CN118155779A - Ultra-thin wall internal thread expansion and contraction rate evaluation method and system - Google Patents
Ultra-thin wall internal thread expansion and contraction rate evaluation method and system Download PDFInfo
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Abstract
The invention relates to the technical field of copper pipe performance detection, in particular to an ultra-thin wall internal thread expansion and contraction rate evaluation method and system, which improve product quality and production efficiency and reduce production cost; the method comprises the following steps: collecting material characteristic data, processing characteristic data, final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe; extracting expansion and contraction influence factors from material characteristic data of the ultrathin-wall internal thread copper pipe to obtain a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe; extracting expansion and contraction influence factors from the processing characteristic data of the ultrathin-wall internal thread copper pipe to obtain a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe; and taking the material influence factor characteristic set and the processing influence factor characteristic set as input data, and inputting the input data into a pre-constructed internal thread copper pipe expansion analysis model to obtain an ideal expansion rate of the internal thread copper pipe corresponding to the input data.
Description
Technical Field
The invention relates to the technical field of copper pipe performance detection, in particular to an ultra-thin wall internal thread expansion and contraction rate evaluation method and system.
Background
With the rapid development of modern industrial technology, particularly in the fields of refrigeration, heat exchange, fluid control and the like, the ultra-thin wall internal thread copper pipe is widely applied due to the excellent heat conduction performance and structural strength; however, in the process of machining the ultra-thin wall internal thread copper tube, the ultra-thin wall internal thread copper tube often faces the problem of expansion and shrinkage rate, which not only affects the performance of the product, but also may cause the increase of the production cost and the instability of the product quality.
The existing expansion and shrinkage rate evaluation method mainly depends on a traditional empirical formula or a simple statistical analysis method to evaluate the expansion and shrinkage rate of the copper pipe; although these methods can reflect the expansion and contraction rate to some extent, they do not fully consider the influence of material characteristics and processing characteristics on the expansion and contraction rate, and lack a comprehensive evaluation system, so that it is difficult to effectively control the expansion and contraction rate of the copper pipe in the actual production process.
Disclosure of Invention
In order to solve the technical problems, the invention provides the ultra-thin wall internal thread expansion and shrinkage rate assessment method and system which improve the product quality and the production efficiency and reduce the production cost.
In a first aspect, the present invention provides a method for evaluating the expansion and contraction rate of an ultra-thin wall internal thread, the method comprising:
collecting material characteristic data, processing characteristic data, final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
Extracting expansion and contraction influence factors from material characteristic data of the ultrathin-wall internal thread copper pipe to obtain a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
Extracting expansion and contraction influence factors from the processing characteristic data of the ultrathin-wall internal thread copper pipe to obtain a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The method comprises the steps of taking a material influence factor characteristic set and a processing influence factor characteristic set as input data, inputting the input data into a pre-constructed internal thread copper pipe expansion analysis model, and obtaining an ideal expansion and contraction rate of the internal thread copper pipe corresponding to the input data;
performing expansion and contraction analysis on final forming size data and design requirement size data of the ultra-thin wall internal thread copper pipe to obtain the actual expansion and contraction rate of the internal thread copper pipe;
and performing deviation analysis on the actual expansion and shrinkage rate of the inner threaded copper pipe and the ideal expansion and shrinkage rate of the inner threaded copper pipe to obtain an expansion and shrinkage rate evaluation result of the ultrathin-wall inner threaded copper pipe.
Further, the calculation formula of the expansion and contraction analysis model of the internal thread copper pipe is as follows:
；
Wherein, Represents the ideal expansion and contraction rate of the internal thread copper pipeCharacteristic quantitative value of influence factor of ith material,/>Characteristic quantitative value of jth processing influence factor is expressed, i/(>Weight coefficient representing characteristic of ith material influencing factor,/>The weight coefficient representing the jth processing influence factor feature, n representing the number of material influence factor features, m representing the number of processing influence factor features,/>Function sum/>The functions represent normalized functions of the material impact factor characteristics and the process impact factor characteristics, respectively,/>And/>And respectively representing the influence weight coefficients of the material influence factor characteristics and the processing influence factor characteristics on the ideal expansion and contraction rate of the internal thread copper pipe.
Further, the method for constructing the expansion and contraction analysis model of the internal thread copper pipe comprises the following steps:
collecting material characteristic data and processing characteristic data of the ultrathin-wall internal threaded copper pipe, and extracting characteristics from the collected material characteristic data and processing characteristic data;
normalizing and standardizing the selected characteristics to obtain a model training set;
Selecting a machine learning model as a model basis, wherein the machine learning model comprises a linear regression model, a support vector machine, a decision tree and a neural network;
training the selected model by using a model training set, and minimizing a prediction error by adjusting model parameters and an optimization algorithm;
Evaluating performance and generalization ability of the model using independent test sets;
and applying the trained model to actual data, and predicting the ideal expansion and contraction rate of the internal thread copper pipe.
Further, the method for acquiring the material influence factor feature set comprises the following steps:
Accurately measuring chemical components of the copper pipe, including copper content and impurity element proportion;
observing and quantitatively analyzing the grain size, shape, distribution, texture and second phase precipitate of the copper pipe by using a metallographic microscope, a scanning electron microscope and a transmission electron microscope;
measuring mechanical property parameters of the copper pipe, including tensile strength, yield strength, elongation and hardness;
Checking defects of the copper pipe, wherein the defects comprise inclusion, segregation, cracks and air hole defects;
detecting the thickness, uniformity, adhesive force and corrosion resistance of the surface coating of the ultrathin-wall internal threaded copper pipe subjected to surface treatment;
and (3) performing systematic arrangement and induction on the obtained data and information to form a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe.
