Small-diameter thin-wall threaded pipe parameter optimization method and system

Abstract

The invention relates to the technical field of copper pipe optimization, in particular to a small-diameter thin-wall threaded pipe parameter optimization method and system, and the method comprises the steps: determining an initial pipe type parameter group of a small-diameter thin-wall threaded pipe according to use demand parameters, building 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 a simulation test result, and adjusting the initial pipe type parameter set of the small-diameter thin-wall threaded pipe according to numerical values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test pipe type parameter set; according to the test tube type parameter group, carrying out a simulation test under the condition of full permutation and combination considering the parameters of the plurality of small-diameter thin-wall threaded tubes, and obtaining a plurality of series tube type parameter groups under the condition of full permutation and combination; screening and integrating a series of tube type parameter groups, and establishing a tube type parameter contrast performance database; therefore, an optimal solution meeting the use requirements is determined, and standardized storage and multi-dimensional analysis of parameters and performance data are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of copper pipe optimization, and in particular to a method and system for optimizing parameters of a thin-diameter, thin-walled, threaded pipe. Background Art

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

[0003] In the related art, due to the lack of standard models of fine-diameter thin-walled threaded pipes, the parameters of fine-diameter thin-walled threaded pipes are determined according to usage requirements mainly relying on the "segmented simulation + trial and error verification" mode. Specifically, the tooth height, helix angle and other parameters are preliminarily determined through empirical formulas and simulation calculations, and then the performance is measured by trial-producing small batches of samples, and the local optimal parameters are obtained by screening. However, the above method has the following defects. Due to the limitations of parameter calculation and product testing costs, it can only determine some optimized parameter combinations, while a large number of optimization schemes are not involved, resulting in the final obtained parameters of the fine-diameter thin-walled threaded pipe being non-optimal solutions. Moreover, during the optimization process, the parameters and performance data are scattered, and a traceable and reusable structured database cannot be formed, resulting in the need to repeat basic tests in subsequent process iterations, wasting time and energy.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention and should not be regarded as an admission or any form of suggestion that the information constitutes the 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 the parameters of thin-walled threaded pipes with small diameters, to determine the optimal solution that meets specific usage requirements, and to construct a pipe parameter comparison performance database to effectively integrate and store data.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a method for optimizing parameters of thin-diameter, thin-walled threaded pipes, comprising the following steps:

[0007] Determine the initial tube parameter set for thin-diameter, thin-walled threaded pipes based on the required parameters, and establish a corresponding 3D model of the threaded pipe for simulation testing.

[0008] Determine the geometric improvement factor and comprehensive performance factor based on the simulation test results. The geometric improvement factor is used to quantify the influence of the pipe geometric parameters on the heat transfer and flow resistance performance. The comprehensive performance factor is used to balance the conflicting relationship between heat transfer enhancement and flow resistance increase.

[0009] Adjusting the initial pipe shape parameter group 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 a test pipe shape parameter group;

[0010] Based on the test pipe parameter set, simulation tests are carried out under full permutation and combination conditions considering multiple parameters of thin-diameter, thin-walled, threaded pipes, to obtain a series of pipe parameter sets under several full permutation and combination conditions;

[0011] The series of cast parameter groups are screened and integrated to establish a cast parameter comparison performance database.

[0012] Furthermore, the initial tube type parameter group of the thin-diameter, thin-walled threaded pipe is determined according to the required parameters, and a corresponding three-dimensional model of the threaded pipe is established, and the simulation test is performed, including the following steps:

[0013] According to the required usage parameters, the design parameters of similar-sized thin-walled threaded pipes are selected as the initial pipe type parameter group, and a corresponding threaded pipe three-dimensional model is established;

[0014] The three-dimensional model of the threaded pipe is divided into independent structured grids, and turbulence simulation, wall simulation and heat transfer simulation are performed;

[0015] According to different simulation situations, corresponding boundary conditions are set and finite element analysis is performed to obtain corresponding simulation results.

[0016] Furthermore, the geometric improvement factor is determined according to the simulation test results, including:

[0017] Analyze the simulation results obtained under different simulation conditions to form a visual flow field diagram;

[0018] Analyze the visualized flow field diagram, and determine the empirical constants k, m, n, and p corresponding to the three-dimensional model of the threaded pipe according to the analysis results;

[0019] The geometric improvement factor R x Calculated by the following formula:

[0020]

[0021] Wherein, e represents the tooth height in the tube parameter group, D represents the inner diameter in the tube parameter group, θ represents the helix angle in the tube parameter group, and P represents the pitch in the tube parameter group.

