A method and system for optimizing the manufacturing of conductive nozzle copper tubes for welding

Abstract

The present application provides a manufacturing optimization method and system for a conductive nozzle copper tube for welding, which relates to the technical field of conductive nozzle copper tube manufacturing. The method includes: extracting a target drawing step according to the manufacturing step of the target conductive nozzle copper tube, configuring a monitoring device for the monitored drawing parameters, and obtaining drawing monitoring parameters; establishing a drawing model of the target conductive nozzle copper tube, simulating according to the drawing monitoring parameters, and obtaining monitoring parameter simulation results; obtaining target parameter simulation results; adjusting the drawing monitoring parameters, generating adjusted drawing parameters, and performing drawing simulation; extracting drawing optimization parameters according to the optimization parameter simulation results, and executing the manufacturing of the target conductive nozzle copper tube. The present application can solve the technical problem of poor accuracy of adjusting drawing parameters due to lack of flexibility and adaptability in the prior art, achieve the technical goal of improving flexibility and adaptability, and achieve the technical effect of improving the accuracy of adjusting drawing parameters.

Description

Technical Field

[0001] The present application relates to the technical field of conductive nozzle copper tube manufacturing, and in particular to a method and system for optimizing the manufacturing of conductive nozzle copper tubes for welding. Background Art

[0002] In the manufacturing optimization method of the conductive tip copper tube for welding, the optimization of drawing parameters is a key link to improve the quality and performance of the copper tube. However, the prior art has some shortcomings in the process of optimizing the drawing parameters.

[0003] At present, in existing production, it is necessary to adjust the drawing parameters in real time to cope with various changes, but the existing technology often lacks real-time feedback and adjustment mechanisms. It lacks flexibility and adaptability, and it is difficult to quickly respond to problems in production. Therefore, a method is needed to solve the above problems.

[0004] In summary, the prior art has the technical problem that the accuracy of adjusting drawing parameters is poor due to lack of flexibility and adaptability, which further affects the manufacturing quality. Summary of the invention

[0005] The purpose of this application is to provide a method and system for optimizing the manufacturing of conductive nozzle copper tubes for welding, so as to solve the technical problem in the prior art that the accuracy of adjusting drawing parameters is poor due to lack of flexibility and adaptability, which further affects the manufacturing quality.

[0006] In view of the above problems, the present application provides a method and system for optimizing the manufacturing of a conductive nozzle copper tube for welding.

[0007] In a first aspect, the present application provides a method for optimizing the manufacturing of a conductive nozzle copper tube for welding, and the method is implemented by a manufacturing optimization system for a conductive nozzle copper tube for welding, wherein the method comprises: extracting a target drawing step according to the manufacturing step of the target conductive nozzle copper tube, obtaining the drawing parameter to be monitored, configuring a monitoring device for the drawing parameter to be monitored, integrating it into a target drawing production line, and obtaining the drawing monitoring parameter; establishing a drawing model of the target conductive nozzle copper tube, simulating according to the drawing monitoring parameter, and obtaining the monitoring parameter simulation result; obtaining the target drawing parameter based on the drawing process requirements, simulating the target conductive nozzle copper tube according to the target drawing parameter, and obtaining the target parameter simulation result; if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, adjusting the drawing monitoring parameter through the parameter boundary of the target drawing production line, generating an adjusted drawing parameter, performing a drawing simulation until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and determining the optimized parameter simulation result; extracting the drawing optimization parameter according to the optimized parameter simulation result, and executing the manufacturing of the target conductive nozzle copper tube.

