Copper bar manufacturing control method and equipment

Abstract

The invention is suitable for the technical field of copper bars, and particularly relates to a copper bar manufacturing control method and equipment, and the method comprises the steps: obtaining order information of a to-be-manufactured copper bar; recommended machining parameter information and target copper bar information are generated based on the order information; wherein the recommended machining parameter information is used for indicating machining parameters corresponding to the manufacturing requirements of the to-be-manufactured copper bar, and the target copper bar information comprises the appearance requirements of the to-be-manufactured copper bar and a target model; establishing a virtual processing system according to the recommended processing parameter information and the appearance requirements; actual working parameter information of the copper bar to be manufactured is determined according to the virtual machining system; wherein the actual working parameter information is used for indicating machining parameters actually used for producing the to-be-manufactured copper bar; and controlling a manufacturing device to manufacture the copper bar based on the actual working parameter information. According to the copper bar manufacturing control method, the quality can be improved, the manufacturing time can be shortened, and the production efficiency of the copper bar can be improved.

Description

Technical Field

[0001] The present application belongs to the technical field of copper rods, and in particular, relates to a copper rod manufacturing control method and equipment. Background Art

[0002] Copper rods are rod-shaped materials made of copper by casting or extrusion. Copper rods are generally round, square, hexagonal or other cross-sectional shapes. Copper rods are mainly used in electrical, electronic, construction and machinery manufacturing fields due to their excellent electrical conductivity, thermal conductivity, corrosion resistance and good processing performance.

[0003] In the related art, during the manufacturing process of copper bars, since each customer's order is different and the requirements for the copper bars to be produced are different, the processing parameters of the copper bars are different; if multiple orders need to be processed at the same time, the existing technology requires technicians to analyze the specific information of each order and then debug the manufacturing equipment multiple times before production can be carried out. The copper bars manufactured by the newly debugged manufacturing equipment are of poor quality when working, which increases the manufacturing time, increases the workload of technicians, and leads to low production efficiency. Summary of the invention

[0004] The embodiments of the present application provide a copper rod manufacturing control method and equipment, which can solve the problem of long manufacturing time and poor quality due to the need to debug the manufacturing equipment multiple times before production can begin due to a large number of orders.

[0005] In a first aspect, an embodiment of the present application provides a copper bar manufacturing control method, comprising:

[0006] Obtaining order information of the copper bar to be manufactured; wherein the order information is used to characterize the manufacturing requirements of the copper bar to be manufactured;

[0007] Generate recommended processing parameter information and target copper bar information based on the order information; wherein the recommended processing parameter information is used to indicate processing parameters corresponding to the manufacturing requirements of the copper bar to be manufactured, and the target copper bar information includes the appearance requirements and target model of the copper bar to be manufactured;

[0008] Establishing a virtual processing system according to the recommended processing parameter information and the appearance requirements;

[0009] Determine the actual working parameter information of the copper bar to be manufactured according to the virtual processing system; wherein the actual working parameter information is used to indicate the processing parameters actually used in producing the copper bar to be manufactured;

[0010] Based on the actual working parameter information, a manufacturing device is controlled to manufacture the copper rod.

[0011] The copper bar manufacturing control method provided by the present application can obtain the order information of the copper bar to be manufactured, and the manufacturing requirements of the copper bar can be clearly understood. The recommended processing parameter information and the target copper bar information generated based on the order information can improve the quality control when manufacturing the copper bar, and can improve the consistency of the internal structure of the copper bar, thereby improving its mechanical properties and electrical conductivity. According to the recommended processing parameter information and the appearance requirements, a virtual processing system is established, and potential problems can be found before the product is put into large-scale production, and adjustments and optimizations can be made in advance to reduce material waste and production costs. A safe environment can also be provided for engineers and designers to conduct experiments without worrying about damage to actual equipment, so as to shorten the product development cycle. According to the virtual processing system, the actual working parameter information of the copper bar to be manufactured is determined, and the size, shape and surface finish of the copper bar can be effectively controlled to meet the needs of different industrial applications, optimize the working parameters, reduce material waste and processing time, and control the manufacturing device to manufacture the copper bar based on the actual working parameter information to improve the uniformity and reliability of the product, optimize the manufacturing process, and improve production quality and efficiency.

[0012] In a possible implementation manner of the first aspect, establishing a virtual processing system according to the recommended processing parameter information and the appearance requirement includes:

[0013] Based on the recommended processing parameter information, first establishment information is obtained; wherein the first establishment information is used to indicate production process parameters for manufacturing the copper bar to be manufactured;

[0014] Based on the appearance requirements, second establishment information is obtained; wherein the second establishment information is used to indicate the size specification parameters of the copper bar to be manufactured;

[0015] The system is established according to the first establishment information and the second establishment information to obtain the virtual machining system.

[0016] In a possible implementation manner of the first aspect, determining actual working parameter information of the copper bar to be manufactured according to the virtual processing system includes:

[0017] Using the virtual processing system to simulate the manufacturing of copper bars, and obtaining a simulation model of the copper bars to be manufactured;

[0018] Performing appearance analysis based on the simulation model to obtain model information; wherein the model information is used to reflect the appearance of the simulation model;

[0019] Comparing the model information with the target model to obtain appearance result information; wherein the appearance result information is used to reflect the appearance difference between the simulation model and the target model;

[0020] Performing performance simulation on the simulation model to obtain actual simulation information; wherein the actual simulation information is used to reflect the process performance value of the simulation model;

[0021] The appearance result information and the actual simulation information are combined and analyzed to obtain the actual working parameter information.

[0022] In a possible implementation manner of the first aspect, performing appearance analysis based on the simulation model to obtain model information includes:

[0023] Import the simulation model into the three-dimensional space of the simulation tool so that the axis of the simulation model is parallel to the Z axis; wherein the end surface of the simulation model at one end perpendicular to the X axis is the bottom surface, the end surface of the other end opposite to the bottom surface is the top surface, the surface formed by the X axis and the Y axis is determined as the X standard surface, and the surface where the Y axis and the Z axis are located is determined as the Y standard surface;

[0024] Projecting from the top surface to the bottom surface onto the X standard surface to determine a first projection surface;

[0025] Performing a side projection on the simulation model, projecting the model onto the Y standard plane, and determining a second projection plane;

[0026] The model information is determined according to the first projection surface and the second projection surface.

[0027] In a possible implementation manner of the first aspect, the performing comparative detection on the model information and the target model to obtain appearance result information includes:

[0028] Import the target model into the three-dimensional space of the simulation tool so that the axis of the target model is parallel to the Z axis; wherein the end surface of the target model at one end perpendicular to the X axis is the bottom surface, the end surface of the other end opposite to the bottom surface is the top surface, the surface formed by the X axis and the Y axis is determined as the X standard surface, and the surface where the Y axis and the Z axis are located is determined as the Y standard surface;

[0029] Projecting the target model onto the X standard plane to obtain a third projection plane, and projecting the target model onto the Y standard plane to obtain a fourth projection plane;

[0030] Compare the first projection surface indicated by the first projection information with the third projection surface indicated by the third projection information to obtain first result information; wherein the first result information is used to reflect the difference in projection surfaces between the first projection surface and the third projection surface;

[0031] Compare the second projection surface indicated by the second projection information with the fourth projection surface indicated by the fourth projection information to obtain second result information; wherein the second result information is used to reflect the difference in projection surfaces between the second projection surface and the fourth projection surface;

[0032] The appearance result information is determined according to the first result information and the second result information.

[0033] In a possible implementation manner of the first aspect, performing performance simulation on the simulation model to obtain actual simulation information includes:

[0034] Acquire simulation condition information of the copper rod to be manufactured; wherein the simulation condition information is used to indicate the physical properties of the simulation model, and the physical properties include elastic modulus, Poisson's ratio, yield strength, and thermal expansion coefficient;

[0035] Setting the format of the simulation model to a standard format, importing the simulation model in the standard format into a test tool to select a mesh type and distribute the mesh, and applying the simulation condition information to the simulation model for preprocessing;

[0036] Performing dynamic response analysis on the simulation model to obtain dynamic distribution information; wherein the dynamic distribution information is used to indicate the performance value of the simulation model under the action of dynamic analysis;

[0037] Performing thermal analysis on the simulation model to obtain thermal distribution information; wherein the thermal distribution information is used to indicate the performance value of the simulation model under the thermal analysis;

[0038] The actual simulation information is determined according to the performance value indicated by the dynamic distribution information and the performance value indicated by the thermal distribution information.