[0022] Furthermore, analyzing the visualized flow field diagram and determining empirical constants corresponding to the three-dimensional model of the threaded pipe by fitting according to the analysis results include:

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

[0024] A multivariate regression model is constructed based on the velocity gradient distribution and the temperature distribution to determine the association weights between the tube parameter group and each empirical constant;

[0025] The range convergence method is used to iteratively adjust the values of the empirical constants k, m, n, and p so that the empirical constant range results match the preset turbulence intensity error range and the preset heat transfer performance error range. The empirical constant k is associated with the maximum reflow velocity ratio of the tooth groove, the empirical constant m is associated with the temperature gradient between the teeth, the empirical constant n is associated with the pressure drop of the spiral flow channel, and the empirical constant p is associated with the secondary flow intensity.

[0026] The empirical constant range is modified according to the material properties to confirm the empirical constant corresponding to the threaded pipe three-dimensional model.

[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 Nu and the Darcy friction factor f. The average Nusselt number Nu is used to describe the ratio between the intensity of convective heat transfer and pure heat conduction, and is obtained by solving the integral average of the local Nusselt number of the radial cross section of the threaded pipe. The Darcy friction factor f is used to quantify the fluid flow resistance and is calculated based on the static pressure difference between the inlet and outlet sections of the pipe flow field, the flow velocity, and the pipe diameter.

[0029] The comprehensive performance factor η is calculated by the following formula:

[0030]

[0031] Furthermore, adjusting the initial tube shape parameter group 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 tube shape parameter group includes the following steps:

[0032] Determine the influence of different parameters in the tube parameter group on the geometric improvement factor, and sort the sensitivity from large to small in order of influence on the geometric improvement factor;

[0033] According to the sensitivity ranking, the adjustment range of different parameters in the tube parameter group is determined in turn to meet the fluctuation range requirements of the comprehensive performance factor;

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

[0035] Furthermore, the simulation test is carried out based on the test pipe parameter group under full permutation and combination conditions of multiple small-diameter thin-walled threaded pipe parameters to obtain a series of pipe parameter groups under multiple full permutation and combination conditions, including the following steps:

[0036] The adjustment range of each parameter in the test tube type parameter group is divided into equal steps according to the set division accuracy, so that each parameter corresponds to a plurality of adjustment values;

[0037] Perform full permutation and combination of each adjustment value of different parameters to form several adjustment tube type parameter groups;

[0038] Applying several of the adjusted pipe shape parameter groups to the threaded pipe three-dimensional model to perform finite element analysis respectively to obtain corresponding geometric improvement factors and comprehensive performance factors;

[0039] Each of the adjusted tube parameter groups and their corresponding geometric improvement factors and comprehensive performance factors are summarized and sorted to obtain a series of tube parameter groups under several full permutation and combination conditions.

[0040] Furthermore, the screening and integration of the series of cast parameter groups to establish a cast parameter comparison performance database includes the following steps:

[0041] Eliminate duplicate data in the series of cast parameter groups, and sort and number the remaining series of cast parameter groups;

[0042] According to the geometric improvement factor R x The process performance and material properties of the remaining series of pipe parameter groups are evaluated using the comprehensive performance factor η, and are arranged in descending order according to their excellence to form a pipe parameter comparison performance database.

[0043] Furthermore, the tube type 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 top angle, the helix angle, the tooth pitch, the number of teeth, the tooth top arc radius, and the tooth root arc radius.

[0044] The present invention further provides a system for optimizing parameters of thin-diameter, thin-walled threaded pipes, using the method for optimizing parameters of thin-diameter, thin-walled threaded pipes as described above, comprising:

[0045] An initial confirmation module is used to determine an initial pipe type parameter group of a thin-diameter, thin-walled threaded pipe according to usage requirement parameters;

[0046] The simulation test module is used to build a three-dimensional model of a threaded pipe corresponding to a thin-diameter, thin-walled threaded pipe and conduct simulation tests;

[0047] a parameter adjustment module for determining a geometric improvement factor and a comprehensive performance factor based on the simulation test results, and adjusting an initial tube shape parameter set of a thin-diameter, thin-walled threaded tube based on the values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test tube shape parameter set;

[0048] A full permutation test module is used to carry out simulation tests under full permutation and combination conditions considering multiple parameters of thin-diameter and thin-walled threaded pipes based on the test pipe parameter group, and obtain a series of pipe parameter groups under multiple full permutation and combination conditions;