[0008] In the second aspect, the present application also provides a welding conductive nozzle copper tube manufacturing optimization system, which is used to execute a welding conductive nozzle copper tube manufacturing optimization method as described in the first aspect, wherein the system includes: a drawing monitoring parameter acquisition module, the drawing monitoring parameter acquisition module is used to extract the target drawing step according to the manufacturing step of the target conductive nozzle copper tube, obtain the drawing parameters to be monitored, configure monitoring equipment for the drawing parameters to be monitored, integrate them into the target drawing production line, and obtain the drawing monitoring parameters; a monitoring parameter simulation result acquisition module, the monitoring parameter simulation result acquisition module is used to establish a drawing model of the target conductive nozzle copper tube, simulate according to the drawing monitoring parameters, and obtain monitoring parameter simulation results; a target parameter simulation result acquisition module, the target parameter simulation result acquisition module The acquisition module is used to obtain the target drawing parameters based on the drawing process requirements, simulate the target conductive nozzle copper tube according to the target drawing parameters, and obtain the target parameter simulation results; the optimization parameter simulation result determination module, the optimization parameter simulation result determination module is used to adjust the drawing monitoring parameters through the parameter boundaries of the target drawing production line if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, generate the adjusted drawing parameters, perform the drawing simulation until the adjustment parameter simulation result is lower than / equal to the deviation tolerance threshold, and determine the optimization parameter simulation result; the target conductive nozzle copper tube manufacturing module, the target conductive nozzle copper tube manufacturing module is used to extract the drawing optimization parameters according to the optimization parameter simulation result, and execute the manufacturing of the target conductive nozzle copper tube.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The target drawing steps are extracted according to the manufacturing steps of the target conductive nozzle copper tube, the drawing parameters to be monitored are obtained, monitoring equipment is configured for the drawing parameters to be monitored, and the drawing monitoring parameters are integrated into the target drawing production line to obtain the drawing monitoring parameters; a drawing model of the target conductive nozzle copper tube is established, simulation is performed according to the drawing monitoring parameters, and monitoring parameter simulation results are obtained; the target drawing parameters are obtained based on the drawing process requirements, the target conductive nozzle copper tube is simulated according to the target drawing parameters, and the target parameter simulation results are obtained; if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, the drawing monitoring parameters are adjusted through the parameter boundary of the target drawing production line, the adjusted drawing parameters are generated, the drawing simulation is performed until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and the optimized parameter simulation result is determined; the drawing optimization parameters are extracted according to the optimized parameter simulation result, and the manufacturing of the target conductive nozzle copper tube is executed, so as to achieve the technical goal of improving flexibility and adaptability and the technical effect of improving the accuracy of adjusting the drawing parameters.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0013] Figure 1 A schematic diagram of a process for optimizing the manufacturing of a conductive copper tube for welding according to the present application;

[0014] Figure 2 The present invention is a schematic structural diagram of a welding conductive nozzle copper tube manufacturing optimization system.

[0015] Description of reference numerals:

[0016] Drawing monitoring parameter acquisition module 11, monitoring parameter simulation result acquisition module 12, target parameter simulation result acquisition module 13, optimization parameter simulation result determination module 14, target conductive nozzle copper tube manufacturing module 15. DETAILED DESCRIPTION

[0017] This application provides a method and system for optimizing the manufacturing of a conductive tip copper tube for welding, which solves the technical problem in the prior art that the accuracy of adjusting drawing parameters is poor due to lack of flexibility and adaptability, further affecting the manufacturing quality. The technical goal of improving flexibility and adaptability is achieved, and the technical effect of improving the accuracy of adjusting drawing parameters is achieved.

[0018] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0019] Embodiment 1

[0020] Please see attached Figure 1 The present application provides a method for optimizing the manufacturing of a conductive tip copper tube for welding, wherein the method is applied to a manufacturing optimization system for a conductive tip copper tube for welding, and the method specifically comprises the following steps:

[0021] Step 1: Extract the target drawing steps according to the manufacturing steps of the target conductive nozzle copper tube, obtain the drawing parameters to be monitored, configure monitoring equipment for the drawing parameters to be monitored, integrate them into the target drawing production line, and obtain the drawing monitoring parameters.

[0022] Specifically, analyze the manufacturing process of the target conductive nozzle copper tube and determine the drawing steps of the target conductive nozzle copper tube. Determine the key parameters of each drawing step, such as drawing force, speed, temperature, etc. According to the drawing parameters to be monitored, select monitoring equipment, such as force sensors, speed sensors, temperature sensors, etc. Ensure that the selected equipment can accurately measure the required parameters. Install the selected monitoring equipment on the drawing machine to ensure that the parameters during the drawing process can be accurately captured. Start the monitoring equipment and collect real-time data during the drawing process. Ensure that the data acquisition system is working properly and can display and store the collected data in real time.

[0023] Step 2: Establish a drawing model of the target conductive nozzle copper tube, perform simulation according to the drawing monitoring parameters, and obtain monitoring parameter simulation results.

[0024] Specifically, a finite element analysis software is used to establish a model of the conductive nozzle copper tube drawing process. The geometric parameters of the copper tube are input, including the initial size of the copper tube, the shape and size of the mold. For example, the initial size of the copper tube is a conductive nozzle copper tube for welding with an outer diameter of 50 mm and unlimited length, including T2 (pure copper), TP2 (phosphorus deoxidized copper), and CrZrCu (chromium zirconium copper). For another example, the initial size of the copper tube is a conductive nozzle copper tube for welding with an outer diameter of 38 mm and unlimited length, including T2 (pure copper), TP2 (phosphorus deoxidized copper), and CrZrCu (chromium zirconium copper). For another example, the initial size of the copper tube is a conductive nozzle copper tube for welding with an outer diameter of 60 mm and unlimited length, including T2 (pure copper), TP2 (phosphorus deoxidized copper), and CrZrCu (chromium zirconium copper). For example, the initial size of the copper tube is a conductive copper tube for welding with an outer diameter of 9.5 mm and an aperture of 1.4 mm + 0.2 mm, including T2 (pure copper), TP2 (phosphorus deoxidized copper), and CrZrCu (chromium zirconium copper). Run the simulation and calculate the drawing process according to the set parameters. Provide the behavior of the material during the drawing process, including stress distribution, strain distribution, deformation, and possible defects. After the simulation is completed, analyze the output results and obtain monitoring parameters such as drawing force, material flow, temperature change, etc. Record the simulation results for comparison with the monitoring data in actual production.