[0039] In a possible implementation manner of the first aspect, performing dynamic response analysis on the simulation model to obtain dynamic distribution information includes:

[0040] Putting one end of the simulation model in contact with the X standard surface in the three-dimensional space, and setting the contact mode to fixed contact;

[0041] Setting a load on the simulation model, and determining impact load information according to an impact force formula; wherein the impact load information is used to indicate a load value;

[0042] Based on the impact load information, a time step and a simulation time are set for the simulation model, and then the simulation model is simulated at least three times according to numerical integration to obtain first simulation result information; wherein the first simulation result information is used to reflect the stress, strain and displacement at each simulation time obtained after the dynamic response simulation of the simulation model;

[0043] The dynamic distribution information is determined according to the first simulation result information.

[0044] In a possible implementation manner of the first aspect, performing thermal analysis on the simulation model to obtain thermal distribution information includes:

[0045] Making one end of the simulation model contact with the X standard surface in the three-dimensional space, and setting the contact mode to fixed contact or movable contact;

[0046] Setting temperature boundary conditions for the simulation model, setting and applying thermal load, time step and simulation time, and then performing at least three thermal simulations to obtain second simulation result information; wherein the second simulation result information is used to reflect the temperature field conditions, thermal stress conditions and heat flux density conditions at each simulation time obtained after thermal simulation of the simulation model, and the thermal load is a heat source, a transient load or a steady-state temperature field;

[0047] The heat distribution information is determined according to the second simulation result information.

[0048] In a second aspect, an embodiment of the present application provides a copper bar manufacturing control system, comprising:

[0049] An acquisition unit, used for acquiring order information of the copper bar to be manufactured; wherein the order information is used for representing the manufacturing requirements of the copper bar to be manufactured;

[0050] A generating unit, configured to generate recommended processing parameter information and target copper bar information based on the order information; wherein the recommended processing parameter information is used to indicate processing parameters corresponding to the manufacturing requirements of the copper bar to be manufactured, and the target copper bar information includes the appearance requirements and target model of the copper bar to be manufactured;

[0051] A processing unit, used for establishing a virtual processing system according to the recommended processing parameter information and the appearance requirements;

[0052] A result unit, used to determine the actual working parameter information of the copper bar to be manufactured according to the virtual processing system; wherein the actual working parameter information is used to indicate the processing parameters actually used in producing the copper bar to be manufactured;

[0053] A control unit is used to control the manufacturing device to manufacture the copper rod based on the actual working parameter information.

[0054] In a third aspect, an embodiment of the present application provides a copper rod manufacturing control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method described in any one of the first aspects above.

[0055] In a fourth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a copper bar manufacturing control device, the copper bar manufacturing control device executes the copper bar manufacturing control method described in any one of the first aspects above.

[0056] It can be understood that the beneficial effects of the second to fourth 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

[0057] 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.

[0058] Figure 1 It is a flow chart of a copper bar manufacturing control method provided in one embodiment of the present application;

[0059] Figure 2 It is a schematic diagram of the implementation flow of step S300 and step S400 in the copper bar manufacturing control method provided in one embodiment of the present application;

[0060] Figure 3 It is a schematic diagram of the implementation flow of step S421 in the copper bar manufacturing control method provided in one embodiment of the present application;

[0061] Figure 4 It is a schematic diagram of the implementation process of step S430 in the copper bar manufacturing control method provided in one embodiment of the present application;

[0062] Figure 5 It is a schematic diagram of the implementation process of step S440 in the copper bar manufacturing control method provided in one embodiment of the present application;

[0063] Figure 6 It is a structural schematic diagram of a copper bar manufacturing control system provided in an embodiment of the present application;

[0064] Figure 7 It is a structural schematic diagram of a control device of a copper rod manufacturing control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0065] 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.

[0066] 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.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] Copper rods are rod-shaped materials made of copper by casting or extrusion. Copper rods are generally round, square, hexagonal or other cross-sectional shapes. Copper rods are mainly used in electrical, electronic, construction and machinery manufacturing fields due to their excellent electrical conductivity, thermal conductivity, corrosion resistance and good processing performance.

[0072] In the related art, during the manufacturing process of copper bars, since each customer's order is different and the requirements for the copper bars to be produced are different, the processing parameters of the copper bars are different; if multiple orders need to be processed at the same time, the existing technology requires technicians to analyze the specific information of each order and then debug the manufacturing equipment multiple times before production can be carried out. The copper bars manufactured by the newly debugged manufacturing equipment are of poor quality when working, which increases the manufacturing time, increases the workload of technicians, and leads to low production efficiency.

[0073] In order to solve the above problems, the embodiments of the present application provide a copper rod manufacturing control method and equipment.

[0074] In this method, the copper bar manufacturing control method provided by the present application can obtain the order information of the copper bar to be manufactured, and the manufacturing requirements of the copper bar can be clearly understood. The recommended processing parameter information and the target copper bar information generated based on the order information can improve the quality control when manufacturing the copper bar, and can improve the consistency of the internal structure of the copper bar, thereby improving its mechanical properties and electrical conductivity. According to the recommended processing parameter information and the appearance requirements, a virtual processing system is established, and potential problems can be found before the product is put into large-scale production, and adjustments and optimizations can be made in advance to reduce material waste and production costs. A safe environment experiment can also be provided without worrying about damage to the actual equipment, so as to shorten the product development cycle. According to the virtual processing system, the actual working parameter information of the copper bar to be manufactured is determined, and the size, shape and surface finish of the copper bar can be effectively controlled to meet the needs of different industrial applications, optimize the working parameters, reduce material waste and processing time, and control the manufacturing device to manufacture the copper bar based on the actual working parameter information to improve the uniformity and reliability of the product, optimize the manufacturing process, and improve production quality and efficiency.

[0075] The copper bar manufacturing control method provided in the embodiment of the present application can be applied to the copper bar manufacturing control equipment. In this case, the copper bar manufacturing control equipment is the executor of the copper bar manufacturing control method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the copper bar manufacturing control equipment.

[0076] For example, the copper bar manufacturing control equipment includes a manufacturing device and a control device; wherein the manufacturing device and the control device are connected in communication; the manufacturing device includes a smelting part, a continuous casting part, a rolling part, an annealing part, a drawing part and a surface treatment part; wherein the smelting part is used to melt the copper raw material (such as high-purity cathode copper) at high temperature to form a molten state. Deoxidizers and impurity removers may need to be added during the smelting process to ensure the purity of the copper liquid, such as a smelting furnace, etc., but not limited to this. The continuous casting part is to pour the molten copper liquid into the continuous casting machine, and the copper liquid is quickly solidified and formed by circulating cooling water to obtain a rough copper rod, such as a continuous casting machine; the rolled part is to roll the rough copper rod obtained by continuous casting, and gradually reduce its diameter through repeated extrusion, stretching and shaping, and make its surface smooth, such as a rolling mill, etc., but not limited to this. The annealing part is to eliminate the stress in the rolling process and improve the mechanical properties of the copper rod. The copper rod is heated to a specific temperature and then slowly cooled to room temperature, such as an annealing furnace, etc., but not limited to this. The drawn part is capable of drawing the copper rod, reducing the diameter and forming a smooth and uniform surface, such as drawing, etc., but not limited to this. The surface treated part is capable of surface treating the annealed copper rod, such as polishing, which can be a polishing machine, etc., but not limited to this. The control platform in the control device manufacturing workshop or the control console in the control control room can also be a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a desktop computer, a smart large screen, a smart TV, a computer, etc.