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

[0050] The beneficial effects of the present invention are as follows: the present invention can cover all potential parameter combinations through full permutation and combination simulation tests, ensuring the optimality of tube parameter selection; and by selecting and adjusting tube parameters based on geometric improvement factors and comprehensive performance factors, it can comprehensively consider the balance between structural parameters and overall functions, ensuring that the tube parameter group meets usage requirements; by establishing a tube parameter comparison performance database, standardized storage, rapid retrieval and multi-dimensional analysis of parameter and performance data are achieved, greatly reducing the cost of repeated experiments and providing data support for subsequent optimization solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 Schematic diagram of the process of optimizing the parameters of a thin-diameter, thin-walled threaded pipe according to an embodiment of the present invention;

[0053] Figure 2 Schematic diagram of the simulation test process in an embodiment of the present invention;

[0054] Figure 3 Schematic diagram of the process of obtaining empirical constants in an embodiment of the present invention;

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

[0056] Figure 5 Schematic diagram of the process of obtaining a series of tube type parameter groups in an embodiment of the present invention;

[0057] Figure 6 Schematic diagram of the process of obtaining a cast parameter comparison performance database in an embodiment of the present invention;

[0058] Figure 7 Schematic diagram of the structure of the parameter optimization system for thin-diameter and thin-walled threaded pipes in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

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

[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit 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 thin-diameter, thin-walled threaded pipes shown in the figure includes the following steps:

[0063] Determine the initial tube parameter set for thin-diameter, thin-walled threaded pipes based on the required parameters, and establish a corresponding 3D model of the threaded pipe for simulation testing.

[0064] Based on the simulation test results, the geometric improvement factor and comprehensive performance factor are determined. The initial tube parameter set for the thin-diameter, thin-walled threaded tube is adjusted based on the values and fluctuation trends of the geometric improvement factor and comprehensive performance factor to obtain a test tube parameter set. The geometric improvement factor is used to quantify the degree to which the tube geometry parameters improve heat transfer and flow resistance performance. It is positively correlated with the tooth height and helix angle, and negatively correlated with the inner diameter and pitch. The comprehensive performance factor is used to balance the conflicting relationship between enhanced heat transfer and increased flow resistance. A larger value indicates better overall performance.

[0065] Based on the experimental pipe parameter set, simulation tests were carried out under full permutation and combination conditions of multiple small-diameter, thin-walled, threaded pipe parameters, and a series of pipe parameter sets under several full permutation and combination conditions were obtained.

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

[0067] Through full permutation and combination simulation tests, the present invention can cover all potential parameter combinations and ensure the optimality of tube parameter selection. Furthermore, by selecting and adjusting tube parameters based on geometric improvement factors and comprehensive performance factors, the balance between structural parameters and overall functions can be comprehensively considered to ensure that the tube parameter set meets usage requirements. By establishing a tube parameter comparison and performance database, standardized storage, rapid retrieval, and multi-dimensional analysis of parameter and performance data are achieved, significantly reducing the cost of repeated experiments and providing data support for subsequent optimization solutions.

[0068] Specifically, the initial tube parameter group of the thin-diameter, thin-walled threaded pipe is determined according to the usage requirement parameters, thereby forming a guide for the optimization direction of the tube parameter group to ensure that the formed tube parameter group can meet the usage requirements. The usage requirement parameters generally include pressure requirements, fluid characteristics, processing requirements, etc. 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 top angle, the helix angle, the tooth pitch, the number of teeth, the tooth top arc radius, and the tooth root arc radius.

[0069] The geometric improvement factor quantitatively evaluates the impact of the geometric shape parameters inside the pipe on performance. It represents 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 group based on the geometric improvement factor and the comprehensive performance factor can achieve multi-objective and multi-directional optimization decisions and avoid performance imbalances.

[0070] After obtaining the test tube parameters, a full permutation and combination simulation test is carried out. By traversing all possible parameter combinations, a complete relationship between parameters and performance values is constructed to prevent the occurrence of parameter combination omissions and ensure the integrity and credibility of the formed tube parameter comparison performance database.

[0071] By constructing a tube parameter comparison performance database, a corresponding relationship between different tube parameters and corresponding performance is formed, which can more effectively integrate data, reduce the cost of repeated calculations and errors, and provide a data source for subsequent further optimization.