[0025] Step three: obtaining target drawing parameters based on drawing process requirements, simulating the target conductive nozzle copper tube according to the target drawing parameters, and obtaining target parameter simulation results.

[0026] Specifically, the target drawing parameters are determined according to the actual production requirements and quality standards. The target drawing parameters are used for simulation to obtain the target parameter simulation results. For example, the target parameter simulation results refer to a welding conductive nozzle copper tube with a finished product specification of 8 mm in outer diameter and a center hole of 1.2 mm ± 0.05 mm, or a welding conductive nozzle copper tube with a finished product specification of 5.9 mm in outer diameter and a center hole of 0.6 mm ± 0.05 mm, or a welding conductive nozzle copper tube with a finished product specification of 10 mm in outer diameter and a center hole of 0.8 mm ± 0.05 mm, or a welding conductive nozzle copper tube with a finished product specification of 8 mm - 0.05 mm and a center hole of 1.2 mm + 0.02 mm.

[0027] Step 4: If the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, adjust the drawing monitoring parameter through the parameter boundary of the target drawing production line, generate adjusted drawing parameters, perform drawing simulation until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and determine the optimized parameter simulation result.

[0028] Specifically, if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, the drawing monitoring parameter needs to be adjusted. For example, increase the number of empty pulls or lining pulls from one time to three to four times. According to the parameter boundary of the target drawing production line, the drawing monitoring parameters are randomly adjusted to generate the adjusted drawing parameters. The drawing simulation is performed according to the adjusted drawing parameters. If the simulation result of the adjusted parameter is higher than the deviation tolerance threshold, continue to randomly adjust the single indicator of the adjusted drawing parameter until the simulation result of the adjusted parameter is lower than or equal to the deviation tolerance threshold, and determine the simulation result of the optimized parameter.

[0029] Step 5: extracting the drawing optimization parameters according to the optimization parameter simulation results, and executing the manufacturing of the target conductive nozzle copper tube.

[0030] Specifically, according to the optimization parameter simulation results, the drawing optimization parameters are extracted. The target conductive nozzle copper tube is manufactured based on the optimization parameter simulation results. For example, the manufacture of the target conductive nozzle copper tube refers to the welding conductive nozzle copper tube including T2 (pure copper), TP2 (phosphorus deoxidized copper), CrZrCu (chromium zirconium copper) with an outer diameter of 20 to 60 mm, a wall thickness of 3 to 10 mm, and unlimited length. The outer diameter is 18 to 20 mm, the inner hole diameter is 8 to 12 (±0.2) mm, and it is annealed at 580 degrees Celsius (±10 degrees Celsius) for 3 to 5 hours, kept warm for 5 to 6 hours, and then One to three lining and air drawing steps are performed to obtain an outer diameter of 15 to 16 mm and an inner hole diameter of 6 to 10 (±0.1) mm; annealing is performed at 580 degrees Celsius (±10 degrees Celsius) for 3 to 5 hours, heat preservation is performed for 5 to 6 hours, a core lining is placed in the center hole for lining drawing, air drawing is performed again, a smaller core lining is replaced for air drawing again, and the cycle is repeated in sequence until the conductive nozzle copper tube for welding is drawn into a conductive nozzle copper tube with an outer diameter of less than 14 mm and a center hole diameter of 0.3 to 2.6 mm.

[0031] The manufacturing optimization method of a conductive nozzle copper tube for welding is applied to a manufacturing optimization system of a conductive nozzle copper tube for welding, which can achieve the technical goal of improving flexibility and adaptability and achieve the technical effect of improving the accuracy of adjusting drawing parameters.

[0032] Furthermore, the present application also includes:

[0033] According to the drawing monitoring pass, drawing monitoring reduction and annealing monitoring parameters in the drawing monitoring parameters, K input monitoring parameters of the drawing simulation are set, wherein K is an integer greater than 1; a simulation is performed through the K input monitoring parameters, and K monitoring parameter simulation results are output; clustering is performed based on the K monitoring parameter simulation results to generate a monitoring parameter simulation result set, and the monitoring parameter simulation result having a clustering density greater than a preset clustering density is selected based on the monitoring parameter simulation result set.