Further, the method for acquiring the processing influence factor feature set comprises the following steps:
Collecting various parameter data in the process of processing the internal thread copper pipe, including processing temperature, cooling speed, extrusion force, drawing speed, die type and abrasion condition, lubrication condition, annealing treatment parameters, internal thread forming process and related parameters thereof;
identifying processing parameters closely related to the expansion and contraction rate based on a copper pipe processing technology theory;
Carrying out quantization treatment on the identified processing influence factors, and converting the identified processing influence factors into characteristic values for data analysis;
Screening out processing characteristic combinations with high association degree and strong mutual exclusivity with expansion and contraction rate, and eliminating redundancy and noise characteristics;
Carrying out standardization and normalization treatment on the characteristics;
And (5) performing systematic arrangement and induction on the obtained data and information to form a processing influence factor characteristic set of the internal thread copper pipe.
Further, the method for obtaining the actual expansion and contraction rate of the internal thread copper pipe comprises the following steps:
collecting final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
comparing and analyzing the actual molding size data with the design requirement size data to determine the expansion and contraction rate;
Correcting and revising the data with errors;
Substituting the actual forming size data and the size data required by design into a calculation formula of the expansion and contraction rate to calculate the actual expansion and contraction rate of the internal thread copper pipe.
Further, the expansion and contraction rate evaluation result comprises overall expansion and contraction performance evaluation, problem size and reason summarization, improvement proposal and countermeasure, and subsequent monitoring and feedback mechanism.
In another aspect, the present application also provides an ultra-thin wall internal thread expansion rate assessment system, the system comprising:
The data acquisition module is used for collecting material characteristic data, processing characteristic data, final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
The material characteristic influence factor extraction module is used for extracting expansion influence factors of material characteristic data of the ultrathin-wall internal thread copper pipe and obtaining a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The processing characteristic influence factor extraction module is used for extracting expansion influence factors of processing characteristic data of the ultrathin-wall internal thread copper pipe and obtaining a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The theoretical expansion and contraction analysis module is used for taking the material influence factor characteristic set and the processing influence factor characteristic set as input data, inputting the input data into a pre-constructed internal thread copper pipe expansion and contraction analysis model, and obtaining the ideal expansion and contraction rate of the internal thread copper pipe corresponding to the input data;
The actual expansion and contraction rate analysis module is used for carrying out expansion and contraction analysis on the final forming size data and the design requirement size data of the ultra-thin wall internal thread copper pipe to obtain the actual expansion and contraction rate of the internal thread copper pipe;
The expansion and shrinkage rate evaluation module is used for carrying out deviation analysis on the actual expansion and shrinkage rate of the inner threaded copper pipe and the ideal expansion and shrinkage rate of the inner threaded copper pipe, and obtaining an expansion and shrinkage rate evaluation result of the ultrathin-wall inner threaded copper pipe.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
Compared with the prior art, the invention has the beneficial effects that: the method collects various data such as material characteristics, processing characteristics, forming size, design requirements and the like of the ultra-thin wall internal threaded copper pipe, and comprehensively analyzes the data to ensure that the evaluation is more comprehensive; by extracting the material and processing characteristic data, the condition that the expansion and contraction rate is influenced by various factors is considered, so that the condition of the expansion and contraction rate is estimated more accurately;
the pre-built internal thread copper pipe expansion and contraction analysis model is adopted, the actual expansion and contraction rate is obtained through scientific model calculation, and the accuracy and the reliability of evaluation are improved;
The method not only can qualitatively evaluate the expansion and contraction rate, but also can analyze the deviation of the actual expansion and contraction rate and the theoretical expansion and contraction rate, thereby quantitatively evaluating the deviation degree of the expansion and contraction rate of the copper pipe and being beneficial to further optimizing the production process; the method is suitable for the field of copper pipe performance detection, can be applied to expansion and shrinkage rate evaluation of various ultrathin-wall internal thread copper pipes, and has higher universality and practicability;
In summary, the method effectively solves the problem of expansion and shrinkage rate in the processing process of the ultra-thin wall internal thread copper pipe by the characteristics of comprehensiveness, accuracy, comprehensiveness, pertinence, scientific guidance, standardization and automation, improves the product quality and the production efficiency, reduces the production cost, and enhances the competitiveness of enterprises in the fields of refrigeration, heat exchange, fluid control and the like.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of a method of constructing an expansion and contraction analysis model of an internally threaded copper pipe;
FIG. 3 is a block diagram of an ultra-thin wall internal thread expansion and contraction rate evaluation system.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Embodiment one: as shown in fig. 1 to 2, the method for evaluating the expansion and contraction rate of the ultra-thin wall internal thread specifically comprises the following steps:
s1, collecting material characteristic data, machining characteristic data, final forming size data and design requirement size data of an ultrathin-wall internal threaded copper pipe;
S1, collecting material characteristics, processing characteristics, final forming size and design requirement size data of an ultrathin-wall internal threaded copper pipe, and providing detailed and reliable basic information for the subsequent comprehensive evaluation of the expansion and contraction rate; the accurate acquisition and integration of the data embody the professional technical level in the copper pipe performance detection field, and ensure the scientificity and practicability of the expansion and contraction rate evaluation method;
The material characteristic data comprises chemical components, mechanical properties and hardness, and the material characteristic data acquisition method comprises the following steps:
detecting chemical components of the copper pipe material by a chemical analysis instrument, wherein the chemical components comprise main elements and impurity contents;
stretching, compressing and bending tests are carried out by using a universal material testing machine, and mechanical performance data of the strength, the elastic modulus and the elongation of the copper pipe are obtained;
measuring the hardness of the copper tube by using a hardness testing instrument to evaluate the compression resistance of the copper tube;
The processing characteristic data comprise processing parameters and surface quality data, and the processing characteristic data acquisition method comprises the following steps:
recording processing technological parameters of the ultra-thin wall internal thread copper pipe, including forming temperature, forming pressure, forming speed and used mold and process equipment information;
checking the flatness, the smoothness and the defects of the surface of the copper pipe by using surface detection equipment;
Using a high-precision measuring instrument, including a coordinate measuring machine, a laser calliper and an endoscope, uniformly sampling at a specified measuring point, and accurately measuring the actual outer diameter, inner diameter, wall thickness, screw pitch and tooth angle size parameters of the ultra-thin wall internal threaded copper pipe;
And obtaining the design size standard of the ultra-thin wall internal thread copper pipe from the product design drawing, the technical specification and the customer requirements, wherein the design size standard comprises the expected size tolerance ranges of the outer diameter, the inner diameter, the wall thickness, the thread pitch, the tooth angle and the like, and the size tolerance ranges are used as the standard for evaluating whether the expansion and contraction rate meets the design requirements.