[0077] In order to better understand the copper bar manufacturing control method provided in the embodiment of the present application, the specific implementation process of the copper bar manufacturing control method provided in the embodiment of the present application is exemplarily introduced below.

[0078] Figure 1 A schematic flow chart of a copper bar manufacturing control method provided in an embodiment of the present application is shown, and the copper bar manufacturing control method comprises:

[0079] S100, obtaining order information of the copper bars to be manufactured; wherein the order information is used to characterize the manufacturing requirements of the copper bars to be manufactured.

[0080] For example, order information can be obtained through an order form submitted by a customer; order information for copper bars to be manufactured can be obtained through an electronic data interchange (EDI) system; an electronic data interchange (EDI) system is capable of allowing manufacturers and customers to automatically exchange order information. The manufacturer's internal order management system can be integrated with a customer relationship management (CRM) system to obtain the accuracy of order information. In some special cases (no network), order information can also be sent to the system by phone or fax. Among them, the manufacturing requirements of copper bars can be specific sizes, surface treatment types, material purity levels, etc. For example, a customer may require a copper bar with a diameter of 100 mm and a length of 2 meters, and require the surface to be finely polished to achieve a mirror effect. In addition, the customer may also specify that the conductivity of the copper bar must meet a certain standard to meet its application requirements in electronic equipment.

[0081] S200, generating recommended processing parameter information and target copper bar information based on the order information; wherein the recommended processing parameter information is used to indicate processing parameters corresponding to the manufacturing requirements of the copper bar to be manufactured, and the target copper bar information includes the appearance requirements and the target model of the copper bar to be manufactured.

[0082] It can be understood that the appearance requirement can be appearance requirement data, and the target model can be target model data; wherein the appearance requirement data is the geometric shape, dimensional tolerance, and surface treatment characteristics of the copper bar. For example, the target model data can include geometric parameters such as the diameter, length, surface roughness, roundness, and straightness of the copper bar, but is not limited thereto. The target model data can be physical performance parameters such as hardness and conductivity, but is not limited thereto.

[0083] Exemplarily, based on the manufacturing requirements (specific size, surface treatment type, material purity level, etc.) of the copper bars to be manufactured in the order information, generation processing can be performed to obtain recommended processing parameter information and target copper bar information. For example, the generation processing may be that after obtaining the order information, the copper bar manufacturing control system will parse out the production parameters corresponding to the manufacturing requirements according to the manufacturing requirements. Among them, configuring the production parameters corresponding to the manufacturing requirements may, for example, be that the control system adjusts the settings of the cutting machine according to the size requirements of the copper bars, or selects a suitable polishing machine and polishing materials according to the surface treatment requirements. For the conductivity requirement, the control system may adjust the parameters of the annealing process so that the conductivity of the final product meets the standard. Parsing out the production parameters corresponding to the manufacturing requirements may be receiving order data and parsing the order information,

[0084] Based on the analyzed order information, combined with the process standards and historical production data of copper bar manufacturing, the processing parameters are obtained. The processing parameters may include temperature, pressure, speed, etc., to ensure the improvement of the manufacturing quality of the bars.

[0085] S300, establishing a virtual processing system according to the recommended processing parameter information and appearance requirements.

[0086] It can be understood that parameters and establishment requirements are obtained from recommended processing parameter information and appearance requirements, and then simulation is performed to establish a virtual processing system.

[0087] Exemplarily, the simulation is established by first collecting and analyzing the recommended processing parameter information and appearance requirements, and then using computer-aided design software to create a three-dimensional model of the copper rod. The three-dimensional model is imported into computer-aided manufacturing software for analysis to obtain the corresponding processing requirements, and the corresponding processing equipment is obtained according to the processing requirements, and a virtual processing system can be simulated and established.

[0088] In one possible implementation, see Figure 2 , S300, establish a virtual processing system according to the recommended processing parameter information and appearance requirements, including:

[0089] S310, obtaining first establishment information based on the recommended processing parameter information; wherein the first establishment information is used to indicate production process parameters for manufacturing the copper rod to be manufactured.

[0090] Exemplarily, by receiving the recommended processing parameter information, process parameters are extracted from the recommended processing parameter information, which may include but are not limited to process parameters such as temperature, pressure, and speed. Among them, according to the material properties of the copper bar and the recommended processing parameters, a preliminary processing model is established, and the preliminary processing model is simulated and tested to analyze the processing performance of the copper bar under the recommended parameters, including possible defects, stress distribution, etc. According to the results of the simulation test, the optimal combination of processing parameters is obtained, which helps to ensure the quality stability and consistency of the copper bar in actual production.

[0091] S320, obtaining second establishment information based on the appearance requirement; wherein the second establishment information is used to indicate the size specification parameters of the copper rod to be manufactured.

[0092] Exemplarily, by receiving the appearance requirement, analyzing the appearance information from the appearance requirement, which may include but is not limited to appearance parameters such as size and shape, the parameters are extracted to obtain the second establishment information.

[0093] S330, establishing a system according to the first establishing information and the second establishing information to obtain a virtual processing system.

[0094] It can be understood that the system establishment can be obtained by combining the first establishment information and the second establishment information to obtain a virtual processing system. Exemplarily, the first establishment information and the second establishment information are integrated into a unified platform, and the virtual processing system is obtained by performing a joint analysis, wherein the integration into the platform can usually be completed by integrated software, by reading and parsing the model data and the control parameters of the manufacturing equipment.

[0095] With this setup, by establishing a virtual processing system, potential problems can be discovered before the product goes into mass production, and adjustments and optimizations can be made in advance to reduce material waste and production costs, thereby shortening the product development cycle.

[0096] S400, determining actual working parameter information of the copper bar to be manufactured according to the virtual processing system; wherein the actual working parameter information is used to indicate the processing parameters actually used in producing the copper bar to be manufactured.

[0097] Exemplarily, the virtual machining system is simulated to obtain the simulated machining situation, and the actual working parameter information of the copper bar to be manufactured is determined according to the simulated machining situation. When determining the actual working parameter information of the copper bar to be manufactured, the parameters simulated in the virtual machining system are referred to, and these parameters include but are not limited to cutting speed, feed rate, coolant usage, and tool selection. Through the simulated machining process, the performance of the copper bar under different machining conditions can be observed, thereby providing guidance for actual production. For example, after the virtual machining system simulates the machining, the data in the simulated machining process is exported, the exported data is analyzed, the factors affecting the machining quality are found, the parameters are adjusted, and the actual working parameter information is obtained. Among them, the data in the simulated machining process may include dimensional changes, stress distribution, temperature changes, etc.; the factors affecting the machining quality may be that if stress concentration is found in a certain area, the cutting speed or feed rate is adjusted to reduce the stress. Parameter adjustment may be to adjust the machining parameters according to the analysis results, which may include changing the tool type, adjusting the cutting angle, optimizing the use of coolant, etc., which can improve the machining parameters of the copper bar to achieve the expected effect in actual production, improve production efficiency and product quality.

[0098] In one possible implementation, see Figure 2 , S400, determining actual working parameter information according to the virtual machining system, including:

[0099] S410, using a virtual processing system to simulate the manufacturing of the copper bar to obtain a simulation model of the copper bar to be manufactured.

[0100] It can be understood that the virtual processing system is used to perform virtual manufacturing on the copper bar to obtain a simulation model of the copper bar to be manufactured. Exemplarily, when performing virtual manufacturing of the copper bar, the manufacturing requirements can be determined first, the manufacturing requirements can be input into the virtual processing system, and the manufacturing can be simulated according to the manufacturing steps and manufacturing materials. Among them, the manufacturing steps can include processing parameters, such as tool path, cutting speed, feed rate and cooling conditions (required cooling temperature), etc.

[0101] S420, performing appearance analysis based on the simulation model to obtain model information; wherein the model information is used to reflect the appearance of the simulation model.