[0034] Specifically, the drawing monitoring parameters include drawing monitoring passes, drawing monitoring diameter reduction, annealing monitoring parameters, etc. Assume that K is an integer greater than 1, indicating that K input monitoring parameters are generated. K input monitoring parameters are generated by randomly combining the drawing monitoring passes, drawing monitoring diameter reduction, and annealing monitoring parameters. For example, the drawing monitoring passes include one to four times, the drawing monitoring diameter reduction includes diameter reduction of 10 mm to 60 mm, and the annealing monitoring parameters include annealing at 570 degrees Celsius to 590 degrees Celsius for 3 to 5 hours, and then the parameters of the drawing monitoring passes, drawing monitoring diameter reduction, and annealing monitoring parameters are traversed to obtain K input monitoring parameters. Use K input monitoring parameters to run simulations and output K monitoring parameter simulation results, which reflect the drawing process under different parameter combinations. Perform cluster analysis on the K monitoring parameter simulation results. Cluster analysis is an unsupervised learning method used to group similar data points. Based on cluster analysis, a monitoring parameter simulation result set is generated. The monitoring parameter simulation result set contains the monitoring parameter simulation results in different clusters. Set a preset cluster density threshold. Select the monitoring parameter simulation results whose cluster density is greater than the preset threshold from the monitoring parameter simulation result set. Cluster density refers to the similarity of the monitoring parameter simulation results in the cluster.

[0035] By analyzing the drawing monitoring parameters, the best parameter combination can be found to optimize the drawing process and improve the quality and performance of the copper tube.

[0036] Furthermore, the present application also includes:

[0037] FIT=α1log β S+α2log β D+α3log β A; wherein, FIT represents the fitness of the drawing parameters, β represents the fitness constant factor, β is greater than 1, S represents the drawing monitoring pass, D represents the drawing monitoring diameter reduction, A represents the annealing monitoring parameter, α1, α2 and α3 represent the drawing monitoring pass weight, the drawing monitoring diameter reduction weight, and the annealing monitoring parameter weight; the drawing monitoring parameters are adjusted according to the drawing parameter fitness to obtain the drawing optimization parameters.

[0038] Specifically, the fitness of each drawing monitoring parameter is calculated based on the simulation results and actual production data. The fitness can be evaluated by the quality data and simulation results in actual production. According to the process requirements and actual production experience, the weight of the drawing monitoring pass, the weight of the drawing monitoring diameter reduction and the weight of the annealing monitoring parameter are determined. The weight can reflect the importance of different parameters to the quality and performance of the copper tube. The fitness of each drawing monitoring parameter is multiplied by the corresponding weight to obtain the comprehensive fitness of each parameter. The comprehensive fitness reflects the overall impact of each parameter on the quality and performance of the copper tube. According to the comprehensive fitness of the drawing parameters, the drawing monitoring parameters are adjusted to optimize the comprehensive fitness, thereby improving the quality and performance of the copper tube. By adjusting the drawing monitoring parameters, the drawing optimization parameters are obtained. After adjustment, the parameter combination that can make the quality and performance of the copper tube reach the best state.

[0039] The drawing monitoring parameters are adjusted through the drawing parameter adaptability to obtain the drawing optimization parameters to improve the quality and performance of the copper tube.

[0040] Furthermore, the present application also includes:

[0041] Based on the drawing process requirements, the target parameter simulation results are expanded at a preset tolerance step size to generate the deviation tolerance threshold; the monitoring parameter simulation results are judged to be consistent with the deviation tolerance threshold to obtain monitoring parameter simulation results that are higher than the deviation tolerance threshold; the single indicator of the drawing monitoring parameter is adjusted according to the parameter boundary of the target drawing production line to generate the adjusted drawing parameter; the drawing simulation is performed according to the adjusted drawing parameter to obtain the adjusted parameter simulation result; if the adjusted parameter simulation result is higher than the deviation tolerance threshold, the single indicator of the adjusted drawing parameter is continued to be randomly adjusted until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and the optimized parameter simulation result is determined.

[0042] Specifically, according to the drawing process requirements, the preset tolerance step is determined. Under the tolerance step, the simulation results of the target parameters are expanded to generate the deviation tolerance threshold. For example, the preset tolerance step of the annealing temperature is 10 degrees Celsius, and the deviation tolerance threshold of the annealing temperature is 570 to 590 degrees Celsius; the preset tolerance step of the annealing time is 1 hour, and the deviation tolerance threshold of the annealing time is 3 to 5 hours. The deviation tolerance threshold is a standard that allows the monitoring parameters to fluctuate within a certain range. The deviation tolerance threshold is judged for the simulation results of the monitoring parameters. The simulation results of the monitoring parameters that are higher than the deviation tolerance threshold are obtained. Within the parameter boundary of the target drawing production line, the single indicator of the drawing monitoring parameter is adjusted to generate a new adjusted drawing parameter so that the simulation results of the monitoring parameter meet the requirements of the deviation tolerance threshold. The drawing simulation is performed according to the adjusted drawing parameters to obtain the simulation results of the adjusted parameters, reflecting the impact of the new parameter combination on the quality and performance of the copper tube.