In the step, by collecting material characteristics, processing characteristics and size data, the evaluation method is established on the basis of reliability, so that the scientificity and practicability of an evaluation result are improved, the comprehensiveness and accuracy of the evaluation method are ensured, and reliable guidance is provided for actual production; accurately acquiring material characteristics and processing characteristic data is helpful for accurately evaluating the performance and quality of the ultra-thin wall internal threaded copper pipe; by comprehensively considering factors such as material strength, hardness, processing parameters and the like, potential problems can be identified in advance, and corresponding measures are taken to ensure the quality of products; by recording the processing parameters and the surface quality data, the production process can be monitored and adjusted in time, the production efficiency is improved, and the defective rate is reduced; accurate processing characteristic data is beneficial to optimizing the production process and improving the stability and controllability of the production line; collecting the dimension data of the design requirement and comparing the dimension data with the actual measurement data to ensure that the product meets the design requirement; customer complaints and reworks caused by product size deviation are reduced, and customer satisfaction and product competitiveness are improved; by the application of the high-precision measuring instrument and the surface quality detection equipment, the accuracy of data is improved, the operation skills and the professional level of technicians are improved, and a foundation is laid for the technical innovation and development of enterprises;
In summary, the data collection in the step S1 is crucial to ensure the accuracy, the practicability and the reliability of the evaluation method, provides a reliable basis for evaluating the expansion and contraction rate of the ultra-thin wall internal threaded copper pipe, and is beneficial to improving the product quality, the production efficiency and the customer satisfaction;
s2, extracting expansion and contraction influence factors of material characteristic data of the ultrathin-wall internal thread copper pipe to obtain a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The characteristic set of the material influence factors comprehensively reflects the characteristics of the copper pipe material in the aspects of chemical components, microstructures, mechanical properties, metallurgical quality, surface treatment and the like, and provides detailed and accurate input data for calculating an ideal expansion and contraction rate through an expansion and contraction analysis model in the follow-up process, so that the scientific and accurate assessment of the expansion and contraction rate of the ultra-thin wall internal thread copper pipe is realized;
The method for acquiring the material influence factor feature set comprises the following steps:
S21, accurately measuring chemical components of the copper pipe, including copper content and impurity element proportion; these elements and their content directly influence the coefficient of thermal expansion, mechanical properties and corrosion resistance of the copper tube, and thus influence its expansion and contraction behaviour;
S22, observing and quantitatively analyzing the grain size, shape, distribution, texture and second-phase precipitates of the copper pipe by using a metallographic microscope, a scanning electron microscope and a transmission electron microscope; the uniformity, refinement degree and existence state of the second phase of the microstructure can obviously influence the heat conduction efficiency, plastic deformation capability and expansion response of the material;
s23, measuring mechanical property parameters of the copper pipe, including tensile strength, yield strength, elongation and hardness, and evaluating the strain capacity and deformation resistance capacity of the copper pipe in the processing process; the thermal expansion coefficient is measured and is a key index for evaluating dimensional change of the material under the influence of temperature change, and the key index is directly related to calculation of expansion and contraction rate;
s24, checking whether the copper pipe has inclusion, segregation, cracks and air hole defects; these defects may become stress concentration points, reduce the toughness of the material, increase the risk of uneven expansion and contraction;
s25, detecting the thickness, uniformity, adhesive force and corrosion resistance of the surface coating of the ultrathin-wall internal thread copper pipe subjected to surface treatment; the surface treatment has direct influence on the interface effect of the copper pipe and the environment, thereby influencing the expansion and contraction performance of the copper pipe;
S26, performing system arrangement and induction on the obtained data and information to form a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe.
In the step, the characteristics of the copper pipe material in multiple aspects are comprehensively reflected by the formed material influence factor characteristic set through extracting and analyzing the material characteristic data, so that the influence of various factors on the copper pipe expansion and contraction rate is comprehensively considered, and the evaluation is more comprehensive and accurate; the extracted material influence factor feature set provides detailed and accurate input data for a subsequent expansion analysis model, and the actual characteristics of the copper pipe material can be fully reflected, so that the model can accurately predict the ideal expansion and contraction rate of the copper pipe; the expansion and contraction rate of the copper pipe can be estimated more accurately by carefully observing and analyzing the characteristics of the copper pipe in terms of chemical components, microstructures, mechanical properties and the like; the expansion and contraction behaviors of the copper pipe are better controlled in the processing process, and the quality and stability of the product are improved; the expansion and shrinkage rate of the copper pipe can be accurately estimated, unnecessary waste products and defective products can be avoided in the production process, and therefore the production cost is reduced; in addition, defects and problems existing in the copper pipe are found and processed in time, and the method is also beneficial to avoiding extra cost and loss possibly generated in a subsequent production link;
In summary, the beneficial effects of the step S2 include improving the accuracy of evaluation, reducing the production cost, and providing reliable input data for the subsequent expansion analysis model, thereby realizing scientific and accurate evaluation of the expansion rate of the ultra-thin wall internal threaded copper tube.
