment process information, wherein the surface treatment process information includes surface treatment process steps and surface treatment process parameters.

[0112] It can be understood that the surface treatment process information may include: surface treatment process steps, such as detailed steps of cleaning, processing, and testing; surface treatment process parameters, such as processing medium, time, temperature, and other parameters.

[0113] For example, the design requirements of the robot forgings are analyzed to determine the required surface roughness, finish, etc. If the forgings need to resist corrosion, the required corrosion protection level is determined. According to the design requirements, it is determined whether the wear resistance needs to be increased and whether the surface needs to be aesthetically treated, such as spraying, polishing, etc.

[0114] Analyze the 3D model of the robot forging and check the geometry of the model, especially the complex contours and details, to select the appropriate surface treatment method and identify areas that require special treatment, such as holes, grooves, edges, etc.

[0115] Based on the analysis results, the surface treatment process steps can be formulated. For example, surface cleaning, removes impurities such as scale, oil and other impurities on the surface of the forging. Surface treatment, performs the required surface treatment, such as electroplating, spraying, polishing, etc. Surface inspection, after treatment, the surface quality is inspected to ensure that it meets the requirements.

[0116] Set surface treatment process parameters, treatment medium, select suitable electroplating solution, coating, hardening medium, etc.; treatment time, set the treatment time to ensure the expected effect; temperature control, control the treatment temperature according to process requirements.

[0117] S225, integrating the forging process information, the heat treatment process information, the machining information and the surface treatment process information to obtain a manufacturing process data package.

[0118] For example, forging process information, heat treatment process information, machining information, and surface treatment process information can be integrated into a complete manufacturing process data package. The data package is formatted into a standard document containing all process steps, parameters, paths, and models, and stored in an appropriate database for reference and use in the manufacturing process. The version number of the data package can be set and the modification history can be recorded to ensure that the latest process information is used in the manufacturing process.

[0119] Through the above steps, the manufacturing process data package will cover all manufacturing and processing steps of the robot forging, providing a basis for the subsequent manufacturing of the robot forging finished product.

[0120] S230, integrating the three-dimensional model of the manipulator forging and the manufacturing process data package to obtain a manipulator forging manufacturing solution data package.

[0121] For example, CAE (Computer Aided Engineering) tools can be used to simulate the process of the 3D model, such as forging simulation, heat treatment simulation, etc., to verify the feasibility of the process. According to the simulation results, the manufacturing process parameters are adjusted or the 3D model is modified to ensure the best effect in the production process.

[0122] Integrate the 3D model with the manufacturing process data package to form a complete manufacturing solution data package. This data package may include: 3D model files of manipulator forgings, providing 3D model files in standard formats for use by manufacturing and testing departments; manufacturing process files, including process flow charts, process instructions, quality control plans, etc.; simulation reports, detailed reports of process simulation and verification, showing the feasibility of the process and optimization suggestions; version control and archiving, setting version numbers for the manufacturing solution data package and archiving it to ensure the latest solution is used in the production process.

[0123] Through the above steps, the final robot forging manufacturing solution data package will comprehensively consider the design requirements, 3D models and manufacturing processes to ensure the efficiency, accuracy and quality of the manufacturing process.

[0124] S300, generating a robot forging inspection plan data package according to the robot forging manufacturing plan data package and the robot forging design requirement information.

[0125] Exemplarily, the inspection items of robot forgings may include: geometric dimension inspection, according to the design requirements, determine the key dimensions that need to be inspected (such as length, width, height, aperture, etc.) to ensure that the dimensional accuracy of the forgings meets the design tolerance; shape and position tolerance inspection, determine the shape and position tolerance items, such as flatness, roundness, parallelism, verticality, etc.; material composition inspection: according to the material requirements, the chemical composition of the forgings is analyzed to confirm that it meets the specified material standards; mechanical property inspection, determine the mechanical properties that need to be inspected, such as hardness, tensile strength, yield strength, etc.; surface quality inspection, check whether there are cracks, scratches, pits and other defects on the surface of the forgings, and inspect the surface roughness.

[0126] The selection of testing equipment and tools may include: three-dimensional coordinate measuring machine (CMM), which is used for high-precision testing of geometric dimensions and shape tolerances to ensure that the shape and position of forgings meet the design requirements; spectrum analyzer, which is used for material composition testing to ensure that the materials used in forgings meet the chemical composition standards; hardness tester, which is used to test the surface hardness of forgings to ensure that their mechanical properties meet the design requirements; ultrasonic flaw detector, which is used for internal defect detection to identify whether there are cracks, pores and other hidden dangers inside the forgings; magnetic particle flaw detector, which is used for surface defect detection, especially the detection of surface cracks; X-ray detector, which is used for non-destructive testing to further ensure the integrity of the internal structure of forgings.

[0127] The inspection process may include: formulating the inspection sequence, starting with material composition inspection, and then inspecting the size, shape, mechanical properties, surface and internal defects in turn. Reasonably arrange the inspection stations to ensure the smooth inspection process and reduce the moving time of forgings between different inspection equipment. Determine the sampling inspection frequency of each batch of forgings or whether to conduct a full inspection based on the production batch and requirements. Inspection standards and judgment basis may include: formulating inspection judgment standards, such as specific dimensional tolerance ranges and geometric tolerance limits. Clarify the inspection standards for material composition and mechanical properties, and make qualified judgments based on industry or enterprise standards. Clarify the allowable range of surface defects (such as cracks and scratches) and the inspection standards for surface roughness. According to the results of non-destructive testing, formulate the judgment standards for internal defects (such as pores and inclusions).

[0128] Integrate the robot forging inspection items, inspection equipment and tools, inspection process, inspection standards and judgment basis to generate a robot forging inspection plan data package. A detection data storage system can be established to ensure that the inspection data can be traced, which is convenient for quality control and subsequent analysis.

[0129] The robot forging inspection program data package generated by this step will contain a comprehensive inspection plan to ensure that the quality of each forging meets the design requirements and provide traceable inspection records to provide a basis for subsequent quality management and improvement.

