A method and system for optimizing parameters of a small-diameter thin-wall threaded pipe

Abstract

The present application relates to the technical field of copper pipe optimization, and particularly relates to a thin-wall threaded pipe parameter optimization method and system, which comprises the following steps: determining an initial pipe type parameter group of the thin-wall threaded pipe according to the use demand parameters, establishing a corresponding threaded pipe three-dimensional model, and carrying out a simulation test; determining a geometric improvement factor and a comprehensive performance factor according to the simulation test result, adjusting the initial pipe type parameter group of the thin-wall threaded pipe according to the values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor, and obtaining a test pipe type parameter group; carrying out a simulation test under the condition of full permutation combination of multiple thin-wall threaded pipe parameters according to the test pipe type parameter group, and obtaining a series of pipe type parameter groups under the condition of full permutation combination; screening and integrating the series of pipe type parameter groups, and establishing a pipe type parameter performance database; and determining an optimal solution meeting the use demand, and realizing the standardized storage and multidimensional analysis of the parameters and performance data.

Description

Technical Field

[0001] This invention relates to the field of copper tube optimization technology, and in particular to a method and system for optimizing parameters of small-diameter, thin-walled threaded pipes. Background Technology

[0002] Threaded pipes are widely used in modern industry and construction, especially in water supply and drainage systems, HVAC systems, and gas transmission. With technological advancements, small-diameter, thin-walled threaded pipes have gradually become a focus of industry attention due to their lightweight, high strength, and excellent connection performance.

[0003] In related technologies, due to the lack of standard models for thin-walled threaded pipes with small diameters, the determination of parameters for these pipes based on usage requirements mainly relies on a "segmented simulation + trial and error verification" model. Specifically, parameters such as tooth height and helix angle are initially determined through empirical formulas and simulation calculations, and then performance is tested by producing small batches of samples to obtain locally optimal parameters. However, the above method has the following drawbacks: limited by the cost of parameter calculation and product testing, it can only determine some optimized parameter combinations, while many optimization schemes are not involved, resulting in non-optimal parameters for the final thin-walled threaded pipe. Furthermore, during the optimization process, parameter and performance data are scattered, making it impossible to form a traceable and reusable structured database, which requires repeated basic experiments during subsequent process iterations, wasting time and effort.

[0004] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the present invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method and system for optimizing parameters of thin-diameter threaded pipes, to determine the optimal solution that meets specific usage requirements, and to build a performance database of pipe parameters to effectively integrate and store data.

[0006] To achieve the above objectives, the technical solution adopted by this invention is: a method for optimizing parameters of small-diameter, thin-walled threaded pipes, comprising the following steps:

[0007] Determine the initial pipe type parameter set for the thin-walled threaded pipe based on the usage requirements parameters, and establish the corresponding three-dimensional model of the threaded pipe for simulation experiments;

[0008] The geometric enhancement factor and the comprehensive performance factor are determined based on the simulation test results. The geometric enhancement factor is used to quantify the influence of pipe geometry parameters on heat transfer and flow resistance performance, and the comprehensive performance factor is used to represent the contradictory relationship between enhanced heat transfer and increased flow resistance.

[0009] The initial tube profile parameter set of the thin-diameter thin-walled threaded pipe is adjusted according to the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test tube profile parameter set.

[0010] Based on the aforementioned set of test tube parameters, simulation tests were conducted under the condition of full permutation combination of parameters for multiple small-diameter thin-walled threaded tubes, and a series of tube parameter sets under several full permutation combination conditions were obtained.

[0011] The series of pipe type parameter groups were screened and integrated to establish a pipe type parameter comparison performance database.

[0012] Furthermore, the process of determining the initial pipe type parameter set for the thin-walled threaded pipe based on usage requirements and establishing a corresponding three-dimensional model of the threaded pipe for simulation testing includes the following steps:

[0013] Based on the usage requirements parameters, the design parameters of similar small-diameter thin-walled threaded pipes are selected as the initial pipe type parameter set, and the corresponding three-dimensional model of the threaded pipe is established.

[0014] The three-dimensional model of the threaded pipe was subjected to independent structured mesh generation, and turbulence simulation, wall simulation, and heat transfer simulation were performed.

[0015] Set the corresponding boundary conditions according to different simulation scenarios and perform finite element analysis to obtain the corresponding simulation results.

[0016] Furthermore, the geometric enhancement factor is determined based on the simulation test results, including:

[0017] The simulation results obtained under different simulation conditions are analyzed to form a visualized flow field diagram;

[0018] The visualized flow field diagram is analyzed, and the empirical constants corresponding to the three-dimensional model of the threaded pipe are determined based on the analysis results. ;

[0019] The geometric enhancement factor It is obtained by calculation using the following formula:

[0020]

[0021] in, This indicates the tooth height in the tubular parameter group. This indicates the inner diameter in the pipe type parameter group. Indicates the helix angle in the tube type parameter group. This indicates the pitch in the pipe type parameter group.