S3, extracting expansion and contraction influence factors of the processing characteristic data of the ultrathin-wall internal thread copper pipe to obtain a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
S3, aiming at processing characteristic data of the ultra-thin wall internal threaded copper pipe, extracting processing related characteristics influencing the expansion and contraction rate, and forming a comprehensive processing influence factor characteristic set so as to provide accurate input data and basic support for subsequent expansion and contraction rate evaluation;
the method for acquiring the processing influence factor feature set comprises the following steps:
S31, collecting various parameter data in the processing process of the ultra-thin wall internal thread copper pipe, including processing temperature, cooling speed, extrusion force, drawing speed, die type and abrasion condition, lubrication condition, annealing treatment parameters, internal thread forming process and related parameters thereof;
s32, identifying processing parameters closely related to the expansion and contraction rate based on copper pipe processing technology theory and practical experience and related research results;
S33, carrying out quantization treatment on the identified processing influence factors, and converting the identified processing influence factors into characteristic values for data analysis;
s34, processing characteristic combinations with high relevance and strong mutual exclusivity with expansion and shrinkage rate are further screened out through a correlation analysis, principal component analysis and recursion characteristic elimination method, redundant or noise characteristics are removed, and the effectiveness and the calculation efficiency of a characteristic set are improved;
S35, carrying out standardization and normalization processing on the features, so that all the features have the same data scale and distribution characteristics;
s36, performing systematic arrangement and induction on the obtained data and information to form a processing influence factor characteristic set of the internal thread copper pipe.
In the step, the comprehensiveness and representativeness of feature extraction are ensured by systematically collecting various parameter data in the processing process of the ultra-thin wall internal threaded copper pipe; based on copper pipe processing technology theory, practical experience and research results, processing parameters closely related to expansion and contraction rate are accurately identified, and scientificity and pertinence of feature selection are ensured; by adopting a multi-element statistical method such as correlation analysis, principal component analysis, recursive feature elimination and the like, processing feature combinations with high association degree with expansion and contraction rate and strong mutual exclusivity are effectively screened out, redundant or noise features are removed, the data dimension is reduced, the effectiveness and the calculation efficiency of feature sets are improved, and the stability and the generalization capability of a prediction model are improved; the screened features are standardized and normalized, so that all the features have the same data scale and distribution characteristics, and the interference caused by different units, sizes and numerical ranges on model training and prediction is eliminated; the obtained data and information are systematically arranged and generalized to form a processing influence factor characteristic set of the internal thread copper pipe, so that the structuring and knowledge packaging of complex information in the copper pipe processing process are realized; the feature set is not only the direct input of a subsequent expansion and contraction rate prediction model, but also the refinement and accumulation of knowledge of the copper pipe processing technology, is convenient for the inheritance, updating and application of knowledge, and provides powerful data support for continuously optimizing the copper pipe processing technology and improving the expansion and contraction rate control strategy;
In conclusion, in the step S3, the precision and reliability of the expansion and contraction rate evaluation of the ultra-thin wall internal threaded copper pipe are remarkably improved through scientific and strict data collection, feature identification, optimized screening, data preprocessing and structured knowledge construction.
S4, taking the material influence factor feature set and the processing influence factor feature set as input data, and inputting the input data into a pre-constructed internal thread copper pipe expansion analysis model to obtain an ideal expansion and contraction rate of the internal thread copper pipe corresponding to the input data;
s4, constructing and applying an internal thread copper pipe expansion and contraction analysis model, and realizing accurate prediction of ideal expansion and contraction rate of the ultra-thin wall internal thread copper pipe under specific material characteristics and processing conditions; the limitations of the traditional empirical formula and the simple statistical analysis method are overcome, the influence of material characteristics and processing characteristics on the expansion and contraction rate can be fully considered, a scientific and systematic evaluation system is provided for the subsequent expansion and contraction rate evaluation and control, and the production quality and efficiency of the ultra-thin-wall internal thread copper pipe can be improved;
The construction method of the expansion and contraction analysis model of the internal thread copper pipe comprises the following steps:
s41, collecting material characteristic data and processing characteristic data of the ultrathin-wall internal thread copper pipe, and extracting characteristics with obvious influence on the expansion and contraction rate of the internal thread copper pipe from the collected material characteristic data and processing characteristic data;
s42, normalizing and standardizing the selected features to ensure the suitability and consistency of the data in the model and obtain a model training set;
s43, selecting a machine learning model as a model basis, wherein the machine learning model comprises a linear regression model, a support vector machine, a decision tree and a neural network;
s44, training the selected model by using a model training set, and minimizing a prediction error by adjusting model parameters and an optimization algorithm;
s45, evaluating the performance and generalization capability of the model by using an independent test set;
S46, applying the trained model to actual data, and predicting the ideal expansion and contraction rate of the internal thread copper pipe;
The calculation formula of the expansion and contraction analysis model of the internal thread copper pipe is as follows:
；
Wherein, Represents the ideal expansion and contraction rate of the internal thread copper pipeCharacteristic quantitative value of influence factor of ith material,/>Characteristic quantitative value of jth processing influence factor is expressed, i/(>Weight coefficient representing characteristic of ith material influencing factor,/>The weight coefficient representing the jth processing influence factor feature, n representing the number of material influence factor features, m representing the number of processing influence factor features,/>Function sum/>The functions represent normalized functions of the material impact factor characteristics and the process impact factor characteristics, respectively,/>And/>And respectively representing the influence weight coefficients of the material influence factor characteristics and the processing influence factor characteristics on the ideal expansion and contraction rate of the internal thread copper pipe.
In the step, by constructing an internal thread copper pipe expansion analysis model, the ideal expansion and contraction rate of the ultra-thin wall internal thread copper pipe can be accurately predicted under specific material characteristics and processing conditions, and the accuracy and reliability of production prediction are improved; the method overcomes the limitations of the traditional empirical formula and simple statistical analysis method, can more comprehensively consider the influence of material characteristics and processing characteristics on the expansion and contraction rate, and improves the accuracy and reliability of prediction; the constructed analysis model provides a scientific and systematic evaluation system for the subsequent expansion and contraction rate evaluation and control, so that the evaluation process is more objective and accurate, and the production quality and efficiency of the ultra-thin wall internal threaded copper pipe are improved; the machine learning model is selected as a basis, and potential rules and modes are mined in a large amount of data by utilizing the advantages of the machine learning model, so that the accuracy of prediction and the generalization capability are improved; by applying the trained model to actual data, the ideal expansion and contraction rate of the internal thread copper pipe can be predicted accurately in real time, and optimization and control of the production process are facilitated.