[0130] In one possible implementation, see Figure 5 , S300, generating a robot forging inspection plan data package according to the robot forging manufacturing plan data package and the robot forging design requirement information, including:

[0131] S310, obtaining basic inspection step information, wherein the basic inspection step information includes the finished product basic inspection steps for the finished product of the manipulator forging.

[0132] It can be understood that the basic inspection steps may include: dimensional inspection, using calipers, micrometers, three-coordinate measuring machines and other tools to detect the key dimensions of forgings to ensure that they meet the design specifications; surface inspection, checking whether there are scratches, dents, oxide layers or other surface defects on the surface of forgings; hardness inspection, using a hardness tester to detect the surface hardness of forgings to ensure that the heat treatment of the material meets the design requirements; crack detection, using non-destructive inspection techniques such as magnetic particle inspection, penetrant inspection or ultrasonic inspection to find possible cracks or internal defects in forgings; chemical composition analysis, using spectral analysis and other methods to detect the chemical composition of the material to ensure that the materials used meet the specifications.

[0133] For example, you can refer to industry standards and specifications related to robot forgings (such as ISO, ASME, etc.), which provide common inspection methods and procedures. Within the enterprise, you can refer to the established quality control standards and processes to understand the existing basic inspection steps. You can refer to the inspection process of other similar products within the company as a starting point for the basic inspection steps.

[0134] S320, adjusting and optimizing the basic inspection steps of the finished product according to the design requirement information and basic inspection step information of the manipulator forging, and generating a first inspection plan data package.

[0135] Exemplarily, the basic inspection steps can be optimized and adjusted according to the structural and functional requirements of the forgings. For example, forgings with complex shapes may need to adjust the inspection order to ensure that all key parts can be accurately inspected. You can consider using new inspection technologies or equipment (such as 3D scanning, non-destructive testing) to improve inspection accuracy or efficiency; delete redundant inspection steps that have little impact on the final quality and simplify the inspection process; strengthen inspections on key dimensions or key performance to ensure that these indicators meet design requirements. According to the adjusted inspection steps, modify the inspection equipment and tools corresponding to the inspection steps, such as three-coordinate measuring machines, ultrasonic flaw detectors, hardness testers, etc.

[0136] Record the adjusted inspection steps, including specific operation methods, operation sequence and inspection equipment. Set specific parameters for each inspection step, such as measurement accuracy, environmental conditions, inspection speed, etc., and clarify the qualified standards for each inspection item, such as dimensional deviation range, surface roughness limit, etc.

[0137] S330, generating a robot forging inspection solution data package according to the manufacturing process data package and the first inspection solution data package in the robot forging manufacturing solution data package.

[0138] For example, the key processes in the manufacturing process and the factors that may affect the quality (such as deformation caused by heat treatment and surface quality after machining) can be analyzed to identify the quality control points of the key steps in the manufacturing process.

[0139] Combine the optimized test steps with the information in the manufacturing process data package to form a comprehensive test plan. Determine the frequency of testing, such as full inspection, random inspection, etc., based on production batches or customer requirements. Integrate all test steps, equipment parameters, quality standards and other information into a complete test plan data package, and format the test plan data package into a standard document for use by production and quality control departments.

[0140] Through these steps, a detailed and optimized robot forging inspection solution data package can be obtained, which can ensure that all quality control inspections during the manufacturing process and the finished product stage are effectively performed to ensure the quality and reliability of the final product.

[0141] Optionally, see Figure 6 S330, generating a manipulator forging inspection solution data package according to the manufacturing process data package and the first inspection solution data package in the manipulator forging manufacturing solution data package, including:

[0142] S331, analyze each manufacturing process in the manufacturing process data package in the robot forging manufacturing solution data package and identify the key steps to obtain key step information; according to the key step information, adjust and optimize the finished product inspection steps in the first inspection solution data package to generate a second inspection solution data package. The key step information is used to characterize the steps that affect the quality of the finished product in the manufacturing process of the robot forging.

[0143] Exemplarily, the key step information in the forging process is analyzed and extracted, including the time for heating the material to the appropriate temperature, the stage of forging using a specific pressure, and the node for cooling rate control; the key step information in the heat treatment process is analyzed and extracted, including the precise holding time and temperature, and the selection of cooling media in the quenching or tempering stage; the key step information in the machining process is analyzed and extracted, including the machining path and speed in the finishing stage, and the tool change time point; the key step information in the surface treatment process is analyzed and extracted, including the coating thickness control stage, drying or curing time, and any necessary post-processing steps (such as polishing or cleaning).

[0144] Based on the key step information, focus on testing areas and features that may affect the quality of the finished product during the manufacturing process. For quality issues that may be caused by key steps (such as heat treatment deformation or surface coating defects), increase the relevant inspection frequency or refine the inspection method. If some inspections are not important in the key step information, consider simplifying or deleting them to concentrate resources on high-risk areas. Optimize relevant inspection parameters based on key steps, such as improving accuracy, adjusting inspection frequency, etc. Rearrange the inspection order to ensure that the inspection of key areas and features is completed first.

[0145] S332, determining the detection step corresponding to each manufacturing process in the manufacturing process data package, and obtaining online detection step information, wherein the online detection step information includes the detection step corresponding to each manufacturing process in the manufacturing process data package.

[0146] Exemplarily, each manufacturing process in the manufacturing process data package can be analyzed to determine the online detection requirements. The online detection steps of the forging process can include real-time temperature monitoring, pressure sensor data acquisition, and die wear monitoring. The online detection steps of the heat treatment process can include temperature distribution monitoring, cooling rate recording, and online evaluation of material hardness (such as through non-destructive testing). The online detection steps of the machining process can include real-time monitoring of dimensional deviations during processing (such as through laser ranging) and online measurement of surface roughness. The online detection steps of the surface treatment process can include online measurement of coating thickness and temperature and time monitoring of the curing process.

[0147] The online inspection step information may include the corresponding inspection steps of each manufacturing process as well as the online inspection equipment to be used, sensor type, inspection frequency and key parameters.

[0148] S333, integrating the second detection scheme data package and the online detection step information to obtain a robot forging detection scheme data package.