[0022] Furthermore, the analysis of the visualized flow field diagram, and the determination of the empirical constants corresponding to the three-dimensional model of the threaded pipe based on the analysis results, includes:

[0023] Extract velocity gradient distribution, temperature distribution, and local velocity vector features from the visualized flow field diagram;

[0024] Based on the velocity gradient distribution and temperature distribution, a multivariate regression model is constructed to determine the correlation weights between the pipe type parameter set and each empirical constant.

[0025] The empirical constants are adjusted iteratively using the range convergence method. The value of the empirical constant is chosen to match the empirical constant range with the preset turbulence intensity error range and the preset heat transfer performance error range. The empirical constant is related to the ratio of the maximum return velocity of the tooth groove. The empirical constant is associated with the inter-tooth temperature gradient. The empirical constant is associated with the pressure drop in the helical flow channel. Related to secondary flow intensity;

[0026] The range of empirical constants is corrected based on the material properties to confirm the empirical constants corresponding to the three-dimensional model of the threaded pipe.

[0027] Furthermore, the comprehensive performance factor is determined based on the simulation test results, including:

[0028] Key parameters are extracted based on the visualized flow field diagram to obtain the average Nusselt number. Darcy friction factor The average Nusselt number The ratio used to describe the intensity of convective heat transfer to that of pure conduction is obtained by local Nusselt number integration averaging on the radial cross-section of the threaded pipe; the Darcy friction factor... It is used to quantify fluid flow resistance and is calculated based on the static pressure difference, flow velocity, and pipe diameter at the inlet and outlet sections of the pipe flow field.

[0029] The comprehensive performance factor It is obtained by calculation using the following formula:

[0030] .

[0031] Furthermore, adjusting the initial pipe profile parameter set of the thin-diameter, thin-walled threaded pipe based on the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test pipe profile parameter set includes the following steps:

[0032] Determine the influence of different parameters in the tube type parameter group on the geometric improvement factor, and sort them by sensitivity in descending order of their influence on the geometric improvement factor;

[0033] Based on the sensitivity ranking, the adjustment range of different parameters in the pipe type parameter group is determined in turn to meet the requirements of the comprehensive performance factor fluctuation range.

[0034] The adjustment range of each parameter is summarized to form the test tube parameter group.

[0035] Furthermore, the step of conducting simulation experiments considering all permutations of parameters for multiple small-diameter thin-walled threaded pipes based on the test pipe type parameter set, and obtaining a series of pipe type parameter sets under several permutations, includes the following steps:

[0036] The adjustment range of each parameter in the test tube parameter group is divided into equal steps according to the set division precision, so that each parameter corresponds to several adjustment values.

[0037] Each adjustment value of different parameters is permuted and combined to form several adjustment tube type parameter groups;

[0038] Several sets of the adjusted pipe type parameters were applied to the three-dimensional model of the threaded pipe and finite element analysis was performed to obtain the corresponding geometric improvement factor and comprehensive performance factor.

[0039] By summarizing and organizing each set of adjustable pipe parameters and its corresponding geometric improvement factor and comprehensive performance factor, a series of pipe parameter sets under several full permutation combinations are obtained.

[0040] Furthermore, the process of screening and integrating the series of pipe type parameter groups to establish a pipe type parameter comparison performance database includes the following steps:

[0041] Remove duplicate data from the series of pipe type parameter groups, and sort and number the remaining series of pipe type parameter groups;

[0042] According to the geometric enhancement factor and comprehensive performance factor The process performance and material properties of the remaining series of pipe type parameter groups are evaluated and sorted in descending order of their excellence to form a pipe type parameter comparison performance database.

[0043] Furthermore, the tube parameters include at least the outer diameter of the tube wall, the inner diameter of the tube wall, the bottom wall thickness, the tooth wall thickness, the tooth height, the tooth tip angle, the helix angle, the tooth pitch, the number of teeth, the tooth tip radius, and the tooth root radius.

[0044] The present invention also provides a parameter optimization system for small-diameter thin-walled threaded pipes, using the parameter optimization method for small-diameter thin-walled threaded pipes as described in any of the preceding claims, comprising:

[0045] The initial confirmation module is used to determine the initial pipe type parameter set for small-diameter thin-walled threaded pipes based on usage requirements parameters.

[0046] The simulation test module is used to create a three-dimensional model of the threaded pipe corresponding to the small-diameter thin-walled threaded pipe and conduct simulation tests.

[0047] The parameter adjustment module is used to determine the geometric improvement factor and the comprehensive performance factor based on the simulation test results, and to adjust the initial pipe type parameter set of the thin-diameter threaded pipe according to the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test pipe type parameter set.

[0048] The full-permutation test module is used to conduct simulation tests under full-permutation combination conditions considering multiple small-diameter thin-walled threaded pipe parameters based on the test pipe type parameter set, and obtain a series of pipe type parameter sets under several full-permutation combination conditions;

[0049] The screening and integration module is used to screen and integrate the series of pipe type parameter groups and establish a pipe type parameter comparison performance database.