S5, performing expansion and contraction analysis on final forming size data and design requirement size data of the ultra-thin wall internal thread copper pipe to obtain the actual expansion and contraction rate of the internal thread copper pipe;
s5, through scientific and systematic size comparison and expansion and shrinkage ratio calculation, accurate assessment of actual expansion and shrinkage conditions of the ultra-thin wall internal threaded copper pipe is realized, and a solid data base is provided for subsequent quality control, process optimization and expansion and shrinkage ratio deviation analysis;
The method for obtaining the actual expansion and contraction rate of the internal thread copper pipe comprises the following steps:
s51, collecting final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
S52, comparing and analyzing the actual molding size data with the design requirement size data to determine the expansion and contraction rate; the material characteristics of the copper pipe, thermal deformation during processing and possible error sources need to be considered;
s53, correcting and correcting the data with errors to ensure the accuracy and reliability of the data;
S54, substituting the actual forming size data and the design requirement size data by using a calculation formula of the expansion and contraction rate, and calculating the actual expansion and contraction rate of the internal thread copper pipe.
In the step, the omnibearing comparison from the final forming size data to the design requirement size data is covered, so that the comprehensive grasp of the expansion and contraction condition of the copper pipe is ensured; meanwhile, the factors such as copper pipe material characteristics, processing thermal deformation and the like are considered, and data with errors possibly existing are corrected, so that the accuracy of expansion and shrinkage rate evaluation is greatly improved; the actual size is quantitatively compared with the design size, so that the scientificity of the evaluation process and the reproducibility of the result are ensured; the strict data processing flow ensures that the evaluation result is not influenced by accidental factors or measurement deviation, and enhances the credibility of the evaluation result; the accurate actual expansion and contraction rate of the internal thread copper pipe provides powerful data support for subsequent quality control and process optimization work; the method can clearly indicate the expansion and contraction problems and the severity thereof existing in the current production process, is helpful for pertinently adjusting material selection, processing parameters, cooling strategies and the like, so as to reduce the expansion and contraction rate and improve the quality and stability of products; through regular or batch monitoring of the expansion and shrinkage rate, enterprises can establish an expansion and shrinkage rate trend chart, track expansion and shrinkage changes in the production process in real time, discover abnormal fluctuation in time and early warn potential quality problems; the continuous improvement of the production process is facilitated, and the overall manufacturing level is improved; the accurate control of the expansion and contraction rate is beneficial to reducing the rejection rate and the rework cost caused by dimensional deviation, and optimizing the resource utilization, thereby effectively controlling the production cost; meanwhile, the stable expansion and contraction performance is beneficial to improving the consistency of products and the satisfaction of clients, and improving the market competitiveness and economic benefit of enterprises;
In conclusion, the step S5 is to scientifically and accurately obtain the actual expansion and contraction rate of the inner threaded copper pipe, so that a key basis is provided for product quality control and process optimization, the improvement of enterprise production efficiency, cost control and market competitiveness is promoted effectively, and the method has remarkable practical value and economic benefit.
S6, performing deviation analysis on the actual expansion and contraction rate of the inner threaded copper pipe and the ideal expansion and contraction rate of the inner threaded copper pipe to obtain an expansion and contraction rate evaluation result of the ultrathin-wall inner threaded copper pipe;
S6, performing deviation analysis on the actual expansion and contraction rate and the ideal expansion and contraction rate of the internal thread copper pipe to finally obtain an expansion and contraction rate evaluation result, and providing decision basis for product quality control and process optimization;
comparing the actual expansion and contraction rate of the internal thread copper pipe with the ideal expansion and contraction rate in a one-to-one correspondence manner, and respectively calculating the difference between the actual expansion and contraction rate and the ideal expansion and contraction rate for each key size parameter including pipe wall thickness, internal thread depth, thread pitch and pipe diameter so as to intuitively reflect the deviation between the actual processing result and theoretical expectation;
Setting grading standards of the deviation of the expansion and contraction rate, wherein the grading standards of the deviation comprise slight, general and serious, each category corresponds to a certain difference range, and the difference between the actual expansion and contraction rate and the ideal expansion and contraction rate is classified according to the standards so as to facilitate subsequent comprehensive evaluation and problem positioning;
Aiming at the size parameters with larger deviation, the reasons possibly causing the deviation of the expansion and contraction rate from an ideal value are deeply analyzed, the factors related to material characteristics, processing parameters, equipment states and environmental factors are found out by referring to historical data, on-site observation and experimental verification;
comprehensively considering the actual expansion and contraction rate, the ideal expansion and contraction rate deviation grade and the reason analysis result of each dimension parameter to form the integral evaluation of the expansion and contraction rate of the ultra-thin wall internal thread copper pipe, wherein the expansion and contraction rate evaluation result comprises the following steps:
A. The overall expansion and contraction performance evaluation comprises the steps of controlling the overall expansion and contraction rate well, solving the problem of larger expansion and contraction of partial size, and summarizing the advantages and disadvantages of the expansion and contraction condition of the copper pipe;
B. Summarizing the sizes and reasons of the problems, listing the size parameters with obvious expansion and contraction deviation and the main reasons thereof, and providing a targeted direction for subsequent improvement;
C. An improvement proposal and a countermeasure, aiming at the identified problems, a specific improvement proposal in the aspects of process adjustment, material selection, equipment maintenance, environmental control and the like is provided, and the aims of reducing the expansion and contraction rate and improving the product quality are fulfilled;
D. The follow-up monitoring and feedback mechanism recommends the monitoring of the expansion and contraction rate at regular intervals or in batches, tracks the effect of the improvement measures, forms closed-loop quality management and continuously optimizes the expansion and contraction rate control;
and (3) sorting the evaluation result, the reason analysis and the improvement suggestion into a swelling and shrinking rate evaluation report, and clearly and accurately presenting the swelling and shrinking rate evaluation report to related departments and management personnel.