[0072] Based on the above embodiment, the initial tube parameter group of the thin-diameter, thin-walled threaded pipe is determined according to the required parameters, and a corresponding three-dimensional model of the threaded pipe is established. The simulation test includes the following steps:

[0073] Based on the required usage parameters, the design parameters of similar thin-diameter, thin-walled threaded pipes are selected as the initial pipe parameter group to establish the corresponding threaded pipe 3D model. By calling similar pipe types from historical data and combining them with the current required usage parameters to establish the initial pipe parameter group as the optimization model, it is possible to avoid randomly searching the parameter range from scratch and directly perform iterative corrections based on the verified parameters of similar models, greatly shortening the optimization processing time.

[0074] Independent structured meshing is used for the three-dimensional model of the threaded pipe, and turbulence simulation, wall simulation, and heat transfer simulation are performed. For different parts of the three-dimensional model of the threaded pipe, such as micro features, a hybrid structure network can be used to accurately capture local morphological changes while ensuring computational efficiency, thereby ensuring optimal mesh density and reducing the accuracy of prediction errors. Turbulence simulation can analyze the impact of the fluid in the threaded pipe on the vibration of the pipe, such as frequency response characteristics, etc. 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 in high heat flux density scenarios. Through a variety of simulation methods, comprehensive consideration can be made to simulate the working conditions of the threaded pipe.

[0075] According to different simulation situations, corresponding boundary conditions are set and finite element analysis is performed to obtain corresponding simulation results. According to the actual application scenarios, corresponding dynamic boundary conditions are set for different simulation situations, so as to improve the accuracy of the subsequent geometric improvement factors and comprehensive performance factor results.

[0076] On the basis of the above embodiment, the geometric improvement factor is determined according to the simulation test results, including:

[0077] Analyze the simulation results obtained under different simulation conditions to form a visual flow field diagram;

[0078] Analyze the visualized flow field diagram and determine the empirical constants k, m, n, and p corresponding to the three-dimensional model of the threaded pipe based on the analysis results;

[0079] Geometric improvement factor R x Calculated by the following formula:

[0080]

[0081] Wherein, e represents the tooth height in the tube parameter group, D represents the inner diameter in the tube parameter group, θ represents the helix angle in the tube parameter group, and P represents the pitch in the tube parameter group.

[0082] The geometric improvement factor is calculated using the above method, taking into account the structural parameters of the pipe 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 turbulent disturbance, and introduces empirical constants as corrections based on the simulation results, thereby quantitatively evaluating the impact of the geometric shape parameters in the pipe on performance.

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

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

[0085] A multivariate regression model was constructed based on velocity gradient distribution and temperature distribution to determine the association weights between the tube parameter group and each empirical constant.

[0086] The range convergence method is used to iteratively adjust the values of the empirical constants k, m, n, and p so that the empirical constant range results match the preset turbulence intensity error range and the preset heat transfer performance error range. The empirical constant k is associated with the maximum recirculation velocity ratio of the tooth slot, the empirical constant m is associated with the temperature gradient between the teeth, the empirical constant n is associated with the pressure drop of the spiral flow channel, and the empirical constant p is associated with the secondary flow intensity. Among them, the maximum recirculation velocity ratio of the tooth slot 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 flow channel can be extracted from the pressure cloud diagram, and the secondary flow intensity can be calculated based on the vortex flow distribution diagram to determine the vortex isoline.

[0087] The empirical constant range is modified according to the material properties, and the empirical constant corresponding to the threaded pipe three-dimensional model is confirmed.

[0088] The selection of empirical constants and their ranges is based on the fitting of various visualized flow field data, such as velocity gradient maps, temperature distribution maps, velocity vector maps, etc. generated by simulation. Key features are extracted, and multiple regression analysis, sensitivity analysis, range convergence and other operations are performed to determine the range of empirical constants that meets the authenticity of the prediction. The selection is made by comprehensively considering the influence of different materials or process conditions, and further selecting specific values of empirical constants that meet the current design requirements to ensure that the simulation error is within the range and meets the accuracy of the subsequent set to improve the factor value determination. Specifically, the empirical constants can be set to k = 0.15, m = 0.5, n = 1, p = -0.2, which are not specifically limited here.

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

[0090] Key parameters were extracted based on the visualized flow field diagram to obtain the average Nusselt number Nu and Darcy friction factor f. The average Nusselt number Nu is used to describe the ratio between the intensity of convective heat transfer and pure heat conduction, and is obtained by solving the integral average of the local Nusselt number of the radial cross section of the threaded pipe. The Darcy friction factor f is used to quantify the fluid flow resistance and is calculated based on the static pressure difference between the inlet and outlet sections of the pipe flow field, the flow velocity, and the pipe diameter.