[0043] Then, if the adjustment parameter simulation result is higher than the deviation tolerance threshold, continue to adjust the single index of the adjustment drawing parameter randomly. Repeat the simulation and adjustment process until the adjustment parameter simulation result is lower than or equal to the deviation tolerance threshold, and gradually optimize the drawing parameter. Once the adjustment parameter simulation result meets the deviation tolerance threshold requirement, the optimized parameter simulation result is determined to improve the quality and performance of the copper tube.

[0044] Drawing parameters are optimized according to drawing process requirements to ensure that monitoring parameters are within an acceptable range, thereby improving production efficiency and product quality.

[0045] Furthermore, the present application also includes:

[0046] According to the historical initial drawing parameters and the historical drawing optimization parameters as training input, the drawing sets are divided into training sets and verification sets. According to the training set, a drawing parameter optimization model is constructed based on the random forest algorithm; according to the verification set, the drawing parameter optimization model is verified until the output accuracy of the drawing parameter optimization model meets the preset output accuracy; the adjusted drawing parameters are input into the drawing parameter optimization model to obtain the drawing optimization parameters.

[0047] Specifically, the data of historical initial drawing parameters and historical drawing optimization parameters are collected, including the performance indicators of copper tubes, drawing process parameters, monitoring parameters, etc. The collected data are cleaned and sorted to remove noise and irrelevant information. Feature extraction is performed to convert the raw data into a format suitable for machine learning algorithms. The data set is divided into a training set and a validation set. The training set is used to train the model, and the validation set is used to evaluate the performance of the model.

[0048] Then, the model is built using the random forest algorithm. Random forest is an ensemble learning method that improves the accuracy of prediction by building multiple decision tree models and taking the average. The random forest model is trained on the training set to learn the relationship between the input features and the performance indicators of the copper tube. The model is validated on the validation set. The output accuracy of the model is evaluated to ensure the predictive ability of the model. According to the validation results, the parameters of the model are adjusted. The training and validation process is repeated until the output accuracy of the model meets the preset output accuracy. The adjusted drawing parameters are input into the optimization model. The best combination of drawing parameters will be predicted based on the input parameters to optimize the quality and performance of the copper tube.

[0049] A drawing parameter optimization model is constructed by utilizing historical data and random forest algorithm to predict and optimize the drawing process parameters, thereby improving the quality and production efficiency of the copper tube.

[0050] Furthermore, the present application also includes:

[0051] The number of decision trees is determined according to cross-validation, and a decision tree splitting threshold is selected based on a preset node splitting threshold; the drawing parameter optimization model is adjusted according to the number of decision trees and the decision tree splitting threshold, and the drawing parameter optimization model is verified according to the verification set until the output accuracy of the drawing parameter optimization model meets the preset output accuracy.

[0052] Specifically, cross-validation techniques are used to evaluate the impact of different numbers of decision trees on model performance. Cross-validation involves splitting the data set into multiple subsets, using a portion of the subsets each time the model is trained, and the remaining subsets are used for validation. By comparing the cross-validation accuracy under different numbers of decision trees, the optimal number of decision trees is selected to balance the prediction ability and generalization ability of the model. A node splitting threshold is preset to guide when to stop splitting during the decision tree construction process. The smaller the node splitting threshold, the more complex the decision tree, but the more accurate it is. Cross-validation is used to evaluate the model performance under different node splitting thresholds and select the optimal splitting threshold.

[0053] Then, adjust the random forest model according to the determined number of decision trees and split threshold. Use the validation set to validate the adjusted pull parameter optimization model. Evaluate the output accuracy of the model to ensure that the model's prediction ability meets the preset output accuracy requirements. If the model's output accuracy does not meet the preset output accuracy, repeatedly adjust the number of decision trees and split threshold, and revalidate the model. Repeat until the model's output accuracy meets the preset output accuracy.

[0054] By building an optimized and verified drawing parameter optimization model to predict and optimize the drawing process parameters, the quality and production efficiency of the copper tube can be improved.

[0055] Furthermore, the present application also includes:

[0056] According to the target drawing parameters, the target conductive nozzle copper tube is subjected to aperture shrinkage by rotating the steel wire to obtain rotary swaging machine parameters; the optimized manufacturing results of the target conductive nozzle copper tube are obtained by combining the manufacturing results of the drawing optimization parameters with the rotation results of the rotary swaging machine parameters.