In the step, the actual expansion and contraction rate and the ideal expansion and contraction rate are compared in a one-to-one correspondence manner on each key size parameter, and deviation grade standards are set, so that the deviation degree of the actual expansion and contraction conditions of each size and an expected target can be accurately measured, and a solid data base is laid for subsequent analysis and evaluation; aiming at the dimension parameters with larger deviation, the method carries out deep analysis from multiple dimensions such as material characteristics, processing technological parameters, equipment states, environmental factors and the like, and effectively identifies the root cause causing the deviation of the expansion and contraction rate from an ideal value by means of looking up historical data, field observation, experimental verification and the like, thereby providing a clear direction for solving the problems; comprehensively considering the deviation grade of the expansion and contraction rate and the analysis result of the reasons, the step forms the overall evaluation of the expansion and contraction rate of the ultra-thin wall internal thread copper pipe, including overall expansion and contraction performance evaluation, problem size and reason summarization, improvement suggestion and countermeasure, and subsequent monitoring and feedback mechanism, which is helpful for pertinently adjusting the technological parameters, selecting proper materials, maintaining equipment and optimizing environmental conditions, thereby effectively reducing the expansion and contraction rate and improving the product quality; the proposal of establishing a regular expansion and contraction rate monitoring mechanism, tracking the effect of improvement measures, forming a closed-loop quality management flow, ensuring the sustainability and effectiveness of expansion and contraction rate control work, being beneficial to timely finding and solving the newly appearing problems and promoting the continuous optimization of the production process; the evaluation result, the reason analysis and the improvement suggestion are arranged into an expansion and shrinkage rate evaluation report, and the expansion and shrinkage rate evaluation report is presented to related departments and management staff in a clear and accurate form, so that all parties can understand the general appearance of the current expansion and shrinkage problem conveniently, consensus is achieved, cooperation is promoted, and all improvement measures are ensured to be effectively executed;
in summary, the expansion and contraction control capability in the copper pipe production process is obviously improved through the accurate evaluation, the deep cause analysis and the systematic improvement suggestion of the expansion and contraction rate of the ultra-thin wall internal thread copper pipe, which is beneficial to improving the product quality stability, reducing the production cost and enhancing the market competitiveness of enterprises.
Embodiment two: as shown in FIG. 3, the ultra-thin wall internal thread expansion and contraction rate evaluation system of the invention specifically comprises the following modules;
The data acquisition module is used for collecting material characteristic data, processing characteristic data, final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
The material characteristic influence factor extraction module is used for extracting expansion influence factors of material characteristic data of the ultrathin-wall internal thread copper pipe and obtaining a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The processing characteristic influence factor extraction module is used for extracting expansion influence factors of processing characteristic data of the ultrathin-wall internal thread copper pipe and obtaining a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The theoretical expansion and contraction analysis module is used for taking the material influence factor characteristic set and the processing influence factor characteristic set as input data, inputting the input data into a pre-constructed internal thread copper pipe expansion and contraction analysis model, and obtaining the ideal expansion and contraction rate of the internal thread copper pipe corresponding to the input data;
The actual expansion and contraction rate analysis module is used for carrying out expansion and contraction analysis on the final forming size data and the design requirement size data of the ultra-thin wall internal thread copper pipe to obtain the actual expansion and contraction rate of the internal thread copper pipe;
The expansion and shrinkage rate evaluation module is used for carrying out deviation analysis on the actual expansion and shrinkage rate of the inner threaded copper pipe and the ideal expansion and shrinkage rate of the inner threaded copper pipe, and obtaining an expansion and shrinkage rate evaluation result of the ultrathin-wall inner threaded copper pipe.
The system covers the whole process from data acquisition, influence factor extraction to expansion and shrinkage calculation and evaluation, ensures that analysis of expansion and shrinkage covers a plurality of key dimensions such as material characteristics, processing characteristics, final forming size, design requirements and the like, and forms omnibearing and multi-level understanding and evaluation of expansion and shrinkage phenomena;
The specific material properties and the processing conditions affecting the expansion and shrinkage rate can be accurately identified and quantified through the material property influence factor extraction module and the processing property influence factor extraction module, so that the ambiguity and subjectivity possibly existing in the traditional empirical formula or simple statistical analysis are avoided; meanwhile, the theoretical expansion and contraction analysis module and the actual expansion and contraction rate analysis module calculate the expansion and contraction rate based on a scientific model and actual measurement data respectively, so that the accuracy of an evaluation result is improved;
the theoretical expansion and contraction analysis module utilizes a pre-constructed internal thread copper pipe expansion and contraction analysis model, integrates the influence of material characteristics and processing characteristics on the expansion and contraction rate, and realizes comprehensive prediction of the expansion and contraction rate; the method overcomes the limitation that the traditional method ignores the interaction of materials and processing factors, and reflects the internal rule of the expansion and contraction rate more truly;
The expansion and shrinkage rate evaluation module can directly point out the expansion and shrinkage problem in the production of the copper pipe through the deviation analysis of the ideal expansion and shrinkage rate and the actual expansion and shrinkage rate, provides a definite direction for improving the process, adjusting the material formula or optimizing the design, is beneficial to solving the expansion and shrinkage rate problem in a targeted way, and improves the quality stability of the product;
The expansion and shrinkage rate evaluation result provided by the system has a strong scientific basis, can provide decision support for production management staff, guide the production management staff to take reasonable process adjustment and quality control measures, reduce the product performance reduction and the production cost increase caused by the expansion and shrinkage problem, and further improve the overall production efficiency and economic benefit;
The system is easy to realize standardized operation and automatic data processing, is beneficial to reducing human errors and improving the working efficiency, is beneficial to keeping consistency among different production batches, and is convenient for monitoring the expansion and contraction rate trend for a long time and continuously improving;
In summary, the ultra-thin wall internal thread expansion and shrinkage rate evaluation system effectively solves the expansion and shrinkage rate problem in the ultra-thin wall internal thread copper pipe processing process by the characteristics of comprehensiveness, accuracy, comprehensiveness, pertinence, scientific guidance, standardization and automation, improves the product quality and the production efficiency, reduces the production cost, and enhances the competitiveness of enterprises in the fields of refrigeration, heat exchange, fluid control and the like.