[0091] The comprehensive performance factor η is calculated by the following formula:

[0092]

[0093] The average Nusselt number Nu and Darcy friction factor f reflect the heat transfer efficiency and fluid resistance characteristics of the threaded tube, respectively. The geometric improvement factor and comprehensive performance factor quantify the comprehensive impact of the tube parameter structure on heat transfer intensity, flow resistance suppression, mechanical properties, thermal stability, and other aspects through the average Nusselt number and Darcy friction factor, avoiding performance imbalance caused by single indicator evaluation and optimization, and ensuring the reliability of tube parameter optimization. The comprehensive performance factor comprehensively considers the influencing factors of mechanical properties such as heat conduction and fluid fluctuations under the tube parameters, process performance, etc., balances the heat transfer performance and flow resistance performance, and thus quantitatively evaluates the performance in 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 areas and local high-temperature points in the thread groove can be quickly identified, for example, vortices caused by a sudden drop in flow velocity at the tooth root can be found; the average Nusselt number Nu is used to describe the ratio between the intensity of convective heat transfer and pure heat conduction. The Nusselt number can be obtained based on parameters such as the local convective heat transfer coefficient, characteristic length, such as length, pipe diameter, etc., and thermal conductivity of the fluid in the three-dimensional model of the threaded pipe. The integral average value of the Nusselt number on the entire heat transfer surface is the average Nusselt number Nu; and the Darcy friction factor f quantifies the fluid flow resistance and can be calculated from parameters such as the static pressure difference between the flow field pressure inlet and outlet sections, flow velocity pipe diameter, etc. In addition, when a local recirculation area is detected, a turbulence correction coefficient can also be applied to the Darcy friction factor f, which is not specifically limited here.

[0095] Based on the above embodiment, the initial pipe shape 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 pipe shape parameter set, including the following steps:

[0096] Determine the influence of different parameters in the pipe parameter group on the geometric improvement factor and rank them in descending order of sensitivity. Specifically, use data analysis methods such as variance analysis to quantify the sensitivity of each parameter to the geometric improvement factor. For example, if thread height causes a ±0.15 fluctuation in the geometric improvement factor, while a change in pitch only causes a ±0.03 fluctuation, then thread height should be ranked first and pitch last, thereby focusing on adjusting the high-impact parameters and avoiding disturbances caused by low-impact parameters.

[0097] According to the sensitivity ranking, the adjustment ranges of different parameters in the pipe parameter group are determined in sequence to meet the fluctuation range requirements of the comprehensive performance factor. Specifically, the allowable adjustment range of each parameter can be reversely deduced 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 be affected by related parameters and fall below the safety threshold. Therefore, according to the sensitivity ranking, the adjustment range of each parameter can be determined to meet the requirements of the geometric improvement factor and the comprehensive performance factor.

[0098] The adjustment range of each parameter is summarized to form a test tube parameter group; the test tube parameter group provides the adjustment range of each parameter for selection, ensuring the comprehensiveness of the data of the series of tube parameter groups formed subsequently; specifically, the test tube parameter group is obtained by the two-dimensional synergistic effect of the geometric improvement factor and the comprehensive performance factor. Based on the quantitative enhancement ability of the geometric improvement factor on the structural parameters and the dynamic balance mechanism of the comprehensive performance factor on the heat transfer-flow resistance contradiction, the test parameter group achieves a simultaneous breakthrough in the geometric structure enhancement and comprehensive function improvement of thin-diameter and thin-walled threaded pipes while ensuring the feasibility of the process, overcoming the problem of performance imbalance; and the dual-factor correction method ensures full coverage of the adjusted test tube parameter group range, eliminating the local optimal solution defects caused by the omission of the parameter group range value, and ensuring the globality and completeness of the optimal solution.

[0099] Based on the above embodiment, according to the experimental pipe parameter set, a simulation test is carried out under the conditions of full permutation and combination of multiple small-diameter thin-walled threaded pipe parameters. The series of pipe parameter sets under the conditions of full permutation and combination are obtained, which includes the following steps:

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

[0101] Perform full permutation and combination of each adjustment value of different parameters to form several adjustment tube parameter groups; by traversing the adjustment value of each parameter, a complete adjustment tube parameter group is generated, thereby covering all potential optimal solutions and improving the comprehensiveness and integrity of data optimization;

[0102] Several adjusted pipe parameter groups are applied to the threaded pipe 3D model for finite element analysis to obtain the corresponding geometric improvement factors and comprehensive performance factors. Specifically, a scripting tool can be used to sequentially map the obtained adjusted pipe parameter groups to the threaded pipe 3D model and regenerate the mesh for automated finite element analysis, improving the accuracy and convenience of data processing. Furthermore, unified processing can be performed to ensure that the geometric improvement factors and comprehensive performance factors of all adjusted pipe parameter groups are obtained in the same standard, further eliminating bias and facilitating subsequent compilation and compilation to form a pipe parameter comparison performance database.