[0149] For example, the online inspection steps can be integrated to form a preliminary real-time quality control inspection process, combined with the finished product inspection steps in the second inspection scheme to ensure that the final finished product undergoes strict quality inspection before leaving the factory. Ensure that the key links in the entire production process are inspected and monitored, thereby reducing the occurrence of quality problems.

[0150] The integrated inspection plan data package (robot forging inspection plan data package) is formatted into a standard document. The robot forging inspection plan data package may include: complete inspection steps, the complete process of online inspection and finished product inspection; equipment list and parameters, detailing the required inspection equipment, sensors and parameter settings; quality standards, defining the quality standards and qualified judgment conditions for each inspection step; version control and archiving, setting the version number of the inspection plan, and archiving it for subsequent reference and update.

[0151] Through the above steps, a comprehensive and detailed robot forging inspection program data package will be generated to ensure that every key step from online inspection in the manufacturing process to final product inspection is effectively covered and optimized to ensure product quality and production efficiency.

[0152] S400, generating a target manufacturing solution data package based on a robot forging manufacturing solution data package and a robot forging inspection solution data package.

[0153] For example, each process in the robot forging manufacturing plan data package can be integrated with the corresponding inspection link in the robot forging inspection plan data package to generate a complete production flow chart to ensure that each manufacturing step is seamlessly connected with the corresponding inspection step.

[0154] According to the manufacturing and testing requirements, optimize the use order and configuration of equipment to ensure efficient use of equipment and reduce waiting time and switching costs. Integrate the resources required for manufacturing and testing, including raw materials, processing equipment, testing equipment and human resources, and formulate a detailed resource scheduling plan to ensure the continuity of production. Optimize the process parameters in the manufacturing plan (such as forging temperature, processing speed, heat treatment time, etc.) to match the testing standards in the testing plan to ensure the consistency of the final product quality. Unify the manufacturing standards and testing standards to ensure that all links are executed according to the same quality standards, such as dimensional tolerances, geometric tolerances, material composition, etc. A real-time monitoring system can be deployed during the manufacturing process to track key process parameters and test data to ensure that potential quality problems are discovered and resolved in a timely manner.

[0155] Combine the manufacturing and testing processes to generate a detailed production plan, clarify the time nodes and resource requirements of each process, and ensure the orderly progress of production. A production progress management system can be established to monitor the production progress in real time to ensure that each link is carried out as planned and reduce delays.

[0156] Through this step, the generated target manufacturing solution data package will cover the entire forging production and inspection process to ensure the high quality and production efficiency of the product. At the same time, the data package will provide detailed operation guidelines, resource allocation, progress management, quality control, data recording and risk management, etc., to provide comprehensive guarantee for the smooth progress of the production process.

[0157] S500, based on the target manufacturing solution data packet, controlling the manufacturing equipment and the testing equipment to respectively perform the manufacturing operation and the testing operation of the manipulator forging.

[0158] For example, before starting manufacturing, all manufacturing equipment (such as forging machines, CNC machine tools, heat treatment furnaces, etc.) can be fully inspected to ensure that the equipment is operating normally and meets production requirements. According to the process parameters in the target manufacturing solution data package, set the equipment's operating parameters, such as forging temperature, processing speed, heat treatment time, etc. Ensure that the required raw materials are prepared according to the material requirements and have passed preliminary quality inspections.

[0159] According to the robot forging manufacturing plan data package, control the forging machine to perform forging operations, heat and form according to the process requirements, and monitor the temperature, pressure and other key parameters in the forging process in real time. After forging is completed, the forging is transferred to the heat treatment furnace and the heat treatment operation is performed according to the set process parameters to ensure that the mechanical properties of the forging meet the standards. After the heat treatment is completed, the forging is finished using a CNC machine tool to ensure that its size and shape meet the design requirements. According to the surface treatment process plan, control the spraying, electroplating or other surface treatment equipment to perform operations to ensure that the protective layer or finish of the forging surface meets the design requirements.

[0160] Before testing, ensure that all testing equipment (such as three-coordinate measuring machine, ultrasonic flaw detector, spectrum analyzer, etc.) has been calibrated and can provide accurate test data. According to the test plan in the target manufacturing plan, set the test procedure and clarify the test items, sequence and judgment criteria. The three-coordinate measuring machine can be used to automatically detect the size and form and position tolerances of the forgings, record all measurement data, and compare them with the design requirements. Use magnetic particle flaw detectors or other surface testing equipment to detect cracks, scratches and other defects on the surface of forgings to ensure that the surface quality meets the standards. Use ultrasonic flaw detectors or X-ray detectors to perform non-destructive testing on the inside of forgings to identify possible defects such as cracks and pores inside. Use a spectrum analyzer to test the material composition of the forgings to ensure that its chemical composition meets the design requirements. Record the results of each test step in real time, generate a detailed test report, and store the data in a database for traceability and quality analysis.

[0161] After all manufacturing and testing operations are completed, a comprehensive evaluation is conducted to confirm whether the various indicators of the forgings meet the design and quality standards. All data generated during the manufacturing and testing process are analyzed to identify possible improvement points and optimize the production and testing processes.

[0162] Through this step, based on the target manufacturing solution data package, the operation of manufacturing and testing equipment is strictly controlled to ensure that the production process of robot forgings is efficient and stable, and ultimately produce high-quality products.

[0163] In one possible implementation, see Figure 7 , S500, based on the target manufacturing solution data package, controlling the manufacturing equipment and the testing equipment to respectively perform the manufacturing operation and the testing operation of the manipulator forging, including:

[0164] S510, based on the robot forging manufacturing plan data package, controlling the manufacturing equipment corresponding to each manufacturing process in the manufacturing process data package to perform the manufacturing operation of the robot forging to obtain a final forging product.

[0165] For example, all manufacturing equipment related to forging, heat treatment, machining and surface treatment can be checked to ensure that they are in good working condition and have been calibrated according to the requirements of the manufacturing process data package. According to the manufacturing material information, prepare the required raw materials and ensure that they meet the quality standards. According to each process step in the manufacturing process data package, set the corresponding manufacturing equipment parameters, such as temperature, pressure, speed, etc.