[0050] The beneficial effects of this invention are as follows: Through full permutation and combination simulation experiments, this invention can cover all potential parameter combinations, ensuring the optimal selection of pipe type parameters; and by selecting and adjusting pipe type parameters based on geometric improvement factors and comprehensive performance factors, it can comprehensively consider the balance between structural parameters and overall function, ensuring that the pipe type parameter set meets the usage requirements; by establishing a pipe type parameter comparison performance database, it can achieve standardized storage, rapid retrieval, and multi-dimensional analysis of parameter and performance data, greatly reducing the cost of repeated experiments and providing data support for subsequent optimization schemes. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a flowchart illustrating the parameter optimization method for thin-diameter threaded pipes in an embodiment of the present invention.

[0053] Figure 2 This is a schematic diagram of the simulation experiment process in an embodiment of the present invention;

[0054] Figure 3 This is a schematic diagram of the process for obtaining empirical constants in an embodiment of the present invention;

[0055] Figure 4 This is a schematic diagram of the process for obtaining the test tube parameter group in an embodiment of the present invention;

[0056] Figure 5 This is a schematic diagram of the process for obtaining a series of pipe type parameter groups in an embodiment of the present invention;

[0057] Figure 6 This is a schematic diagram of the process for obtaining the pipe type parameter comparison performance database in an embodiment of the present invention;

[0058] Figure 7 This is a schematic diagram of the structure of the parameter optimization system for thin-diameter threaded pipes in an embodiment of the present invention. Detailed Implementation

[0059] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0060] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly attached to the other element or there may be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only possible implementation.

[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0062] like Figures 1 to 6 The parameter optimization method for small-diameter, thin-walled threaded pipes shown includes the following steps:

[0063] Determine the initial pipe type parameter set for the thin-walled threaded pipe based on the usage requirements parameters, and establish the corresponding three-dimensional model of the threaded pipe for simulation experiments;

[0064] Based on the simulation test results, the geometric improvement factor and the comprehensive performance factor were determined. The initial pipe profile parameter set for the thin-diameter, thin-walled threaded pipe was adjusted according to the values ​​and fluctuation trends of these two factors to obtain the experimental pipe profile parameter set. The geometric improvement factor quantifies the degree to which the pipe's geometric parameters improve heat transfer and flow resistance performance; it is positively correlated with tooth height and helix angle, and negatively correlated with inner diameter and pitch. The comprehensive performance factor represents the balance between enhanced heat transfer and increased flow resistance; a larger value indicates better comprehensive performance.

[0065] Based on the test tube parameter set, simulation tests were carried out under the full permutation combination conditions of parameters of multiple small-diameter thin-walled threaded tubes to obtain a series of tube parameter sets under several full permutation combination conditions;

[0066] Screen and integrate a series of pipe type parameter groups to establish a pipe type parameter comparison performance database.

[0067] This invention, through full permutation and combination simulation experiments, can cover all potential parameter combinations, ensuring the optimal selection of pipe type parameters. Furthermore, by selecting and adjusting pipe type parameters based on geometric improvement factors and comprehensive performance factors, it can comprehensively consider the balance between structural parameters and overall function, ensuring that the pipe type parameter set meets the usage requirements. By establishing a pipe type parameter comparison performance database, it achieves standardized storage, rapid retrieval, and multi-dimensional analysis of parameter and performance data, greatly reducing the cost of repeated experiments and providing data support for subsequent optimization schemes.

[0068] Specifically, the initial set of pipe profile parameters for thin-walled threaded pipes with small diameters is determined based on the usage requirements parameters, thereby providing guidance for the optimization of the pipe profile parameter set and ensuring that the resulting pipe profile parameter set can meet the usage requirements. The usage requirements parameters generally include pressure requirements, fluid characteristics, processing requirements, etc. The pipe profile parameters include at least the outer diameter of the pipe wall, the inner diameter of the pipe wall, the bottom wall thickness, the tooth wall thickness, the tooth height, the tooth tip angle, the helix angle, the tooth pitch, the number of teeth, the tooth tip radius, and the tooth root radius.

[0069] The geometric enhancement factor quantifies the impact of internal geometric parameters on performance, representing the degree of performance enhancement relative to smooth pipes. The comprehensive performance factor integrates factors such as mechanical properties and process performance. Adjusting the initial pipe parameter set based on the geometric enhancement factor and the comprehensive performance factor enables multi-objective and multi-directional optimization decisions, avoiding performance imbalance.

[0070] After obtaining the test tube parameters, a full permutation and combination simulation test is conducted. By traversing all possible parameter combinations, a complete relationship between parameters and performance values ​​is constructed to prevent the omission of parameter combinations and ensure the integrity and reliability of the resulting tube parameter comparison performance database.

[0071] By constructing a performance database that compares pipe type parameters, a correspondence between different pipe type parameters and their corresponding performance is established, which can more effectively integrate data, reduce the cost of repeated calculations and errors, and provide a data source for further optimization.

[0072] Based on the above embodiments, the initial pipe type parameter set of the thin-walled threaded pipe is determined according to the usage requirements parameters, and the corresponding three-dimensional model of the threaded pipe is established. The simulation test includes the following steps:

[0073] Based on the usage requirements parameters, the design parameters of similar small-diameter thin-walled threaded pipes are selected as the initial pipe type parameter set, and the corresponding three-dimensional model of the threaded pipe is established. By calling the pipe types of similar models in historical data and combining them with the current usage requirements parameters to establish the initial pipe type parameter set as the optimization model, it is possible to avoid randomly searching for parameter ranges from scratch and directly perform iterative correction based on the verified parameters of similar models, which greatly shortens the optimization processing time.