[0103] Each adjusted tube parameter group and its corresponding geometric improvement factor and comprehensive performance factor are summarized and sorted to obtain a series of tube parameter groups under several full permutation and combination conditions; so that each data structure is consistent, which is convenient for sorting, querying and maintenance.

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

[0105] Duplicate data in the series of tube type parameter groups is removed, and the remaining series of tube type parameter groups are sorted and numbered. Specifically, redundant data caused by repeated simulation task submission or parameter fine-tuning can be eliminated through methods such as similarity threshold determination. For example, if the difference between any two data in the series of tube type parameter groups is less than 0.5%, they are considered duplicates and need to be removed. This optimizes storage resources, avoids multiple results occupying database space, and thus improves subsequent retrieval and response time.

[0106] Improvement factor R according to geometry x The process performance and material properties of the remaining series of pipe parameter groups are evaluated by the geometric improvement factor and the comprehensive performance factor η, and they are arranged in descending order according to the degree of excellence to form a pipe parameter comparison performance database; specifically, the geometric improvement factor and the comprehensive performance factor can reflect the excellence of the threaded pipe structure and performance. According to the needs of the actual application scenarios, the use requirements of the pipe in different application scenarios can be reasonably considered, thereby forming a targeted excellence ranking to meet differentiated usage needs.

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

[0108] Taking the preparation requirements of thin-diameter, thin-walled copper threaded pipes with an outer diameter of 3.8 mm and a wall thickness of 0.2 mm as an example, the initial pipe parameter group can be selected as tooth height e = 0.4 mm, inner diameter D = 3.4 mm, helix angle θ = 28°, and pitch P = 1.5 mm; a three-dimensional model of the threaded pipe is established, and unstructured meshing is performed using ANSYS Fluent with a minimum unit size of 0.02 mm. The fluid is set to water, the inlet flow velocity is 2 m / s, and the temperature is 300 K. Turbulence simulation and heat transfer analysis are performed; the simulation results are extracted and analyzed, and the average Nusselt number Nu = 62.3, the Darcy friction factor f = 0.018, the empirical constants k = 1.1, m = 0.25, n = 0.35, and p = 0.08 are obtained, and the initial geometric improvement factor R is obtained. x =1.42, the initial comprehensive performance factor η=1.7; parameter adjustment and full permutation test were carried out, and the sensitivity ranking adopted tooth height e (sensitivity ±0.18) > helix angle θ (±0.12) > pitch P (±0.06), and the adjustment range was tooth height e∈[0.3, 0.5]mm, helix angle θ∈[25, 30]°, and pitch P∈[1.2, 1.8]mm; the division accuracy was 0.05mm step for tooth height e, 1° step for helix angle θ, and 0.1mm step for pitch P, generating a total of 216 sets of series tube parameter groups; after screening and integration, the optimal parameter group was determined to be tooth height e=0.45mm, helix angle θ=27°, and pitch P=1.4mm, and the corresponding geometric improvement factor R x =1.85, comprehensive performance factor η=2.3, and overall performance improved by 35.3%; at the same time, 158 valid series of tube parameter groups were retained after screening, sorted in descending order according to the comprehensive performance factor value, and numbered P001-P158 in sequence, and stored in the database in the form of fields: tube parameter group, geometric improvement factor R x , comprehensive performance factor η, simulation time.

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

[0110] An initial confirmation module is used to determine an initial pipe type parameter group of a thin-diameter, thin-walled threaded pipe according to usage requirement parameters;

[0111] The simulation test module is used to establish a three-dimensional model of a threaded pipe corresponding to a thin-diameter, thin-walled threaded pipe and conduct simulation tests;

[0112] A 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 tube shape parameter group of the thin-diameter, thin-walled threaded tube according to the values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain the test tube shape parameter group;

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

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

[0115] This system achieves standardization and intelligentization of the parameter optimization process through a modular architecture, covering a complete 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 economic efficiency of the pipe through geometric improvement factors and comprehensive performance factors, a comparative performance database of pipe parameters generated by full permutation simulation is formed, which can quickly match the optimization plan for 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] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the above-mentioned method for optimizing parameters of thin-diameter, thin-walled threaded pipes are implemented, including determining an initial tube shape parameter group of the thin-diameter, thin-walled threaded pipe according to usage requirement parameters, establishing a corresponding three-dimensional model of the threaded pipe, and conducting a simulation test; determining a geometric improvement factor and a comprehensive performance factor according to the simulation test results, and adjusting the initial tube shape parameter group 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 a test tube shape parameter group; based on the test tube shape parameter group, conducting simulation tests under full permutation and combination conditions considering multiple parameters of the thin-diameter, thin-walled threaded pipes to obtain a series of tube shape parameter groups under full permutation and combination conditions; screening and integrating the series of tube shape parameter groups to establish a tube shape parameter comparison performance database.