[0102] It can be understood that the appearance analysis can be to perform appearance observation processing on the simulation model to obtain model information;

[0103] For example, when performing appearance observation processing, the simulation model is obtained, and data and parameters related to the simulation model, such as size, shape, color and texture, are collected, and then the appearance of the simulation model is obtained by using image processing technology and visualization processing. Among them, for example, image processing technology can use three-dimensional scanning technology to scan and obtain the size, shape, color and texture of the object. Visualization processing is to use rendering technology to visually process the model, and its appearance characteristics can be intuitively observed; rendering technology is to adjust the lighting, shadow and material properties to simulate different observation conditions and environmental effects.

[0104] In one possible implementation, see Figure 3 , S421, perform appearance analysis based on the simulation model to obtain model information, including:

[0105] S4211, import the simulation model into the three-dimensional space of the simulation tool so that the axis of the simulation model is parallel to the Z axis; wherein the end face of the simulation model at one end perpendicular to the X axis is the bottom face, the end face of the other end opposite to the bottom face is the top face, the surface formed by the X axis and the Y axis is determined as the X standard surface, and the surface where the Y axis and the Z axis are located is determined as the Y standard surface.

[0106] Exemplarily, the coordinate system of the simulation model is consistent with the coordinate system of the simulation tool. Importing into the simulation tool may be loading the model file into the three-dimensional space through an import function provided by the simulation tool. Check whether the model is correctly parallel to the Z axis, and adjust the position and direction of the model through the rotation and scaling tools so that its axis is completely consistent with the Z axis.

[0107] The bottom and top surfaces of the simulation model can be set by selecting the end surface perpendicular to the X-axis as the bottom surface according to the geometric characteristics of the model, and making the end surface parallel to the X-axis, and the other end surface opposite to the X-axis as the top surface. In addition, the plane cutting function of the simulation tool can be used to determine the positions of the bottom and top surfaces.

[0108] The X standard plane is the plane formed by the Y axis and the X axis, while the Y standard plane is the plane formed by the Y axis and the Z axis. In the simulation tool, you can select the corresponding axis and end face and use the plane cutting function to determine the positions of these two standard planes. This lays the foundation for subsequent appearance analysis and information extraction. In this way, the accuracy and reliability of the appearance analysis results of the simulation model can be achieved.

[0109] S4212, projecting from the top surface to the bottom surface onto the X standard plane to determine the first projection plane.

[0110] Exemplarily, the model is imported and positioned in the three-dimensional space of the simulation tool, the top surface of the model is selected as the starting point of the projection, and in the simulation tool, the projection function is activated, and the projection is selected from the top surface to the bottom surface, so that the projection direction is parallel to the X-axis, so that the projection can accurately fall on the X standard plane, and the projection parameters can be adjusted by adjusting the resolution and shadow effect of the projection to observe the projection results more clearly. Through the above steps, the first projection surface can be accurately determined, providing an accurate reference for subsequent appearance analysis and information extraction. This projection method not only improves the accuracy of the analysis, but also improves the reliability of the simulation results.

[0111] S4213, perform side projection on the simulation model, project it onto the Y standard plane, and determine the second projection plane.

[0112] Exemplarily, by determining that the simulation model has been correctly loaded into the tool, select the Y standard plane as the projection target plane; before performing the side projection, check the model and make the side of the simulation model parallel to the Y standard plane, and use the rotation and movement functions in the tool to adjust the position of the model, and adjust the projection parameters to perform the projection to obtain the second projection surface. Projection parameters include resolution and shadow effect. In addition, after the second projection surface is determined, the size, shape and other characteristics of the second projection surface can be obtained. By accurately determining the second projection surface, an accurate reference can be provided for subsequent appearance analysis and information extraction. This precise side projection method not only improves the accuracy of the analysis, but also improves the reliability of the simulation results.

[0113] S4214, determining model information according to the first projection surface and the second projection surface.

[0114] It can be understood that the model information can be determined by obtaining the model information through the shape difference between the first projection surface and the second projection surface; the shape difference can be that the shape of the first projection surface is a circle, and the shape of the second projection surface is an ellipse, and the circle and the ellipse are overlapped to obtain the overlapping and non-overlapping areas of the circle and the ellipse, and the model information can be obtained.

[0115] With such a setting, by comparing the projection graphics, the situation between the first projection surface and the second projection surface can be obtained, and accurate simulation information can be obtained to pave the way for subsequent analysis.

[0116] S430, performing a comparative test on the model information and the target model to obtain appearance result information; wherein the appearance result information is used to reflect the appearance difference between the simulation model and the target model.

[0117] It can be understood that by performing a comparative test on the model information and the target model, the difference between the model information and the target model after the test is completed can be obtained; illustratively, when performing a comparative test on the model information and the target model, the coordinate systems of the two models are aligned, which can be achieved by using a rigid body transformation in three-dimensional space to make the position and direction of the simulation model and the target model consistent in space, and then use high-precision scanning technology to detect the two models to obtain the difference in appearance. After obtaining the appearance result information, the point cloud registration technology can be used to align the point cloud data of the two models, and by calculating the distance difference between the point clouds, the appearance difference between the simulation model and the target model can be identified. Among them, the point cloud registration technology performs three-dimensional scanning on the two models by calculating the distance difference between the point clouds to obtain their respective point cloud data.

[0118] Use the point cloud registration algorithm to align the point cloud data of the two models, then calculate the distance difference between the registered point clouds to generate a difference map, apply image processing technology to analyze the difference map, extract the features of the appearance difference, and then you can get the appearance difference.

[0119] In one possible implementation, see Figure 4 , S430, performing a comparison test on the model information and the target model to obtain appearance result information, including:

[0120] S431, import the target model into the three-dimensional space of the simulation tool, so that the axis of the target model is parallel to the Z axis; wherein the end face of the target model perpendicular to the X axis is the bottom face, the end face of the other end opposite to the bottom face is the top face, the surface formed by the X axis and the Y axis is determined as the X standard surface, and the surface where the Y axis and the X axis are located is determined as the Y standard surface.

[0121] For example, the operation steps can be to open the import function of the simulation tool, select the "Import Model" option, browse and select the 3D data file of the target model in the pop-up file selection window, confirm that the file path is correct, and click the "Open" or "Import" button to load the model file into the simulation tool. After loading, the model will appear in the default position in the three-dimensional space. At this time, if the axis of the model is not parallel to the Z axis, use the rotation function provided by the simulation tool, select the model and rotate it around the X and Y axes until the axis of the model is parallel to the Z axis. In addition, in order to align it precisely, you can use the alignment auxiliary tools of the simulation tool, such as the "Align to Plane" or "Align to Axis" function, to align the bottom and top surfaces of the model to the X standard surface and Y standard surface.

[0122] S432, projecting the target model onto the X standard plane to obtain a third projection plane, and projecting the target model onto the Y standard plane to obtain a fourth projection plane.

[0123] For example, the operation steps can be to find and click the "Projection" option under the "View" menu in the interface of the simulation tool, and select "Plane Projection" as the projection type in the pop-up projection setting window. In the "Projection Direction" option, select "X Axis" as the projection axis, and after confirming that the projection parameters are set correctly, click the "Generate Projection" button. The simulation tool will automatically calculate and generate the third projection surface of the target model on the X standard plane. To obtain the fourth projection surface of the target model on the Y standard plane, you can return to the "View" menu and click the "Projection" option again. In the projection setting window, select "Plane Projection" as the projection type. In the "Projection Direction" option, select "Y Axis" as the projection axis, and click the "Generate Projection" button. The simulation tool will automatically calculate and generate the fourth projection surface of the target model on the Y standard plane. The projection surfaces of the target model on the X and Y standard planes can be obtained. Improve the accuracy of the analysis and the detail of the report.

[0124] S433, performing projection surface comparison on the first projection surface indicated by the first projection information and the third projection surface indicated by the third projection information to obtain first result information; wherein the first result information is used to reflect the projection surface difference between the first projection surface and the third projection surface.

[0125] It can be understood that the first result information can be determined by obtaining the first result information through the shape difference between the first projection surface and the third projection surface. The shape difference can be that the shape of the first projection surface is a circle and the shape of the third projection surface is an ellipse, and the circle and the ellipse are overlapped to obtain a non-overlapping area between the circle and the ellipse, and the first result information can be obtained.