[0074] Independent structured meshing is used for the 3D model of the threaded pipe, and turbulence simulation, wall simulation, and heat transfer simulation are performed. For different parts of the 3D model of the threaded pipe, such as micro-features, a hybrid structure mesh can be used to accurately capture local morphological changes while ensuring computational efficiency, thereby ensuring optimal mesh density and reducing prediction error accuracy. Through turbulence simulation, the influence of fluid selection inside the threaded pipe on pipe vibration, such as frequency response characteristics, can be analyzed. Wall simulation can evaluate the stress and deformation of thin-walled structures under fluid pressure. Heat transfer simulation can predict the temperature distribution and thermal stress under high heat flux density scenarios. By comprehensively considering multiple simulation methods, the working conditions of the threaded pipe can be simulated.

[0075] Set corresponding boundary conditions and perform finite element analysis according to different simulation conditions to obtain corresponding simulation results; set corresponding dynamic boundary conditions for different simulation conditions according to actual application scenarios, so as to improve the accuracy of subsequent geometric improvement factor and comprehensive performance factor results.

[0076] Based on the above embodiments, the geometric improvement factor is determined according to the simulation test results, including:

[0077] The simulation results obtained under different simulation conditions are analyzed to form a visualized flow field diagram;

[0078] The visualized flow field diagram is analyzed, and the empirical constants corresponding to the three-dimensional model of the threaded pipe are determined based on the analysis results. ;

[0079] Geometric Enhancement Factor It is obtained by calculation using the following formula:

[0080]

[0081] in, This indicates the tooth height in the tubular parameter group. This indicates the inner diameter in the pipe type parameter group. Indicates the helix angle in the tube type parameter group. This indicates the pitch in the pipe type parameter group.

[0082] The geometry enhancement factor, calculated using the above method, comprehensively considers the structural parameters of the pipe type parameter group and the simulation results after simulation. It combines the effects of parameters such as tooth height and helix angle on performance such as turbulence disturbance, and introduces empirical constants as corrections based on simulation results, thereby quantitatively evaluating the impact of the internal geometric parameters of the pipe on performance.

[0083] Based on the above embodiments, the visualized flow field diagram is analyzed, and the empirical constants corresponding to the three-dimensional model of the threaded pipe are determined by fitting the analysis results, including:

[0084] Extract velocity gradient distribution, temperature distribution, and local velocity vector features from the visualized flow field map;

[0085] A multivariate regression model was constructed based on the velocity gradient distribution and temperature distribution to determine the correlation weights between the pipe type parameter set and each empirical constant.

[0086] The empirical constants are adjusted iteratively using the range convergence method. The value of the empirical constant is chosen to match the results of the empirical constant range with the preset turbulence intensity error range and the preset heat transfer performance error range. An empirical constant related to the ratio of maximum backflow velocity in the tooth groove. Empirical constant related to inter-tooth temperature gradient Empirical constant related to pressure drop in helical flow channels It is related to the secondary flow intensity; among them, the maximum backflow velocity ratio of the tooth groove can be extracted from the velocity vector diagram, the temperature gradient between the teeth can be extracted from the temperature cloud diagram, the pressure drop of the spiral channel can be extracted from the pressure cloud diagram, and the secondary flow intensity can be calculated based on the vortex flow distribution diagram after determining the vortex contour lines.

[0087] The range of empirical constants is corrected based on material properties to confirm the empirical constants corresponding to the three-dimensional model of the threaded pipe.

[0088] The selection of empirical constants and their ranges is based on fitting various visualized flow field data, such as velocity gradient maps, temperature distribution maps, and velocity vector maps generated through simulation. Key features are extracted, and operations such as multivariate regression analysis, sensitivity analysis, and range convergence are performed to determine the range of empirical constants that ensures the accuracy of the prediction. The influence of different materials or process conditions is comprehensively considered in the selection process. Further selection of specific values ​​for empirical constants that meet the current design requirements ensures that the simulation error is within the acceptable range and satisfies the accuracy requirements for subsequent set-based factor determination. Specifically, the empirical constants can be set as follows: , , , No specific limitations are specified here.

[0089] Based on the above embodiments, the comprehensive performance factor is determined according to the simulation test results, including:

[0090] Key parameters are extracted from the visualized flow field diagram to obtain the average Nusselt number. Darcy friction factor Average Nusel number The ratio used to describe the intensity of convective heat transfer to that of pure conduction is obtained by local Nusselt number integration averaging over the radial cross-section of the threaded pipe; Darcy friction factor. It is used to quantify fluid flow resistance and is calculated based on the static pressure difference, flow velocity, and pipe diameter at the inlet and outlet sections of the pipe flow field.

[0091] Comprehensive performance factor It is obtained by calculation using the following formula:

[0092] .