[0118] The present invention also provides a computer-readable storage medium, which can be sold or used as an independent product. The storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for optimizing parameters of thin-diameter and thin-walled threaded pipes, including determining an initial tube shape parameter group of the thin-diameter and thin-walled threaded pipe according to the usage requirement parameters, establishing a corresponding three-dimensional model of the threaded pipe, and conducting a simulation test; determining a geometric improvement factor and a comprehensive performance factor according to the simulation test results, and adjusting the initial tube shape parameter group of the thin-diameter and thin-walled threaded pipe according to the numerical values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test tube shape parameter group; based on the test tube shape parameter group, conducting simulation tests under full permutation and combination conditions considering multiple parameters of thin-diameter and thin-walled threaded pipes to obtain a series of tube shape parameter groups under full permutation and combination conditions; screening and integrating the series of tube shape parameter groups to establish a tube shape parameter comparison performance database.

[0119] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can adopt 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.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal translation scripting language JavaScript, etc.

[0120] The present application is described with reference to the flowcharts and / or block diagrams of the methods, systems, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0121] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1The function specified in one or more boxes.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0123] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0124] Those skilled in the art will appreciate that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing parameters of thin-walled threaded pipes, characterized in that: The following steps are involved: Determine the initial tube parameter set for thin-diameter, thin-walled threaded pipes based on the required parameters, and establish a corresponding 3D model of the threaded pipe for simulation testing. Determine the geometric improvement factor and comprehensive performance factor based on the simulation test results. The geometric improvement factor is used to quantify the influence of the pipe geometric parameters on the heat transfer and flow resistance performance. The comprehensive performance factor is used to balance the conflicting relationship between heat transfer enhancement and flow resistance increase. Adjusting the initial pipe shape parameter group 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 a test pipe shape parameter group; Based on the test pipe parameter set, simulation tests are carried out under full permutation and combination conditions considering multiple parameters of thin-diameter, thin-walled, threaded pipes, to obtain a series of pipe parameter sets under several full permutation and combination conditions; The series of cast parameter groups are screened and integrated to establish a cast parameter comparison performance database.

2. The method for optimizing parameters of thin-diameter, thin-walled threaded pipes according to claim 1, characterized in that: The method of determining an initial tube parameter group of a thin-diameter, thin-walled threaded pipe according to the required parameters, establishing a corresponding three-dimensional model of the threaded pipe, and conducting a simulation test includes the following steps: According to the required usage parameters, the design parameters of similar-sized thin-walled threaded pipes are selected as the initial pipe type parameter group, and a corresponding threaded pipe three-dimensional model is established; The three-dimensional model of the threaded pipe is divided into independent structured grids, and turbulence simulation, wall simulation and heat transfer simulation are performed; According to different simulation situations, corresponding boundary conditions are set and finite element analysis is performed to obtain corresponding simulation results.

3. The method for optimizing parameters of thin-walled threaded pipes according to claim 1, characterized in that: Determining the geometric improvement factor according to the simulation test results includes: Analyze the simulation results obtained under different simulation conditions to form a visual flow field diagram; Analyze the visualized flow field diagram, and determine the empirical constants k, m, n, and p corresponding to the three-dimensional model of the threaded pipe according to the analysis results; The geometric improvement factor R x Calculated by the following formula: Wherein, e represents the tooth height in the tube parameter group, D represents the inner diameter in the tube parameter group, θ represents the helix angle in the tube parameter group, and P represents the pitch in the tube parameter group.