[0166] Control forging equipment (such as forging machines and hydraulic presses) to perform forging operations and form forgings according to the set forging temperature, pressure and speed. Control heat treatment furnaces and other equipment to perform heating, insulation and cooling operations to ensure that the hardness, toughness and other mechanical properties of forgings meet the requirements. Control CNC machine tools, lathes, milling machines and other machining equipment to perform machining operations according to the set machining paths and process parameters to gradually achieve the finishing of forgings. Control surface treatment equipment (such as sprayers and electroplating equipment) to perform cleaning, coating, drying and other operations to ensure that the surface quality of forgings meets the design requirements.

[0167] Optionally, see Figure 8 S510, based on the robot forging manufacturing plan data package, controlling the manufacturing equipment corresponding to each manufacturing process in the manufacturing process data package to perform the manufacturing operation of the robot forging to obtain the final forging product, including:

[0168] S511, obtaining a manufacturing start signal.

[0169] For example, the manufacturing start signal may be a user clicking a start option on a display screen of a display device, or a user pressing a mechanical button to start manufacturing. The system receives the manufacturing start signal, indicates to start the manufacturing process, confirms the validity of the manufacturing start signal, and ensures that all related systems and equipment are ready.

[0170] S512, based on the manufacturing start signal and the robot forging manufacturing plan data packet, obtain control logic information, wherein the control logic information is used to characterize the sequence of each manufacturing process of the robot forging.

[0171] For example, the order of each manufacturing process, including forging, heat treatment, machining and surface treatment, can be extracted from the robot forging manufacturing plan data package. According to the order of each manufacturing process, control logic information is generated, and the control logic information represents the execution order of each manufacturing process and the corresponding dependency relationship, for example, forging → heat treatment → machining → surface treatment.

[0172] S513, generating a manufacturing process operation instruction package according to the robot forging manufacturing plan data package, wherein the manufacturing process operation instruction package includes forging process operation instructions, heat treatment process operation instructions, machining operation instructions, and surface treatment process operation instructions, wherein the forging process operation instructions include forging process information, the heat treatment process operation instructions include heat treatment process information, the machining operation instructions include machining information, and the surface treatment process operation instructions include surface treatment process information.

[0173] For example, the forging temperature range suitable for the material can be obtained from the forging manufacturing plan data package; the pressure and forging speed required by the forging machine can be determined; the design and use requirements of the mold can be obtained, including the mold preheating temperature and lubrication conditions; according to the material and finished product requirements, the appropriate cooling method (such as air cooling, water cooling, oil cooling) can be selected. Forging process operation instructions may include controlling the heating equipment to heat the material to a specified temperature range and maintain it for a period of time; controlling the forging machine to apply the set pressure and speed, perform the forging operation, and form a preliminary shape; controlling the use of a specified mold for forging, and performing mold maintenance as required after forging; controlling the cooling system to perform cooling operations according to process requirements to ensure material performance.

[0174] The heating temperature and holding time of heat treatment can be obtained from the forging manufacturing plan data package; the cooling medium (such as water, oil, air) and cooling rate can be selected and set; the type of heat treatment (such as quenching, tempering, annealing) and its corresponding process requirements can be determined. Heat treatment process operation instructions can include controlling the heating equipment to heat the forging to a specified temperature and keep it warm for a set time; controlling the cooling system to cool at a set rate and medium to ensure the heat treatment effect; and performing post-processing steps such as secondary heating or slow cooling to optimize material properties.

[0175] Get the precise machining path from the forging manufacturing plan data package, including the order of each machining surface and feature; extract and set parameters such as cutting speed, feed rate, cutting depth, etc.; select suitable tools and fixtures to ensure machining accuracy and efficiency. Machining operation instructions can include controlling the machine tool to perform rough machining, remove excess material, and form a rough shape; perform finishing operations and perform high-precision machining according to the set machining path and parameters.

[0176] Obtain surface cleaning and preparation requirements, such as pickling, grinding, etc., from the forging manufacturing plan data package; determine the coating material, treatment temperature, time, etc. to be used; set control standards for coating thickness and uniformity. Surface treatment process operation instructions may include instructions for surface cleaning and preparation to ensure that the forging surface is suitable for subsequent treatment; instructions for spraying, electroplating or other surface treatment equipment to perform coating operations according to set conditions; control the drying or curing process to ensure that the coating achieves the expected physical properties and aesthetic effects.

[0177] Integrate the various operation instructions of forging, heat treatment, machining, and surface treatment into one instruction package, and arrange the various operation instructions in the instruction package according to the process sequence in the manufacturing plan. Document the integrated operation instruction package to ensure that all manufacturing steps are clear and executable, and perform version management on the instruction package to ensure that the latest operation instructions are used.

[0178] S514, obtaining the current manufacturing process operation instruction according to the manufacturing start signal, the control logic information and the manufacturing process operation instruction package, and based on the current manufacturing process operation instruction, controlling the manufacturing equipment corresponding to the current manufacturing process operation instruction to perform the operation corresponding to the current manufacturing process operation instruction.

[0179] Exemplarily, when the system detects a manufacturing start signal (such as through a button, command, or automatic trigger), it will confirm that the signal is valid and ensure that all preparations have been completed (such as material preparation and equipment status confirmation). Read the process sequence from the control logic information, determine the execution sequence of the manufacturing process, and identify the manufacturing process that needs to be executed (such as forging, heat treatment, machining, or surface treatment) based on the control logic information. Extract the operation instructions corresponding to the current process from the manufacturing process operation instruction package, ensure that the extracted operation instructions are consistent with the current process, and check the integrity and accuracy of the instructions. Confirm that the equipment required for the current manufacturing process is ready and in the correct initial state, and transmit the current manufacturing process operation instructions to the corresponding manufacturing equipment, such as forging machines, heat treatment furnaces, CNC machine tools, etc.

[0180] S515, obtaining a current manufacturing process operation completion signal.

[0181] For example, once the current manufacturing process operation is completed, the manufacturing equipment will automatically generate and send an operation completion signal. The system receives the operation completion signal and confirms the validity of the current manufacturing process operation completion signal, records the operation results and process data (such as operation time, parameter fluctuations), and stores all data of the current operation in the production database for subsequent analysis and quality traceability.