[0093] Average Nusselt number Darcy friction factor These factors, namely the geometric improvement factor and the comprehensive performance factor, reflect the heat transfer efficiency and fluid resistance characteristics of the threaded pipe, respectively. The geometric improvement factor and the comprehensive performance factor quantify the combined impact of the pipe profile parameters on heat transfer intensity, flow resistance suppression, mechanical properties, and thermal stability through the average Nusselt number and Darcy friction factor. This avoids performance imbalances caused by optimizing a single indicator and ensures the reliability of pipe profile parameter optimization. The comprehensive performance factor, through the above methods, comprehensively considers the influencing factors of mechanical properties such as heat conduction and fluid fluctuations, as well as process performance, under the pipe profile parameters. It balances the impact on heat transfer performance and flow resistance performance, thereby quantitatively evaluating the performance under the application environment.

[0094] Specifically, by avoiding visualized flow field maps such as heat transfer coefficient cloud maps and flow field pressure cloud maps, abnormal areas such as turbulent separation zones and local high-temperature points within the threaded groove can be quickly identified. For example, vortices caused by a sudden drop in flow velocity at the tooth root can be detected; the average Nusselt number... The Nusselt number, used to describe the ratio between the intensity of convective heat transfer and pure conduction, is obtained based on parameters such as the local convective heat transfer coefficient, characteristic lengths (e.g., pipe length, pipe diameter), and the thermal conductivity of the fluid in the three-dimensional model of the threaded pipe. The integral average of the Nusselt number over the entire heat transfer surface is the average Nusselt number. Darcy friction factor Fluid flow resistance can be quantified by parameters such as the static pressure difference between the inlet and outlet sections of the flow field, the flow velocity, and the pipe diameter. Furthermore, when a local backflow zone is detected, the Darcy friction factor can also be used. Apply a turbulence correction factor; no specific limitations are specified here.

[0095] Based on the above embodiments, the initial tube profile parameter set of the thin-diameter, thin-walled threaded pipe is adjusted according to the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test tube profile parameter set, including the following steps:

[0096] The influence of different parameters in the pipe type parameter group on the geometric improvement factor is determined, and their sensitivity is ranked in descending order of influence on the geometric improvement factor. Specifically, data analysis methods such as analysis of variance can be used to quantify the sensitivity of each parameter to the geometric improvement factor. For example, if the thread tooth height causes a fluctuation of ±0.15 in the geometric improvement factor, while the pitch change only causes a fluctuation of ±0.03, then the thread tooth height is ranked first and the pitch is ranked second, thereby focusing on the adjustment of high-impact parameters and avoiding disturbances caused by low-impact parameters.

[0097] Based on the sensitivity ranking, the adjustment range of different parameters in the tube type parameter group is determined sequentially to meet the fluctuation range requirements of the comprehensive performance factor. Specifically, the allowable adjustment range of each parameter can be derived in reverse based on the threshold range requirements of the comprehensive performance factor. For example, although increasing the tooth height can improve the value of the comprehensive performance factor to a certain extent, if it exceeds a certain level, the comprehensive performance factor may also fall below the safety threshold due to the influence of related parameters. Therefore, the adjustment range of each parameter can be determined based on the sensitivity ranking, and the requirements of the geometric improvement factor and the comprehensive performance factor can be met.

[0098] The adjustment ranges of each parameter are summarized to form a test tube parameter set. This set provides selectable adjustment ranges for each parameter, ensuring the comprehensiveness of the subsequent series of tube parameter set data. Specifically, the test tube parameter set is obtained through the synergistic effect of the geometric enhancement factor and the comprehensive performance factor. Based on the quantitative strengthening ability of the geometric enhancement factor on structural parameters and the dynamic balance mechanism of the comprehensive performance factor on the contradiction between heat transfer and flow resistance, the test parameter set achieves a simultaneous breakthrough in the geometric structural strengthening and comprehensive functional improvement of thin-diameter, thin-walled threaded tubes while ensuring process feasibility, overcoming the performance imbalance problem. Furthermore, the dual-factor correction method ensures full coverage of the adjusted test tube parameter set range, eliminating the defects of local optimal solutions caused by omissions in parameter set range values, and ensuring the globality and completeness of the optimal solution.

[0099] Based on the above embodiments, simulation experiments considering all permutations of parameters for multiple small-diameter thin-walled threaded pipes are conducted according to the experimental pipe type parameter set. Obtaining a series of pipe type parameter sets under several permutations includes the following steps:

[0100] The adjustment range of each parameter in the test tube parameter group is divided into equal steps according to the set division precision, so that each parameter corresponds to several adjustment values. Specifically, the continuous parameter range is discretized into finite level values ​​according to the set precision to realize the grid-based cutting of the parameter space. For example, the adjustment range of the helix angle is 28°-32°, which can be divided into five specific adjustment values ​​of 28°, 29°, 30°, 31°, and 32° with a division precision of 1°. In addition, the corresponding step division density can also be set according to the sensitivity of different parameters. For example, if the sensitivity of the helix angle is high, the division precision can be adjusted to 0.5°, 0.1°, etc., thereby eliminating the optimization blind zone caused by skip sampling, ensuring the optimization accuracy of key parameters, and avoiding computational waste.