[0057] Specifically, according to the drawing process requirements and simulation results, the target drawing parameters, including drawing force, speed, temperature, etc., are determined. The target conductive nozzle copper tube is subjected to aperture shrinkage by rotating the steel wire. For example, a conductive nozzle copper tube with an outer diameter of 9.5 mm and an inner hole diameter of 1.4 (+0.2) mm is subjected to rotary forging to obtain a finished conductive nozzle copper tube with an outer diameter of 8 (-0.05) mm and an aperture of 1.2 (±0.002) mm. The diameter and rotation speed of the steel wire are the key parameters of the rotary forging machine. For example, the outer die of the rotary forging machine is 8 (-0.05) mm, and the steel wire is 1.2 (+0.002) mm (or steel wire -0.002 mm). According to the target drawing parameters, the operating parameters of the rotary forging machine are determined, including the outer die diameter, steel wire diameter, rotation speed, etc. The copper tube is manufactured by combining the drawing optimization parameters and the rotary forging machine parameters. During the manufacturing process, ensure that all parameters are executed according to the optimized plan. After manufacturing is completed, the copper tube is subjected to quality inspection and performance testing. Combining the manufacturing results of the drawing optimization parameters and the rotation results of the rotary swaging machine parameters, the optimized manufacturing results of the target conductive nozzle copper tube are obtained, reflecting whether the quality and performance of the copper tube meet the preset standards.

[0058] By ensuring that the manufacturing process and results of the target contact nozzle copper tube meet the preset quality requirements.

[0059] In summary, the present application provides a method for optimizing the manufacturing of a conductive copper tube for welding, which has the following technical effects:

[0060] The target drawing steps are extracted according to the manufacturing steps of the target conductive nozzle copper tube, the drawing parameters to be monitored are obtained, monitoring equipment is configured for the drawing parameters to be monitored, and the drawing monitoring parameters are integrated into the target drawing production line to obtain the drawing monitoring parameters; a drawing model of the target conductive nozzle copper tube is established, simulation is performed according to the drawing monitoring parameters, and monitoring parameter simulation results are obtained; the target drawing parameters are obtained based on the drawing process requirements, the target conductive nozzle copper tube is simulated according to the target drawing parameters, and the target parameter simulation results are obtained; if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, the drawing monitoring parameters are adjusted through the parameter boundary of the target drawing production line, the adjusted drawing parameters are generated, the drawing simulation is performed until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and the optimized parameter simulation result is determined; the drawing optimization parameters are extracted according to the optimized parameter simulation result, and the manufacturing of the target conductive nozzle copper tube is executed, so as to achieve the technical goal of improving flexibility and adaptability and the technical effect of improving the accuracy of adjusting the drawing parameters.

[0061] Embodiment 2

[0062] Based on the same inventive concept as the method for optimizing the manufacturing of a conductive copper tube for welding in the aforementioned embodiment, the present application also provides a system for optimizing the manufacturing of a conductive copper tube for welding, see the attached Figure 2 , the system comprising:

[0063] A drawing monitoring parameter acquisition module 11, the drawing monitoring parameter acquisition module 11 is used to extract the target drawing steps according to the manufacturing steps of the target conductive nozzle copper tube, obtain the drawing parameters to be monitored, configure monitoring equipment for the drawing parameters to be monitored, integrate them into the target drawing production line, and obtain the drawing monitoring parameters; a monitoring parameter simulation result acquisition module 12, the monitoring parameter simulation result acquisition module 12 is used to establish a drawing model of the target conductive nozzle copper tube, simulate according to the drawing monitoring parameters, and obtain the monitoring parameter simulation results; a target parameter simulation result acquisition module 13, the target parameter simulation result acquisition module 13 is used to obtain the target drawing parameters based on the drawing process requirements, according to the target drawing parameters A simulation of the target conductive nozzle copper tube is performed to obtain a target parameter simulation result; an optimization parameter simulation result determination module 14 is used to adjust the drawing monitoring parameters through the parameter boundaries of the target drawing production line if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, generate an adjusted drawing parameter, perform a drawing simulation until the adjustment parameter simulation result is lower than / equal to the deviation tolerance threshold, and determine the optimization parameter simulation result; a target conductive nozzle copper tube manufacturing module 15 is used to extract the drawing optimization parameters according to the optimization parameter simulation result and execute the manufacturing of the target conductive nozzle copper tube.

[0064] Furthermore, the system is also used for:

[0065] According to the drawing monitoring pass, drawing monitoring reduction and annealing monitoring parameters in the drawing monitoring parameters, K input monitoring parameters of the drawing simulation are set, wherein K is an integer greater than 1; a simulation is performed through the K input monitoring parameters, and K monitoring parameter simulation results are output; clustering is performed based on the K monitoring parameter simulation results to generate a monitoring parameter simulation result set, and the monitoring parameter simulation result having a clustering density greater than a preset clustering density is selected based on the monitoring parameter simulation result set.