[0182] S516, determining whether the current manufacturing process operation completion signal is a manufacturing process operation completion signal corresponding to the last manufacturing process in the manufacturing process sequence in the control logic information, and obtaining a determination result.

[0183] Exemplarily, according to the control logic information, it is determined whether the current manufacturing process operation completion signal is the last item in the manufacturing process sequence. If the current signal is the completion signal of the last process, the finished product signal generation continues; otherwise, the next process is continued.

[0184] S517, when the judgment result indicates that the current manufacturing process operation completion signal is not the manufacturing process operation completion signal corresponding to the manufacturing process with the last manufacturing process sequence in the control logic information, a second manufacturing process operation instruction is obtained according to the current manufacturing process operation completion signal, the control logic information and the manufacturing process operation instruction package; and based on the second manufacturing process operation instruction, the manufacturing equipment corresponding to the second manufacturing process operation instruction is controlled to perform the operation corresponding to the second manufacturing process operation instruction. The second manufacturing process operation instruction is used to represent the operation instruction corresponding to the next manufacturing process of the current manufacturing process.

[0185] For example, the next manufacturing process to be executed after the current manufacturing process operation is completed can be determined from the control logic information, the system records that the current process operation has been completed, and advances the manufacturing process to the next process stage. From the manufacturing process operation instruction package, the operation instruction corresponding to the next manufacturing process, that is, the second manufacturing process operation instruction, is extracted, and the integrity of the second manufacturing process operation instruction is checked to ensure that all necessary parameters and steps are included.

[0186] Initialize the manufacturing equipment corresponding to the second manufacturing process operation instruction to ensure that it is in a ready state. Set the operating parameters of the equipment (such as temperature, pressure, speed, path, etc.) according to the second manufacturing process operation instruction. Control the equipment to perform the corresponding manufacturing operation according to the second manufacturing process operation instruction. During the manufacturing process, monitor the operating status and key process parameters of the equipment in real time to ensure that the operation is performed as expected and record any abnormal conditions. Once the second manufacturing process operation is completed, the equipment automatically generates and sends an operation completion signal to notify the system that the current process has been completed. The system records all process data of the second manufacturing process operation, including time, parameters, equipment status, etc., for subsequent analysis and quality traceability. Check the control logic information again to determine whether the second manufacturing process is the last step. If not, the system prepares the operation instructions for the next process; if so, enter the finished product completion stage. If the second manufacturing process operation completion signal indicates that other manufacturing steps need to be continued, repeat the above steps, obtain and execute the next manufacturing process operation instruction, and continue to execute the manufacturing process until all steps are completed and the final product is generated.

[0187] Assume that the current process is forging and the next process is heat treatment. After receiving the forging operation completion signal, the system checks the control logic, confirms that heat treatment is the next process, obtains the second manufacturing process operation instruction (heat treatment), and extracts the heat treatment operation instruction from the operation instruction package, including heating temperature 900°C, heat preservation for 2 hours, and cooling rate 50°C / min. According to the heat treatment operation instruction, start the heat treatment furnace, heat to 900°C, maintain the temperature for 2 hours, ensure the internal structure of the forging is homogenized, and cool to room temperature at the set rate of 50°C / min. After receiving the heat treatment operation completion signal, the system records the data and determines whether there is a next process. If the heat treatment is not the last step, continue to execute the next process.

[0188] S518, when the judgment result indicates that the current manufacturing process operation completion signal is the manufacturing process operation completion signal corresponding to the last manufacturing process in the manufacturing process sequence in the control logic information, a finished product completion signal is generated; and the final forging product is obtained based on the finished product completion signal.

[0189] For example, after the last manufacturing process is completed, the system generates a finished product completion signal, indicating the end of the entire manufacturing process. A comprehensive inspection of the final finished product may be carried out to ensure that the finished product meets all design and quality standards. After all manufacturing processes and final inspections, the final forging product is generated and is ready for delivery or further processing.

[0190] Through the above steps, the manufacturing process of the robot forging can be effectively controlled to ensure that all manufacturing processes are carried out correctly in sequence, and finally the forging finished products that meet the quality standards are obtained.

[0191] S520, based on the manipulator forging inspection plan data packet, controls the inspection equipment corresponding to the inspection step of each manufacturing process in the manufacturing process data packet to perform inspection operations on the corresponding manufacturing process, and controls the inspection equipment corresponding to the inspection step in the second inspection plan data packet to perform inspection operations on the final forging product.

[0192] For example, the detection equipment can be controlled to perform real-time detection during the manufacturing process based on the online detection step information. Forging online detection can use thermocouples and pressure sensors to monitor temperature and pressure. Heat treatment online detection can use infrared thermometers and hardness testers to monitor temperature distribution and hardness. Machining online detection can use laser rangefinders and surface roughness meters to monitor processing dimensions and surface quality. Surface treatment online detection can use coating thickness gauges and microscopes to check coating thickness and surface finish. Automatically record online detection data and generate real-time reports to ensure that any deviations are discovered and corrected early in the manufacturing process.

[0193] Confirm that all finished product inspection equipment (such as CMM, ultrasonic flaw detector, hardness tester) is calibrated and ready for inspection. The CMM can be used to measure the dimensions of the finished product to ensure that the tolerance requirements are met. Microscopes and roughness meters can be used to check the surface finish to ensure that there are no defects. Ultrasonic flaw detectors and X-ray detectors can be used to check whether there are cracks, pores and other defects inside the forgings. Hardness testers and tensile testing machines can be used to test the hardness and mechanical strength of the finished product. All inspection data are automatically recorded and compared with the design standards to generate a finished product inspection report.

[0194] Integrate online inspection data with final product inspection data to form a complete quality control data package. Perform a comprehensive analysis of the inspection results to confirm whether the forging meets all design requirements and quality standards.

[0195] Optionally, see Fig. 9 In step S520, based on the robot forging inspection solution data package, the inspection equipment corresponding to the inspection step of each manufacturing process in the manufacturing process data package is controlled to perform inspection operations on the corresponding manufacturing process, including:

[0196] S521, generating a manufacturing process detection instruction package according to the manufacturing start signal and the robot forging detection scheme data package. The manufacturing process detection instruction package includes forging process detection instructions, heat treatment process detection instructions, machining detection instructions, and surface treatment process detection instructions. The forging process detection instructions include the detection steps of the forging process, the heat treatment process detection instructions include the detection steps of the heat treatment process, the machining detection instructions include the detection steps of the machining, and the surface treatment process detection instructions include the detection steps of the surface treatment process.