The various modifications and embodiments of the ultra-thin wall internal thread expansion rate evaluation method in the first embodiment are equally applicable to the ultra-thin wall internal thread expansion rate evaluation system of the present embodiment, and those skilled in the art will be able to clearly know the implementation of the ultra-thin wall internal thread expansion rate evaluation system of the present embodiment through the foregoing detailed description of the ultra-thin wall internal thread expansion rate evaluation method, so that the description will not be repeated here for brevity.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and variations can be made without departing from the technical principles of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (10)
1. An ultra-thin wall internal thread expansion and contraction rate evaluation method, which is characterized by comprising the following steps:
collecting material characteristic data, processing characteristic data, final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
Extracting expansion and contraction influence factors from material characteristic data of the ultrathin-wall internal thread copper pipe to obtain a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
Extracting expansion and contraction influence factors from the processing characteristic data of the ultrathin-wall internal thread copper pipe to obtain a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The method comprises the steps of taking a material influence factor characteristic set and a processing influence factor characteristic set as input data, inputting the input data into a pre-constructed internal thread copper pipe expansion analysis model, and obtaining an ideal expansion and contraction rate of the internal thread copper pipe corresponding to the input data;
performing expansion and contraction analysis on final forming size data and design requirement size data of the ultra-thin wall internal thread copper pipe to obtain the actual expansion and contraction rate of the internal thread copper pipe;
and performing deviation analysis on the actual expansion and shrinkage rate of the inner threaded copper pipe and the ideal expansion and shrinkage rate of the inner threaded copper pipe to obtain an expansion and shrinkage rate evaluation result of the ultrathin-wall inner threaded copper pipe.
2. The method for evaluating the expansion and shrinkage rate of the ultra-thin wall internal thread according to claim 1, wherein the calculation formula of the expansion and shrinkage analysis model of the internal thread copper pipe is as follows:
；
wherein, Represents the ideal expansion and contraction rate of the internal thread copper pipeCharacteristic quantization values representing the ith material influence factor,Characteristic quantitative value of jth processing influence factor is expressed, i/(>A weight coefficient characterizing the ith material influencing factor,The weight coefficient representing the jth processing influence factor feature, n representing the number of material influence factor features, m representing the number of processing influence factor features,/>Function sum/>The functions represent normalized functions of the material impact factor characteristics and the process impact factor characteristics, respectively,/>And/>And respectively representing the influence weight coefficients of the material influence factor characteristics and the processing influence factor characteristics on the ideal expansion and contraction rate of the internal thread copper pipe.
3. The ultra-thin wall internal thread expansion and contraction rate assessment method according to claim 2, wherein the internal thread copper pipe expansion and contraction analysis model construction method comprises the following steps:
collecting material characteristic data and processing characteristic data of the ultrathin-wall internal threaded copper pipe, and extracting characteristics from the collected material characteristic data and processing characteristic data;
normalizing and standardizing the selected characteristics to obtain a model training set;
Selecting a machine learning model as a model basis, wherein the machine learning model comprises a linear regression model, a support vector machine, a decision tree and a neural network;
training the selected model by using a model training set, and minimizing a prediction error by adjusting model parameters and an optimization algorithm;
Evaluating performance and generalization ability of the model using independent test sets;
and applying the trained model to actual data, and predicting the ideal expansion and contraction rate of the internal thread copper pipe.
4. The method for evaluating the expansion and contraction rate of the ultra-thin wall internal thread according to claim 1, wherein the method for acquiring the characteristic set of the material influence factors comprises the following steps:
Accurately measuring chemical components of the copper pipe, including copper content and impurity element proportion;
observing and quantitatively analyzing the grain size, shape, distribution, texture and second phase precipitate of the copper pipe by using a metallographic microscope, a scanning electron microscope and a transmission electron microscope;
measuring mechanical property parameters of the copper pipe, including tensile strength, yield strength, elongation and hardness;
Checking defects of the copper pipe, wherein the defects comprise inclusion, segregation, cracks and air hole defects;
detecting the thickness, uniformity, adhesive force and corrosion resistance of the surface coating of the ultrathin-wall internal threaded copper pipe subjected to surface treatment;
and (3) performing systematic arrangement and induction on the obtained data and information to form a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe.
5. The method for evaluating the expansion and contraction rate of the ultra-thin wall internal thread according to claim 1, wherein the method for acquiring the characteristic set of the processing influence factors comprises the following steps:
Collecting various parameter data in the process of processing the internal thread copper pipe, including processing temperature, cooling speed, extrusion force, drawing speed, die type and abrasion condition, lubrication condition, annealing treatment parameters, internal thread forming process and related parameters thereof;
identifying processing parameters closely related to the expansion and contraction rate based on a copper pipe processing technology theory;
Carrying out quantization treatment on the identified processing influence factors, and converting the identified processing influence factors into characteristic values for data analysis;
Screening out processing characteristic combinations with high association degree and strong mutual exclusivity with expansion and contraction rate, and eliminating redundancy and noise characteristics;
Carrying out standardization and normalization treatment on the characteristics;
And (5) performing systematic arrangement and induction on the obtained data and information to form a processing influence factor characteristic set of the internal thread copper pipe.