[0066] Furthermore, the system is also used for:

[0067] FIT=α1log β S+α2log β D+α3log β A; wherein, FIT represents the fitness of the drawing parameters, β represents the fitness constant factor, β is greater than 1, S represents the drawing monitoring pass, D represents the drawing monitoring diameter reduction, A represents the annealing monitoring parameter, α1, α2 and α3 represent the drawing monitoring pass weight, the drawing monitoring diameter reduction weight, and the annealing monitoring parameter weight; the drawing monitoring parameters are adjusted according to the drawing parameter fitness to obtain the drawing optimization parameters.

[0068] Furthermore, the system is also used for:

[0069] Based on the drawing process requirements, the target parameter simulation results are expanded at a preset tolerance step size to generate the deviation tolerance threshold; the monitoring parameter simulation results are judged to be consistent with the deviation tolerance threshold to obtain monitoring parameter simulation results that are higher than the deviation tolerance threshold; the single indicator of the drawing monitoring parameter is adjusted according to the parameter boundary of the target drawing production line to generate the adjusted drawing parameter; the drawing simulation is performed according to the adjusted drawing parameter to obtain the adjusted parameter simulation result; if the adjusted parameter simulation result is higher than the deviation tolerance threshold, the single indicator of the adjusted drawing parameter is continued to be randomly adjusted until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and the optimized parameter simulation result is determined.

[0070] Furthermore, the system is also used for:

[0071] According to the historical initial drawing parameters and the historical drawing optimization parameters as training input, the drawing sets are divided into training sets and verification sets. According to the training set, a drawing parameter optimization model is constructed based on the random forest algorithm; according to the verification set, the drawing parameter optimization model is verified until the output accuracy of the drawing parameter optimization model meets the preset output accuracy; the adjusted drawing parameters are input into the drawing parameter optimization model to obtain the drawing optimization parameters.

[0072] Furthermore, the system is also used for:

[0073] The number of decision trees is determined according to cross-validation, and a decision tree splitting threshold is selected based on a preset node splitting threshold; the drawing parameter optimization model is adjusted according to the number of decision trees and the decision tree splitting threshold, and the drawing parameter optimization model is verified according to the verification set until the output accuracy of the drawing parameter optimization model meets the preset output accuracy.

[0074] Furthermore, the system is also used for:

[0075] According to the target drawing parameters, the target conductive nozzle copper tube is subjected to aperture shrinkage by rotating the steel wire to obtain rotary swaging machine parameters; the optimized manufacturing results of the target conductive nozzle copper tube are obtained by combining the manufacturing results of the drawing optimization parameters with the rotation results of the rotary swaging machine parameters.

[0076] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The manufacturing optimization method and specific examples of a conductive tip copper tube for welding in the aforementioned embodiment 1 are also applicable to the manufacturing optimization system of a conductive tip copper tube for welding in this embodiment. Through the aforementioned detailed description of the manufacturing optimization method of a conductive tip copper tube for welding, those skilled in the art can clearly know the manufacturing optimization system of a conductive tip copper tube for welding in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0077] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0078] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for optimizing the manufacturing of a conductive copper tube for welding, characterized in that: The method comprises: Extract the target drawing steps according to the manufacturing steps of the target conductive nozzle copper tube, obtain the drawing parameters to be monitored, configure monitoring equipment for the drawing parameters to be monitored, integrate them into the target drawing production line, and obtain the drawing monitoring parameters; Establishing a drawing model of the target conductive nozzle copper tube, simulating according to the drawing monitoring parameters, and obtaining monitoring parameter simulation results; Obtain target drawing parameters based on drawing process requirements, simulate the target conductive nozzle copper tube according to the target drawing parameters, and obtain target parameter simulation results; If the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than the deviation tolerance threshold, the drawing monitoring parameter is adjusted by the parameter boundary of the target drawing production line to generate an adjusted drawing parameter, and a drawing simulation is performed until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and an optimized parameter simulation result is determined; Extracting the drawing optimization parameters according to the optimization parameter simulation results, and executing the manufacturing of the target conductive nozzle copper tube; Get monitoring parameter simulation results, including: According to the drawing monitoring pass, drawing monitoring reduction, and annealing monitoring parameters in the drawing monitoring parameters, K input monitoring parameters of the drawing simulation are set, wherein K is an integer greater than 1; Performing operation simulation by inputting the K monitoring parameters and outputting K monitoring parameter simulation results; Clustering is performed based on the K monitoring parameter simulation results to generate a monitoring parameter simulation result set, and the monitoring parameter simulation result having a clustering density greater than a preset clustering density is selected based on the monitoring parameter simulation result set.