[0197] Exemplarily, the system receives a manufacturing start signal, confirms the start of the manufacturing and inspection process, and loads a robot forging inspection solution data package, which contains inspection requirements for all manufacturing processes.

[0198] The inspection steps related to the forging process can be extracted from the inspection plan data package, which may include forging size inspection, shape tolerance inspection, surface defect inspection, hardness inspection after cooling, etc., to form forging process inspection instructions and clarify the inspection steps, inspection equipment and inspection standards.

[0199] The inspection steps after heat treatment, such as hardness testing, microstructure inspection, residual stress measurement, etc., can be extracted from the inspection plan to form heat treatment process inspection instructions and specify inspection steps and equipment.

[0200] The post-machining inspection requirements, such as precision inspection, surface roughness measurement, key aperture measurement, etc., can be extracted from the inspection plan to form machining inspection instructions and clarify the equipment and standards for each inspection.

[0201] The inspection steps after surface treatment, such as coating thickness measurement, coating adhesion test, surface finish inspection, etc., can be extracted from the inspection plan to form surface treatment process inspection instructions and specify inspection equipment and operations.

[0202] S522, obtaining a current manufacturing process detection instruction according to the current manufacturing process operation completion signal and the manufacturing process detection instruction package.

[0203] Exemplarily, after a manufacturing process operation is completed, the system receives a completion signal of the process, identifies the currently completed manufacturing process (such as forging, heat treatment, machining or surface treatment) based on the control logic information, extracts the inspection instructions corresponding to the current manufacturing process from the manufacturing process inspection instruction package, confirms the integrity and accuracy of the inspection instructions, and ensures that all necessary inspection steps and equipment requirements are included.

[0204] S523, based on the current manufacturing process detection instruction, controlling the detection equipment corresponding to the current manufacturing process detection instruction to perform detection operations on the current manufacturing process.

[0205] For example, it can be confirmed that the inspection equipment required for the current inspection process has been calibrated and is ready, and the operating parameters of the inspection equipment are set according to the current manufacturing process inspection instructions, and the inspection equipment is controlled to perform the inspection operation according to the current manufacturing process inspection instructions, and the operating status and inspection results of the inspection equipment are monitored to ensure that the inspection process is carried out as expected, and any abnormalities are recorded. The system automatically records the inspection results, including measurement values, inspection time, equipment status, etc. Analyze whether the inspection results meet the standards and generate a test report.

[0206] Optionally, see Fig.10 In step S520, the detection equipment corresponding to the detection step in the second detection scheme data packet is controlled to perform a detection operation on the final forging product, including:

[0207] S501, generating a finished product inspection instruction according to a finished product completion signal and a second inspection solution data packet, wherein the finished product inspection instruction includes the inspection steps in the second inspection solution data packet.

[0208] Exemplarily, the system receives a finished product completion signal from the manufacturing process, confirming that the finished forging has completed all manufacturing process steps and is ready for final inspection. All steps related to finished product inspection are loaded from the second inspection solution data package, which may cover dimensional inspection, surface quality inspection, mechanical property inspection, etc. All steps related to finished product inspection are extracted to ensure that each key attribute can be covered by the inspection, and all inspection steps extracted from the second inspection solution data package are integrated to form a complete finished product inspection instruction, which can describe in detail all inspection steps, required inspection equipment, inspection standards and qualified standards.

[0209] S502, based on the finished product inspection instruction, controlling the inspection equipment corresponding to the finished product inspection instruction to perform inspection operations on the final forging finished product.

[0210] For example, it can be confirmed that all the inspection equipment mentioned in the finished product inspection instructions have been calibrated and prepared and are in the best operating state. According to the finished product inspection instructions, configure the operating parameters of the inspection equipment, such as measurement range, sensitivity, speed, etc. For example, perform geometric dimension inspection, control the three-coordinate measuring machine (CMM) to detect the key dimensions of the finished product to ensure that it meets the design specifications; perform internal defect inspection, control the ultrasonic flaw detector to detect whether there are cracks, pores and other defects inside the finished product to ensure the internal quality of the finished product; perform mechanical property inspection, control the tensile testing machine and hardness tester to perform tensile tests, measure the tensile strength and hardness of the finished product, and ensure that its mechanical properties meet the requirements.

[0211] The system records the results of all inspection operations, including measurement values, timestamps, equipment status, etc. A detailed finished product inspection report is generated based on the inspection results, and the report should include the qualification judgment of all inspection steps.

[0212] Through the above steps, the system can accurately control the testing equipment to perform finished product testing operations to ensure that the finished forgings meet the quality standards in all key performance indicators, thereby ensuring the reliability and safety of the final product.

[0213] In one possible implementation, see Fig.11 , the intelligent manufacturing method of manipulator forgings also includes:

[0214] S10, obtaining operation authority, wherein the operation authority is engineer authority or operator authority.

[0215] For example, the current user's operation authority can be obtained through a user identity authentication mechanism, and the authentication method includes a user name and password, an RFID card, a fingerprint recognition, or other multi-factor authentication. The authority is classified into engineer authority and operator authority, and the system determines whether the next operation to be performed is the first operation or the second operation by judging the type of operation authority.

[0216] S20, if the operation authority is engineer authority, perform a first operation, wherein the first operation includes sending the target manufacturing solution data package to a display device, so that the display device displays the target manufacturing solution in the target manufacturing solution data package and displays the modifiable information.

[0217] Exemplarily, if the operation authority is engineer authority, the system sends the target manufacturing solution data package to the connected display device, and the display device displays the detailed content of the target manufacturing solution, including process flow, process parameters, test flow, test equipment, etc. The display device allows engineers to view and modify the information in the target manufacturing solution, such as process parameter adjustment, step sequence modification, etc.