[0101] For each adjustment value of different parameters, a full permutation and combination is performed to form several adjustment tube type parameter groups; by traversing the adjustment value of each parameter, an adjustment tube type parameter group without omission is generated, thereby covering all potential optimal solutions and improving the comprehensiveness and completeness of data optimization.

[0102] Several sets of adjustable pipe type parameters are applied to the 3D model of the threaded pipe for finite element analysis to obtain the corresponding geometric improvement factor and comprehensive performance factor. Specifically, the obtained sets of adjustable pipe type parameters can be sequentially mapped to the 3D model of the threaded pipe and the mesh can be regenerated for automated finite element analysis using scripting tools, which improves the accuracy and convenience of data processing. Furthermore, unified processing can be performed to ensure that the geometric improvement factor and comprehensive performance factor of all adjustable pipe type parameter sets are obtained according to the same standard, further eliminating the impression of bias and facilitating the subsequent compilation and summarization to form a pipe type parameter comparison performance database.

[0103] Each set of adjustable pipe parameters and its corresponding geometric improvement factor and comprehensive performance factor are summarized and organized to obtain a series of pipe parameter sets under several full permutation combinations; this ensures that each data structure is consistent, making it easy to organize, query and maintain.

[0104] Based on the above embodiments, the process of screening and integrating a series of pipe type parameter groups to establish a pipe type parameter comparison performance database includes the following steps:

[0105] Duplicate data in the series of pipe type parameter groups are removed, and the remaining series of pipe type parameter groups are sorted and numbered. Specifically, redundant data caused by repeated submissions of simulation tasks or parameter fine-tuning can be eliminated through similarity threshold judgment. For example, if the difference between any two data in a series of pipe type parameter groups is less than 0.5%, they are considered duplicates and need to be removed, thereby optimizing storage resources, avoiding multiple results occupying database space, and improving subsequent retrieval and response time.

[0106] Based on geometric enhancement factor and comprehensive performance factor The process performance and material performance of the remaining series of pipe type parameter groups are evaluated and sorted in descending order of their excellence to form a pipe type parameter comparison performance database. Specifically, the geometric improvement factor and comprehensive performance factor can reflect the excellence of the structure and performance of the threaded pipe. According to the needs of actual application scenarios, the pipe type usage requirements under different application scenarios can be reasonably considered to form a targeted excellence ranking to meet differentiated usage requirements.

[0107] In addition, to increase the traceability of the database, metadata tags can be attached to each adjustment pipe parameter group and its corresponding geometric improvement factor and comprehensive performance factor in the series of pipe parameter groups, including simulation time, mesh density, boundary condition version, etc., so as to support data traceability and reproduction verification; when the data of the relevant pipe parameter group is updated in the future, the historical parameter group data can also be retained and the failure status marked to ensure the continuity of technology iteration.

[0108] Taking a thin-walled copper threaded tube with an outer diameter of 3.8 mm and a wall thickness of 0.2 mm as an example, the specific explanation is as follows: the initial tube type parameter set can be selected as the tooth height. , inner diameter helix angle pitch A three-dimensional model of the threaded pipe was established, and unstructured meshing was performed using ANSYS Fluent with a minimum element size of 0.02 mm. The fluid was set as water, with an inlet velocity of 2 m / s and a temperature of 300 K. Turbulence simulation and heat transfer analysis were conducted. The simulation results were extracted and analyzed to obtain the average Nusselt number. Darcy friction factor Empirical constants , , , To obtain the initial geometric improvement factor Initial comprehensive performance factor Parameter adjustments and full-permutation experiments were conducted, and the sensitivity ranking was based on tooth height. (Sensitivity ±0.18) > Helix Angle (±0.12) > pitch (±0.06), the adjustment range is the tooth height. mm, helix angle °, pitch mm; the division accuracy is tooth height. Using a step size of 0.05mm and a helix angle Using 1° step size and pitch Using a step size of 0.1 mm, a total of 216 sets of series of tube shape parameters were generated; after screening and integration, the optimal parameter set was determined to be the tooth height. helix angle pitch The corresponding geometric improvement factor Comprehensive performance factor Overall performance was improved by 35.3%; meanwhile, 158 valid series of pipe type parameter groups were retained after screening, sorted in descending order of comprehensive performance factor value, and numbered sequentially from P001 to P158, and stored in the database with the following fields: pipe type parameter group, geometric improvement factor. Comprehensive performance factor Simulation time.

[0109] like Figure 7 As shown, the present invention also provides a parameter optimization system for small-diameter, thin-walled threaded pipes, comprising:

[0110] The initial confirmation module is used to determine the initial pipe type parameter set for small-diameter thin-walled threaded pipes based on usage requirements parameters.

[0111] The simulation test module is used to create a three-dimensional model of the threaded pipe corresponding to the small-diameter thin-walled threaded pipe and conduct simulation tests.

[0112] The parameter adjustment module is used to determine the geometric improvement factor and the comprehensive performance factor based on the simulation test results, and to adjust the initial pipe type parameter set of the thin-diameter thin-walled threaded pipe according to the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test pipe type parameter set.