[0126] With such arrangement, by comparing the projection graphics, the situation between the first projection plane and the third projection plane can be obtained, and the difference between the first projection plane and the third projection plane can be determined, which provides a basis for subsequent analysis.

[0127] S434, performing projection surface comparison on the second projection surface indicated by the second projection information and the fourth projection surface indicated by the fourth projection information to obtain second result information; wherein the second result information is used to reflect the projection surface difference between the second projection surface and the fourth projection surface.

[0128] It can be understood that the second result information can be determined by obtaining the second result information through the shape difference between the second projection surface and the fourth projection surface. The shape difference can be that the shape of the second projection surface is a polygon, and the shape of the third projection surface is a circle, and the circle and the polygon are overlapped to obtain the non-overlapping area of ​​the circle and the polygon, and the second result information can be obtained.

[0129] With such arrangement, by comparing the projection patterns, the situation between the first projection plane and the third projection plane can be obtained, and the difference between the first projection plane and the third projection plane can be determined, which serves as a basis for subsequent analysis.

[0130] S435: Determine appearance result information according to the first result information and the second result information.

[0131] For example, the first result information and the second result information can be summarized into a data table, and then analyzed, compared and visualized to determine the appearance result information. The analysis and comparison can use statistical analysis software to compare and analyze the first result information and the second result information. Calculate the mean, standard deviation and other statistics of each indicator to evaluate the consistency between the product appearance and the design standard; the visual analysis can be through visualization techniques such as heat maps and difference maps to intuitively display the difference distribution between the product appearance and the design standard, which helps to quickly identify the area and degree of appearance problems.

[0132] S440, performing performance simulation on the simulation model to obtain actual simulation information; wherein the actual simulation information is used to reflect the process performance value of the simulation model.

[0133] For example, when simulating the performance of a simulation model, the model is calculated according to the set physical conditions and material properties. During the simulation process, different variables, such as temperature, pressure, speed, etc., can be set to observe the performance of the model under various conditions. After the simulation is completed, a series of data and charts will be generated, which are the actual simulation information. By analyzing these data, you can understand the process performance values ​​of the model under different conditions, such as stress distribution, heat conduction efficiency, fluid dynamics characteristics, etc.

[0134] By setting up in this way and following the above steps, the process performance values ​​of the simulation model can accurately reflect the performance in the actual production process, thereby providing powerful decision support for product design and manufacturing.

[0135] In one possible implementation, see Figure 5 , S440, performing performance simulation on the simulation model to obtain actual simulation information, including:

[0136] S441, obtaining simulation condition information of the copper rod to be manufactured; wherein the simulation condition information is used to indicate the physical properties of the simulation model, and the physical properties include elastic modulus, Poisson's ratio, yield strength, and thermal expansion coefficient.

[0137] To obtain information about the simulation conditions, for example, a material handbook or technical specification sheet for a reference copper bar can be used to provide basic physical properties of the material, such as elastic modulus, Poisson's ratio, yield strength, and thermal expansion coefficient.

[0138] Secondly, if the material manual does not provide enough information, or a more accurate simulation is needed for a specific batch of copper bars, laboratory tests can be performed. Laboratory tests include tensile tests, compression tests, and thermal expansion tests to obtain the actual physical property values ​​of copper bars. In addition, historical data and empirical formulas can be used to estimate simulation condition information. In some cases, if simulation data for similar materials or products are available, these data can be used as a reference for preliminary simulation. At the same time, the simulation conditions are adjusted according to the empirical formula to adapt to the specific copper bar characteristics. Finally, finite element analysis can also be used to simulate the behavior of copper bars under different conditions. By entering the initial physical properties of the copper bar and optimizing these property values ​​through simulation results.

[0139] S442, setting the format of the simulation model to a standard format, and importing the simulation model in the standard format into the test tool to select a mesh type and distribute the mesh, and applying the simulation condition information to the simulation model for preprocessing.

[0140] For example, the format of the simulation model is set to the standard format, and the simulation model in the standard format is imported into the test tool for mesh type selection and mesh distribution. The operation steps for applying the simulation condition information to the simulation model for preprocessing can be to open the corresponding simulation software and select the "Import" option in the "File" menu. In the pop-up dialog box, browse to the file location where the simulation model is stored and select the model file to be imported. After confirming the import, the software will automatically read the model data and display it on the work interface. Click the "Mesh Type Selection" button in the "Mesh" toolbar to select the appropriate mesh type, such as tetrahedron, hexahedron or hybrid mesh, according to the geometric characteristics and simulation requirements of the copper bar. After the selection is completed, click the "Mesh Distribution" option to set the density and distribution of the mesh according to the complexity of the model and the calculation accuracy requirements. In addition, the key areas of the model require denser meshes to improve the calculation accuracy. Then apply the simulation condition information to the model. This is usually done through the "Simulation Conditions" or "Material Properties" menu items. In the pop-up dialog box, enter the initial physical properties of the copper bar, such as elastic modulus, Poisson's ratio, thermal expansion coefficient, etc. If required, boundary conditions and load cases can also be set.

[0141] S443, performing dynamic response analysis on the simulation model to obtain dynamic distribution information; wherein the dynamic distribution information is used to indicate the performance value of the simulation model under the action of dynamic analysis.

[0142] It can be understood that by defining the dynamic characteristics of the model, selecting a suitable numerical analysis method, and comparing the obtained dynamic distribution information with the design requirements, the dynamic distribution information is obtained. Among them, the dynamic characteristics include parameters such as mass, damping and stiffness, which are usually obtained through experimental data or calculated according to theory. The numerical analysis method can be, for example, finite element analysis (FEA) or direct integration method for analysis. In addition, in finite element analysis, the model is divided into many small elements, and the dynamic behavior of each element is described by a set of discrete equations. Then, by solving these equations, the dynamic response of the entire model can be obtained. In the direct integration method, time is divided into a series of small time steps, and the response of the model in each time step is calculated by step-by-step integration. In other methods, in order to obtain dynamic distribution information, sensors or numerical simulation techniques can also be used to monitor the response of the model under dynamic excitation. For example, the displacement, velocity and acceleration parameters of the model when it is subjected to impact or vibration can be measured, and by analyzing the changes of these parameters over time, the dynamic performance values ​​of the model, such as resonant frequency, vibration mode and damping ratio, can be obtained.

[0143] In a possible implementation, S443, performing dynamic response analysis on the simulation model to obtain dynamic distribution information includes:

[0144] S4431, bring one end of the simulation model into contact with the X standard surface in the three-dimensional space, and set the contact mode to fixed contact.

[0145] It can be understood that in the specific implementation process, the three-dimensional geometric data of the model is imported into the simulation software. One end of the model is selected as the contact point, which usually involves defining one or more nodes at the corresponding part of the model. A virtual X standard surface is created in the software, which is in the same three-dimensional space as the contact point of the model. The contact point of the model is associated with the X standard surface (which can be achieved by defining a contact pair). The contact pair consists of two surfaces, one is the contact point of the model and the other is the X standard surface. When defining a contact pair, it is necessary to specify the contact type, which is fixed contact here, which means that the contact point of the model will be restricted to the X standard surface and no relative displacement is allowed.

[0146] S4432, setting a load for the simulation model, and determining impact load information according to an impact force formula; wherein the impact load information is used to indicate a load value.

[0147] It can be understood that the impact force formula is F = △P / △T; where F is the impact force (unit: Newton, N), △P is the change in momentum of the object (unit: kilogram meter per second, kg·m / s), and △T is the time interval between the impacts (unit: seconds,

[0148] s); the dynamic change △P is calculated by the mass M of the object and the speed change △V: △P=M×△V; therefore, the complete impact force formula is F=(M×△V) / △T. Among them, the impact load information is calculated according to the impact force formula to obtain the load value.

[0149] S4433, based on the impact load information, set the time step and simulation time for the simulation model, and then simulate the simulation model at least three times according to numerical integration to obtain first simulation result information; wherein the first simulation result information is used to reflect the stress, strain and displacement conditions at each simulation time obtained after the dynamic response simulation of the simulation model.