4. The method for optimizing parameters of thin-diameter, thin-walled threaded pipes according to claim 3, characterized in that: The analyzing the visualized flow field diagram and determining the empirical constants corresponding to the three-dimensional model of the threaded pipe according to the analysis results include: Extracting velocity gradient distribution, temperature distribution and local velocity vector features from the visualized flow field map; A multivariate regression model is constructed based on the velocity gradient distribution and the temperature distribution to determine the association weights between the tube type parameter group and each empirical constant; The range convergence method is used to iteratively adjust the values of the empirical constants k, m, n, and p so that the empirical constant range results match the preset turbulence intensity error range and the preset heat transfer performance error range. The empirical constant k is associated with the maximum reflow velocity ratio of the tooth groove, the empirical constant m is associated with the temperature gradient between the teeth, the empirical constant n is associated with the pressure drop of the spiral flow channel, and the empirical constant p is associated with the secondary flow intensity. The empirical constant range is modified according to the material properties to confirm the empirical constant corresponding to the threaded pipe three-dimensional model.

5. The method for optimizing parameters of thin-walled threaded pipes according to claim 3, characterized in that: 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 Nu and the Darcy friction factor f. The average Nusselt number Nu is used to describe the ratio between the intensity of convective heat transfer and pure heat conduction, and is obtained by solving the integral average of the local Nusselt number of the radial cross section of the threaded pipe. The Darcy friction factor f is used to quantify the fluid flow resistance and is calculated based on the static pressure difference between the inlet and outlet sections of the pipe flow field, the flow velocity, and the pipe diameter. The comprehensive performance factor η is calculated by the following formula:

6. The method for optimizing parameters of thin-diameter, thin-walled threaded pipes according to claim 1, characterized in that: The step of adjusting the initial pipe shape parameter group 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 shape parameter group includes the following steps: Determine the influence of different parameters in the tube parameter group on the geometric improvement factor, and sort the sensitivity from large to small in order of influence on the geometric improvement factor; According to the sensitivity ranking, the adjustment range of different parameters in the tube parameter group is determined in turn to meet the fluctuation range requirements of the comprehensive performance factor; The adjustment range of each parameter is summarized to form the test tube type parameter group.

7. The method for optimizing parameters of thin-diameter, thin-walled threaded pipes according to claim 1, characterized in that: The method of carrying out simulation tests under full permutation and combination conditions considering multiple parameters of thin-diameter and thin-walled threaded pipes based on the test pipe parameter group to obtain a series of pipe parameter groups under full permutation and combination conditions includes the following steps: The adjustment range of each parameter in the test tube type parameter group is divided into equal steps according to the set division accuracy, so that each parameter corresponds to a plurality of adjustment values; Perform full permutation and combination of each adjustment value of different parameters to form several adjustment tube type parameter groups; Applying several of the adjusted pipe shape parameter groups to the threaded pipe three-dimensional model to perform finite element analysis respectively to obtain corresponding geometric improvement factors and comprehensive performance factors; Each of the adjusted tube parameter groups and their corresponding geometric improvement factors and comprehensive performance factors are summarized and sorted to obtain a series of tube parameter groups under several full permutation and combination conditions.

8. The method for optimizing parameters of thin-diameter, thin-walled threaded pipes according to claim 1, characterized in that: The screening and integration of the series of cast parameter groups to establish a cast parameter comparison performance database comprises the following steps: Eliminate duplicate data in the series of cast parameter groups, and sort and number the remaining series of cast parameter groups; According to the geometric improvement factor R x The process performance and material properties of the remaining series of pipe parameter groups are evaluated using the comprehensive performance factor η, and are arranged in descending order according to their excellence to form a pipe parameter comparison performance database.

9. The method for optimizing parameters of thin-diameter, thin-walled threaded pipes according to claim 1, characterized in that: The tube type 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 top angle, the helix angle, the tooth pitch, the number of teeth, the tooth top arc radius, and the tooth root arc radius.

10. A system for optimizing parameters of thin-walled threaded pipes with a small diameter, comprising the method for optimizing parameters of thin-walled threaded pipes with a small diameter, comprising: include: An initial confirmation module is used to determine an initial pipe type parameter group of a thin-diameter, thin-walled threaded pipe according to usage requirement parameters; The simulation test module is used to build a three-dimensional model of a threaded pipe corresponding to a thin-diameter, thin-walled threaded pipe and conduct simulation tests; a parameter adjustment module for determining a geometric improvement factor and a comprehensive performance factor based on the simulation test results, and adjusting an initial tube shape parameter set of a thin-diameter, thin-walled threaded tube based on the values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test tube shape parameter set; A full permutation test module is used to carry out simulation tests under full permutation and combination conditions considering multiple parameters of thin-diameter and thin-walled threaded pipes based on the test pipe parameter group, and obtain a series of pipe parameter groups under multiple full permutation and combination conditions; The screening and integration module is used to screen and integrate the series of cast parameter groups and establish a cast parameter comparison performance database.

Images