[0113] The full-permutation test module is used to conduct simulation tests under full-permutation combination conditions considering multiple small-diameter thin-walled threaded pipe parameters based on the test pipe type parameter set, and obtain a series of pipe type parameter sets under several full-permutation combination conditions;

[0114] The screening and integration module is used to screen and integrate a series of pipe type parameter groups and establish a pipe type parameter comparison performance database.

[0115] This system achieves standardization and intelligence in parameter optimization through a modular architecture, covering the entire closed loop from initial parameter generation to full permutation and combination verification, ensuring that the optimal solution covers all feasible parameter spaces. By comprehensively considering the mechanical properties, application scenarios, process quality, and economics of the pipe material through geometric improvement factors and comprehensive performance factors, a pipe type parameter comparison performance database generated by full permutation simulation is formed, which can quickly match the optimization scheme to the target requirements and greatly reduce the cost of repeated experiments.

[0116] The specific working method of the above system has been explained in the above embodiments, and will not be repeated here.

[0117] This invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the above-mentioned method for optimizing parameters of thin-diameter threaded pipes, including: determining an initial set of pipe type parameters for thin-diameter threaded pipes based on usage requirements parameters, establishing a corresponding three-dimensional model of the threaded pipe, and conducting simulation experiments; determining a geometric improvement factor and a comprehensive performance factor based on the simulation experiment results, and adjusting the initial set of pipe type parameters for thin-diameter threaded pipes based on the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test set of pipe type parameters; conducting simulation experiments under full permutation and combination conditions considering multiple thin-diameter threaded pipe parameters based on the test set of pipe type parameters to obtain a series of pipe type parameter sets under several full permutation and combination conditions; screening and integrating the series of pipe type parameter sets to establish a pipe type parameter comparison performance database.

[0118] This invention also provides a computer-readable storage medium that can be sold or used as an independent product. The storage medium stores a computer program that, when executed by a processor, implements the steps of the above-described method for optimizing parameters of thin-diameter, thin-walled threaded pipes. These steps include: determining an initial set of pipe type parameters for the thin-diameter, thin-walled threaded pipe based on usage requirements; establishing a corresponding three-dimensional model of the threaded pipe and conducting simulation experiments; determining a geometric improvement factor and a comprehensive performance factor based on the simulation results; adjusting the initial set of pipe type parameters for the thin-diameter, thin-walled threaded pipe based on the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test set of pipe type parameters; conducting simulation experiments considering all permutations of parameters for multiple thin-diameter, thin-walled threaded pipes based on the test set of pipe type parameters to obtain a series of pipe type parameter sets under several permutation combinations; and screening and integrating the series of pipe type parameter sets to establish a pipe type parameter comparison performance database.

[0119] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0120] This application is described with reference to flowchart illustrations and / or block diagrams of methods, systems, and computer program products according to embodiments of this application. 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 program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, 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, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0121] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0122] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0123] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0124] Those skilled in the art should understand that this invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to this invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing parameters of thin-diameter, thin-walled threaded pipes, characterized in that, Includes the following steps: Determine the initial pipe type parameter set for the thin-walled threaded pipe based on the usage requirements parameters, and establish the corresponding three-dimensional model of the threaded pipe for simulation experiments; The geometric enhancement factor and the comprehensive performance factor are determined based on the simulation test results. The geometric enhancement factor is used to quantify the influence of pipe geometry parameters on heat transfer and flow resistance performance, and the comprehensive performance factor is used to represent the contradictory relationship between enhanced heat transfer and increased flow resistance. The initial tube profile parameter set of the thin-diameter thin-walled threaded pipe is adjusted according to the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test tube profile parameter set. Based on the aforementioned set of test tube parameters, simulation tests were conducted under the condition of full permutation combination of parameters for multiple small-diameter thin-walled threaded tubes, and a series of tube parameter sets under several full permutation combination conditions were obtained. Screen and integrate the series of pipe type parameter groups to establish a pipe type parameter comparison performance database; The geometric enhancement factor is determined based on the simulation test results, including: The simulation results obtained under different simulation conditions are analyzed to form a visualized flow field diagram; The visualized flow field diagram is analyzed, and the empirical constants corresponding to the three-dimensional model of the threaded pipe are determined based on the analysis results. ; The geometric enhancement factor It is obtained by calculation using the following formula: ； in, This indicates the tooth height in the tubular parameter group. This indicates the inner diameter in the pipe type parameter group. Indicates the helix angle in the tube type parameter group. Indicates the pitch in the tube type parameter group; The comprehensive performance factor is determined based on the simulation test results, including: Key parameters are extracted based on the visualized flow field diagram to obtain the average Nusselt number. Darcy friction factor The average Nusselt number The ratio used to describe the intensity of convective heat transfer to that of pure conduction is obtained by local Nusselt number integration averaging on the radial cross-section of the threaded pipe; the Darcy friction factor... It is used to quantify fluid flow resistance and is calculated based on the static pressure difference, flow velocity, and pipe diameter at the inlet and outlet sections of the pipe flow field. The comprehensive performance factor It is obtained by calculation using the following formula: ； The process of adjusting the initial pipe profile parameter set of the thin-diameter, thin-walled threaded pipe based on the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test pipe profile parameter set includes the following steps: Determine the influence of different parameters in the tube type parameter group on the geometric improvement factor, and sort them by sensitivity in descending order of their influence on the geometric improvement factor; Based on the sensitivity ranking, the adjustment range of different parameters in the pipe type parameter group is determined in turn to meet the requirements of the comprehensive performance factor fluctuation range. The adjustment range of each parameter is summarized to form the test tube parameter group.