[0150] It can be understood that the time step can be the length of time, for example, it can be 30 seconds, 60 seconds or 90 seconds, etc., but it is not limited thereto. The simulation time can be a simulation time point. For example, there is a time period of 1 to 10 seconds, and the simulation time is 7 seconds, then the stress, strain and displacement conditions at the seventh second can be obtained. According to the impact load information, the time step and simulation time are set and adjusted, and the simulation model is simulated three times to obtain the first simulation result information. Among them, the three simulations are to set the time step and the simulation time three times to obtain three stress conditions, three strain conditions and three displacement conditions.

[0151] S4434, determine dynamic distribution information according to the first simulation result information.

[0152] Exemplarily, the stress, strain and displacement conditions in the first simulation result information are extracted, and curve graphs and distribution graphs are drawn through these data. The dynamic response of the model at different time points can be intuitively displayed, and the dynamic distribution information can be determined. For example, the statistical analysis method can use the least squares method to fit the curve, mainly by determining the average trend and fluctuation range of the model response. In addition, probability distribution functions (such as normal distribution, Weibull distribution, etc.) can also be used to describe the randomness of model parameters, so as to more accurately predict the performance of the model in practical applications.

[0153] The specific operation steps may be to extract and organize stress, strain and displacement data, draw a curve of displacement, velocity, acceleration and other parameters changing with time, determine the probability distribution type of the parameters, and use the least square method or other fitting techniques to fit the curve to obtain the average trend of the model response. According to the fitting results and probability distribution analysis, the dynamic distribution information of the model is determined, and all analysis processes and results are recorded to finally obtain the dynamic distribution information.

[0154] S444, performing thermal analysis on the simulation model to obtain thermal distribution information; wherein the thermal distribution information is used to indicate the performance value of the model simulation under the action of thermal analysis.

[0155] It can be understood that thermal analysis is required because copper bars generate heat (Joule heat) due to the current when conducting electricity. The increase in temperature will cause thermal expansion, which may cause structural deformation or thermal expansion.

[0156] For example, boundary conditions and hotspot settings are performed, and then the results are obtained through simulation operation, and then the results are analyzed. Among them, boundary conditions can include current conditions and thermal boundary conditions, hotspot settings can be transient thermal analysis, time step and mesh division; current conditions can be that the copper bar is passed through a current density of 5×10 6 A / m 2 The thermal boundary condition can be that the copper rod is exposed to the air, the surface is set with convection boundary conditions, the ambient temperature is 25℃, and the convection heat transfer coefficient is set to 50W / m 2·K, simulating the previous situation of air on the copper bar. Transient thermal analysis can be used to simulate the temperature distribution and time change when the current passes through the copper bar. The time step can be set to 0.1 seconds and the total simulation time is 10 seconds to capture the temperature change during the power-on process. The mesh division can use a tetrahedral mesh with a mesh size of 2mm, and the refinement area is the part where the current flows through, so as to accurately calculate the ear joule heat. The simulation run can be a transient thermal analysis using simulation software. The simulation software will calculate the temperature field distribution of the copper bar when the current is on, as well as the thermal stress caused by the temperature change. The simulation software can be ANSYS or COMSOL. The result analysis, for example, can be that after 10 seconds of power-on, the temperature distribution of the copper bar is uneven, the current density increases, the regional temperature rises significantly, the highest temperature reaches 150°C, and the temperature of the part close to the boundary remains low (about 50°). In addition, the thermal stress distribution is due to the existence of the temperature gradient, and a large thermal stress is generated inside the copper bar. The thermal concentration stress is in the area with large temperature changes, and the maximum thermal stress is 100MPa. Thermal expansion is the thermal expansion of the copper rod along its length, with an expansion of about 0.1 mm. This thermal expansion causes slight deformation of the structure, especially at both ends due to the restrictions of fixed boundary conditions.

[0157] In a possible implementation, S444, performing thermal analysis on the simulation model to obtain thermal distribution information includes:

[0158] S4441, bring one end of the simulation model into contact with the X standard surface in the three-dimensional space, and set the contact mode to fixed contact or movable contact.

[0159] It can be understood that in the specific implementation process, the created model file is imported, one end of the model is selected as the contact point, and the contact condition is set to "fixed contact" or "active contact". Fixed contact means that one end of the model will be completely fixed on the X standard surface, and no movement is allowed; while active contact allows the model to have a certain degree of freedom of movement on the contact surface, but is still constrained by the contact surface, but does not allow a gap between the contact point of the model and the X standard surface.

[0160] S4442, setting the temperature boundary conditions for the simulation model, setting and applying the thermal load, time step and simulation time, and then performing at least three thermal simulations to obtain second simulation result information; wherein the second simulation result information is used to reflect the temperature field conditions, thermal stress conditions and heat flux density conditions at each simulation time obtained after performing thermal simulation on the simulation model, and the thermal load is a heat source, a transient load or a steady-state temperature field.

[0161] It can be understood that the temperature boundary condition can be used in the copper rod manufacturing control. By applying a heat load, the thermal response of the copper rod at different temperatures can be simulated. The setting of the time step determines the accuracy and calculation amount of the simulation, and the simulation time is a time point (for example, one second between 10 and 20 seconds).

[0162] Exemplarily, when setting the temperature boundary conditions, it can be by determining the external environment temperature of the model and the heat exchange conditions with the environment, including the setting of convection, radiation and thermal conductivity boundary conditions. For example, the convection heat transfer coefficient between the model surface and the air, as well as the radiation emissivity and absorptivity of the model surface can be set. Furthermore, a heat load can be applied according to the actual application scenario. The heat load can be a concentrated heat source, such as a point heat source or a line heat source, or a distributed heat source, such as a surface heat source. The size and distribution form of the heat load can be set according to the actual situation. For example, in the heat dissipation analysis of electronic equipment, the power of the chip can be set as the heat source intensity.

[0163] The time step and simulation time can be set to a small enough time step to capture the details of the temperature change. The appropriate time step can be determined by estimation or experiment. The simulation time is set according to the characteristics of the thermal response. For example, it can be set to record the temperature field, thermal stress and heat flux density of the model at regular intervals starting from the application of the heat source; finally, perform at least three thermal simulations to ensure the stability and reliability of the results, and output the temperature distribution map, thermal stress distribution map and heat flux density distribution map. Then, by comparing the simulation results, the thermal performance of the model under different thermal loads and time conditions can be analyzed, and possible hot spots and thermal stress concentration areas can be identified.

[0164] S4443, determine heat distribution information according to the second simulation result information.

[0165] It can be understood that by reviewing the temperature field distribution diagram provided by the second simulation results, high temperature areas in the model can be identified, which correspond to thermal stress concentrations and potential hot spots, to determine the specific characteristics of the thermal distribution.

[0166] For example, the specific operation steps for determining the thermal distribution information may be to observe the temperature field distribution map, observe the temperature field distribution map, identify the high temperature area and analyze it to further understand the three-dimensional characteristics of heat transfer, and use the generation tool to generate the isotherm map of the thermal distribution or the heat flux density vector map; wherein the generation tool may be a thermal distribution map drawing tool. Identifying the high temperature area and analyzing it may be to use the hot spot analysis tool to analyze the high temperature area to determine the specific location of the thermal stress concentration and the hot spot, and the slicing function of the software may also be used to analyze the high temperature area to view the temperature distribution at different depths inside the model.

[0167] With this setting, the generated isotherm diagram and heat flux density vector diagram can intuitively display the temperature gradient and heat flow direction inside the copper bar, effectively controlling and optimizing the thermal behavior of the copper bar during the manufacturing process; in addition, using the hot spot analysis tool and the slicing function of the software, the specific location of thermal stress concentration and hot spots can be accurately located, which is helpful for preventing potential thermal damage and improving the quality of copper bars. It not only helps to optimize the heat treatment process of copper bars, but also provides data support for designing more efficient cooling systems. Improve the overall performance and reliability of the product.