2. A method for optimizing the manufacturing of a conductive copper tube for welding as claimed in claim 1, characterized in that: Get drawing optimization parameters, including: ； in, Characterize the fitness of drawing parameters, Characterizes the fitness constant factor, Greater than 1, S represents the drawing monitoring pass, D represents the drawing monitoring reduction, A represents the annealing monitoring parameters, , and Characterize the weight of drawing monitoring pass, the weight of drawing monitoring diameter reduction, and the weight of annealing monitoring parameters; The drawing monitoring parameter is adjusted according to the drawing parameter adaptability to obtain the drawing optimization parameter.

3. A method for optimizing the manufacturing of a conductive tip copper tube for welding as claimed in claim 1, characterized in that: Determine the optimization parameter simulation results, including: Based on the drawing process requirements, the target parameter simulation result is expanded at a preset tolerance step to generate the deviation tolerance threshold; Performing compliance judgment on the monitoring parameter simulation results with the deviation tolerance threshold, and obtaining monitoring parameter simulation results that are higher than the deviation tolerance threshold; Adjusting a single indicator of the drawing monitoring parameter by means of the parameter boundary of the target drawing production line to generate the adjusted drawing parameter; Perform a drawing simulation according to the adjusted drawing parameters to obtain the adjusted parameter simulation results. If the adjusted parameter simulation results are higher than the deviation tolerance threshold, continue to perform random adjustment on a single indicator of the adjusted drawing parameters until the adjusted parameter simulation results are lower than / equal to the deviation tolerance threshold, and determine the optimized parameter simulation results.

4. A method for optimizing the manufacturing of a conductive copper tube for welding as claimed in claim 3, characterized in that: Get drawing optimization parameters, including: According to the historical initial drawing parameters and the historical drawing optimization parameters as training input, the drawing is divided into a training set and a validation set, and according to the training set, a drawing parameter optimization model is constructed based on a random forest algorithm; Verifying the drawing parameter optimization model according to the verification set until the output accuracy of the drawing parameter optimization model meets the preset output accuracy; The adjusted drawing parameters are input into the drawing parameter optimization model to obtain the drawing optimization parameters.

5. A method for optimizing the manufacturing of a conductive tip copper tube for welding as claimed in claim 4, characterized in that: Obtain the drawing parameter optimization model, including: Determine the number of decision trees based on cross-validation, and select a decision tree splitting threshold based on a preset node splitting threshold; The drawing parameter optimization model is adjusted according to the number of decision trees and the decision tree splitting threshold, and the drawing parameter optimization model is verified according to the verification set until the output accuracy of the drawing parameter optimization model meets the preset output accuracy.

6. A method for optimizing the manufacturing of a conductive tip copper tube for welding as claimed in claim 1, characterized in that: Get optimized manufacturing results, including: According to the target drawing parameters, the target conductive nozzle copper tube is subjected to aperture shrinkage by rotating the steel wire to obtain the rotary forging machine parameters; The manufacturing result of the drawing optimization parameters is combined with the rotation result of the rotary swaging machine parameters to obtain the optimized manufacturing result of the target conductive nozzle copper tube.

7. A welding contact tip copper tube manufacturing optimization system, characterized in that: The system is used to implement the steps of the method for optimizing the manufacturing of a conductive tip copper tube for welding as described in any one of claims 1 to 6, comprising: A drawing monitoring parameter acquisition module, which is used to extract the target drawing steps according to the manufacturing steps of the target conductive nozzle copper tube, obtain the drawing parameters to be monitored, configure monitoring equipment for the drawing parameters to be monitored, integrate them into the target drawing production line, and obtain the drawing monitoring parameters; A monitoring parameter simulation result acquisition module, which is used to establish a drawing model of the target conductive nozzle copper tube, perform simulation according to the drawing monitoring parameters, and obtain monitoring parameter simulation results; A target parameter simulation result acquisition module, wherein the target parameter simulation result acquisition module is used to acquire target drawing parameters based on drawing process requirements, simulate the target conductive nozzle copper tube according to the target drawing parameters, and acquire target parameter simulation results; An optimization parameter simulation result determination module, wherein if the deviation between the monitoring parameter simulation result and the target parameter simulation result is higher than a deviation tolerance threshold, the module is used to adjust the drawing monitoring parameter through the parameter boundary of the target drawing production line, generate an adjusted drawing parameter, perform a drawing simulation until the adjusted parameter simulation result is lower than / equal to the deviation tolerance threshold, and determine the optimization parameter simulation result; A target conductive nozzle copper tube manufacturing module is used to extract drawing optimization parameters according to the optimization parameter simulation results and execute the manufacturing of the target conductive nozzle copper tube.

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