6. The method for evaluating the expansion and shrinkage rate of the ultra-thin wall internal thread according to claim 1, wherein the method for acquiring the actual expansion and shrinkage rate of the internal thread copper pipe comprises the following steps:
collecting final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
comparing and analyzing the actual molding size data with the design requirement size data to determine the expansion and contraction rate;
Correcting and revising the data with errors;
Substituting the actual forming size data and the size data required by design into a calculation formula of the expansion and contraction rate to calculate the actual expansion and contraction rate of the internal thread copper pipe.
7. The ultra-thin wall internal thread expansion rate assessment method according to claim 1, wherein said expansion rate assessment results include overall expansion performance assessment, problem size and cause summarization, improvement advice and countermeasures, follow-up monitoring and feedback mechanisms.
8. An ultra-thin wall internal thread expansion and contraction rate evaluation system, the system comprising:
The data acquisition module is used for collecting material characteristic data, processing characteristic data, final forming size data and design requirement size data of the ultrathin-wall internal threaded copper pipe;
The material characteristic influence factor extraction module is used for extracting expansion influence factors of material characteristic data of the ultrathin-wall internal thread copper pipe and obtaining a material influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The processing characteristic influence factor extraction module is used for extracting expansion influence factors of processing characteristic data of the ultrathin-wall internal thread copper pipe and obtaining a processing influence factor characteristic set of the ultrathin-wall internal thread copper pipe;
The theoretical expansion and contraction analysis module is used for taking the material influence factor characteristic set and the processing influence factor characteristic set as input data, inputting the input data into a pre-constructed internal thread copper pipe expansion and contraction analysis model, and obtaining the ideal expansion and contraction rate of the internal thread copper pipe corresponding to the input data;
The actual expansion and contraction rate analysis module is used for carrying out expansion and contraction analysis on the final forming size data and the design requirement size data of the ultra-thin wall internal thread copper pipe to obtain the actual expansion and contraction rate of the internal thread copper pipe;
The expansion and shrinkage rate evaluation module is used for carrying out deviation analysis on the actual expansion and shrinkage rate of the inner threaded copper pipe and the ideal expansion and shrinkage rate of the inner threaded copper pipe, and obtaining an expansion and shrinkage rate evaluation result of the ultrathin-wall inner threaded copper pipe.
9. An ultra-thin-wall internal thread expansion ratio evaluation electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor realizes the steps in the method according to any one of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000279076A (en) * | 1999-03-29 | 2000-10-10 | Toray Monofilament Co Ltd | Fishing line and its production |
| CN1979496A (en) * | 2005-12-02 | 2007-06-13 | 中国科学院金属研究所 | Copper-alloy pipe-material casting-milling technology parameter designing and optimizing method |
| CN101058142A (en) * | 2007-05-29 | 2007-10-24 | 江阴新华宏铜业有限公司 | Method for preparing copper and nickel alloy seamless copper tube |
| CN106695260A (en) * | 2017-01-11 | 2017-05-24 | 洛阳Lyc轴承有限公司 | Ring rolling method for copper pipe of bearing retaining frame |
| WO2021244029A1 (en) * | 2020-05-30 | 2021-12-09 | 北京航空航天大学 | Evaluation method for reliability, elasticity, and brittleness states of system |
| EP4151329A1 (en) * | 2020-07-10 | 2023-03-22 | JFE Steel Corporation | Steel pipe roundness prediction model generation method, steel pipe roundness prediction method, steel pipe roundness control method, steel pipe manufacturing method, and steel pipe roundness prediction device |
| CN115938507A (en) * | 2021-10-04 | 2023-04-07 | 欧特克公司 | Injection Molding Warpage Prediction |
| CN116933419A (en) * | 2023-07-18 | 2023-10-24 | 常州润来科技有限公司 | Precision copper pipe performance evaluation method and system based on process analysis |
-
2024
- 2024-05-11 CN CN202410581890.3A patent/CN118155779B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000279076A (en) * | 1999-03-29 | 2000-10-10 | Toray Monofilament Co Ltd | Fishing line and its production |
| CN1979496A (en) * | 2005-12-02 | 2007-06-13 | 中国科学院金属研究所 | Copper-alloy pipe-material casting-milling technology parameter designing and optimizing method |
| CN101058142A (en) * | 2007-05-29 | 2007-10-24 | 江阴新华宏铜业有限公司 | Method for preparing copper and nickel alloy seamless copper tube |
| CN106695260A (en) * | 2017-01-11 | 2017-05-24 | 洛阳Lyc轴承有限公司 | Ring rolling method for copper pipe of bearing retaining frame |
| WO2021244029A1 (en) * | 2020-05-30 | 2021-12-09 | 北京航空航天大学 | Evaluation method for reliability, elasticity, and brittleness states of system |
| EP4151329A1 (en) * | 2020-07-10 | 2023-03-22 | JFE Steel Corporation | Steel pipe roundness prediction model generation method, steel pipe roundness prediction method, steel pipe roundness control method, steel pipe manufacturing method, and steel pipe roundness prediction device |
| CN115938507A (en) * | 2021-10-04 | 2023-04-07 | 欧特克公司 | Injection Molding Warpage Prediction |
| CN116933419A (en) * | 2023-07-18 | 2023-10-24 | 常州润来科技有限公司 | Precision copper pipe performance evaluation method and system based on process analysis |
Non-Patent Citations (2)
| Title |
|---|
| CHOI: "Changes in Dimension and Mechanical Characteristics of Copper Pipe System during Pipe Processing", JOURNAL OF THE KOREAN SOCIETY FOR PRECISION ENGINEERING, vol. 31, no. 7, 1 January 2014 (2014-01-01), pages 615 - 622 * |
| 李国刚, 吕如民!300191: "紫铜管三通接头的轴向压缩胀形工艺及模具设计", 锻压机械, no. 03, 30 June 2000 (2000-06-30), pages 26 - 28 * |
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