[0168] S445 , determining actual simulation information according to the performance value indicated by the dynamic distribution information and the performance value indicated by the thermal distribution information.

[0169] It can be understood that the actual simulation information is determined by comparative analysis based on the performance values ​​indicated by the dynamic distribution information and the performance values ​​indicated by the thermal distribution information. The comparative analysis determines that the actual simulation information can be determined by means of chart overlay, information comparison, etc., to intuitively show the differences and correlations between the two. In addition, based on the comparison results, thermal performance problems that may occur in the dynamic operation of the model, such as local overheating, thermal stress concentration, etc., are identified. The model design can then be adjusted by changing material properties, adjusting the geometric structure, or optimizing the cooling system. The reliability and stability of the actual simulation information can be effectively improved based on the dynamic distribution information and thermal distribution information, further improving the manufacturing quality.

[0170] S450, combining and analyzing the appearance result information and the actual simulation information to obtain actual working parameter information.

[0171] It can be understood that the actual working parameter information is obtained by weighting the appearance result information and the actual simulation information according to different preparation requirements. For example, if the manufacturing requirements require an extremely smooth surface and minimal appearance defects, the weight of the appearance result can be greater than the actual simulation information, for example, the appearance result information can account for 60% of the total proportion, and the actual simulation information can account for 40% of the total proportion; on the contrary, the appearance result information accounts for 40% of the total proportion, and the actual simulation information accounts for 60% of the total proportion; wherein the proportion is only for example, and the appearance result information can also account for 70%, 80%, 65%, or 90% of the total proportion, and the actual simulation information can account for 30%, 20%, 35% or 10% of the total proportion, but not limited to this. It can also be that the actual simulation information accounts for 55%, 80%, 75%, or 95% of the total proportion, and the appearance result information accounts for 45%, 20%, 25% or 5% of the total proportion, but not limited to this.

[0172] In a possible implementation, S450, the appearance result information and the actual simulation information are combined and analyzed to obtain actual working parameter information, including:

[0173] S451, performing unified analysis on the appearance result information and the actual simulation information.

[0174] It can be understood that the appearance result information and the actual simulation information are data aligned; wherein the data alignment is to align the appearance result information and the actual simulation information in terms of time and space scales.

[0175] For example, the time alignment can be that the appearance result information is based on the observation of the actual device over a period of time, for example, the changes in the appearance of the device are recorded every hour, then the time step of the actual simulation information also needs to be adjusted to every hour to match it. In addition, for spatial alignment, the device position corresponding to the appearance result is consistent with the position coordinates in the simulation information. For example, the appearance result shows that a certain position of the device housing is worn, and the simulation parameters corresponding to this position are found in the simulation information, such as stress, temperature, etc.

[0176] S452, unified analysis is completed, appearance features are identified based on the appearance result information, and then actual simulation features related to the appearance features are found from the actual simulation information.

[0177] It is understood that the appearance feature may be a color change feature or a crack feature, but is not limited thereto. The actual simulation feature related to the appearance feature may be, for example, a color change feature caused by excessive temperature in the actual simulation information, or a crack feature caused by stress changes in the actual simulation information, but is not limited thereto.

[0178] For example, during the appearance inspection, it is found that the outer surface has a color change, which may be caused by excessive temperature. By identifying the characteristics of this color change, the color change characteristics of the appearance are matched with the actual simulation information to find the actual simulation characteristics related to these appearance characteristics. Among them, the color change characteristics include the size of the color change area and the degree of color change (for example, from light yellow to dark yellow). For the color change of the outer surface, the corresponding temperature distribution characteristics are found in the thermal simulation information, such as the highest temperature area, temperature gradient, etc.

[0179] S453, establishing association information between the appearance features and the simulation features.

[0180] Exemplarily, a mathematical correlation formula is established between the appearance features and the simulation features. For example, the appearance results show that there are traces of wear on the surface of the copper bar, which can be known to be related to factors such as the amount of wear and friction, friction time, and material hardness. Relevant parameters such as the magnitude of friction and contact time are obtained from the simulation information, and a correlation equation between the amount of wear (appearance features) and the friction force (actual simulation features) is established, such as wear = k × friction × friction time, where k is a coefficient related to material hardness, etc.

[0181] S454, adjusting the parameters based on the associated information to obtain actual working parameter information.

[0182] Exemplarily, in the correlation formula of the wear amount in S453, the wear amount under a certain friction force and friction time shown by the experimental data can be substituted into the equation to calculate the coefficient k. Adjust the parameters according to the actual situation. If it is found in actual application that the wear amount predicted by the model deviates from the actual appearance wear amount, it is necessary to check the parameters of the model and adjust the parameters. For example, consider the influence of factors such as aging of the material in the actual working environment on the hardness, so as to modify the coefficient k. Then use the established correlation formula and the adjusted parameters to substitute the appearance result information and the actual simulation information for comprehensive calculation to obtain the actual working parameter information. For example, when calculating the actual working load of mechanical parts, the appearance information of the wear amount and the simulated friction coefficient information are used to determine the information of each parameter, and the actual working parameter information is obtained by combining the correlation formula.

[0183] This setting can improve the accuracy and reliability of the copper bar manufacturing process. By real-time monitoring and adjusting parameters, the quality control of copper bars in the production process can be improved and the scrap rate can be reduced. Secondly, the control system can adjust parameters according to different working environments and conditions to adapt to various application scenarios. For example, in high temperature or high humidity environments, the control system can automatically adjust the cooling water flow and temperature to ensure the cooling effect of the copper bars and avoid the degradation of material properties due to excessive temperature. In addition, by continuously optimizing parameter settings, production efficiency can be improved and the safety and stability of the production process can be improved.

[0184] S500, controlling a manufacturing device to manufacture copper rods based on actual working parameter information.

[0185] Exemplarily, it can be real-time monitoring and collection of actual working parameters, including key parameters such as temperature, pressure, speed, etc. These data can be obtained in real time through sensors installed on the production line (which can be speed sensors, temperature sensors, and dynamic capture sensors). The manufacturing device compares the received data with the preset parameter range to determine whether there is a deviation. If a deviation is detected, the operating parameters of the relevant equipment will be adjusted so that the production process meets the predetermined standards. For example, if the temperature sensor detects that the temperature of the heating furnace is too high or too low, the fuel supply or cooling system will be adjusted to adjust the temperature to the optimal processing range. In addition, it is also possible to dynamically adjust parameters such as processing speed and pressure according to changes in actual working parameters to adapt to processing requirements at different stages. For example, in the drawing process of copper bars, as the diameter decreases, the drawing speed will gradually increase while maintaining an appropriate drawing force to ensure the surface quality and dimensional accuracy of the copper bars.

[0186] In this way, through this control based on actual working parameter information, the copper bar manufacturing control system can effectively respond to various changes in the production process, so that the quality stability and consistency of the final product can be guaranteed, which not only improves production efficiency but also reduces scrap rate and production time.

[0187] 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.

[0188] Corresponding to the copper bar manufacturing control method described in the above embodiment, the embodiment of the present application also provides a copper bar manufacturing control system, and each unit of the system can implement each step of the copper bar manufacturing control method. Figure 6 A structural block diagram of a copper rod manufacturing control system 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.

[0189] Reference Figure 6 , the copper bar manufacturing control system includes:

[0190] An acquisition unit, used for acquiring order information of the copper bar to be manufactured; wherein the order information is used for representing the manufacturing requirements of the copper bar to be manufactured;

[0191] A generating unit, configured to generate recommended processing parameter information and target copper bar information based on the order information; wherein the recommended processing parameter information is used to indicate processing parameters corresponding to the manufacturing requirements of the copper bar to be manufactured, and the target copper bar information includes the appearance requirements and the target model of the copper bar to be manufactured;

[0192] A processing unit, used for establishing a virtual processing system according to the recommended processing parameter information and appearance requirements;

[0193] A result unit is used to determine the actual working parameter information of the copper bar to be manufactured according to the virtual processing system; wherein the actual working parameter information is used to indicate the processing parameters actually used in producing the copper bar to be manufactured;

[0194] The control unit is used to control the manufacturing device to manufacture the copper rod based on the actual working parameter information.