[0218] S30, if the operation authority is the operator authority, perform a second operation, wherein the second operation includes sending the target manufacturing solution data package to a display device, so that the display device displays the target manufacturing solution in the target manufacturing solution data package.

[0219] Exemplarily, if the operating authority is operator authority, the system sends the target manufacturing plan data packet to the display device, and the display device displays the detailed content of the target manufacturing plan for the operator to view. Under operator authority, the display device only displays the plan information without providing modification options.

[0220] Based on the operation performed, the system provides feedback to the user to confirm whether the operation is successful, and records the operation log, recording which operation was performed, the time, the type of operation permission, user information, etc.

[0221] Through the above steps, corresponding operations can be performed according to different authority levels, ensuring that engineers can view and modify manufacturing plans, while operators can only view plans, ensuring the security of information and the standardization of operations.

[0222] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0223] Corresponding to the intelligent manufacturing method for manipulator forgings described in the above embodiments, the embodiments of the present application also provide an intelligent manufacturing device for manipulator forgings, and each unit of the device can implement each step of the intelligent manufacturing method for manipulator forgings. Fig.12 A structural block diagram of a robot forging intelligent manufacturing device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0224] Reference Fig.12 , the device comprises:

[0225] An acquisition unit, used to acquire design requirement information of the manipulator forging;

[0226] A manufacturing plan generating unit, used for generating a manufacturing plan data package of the manipulator forging according to the design requirement information of the manipulator forging;

[0227] The detection plan generating unit generates a robot forging detection plan data package according to the robot forging manufacturing plan data package and the robot forging design requirement information;

[0228] A target solution generating unit, used for generating a target manufacturing solution data package based on a robot forging manufacturing solution data package and a robot forging inspection solution data package;

[0229] The control unit is used to control the manufacturing equipment and the detection equipment to respectively perform the manufacturing operation and the detection operation of the manipulator forging based on the target manufacturing plan data package.

[0230] It should be noted that the information interaction, execution process and other contents between the above-mentioned units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0231] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0232] The present application also provides a robot forging intelligent manufacturing device, Fig.13 The schematic diagram of the structure of the robot forging intelligent manufacturing equipment provided in one embodiment of the present application. The robot forging intelligent manufacturing equipment includes manufacturing equipment, testing equipment, display equipment, and a control device that is connected to the manufacturing equipment, testing equipment, and display equipment. Fig.13 As shown, the control device 6 of the robot forging intelligent manufacturing equipment of this embodiment includes: at least one processor 60 ( Fig.13 Only one is shown), at least one memory 61 ( Fig.13 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the robot forging intelligent manufacturing equipment implements the steps in any of the above-mentioned robot forging intelligent manufacturing method embodiments, or the robot forging intelligent manufacturing equipment implements the functions of each unit in the above-mentioned device embodiments.

[0233] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6 of the robot forging intelligent manufacturing equipment.

[0234] The control device 6 of the robot forging intelligent manufacturing equipment can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The robot forging intelligent manufacturing equipment may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Fig.13 It is only an example of the intelligent manufacturing equipment for robot forgings and does not constitute a limitation of the intelligent manufacturing equipment for robot forgings. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access equipment, buses, etc.

[0235] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0236] In some embodiments, the memory 61 may be an internal storage unit of the control device 6 of the manipulator forging intelligent manufacturing equipment, such as a hard disk or memory of the manipulator forging intelligent manufacturing equipment. In other embodiments, the memory 61 may also be an external storage device of the manipulator forging intelligent manufacturing equipment, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the manipulator forging intelligent manufacturing equipment. Further, the memory 61 may also include both an internal storage unit and an external storage device of the manipulator forging intelligent manufacturing equipment. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0237] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0238] An embodiment of the present application provides a computer program product. When the computer program product runs on a robot forging intelligent manufacturing device, the robot forging intelligent manufacturing device implements the steps in any of the above method embodiments.

[0239] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the manipulator forging intelligent manufacturing equipment, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0240] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0241] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0242] In the embodiments provided in the present application, it should be understood that the disclosed intelligent manufacturing devices, equipment and methods for manipulator forgings can be implemented in other ways. For example, the embodiments of the intelligent manufacturing devices and equipment for manipulator forgings described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0243] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0244] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for intelligent manufacturing of manipulator forgings, characterized in that: include: Obtain design requirement information for robot forgings; Generate a manufacturing plan data package for the manipulator forging according to the design requirement information of the manipulator forging; Generate a manipulator forging inspection plan data package according to the manipulator forging manufacturing plan data package and the manipulator forging design requirement information; Generate a target manufacturing solution data package based on the robot forging manufacturing solution data package and the robot forging inspection solution data package; Based on the target manufacturing solution data packet, control the manufacturing equipment and the testing equipment to respectively perform the manufacturing operation and the testing operation of the manipulator forging; Wherein, generating a manipulator forging manufacturing plan data package according to the design requirement information of the manipulator forging includes: Generating a three-dimensional model of the manipulator forging according to the design requirement information of the manipulator forging; Generate a manufacturing process data package according to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging; Integrate the three-dimensional model of the manipulator forging and the manufacturing process data package to obtain the manipulator forging manufacturing solution data package; The step of generating a three-dimensional model of the manipulator forging according to the design requirement information of the manipulator forging comprises: According to the design requirement information of the manipulator forging, the manufacturing material of the manipulator forging is selected from the forging material library to obtain the manufacturing material information; wherein the forging material library is established based on collecting materials related to the manipulator forging, and the manufacturing material information includes the material properties of the manufacturing material of the manipulator forging; Generate a first forging three-dimensional model according to the design requirement information of the manipulator forging and the manufacturing material information; Based on the material properties of the manufacturing material of the manipulator forging, geometric optimization and topological optimization are performed on the first forging three-dimensional model to obtain a second forging three-dimensional model; Performing model verification on the second forging three-dimensional model to obtain a verification result; According to the verification result, the second forging three-dimensional model is adjusted to obtain the manipulator forging three-dimensional model; The step of generating a manipulator forging inspection plan data package according to the manipulator forging manufacturing plan data package and the manipulator forging design requirement information includes: Obtaining basic inspection step information; wherein the basic inspection step information includes the finished product basic inspection steps for the finished product of the manipulator forging; According to the design requirement information of the manipulator forging and the basic inspection step information, the basic inspection step of the finished product is adjusted and optimized to generate a first inspection solution data package; Generate the manipulator forging inspection solution data package according to the manufacturing process data package and the first inspection solution data package in the manipulator forging manufacturing solution data package; The step of generating the manipulator forging inspection solution data package according to the manufacturing process data package and the first inspection solution data package in the manipulator forging manufacturing solution data package comprises: Analyze each manufacturing process in the manufacturing process data package in the manufacturing solution data package of the manipulator forging and identify key steps to obtain key step information; adjust and optimize the finished product inspection steps in the first inspection solution data package according to the key step information to generate a second inspection solution data package; wherein the key step information is used to characterize the steps that affect the quality of the finished product in the manufacturing process of the manipulator forging; Determine the detection step corresponding to each manufacturing process in the manufacturing process data packet to obtain online detection step information; wherein the online detection step information includes the detection step corresponding to each manufacturing process in the manufacturing process data packet; The second detection scheme data package and the online detection step information are integrated to obtain the robot forging detection scheme data package.