2. The method for optimizing parameters of thin-walled threaded pipes with small diameter according to claim 1, characterized in that, The process of determining the initial pipe type parameter set for the thin-walled threaded pipe based on usage requirements and establishing the corresponding three-dimensional model of the threaded pipe for simulation testing includes the following steps: Based on the usage requirements parameters, the design parameters of similar small-diameter thin-walled threaded pipes are selected as the initial pipe type parameter set, and the corresponding three-dimensional model of the threaded pipe is established. The three-dimensional model of the threaded pipe was subjected to independent structured mesh generation, and turbulence simulation, wall simulation, and heat transfer simulation were performed. Set the corresponding boundary conditions according to different simulation scenarios and perform finite element analysis to obtain the corresponding simulation results.

3. The method for optimizing parameters of thin-walled threaded pipes with small diameter according to claim 1, characterized in that, The analysis of the visualized flow field diagram, and the determination of the empirical constants corresponding to the three-dimensional model of the threaded pipe based on the analysis results, includes: Extract velocity gradient distribution, temperature distribution, and local velocity vector features from the visualized flow field diagram; Based on the velocity gradient distribution and temperature distribution, a multivariate regression model is constructed to determine the correlation weights between the pipe type parameter set and each empirical constant. The empirical constants are adjusted iteratively using the range convergence method. The value of the empirical constant is chosen to match the empirical constant range with the preset turbulence intensity error range and the preset heat transfer performance error range. The empirical constant is related to the ratio of the maximum return velocity of the tooth groove. The empirical constant is associated with the inter-tooth temperature gradient. The empirical constant is associated with the pressure drop in the helical flow channel. Related to secondary flow intensity; The range of empirical constants is corrected based on the material properties to confirm the empirical constants corresponding to the three-dimensional model of the threaded pipe.

4. The method for optimizing parameters of thin-walled threaded pipes with small diameter according to claim 1, characterized in that, The process of conducting simulation experiments considering all permutations of parameters for multiple small-diameter thin-walled threaded pipes based on the test pipe type parameter set, and obtaining a series of pipe type parameter sets under several permutations, includes the following steps: The adjustment range of each parameter in the test tube parameter group is divided into equal steps according to the set division precision, so that each parameter corresponds to several adjustment values. Each adjustment value of different parameters is permuted and combined to form several adjustment tube type parameter groups; Several sets of the adjusted pipe type parameters were applied to the three-dimensional model of the threaded pipe and finite element analysis was performed to obtain the corresponding geometric improvement factor and comprehensive performance factor. By summarizing and organizing each set of adjustable pipe parameters and its corresponding geometric improvement factor and comprehensive performance factor, a series of pipe parameter sets under several full permutation combinations are obtained.

5. The method for optimizing parameters of thin-walled threaded pipes with small diameter according to claim 1, characterized in that, The process of screening and integrating the series of pipe type parameter groups to establish a pipe type parameter comparison performance database includes the following steps: Remove duplicate data from the series of pipe type parameter groups, and sort and number the remaining series of pipe type parameter groups; According to the geometric enhancement factor and comprehensive performance factor The process performance and material properties of the remaining series of pipe type parameter groups are evaluated and sorted in descending order of their excellence to form a pipe type parameter comparison performance database.

6. The method for optimizing parameters of thin-walled threaded pipes with small diameter according to claim 1, characterized in that, The tube parameters include at least the outer diameter of the tube wall, the inner diameter of the tube wall, the bottom wall thickness, the tooth wall thickness, the tooth height, the tooth tip angle, the helix angle, the tooth pitch, the number of teeth, the tooth tip radius, and the tooth root radius.

7. A parameter optimization system for thin-walled threaded pipes with small diameter, using the parameter optimization method for thin-walled threaded pipes as described in any one of claims 1 to 6, characterized in that, include: The initial confirmation module is used to determine the initial pipe type parameter set for small-diameter thin-walled threaded pipes based on usage requirements parameters. The simulation test module is used to create a three-dimensional model of the threaded pipe corresponding to the small-diameter thin-walled threaded pipe and conduct simulation tests. The parameter adjustment module is used to determine the geometric improvement factor and the comprehensive performance factor based on the simulation test results, and to adjust the initial pipe type parameter set of the thin-diameter threaded pipe according to the values ​​and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test pipe type parameter set. The full-permutation test module is used to conduct simulation tests under full-permutation combination conditions considering multiple small-diameter thin-walled threaded pipe parameters based on the test pipe type parameter set, and obtain a series of pipe type parameter sets under several full-permutation combination conditions; The screening and integration module is used to screen and integrate the series of pipe type parameter groups and establish a pipe type parameter comparison performance database.

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