[0195] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / 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.

[0196] Those skilled in the art 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 system 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 system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0197] The present application also provides a copper bar manufacturing control device, Figure 7 This is a schematic diagram of the structure of the control device of the copper rod manufacturing control device provided in one embodiment of the present application. Figure 7 As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 7 Only one is shown), at least one memory 61 ( Figure 7 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 control device 6 implements the steps in any of the above-mentioned copper bar manufacturing control method embodiments, or the control device 6 implements the functions of each module / unit in the above-mentioned system embodiments.

[0198] 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.

[0199] The control device 6 may be a computing device such as a desktop computer, a notebook, a palm computer, etc. The control device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that Figure 7 It is only an example of the control device 6 and does not constitute a limitation on the control device 6. 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 devices, buses, etc.

[0200] 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.

[0201] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the control device 6. 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. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0202] 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.

[0203] An embodiment of the present application provides a computer program product. When the computer program product is run on a copper bar manufacturing control device, the copper bar manufacturing control device implements the steps in any of the above method embodiments.

[0204] 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, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. 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 can at least include: any entity or device that can carry the computer program code to the copper rod manufacturing control device, 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, U disk, mobile hard disk, disk or optical disk, etc. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0205] 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.

[0206] 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.

[0207] In the embodiments provided in the present application, it should be understood that the disclosed copper bar manufacturing control system, equipment and method can be implemented in other ways. For example, the copper bar manufacturing control system and equipment embodiments described above are only 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.

[0208] 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.

[0209] 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 copper bar manufacturing control method, characterized in that: include: Obtaining order information of the copper bar to be manufactured; wherein the order information is used to characterize the manufacturing requirements of the copper bar to be manufactured; Generate recommended processing parameter information and target copper bar information based on the order information; wherein the recommended processing parameter information is used to indicate processing parameters corresponding to the manufacturing requirements of the copper bar to be manufactured, and the target copper bar information includes the appearance requirements and target model of the copper bar to be manufactured; Establishing a virtual processing system according to the recommended processing parameter information and the appearance requirements; Determine the actual working parameter information of the copper bar to be manufactured according to the virtual processing system; wherein the actual working parameter information is used to indicate the processing parameters actually used in producing the copper bar to be manufactured; Based on the actual working parameter information, a manufacturing device is controlled to manufacture the copper rod.

2. The copper bar manufacturing control method according to claim 1, characterized in that: The step of establishing a virtual processing system according to the recommended processing parameter information and the appearance requirements includes: Based on the recommended processing parameter information, first establishment information is obtained; wherein the first establishment information is used to indicate production process parameters for manufacturing the copper bar to be manufactured; Based on the appearance requirements, second establishment information is obtained; wherein the second establishment information is used to indicate the size specification parameters of the copper bar to be manufactured; The system is established according to the first establishment information and the second establishment information to obtain the virtual machining system.

3. The copper bar manufacturing control method according to claim 1, characterized in that: The actual working parameter information of the copper bar to be manufactured is determined according to the virtual processing system, including: Using the virtual processing system to simulate the manufacturing of copper bars, and obtaining a simulation model of the copper bars to be manufactured; Performing appearance analysis based on the simulation model to obtain model information; wherein the model information is used to reflect the appearance of the simulation model; Comparing the model information with the target model to obtain appearance result information; wherein the appearance result information is used to reflect the appearance difference between the simulation model and the target model; Performing performance simulation on the simulation model to obtain actual simulation information; wherein the actual simulation information is used to reflect the process performance value of the simulation model; The appearance result information and the actual simulation information are combined and analyzed to obtain the actual working parameter information.

4. The copper bar manufacturing control method according to claim 3, characterized in that: The performing appearance analysis based on the simulation model to obtain model information includes: Import the simulation model into the three-dimensional space of the simulation tool so that the axis of the simulation model is parallel to the Z axis; wherein the end surface of the simulation model at one end perpendicular to the X axis is the bottom surface, the end surface of the other end opposite to the bottom surface is the top surface, the surface formed by the X axis and the Y axis is determined as the X standard surface, and the surface where the Y axis and the Z axis are located is determined as the Y standard surface; Projecting from the top surface to the bottom surface onto the X standard surface to determine a first projection surface; Performing a side projection on the simulation model, projecting the model onto the Y standard plane, and determining a second projection plane; The model information is determined according to the first projection surface and the second projection surface.

5. The copper bar manufacturing control method according to claim 4, characterized in that: The comparing and detecting the model information and the target model to obtain appearance result information includes: Import the target model into the three-dimensional space of the simulation tool so that the axis of the target model is parallel to the Z axis; wherein the end surface of the target model at one end perpendicular to the X axis is the bottom surface, the end surface of the other end opposite to the bottom surface is the top surface, the surface formed by the X axis and the Y axis is determined as the X standard surface, and the surface where the Y axis and the Z axis are located is determined as the Y standard surface; Projecting the target model onto the X standard plane to obtain a third projection plane, and projecting the target model onto the Y standard plane to obtain a fourth projection plane; Compare the first projection surface indicated by the first projection information with the third projection surface indicated by the third projection information to obtain first result information; wherein the first result information is used to reflect the difference in projection surfaces between the first projection surface and the third projection surface; Compare the second projection surface indicated by the second projection information with the fourth projection surface indicated by the fourth projection information to obtain second result information; wherein the second result information is used to reflect the difference in projection surfaces between the second projection surface and the fourth projection surface; The appearance result information is determined according to the first result information and the second result information.

6. The copper bar manufacturing control method according to claim 4, characterized in that: The performing performance simulation on the simulation model to obtain actual simulation information includes: Acquire simulation condition information of the copper rod to be manufactured; wherein the simulation condition information is used to indicate the physical properties of the simulation model, and the physical properties include elastic modulus, Poisson's ratio, yield strength, and thermal expansion coefficient; Setting the format of the simulation model to a standard format, importing the simulation model in the standard format into a test tool to select a mesh type and distribute the mesh, and applying the simulation condition information to the simulation model for preprocessing; Performing dynamic response analysis on the simulation model to obtain dynamic distribution information; wherein the dynamic distribution information is used to indicate the performance value of the simulation model under the action of dynamic analysis; Performing thermal analysis on the simulation model to obtain thermal distribution information; wherein the thermal distribution information is used to indicate the performance value of the simulation model under the thermal analysis; The actual simulation information is determined according to the performance value indicated by the dynamic distribution information and the performance value indicated by the thermal distribution information.

7. The copper bar manufacturing control method according to claim 6, characterized in that: The performing dynamic response analysis on the simulation model to obtain dynamic distribution information includes: Putting one end of the simulation model in contact with the X standard surface in the three-dimensional space, and setting the contact mode to fixed contact; Setting a load on the simulation model, and determining impact load information according to an impact force formula; wherein the impact load information is used to indicate a load value; Based on the impact load information, a time step and a simulation time are set for the simulation model, and then the simulation model is simulated at least three times according to numerical integration to obtain first simulation result information; wherein the first simulation result information is used to reflect the stress, strain and displacement at each simulation time obtained after the dynamic response simulation of the simulation model; The dynamic distribution information is determined according to the first simulation result information.

8. The copper bar manufacturing control method according to claim 6, characterized in that: The thermal analysis of the simulation model to obtain thermal distribution information includes: Making one end of the simulation model contact with the X standard surface in the three-dimensional space, and setting the contact mode to fixed contact or movable contact; Setting temperature boundary conditions for the simulation model, setting and applying thermal load, time step and simulation time, and then performing at least three thermal simulations to obtain second simulation result information; wherein the second simulation result information is used to reflect the temperature field conditions, thermal stress conditions and heat flux density conditions at each simulation time obtained after thermal simulation of the simulation model, and the thermal load is a heat source, a transient load or a steady-state temperature field; The heat distribution information is determined according to the second simulation result information.

9. A copper rod manufacturing control 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 8 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

Images