2. The intelligent manufacturing method for manipulator forgings according to claim 1, characterized in that: The step of generating a manufacturing process data package according to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging includes: According to the manufacturing material information and the three-dimensional model of the manipulator forging, the forging process of the manipulator forging is determined to obtain forging process information; wherein the forging process information includes forging parameters, forging die model, and forging steps; Determine the heat treatment process of the manipulator forging according to the manufacturing material information and the three-dimensional model of the manipulator forging, and obtain heat treatment process information; wherein the heat treatment process information includes heat treatment type, heat treatment process steps, and heat treatment process parameters; According to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging, the machining of the manipulator forging is determined to obtain machining information; wherein the machining information includes machining steps, machining paths, and machining parameters; According to the design requirement information of the manipulator forging and the three-dimensional model of the manipulator forging, the surface treatment process of the manipulator forging is determined to obtain surface treatment process information; wherein the surface treatment process information includes surface treatment process steps and surface treatment process parameters; The forging process information, the heat treatment process information, the machining information and the surface treatment process information are integrated to obtain the manufacturing process data packet.

3. The intelligent manufacturing method for manipulator forgings according to claim 2, characterized in that: The controlling of the manufacturing equipment and the testing equipment to respectively perform the manufacturing operation and the testing operation of the manipulator forging based on the target manufacturing solution data packet comprises: Based on the robot forging manufacturing plan data package, control the manufacturing equipment corresponding to each manufacturing process in the manufacturing process data package to perform the manufacturing operation of the robot forging to obtain a final forging product; Based on the robot forging inspection plan data packet, the inspection equipment corresponding to the inspection step of each manufacturing process in the manufacturing process data packet is controlled to perform inspection operations on the corresponding manufacturing process, and the inspection equipment corresponding to the inspection step in the second inspection plan data packet is controlled to perform inspection operations on the final forging product.

4. The intelligent manufacturing method for manipulator forgings according to claim 3 is characterized in that: The controlling, based on the robot forging manufacturing plan data package, of the manufacturing equipment corresponding to each manufacturing process in the manufacturing process data package to perform the manufacturing operation of the robot forging to obtain a final forging product, comprises: Get the manufacturing start signal; Based on the manufacturing start signal and the robot forging manufacturing plan data packet, control logic information is obtained; wherein the control logic information is used to characterize the sequence of each manufacturing process of the robot forging; Generate a manufacturing process operation instruction package according to the robot forging manufacturing plan data package; wherein the manufacturing process operation instruction package includes forging process operation instructions, heat treatment process operation instructions, machining operation instructions, and surface treatment process operation instructions, the forging process operation instructions include the forging process information, the heat treatment process operation instructions include the heat treatment process information, the machining operation instructions include the machining information, and the surface treatment process operation instructions include the surface treatment process information; Obtaining a current manufacturing process operation instruction according to the manufacturing start signal, the control logic information and the manufacturing process operation instruction package, and controlling a manufacturing device corresponding to the current manufacturing process operation instruction to perform an operation corresponding to the current manufacturing process operation instruction based on the current manufacturing process operation instruction; Obtaining a completion signal of the current manufacturing process operation; Determine whether the current manufacturing process operation completion signal is a manufacturing process operation completion signal corresponding to the last manufacturing process in the manufacturing process sequence in the control logic information, and obtain a determination result; When the judgment result indicates that the current manufacturing process operation completion signal is not the manufacturing process operation completion signal corresponding to the manufacturing process with the manufacturing process sequence being the last in the control logic information, a second manufacturing process operation instruction is obtained according to the current manufacturing process operation completion signal, the control logic information and the manufacturing process operation instruction package; and based on the second manufacturing process operation instruction, a manufacturing device corresponding to the second manufacturing process operation instruction is controlled to perform an operation corresponding to the second manufacturing process operation instruction; wherein the second manufacturing process operation instruction is used to represent an operation instruction corresponding to the next manufacturing process of the current manufacturing process; When the judgment result indicates that the current manufacturing process operation completion signal is the manufacturing process operation completion signal corresponding to the last manufacturing process in the manufacturing process sequence in the control logic information, a finished product completion signal is generated; and the final forging product is obtained based on the finished product completion signal.

5. A robot forging intelligent manufacturing device, characterized in that: For implementing the method according to any one of claims 1 to 4, the robot forging intelligent manufacturing device comprises: An acquisition unit, used to acquire design requirement information of the manipulator forging; A manufacturing plan generating unit, used for generating a manufacturing plan data package of the manipulator forging according to the design requirement information of the manipulator forging; A detection scheme generating unit generates a manipulator forging detection scheme data package according to the manipulator forging manufacturing scheme data package and the manipulator forging design requirement information; A target solution generating unit, configured to generate a target manufacturing solution data package based on the robot forging manufacturing solution data package and the robot forging inspection solution data package; A control unit is used to control the manufacturing equipment and the detection equipment to respectively perform the manufacturing operation and the detection operation of the manipulator forging based on the target manufacturing plan data packet.

6. A robot forging intelligent manufacturing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 4 is implemented.

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