Optimization method, device and readable storage medium of wedge thread pipe joint

Abstract

The application provides an optimization method, device and readable storage medium of a wedge thread pipe joint. The method comprises the following steps: determining an output result of a finite element model of the wedge thread pipe joint according to the finite element model and acquired environmental load data; determining a pre-tightening force attenuation rate and an area ratio of a flared cone surface of the wedge thread pipe joint according to the output result; the area ratio is a ratio of an actual contact area of an actual contact area of the flared cone surface to a total area of the flared cone surface; determining a correlation model between a wedge angle, a cone angle of the flared cone surface, the pre-tightening force attenuation rate and the area ratio according to the pre-tightening force attenuation rate and the area ratio; and determining optimization parameters of the wedge thread pipe joint according to the correlation model, wherein the optimization parameters comprise a target wedge angle and a target cone angle of the flared cone surface. The scheme of the application can provide the optimal wedge angle and the optimal cone angle of the flared cone surface, and can realize excellent anti-loose and sealing performance of the pipe joint under a complex service environment.

Description

Technical Field

[0001] This application relates to the field of static sealing structure technology, and in particular to an optimized method, apparatus and readable storage medium for a wedge-shaped threaded pipe joint. Background Technology

[0002] During complex service operations, pipe fittings are easily subjected to loads such as vibration, impact, and alternating temperatures, leading to failure behaviors such as loosening and leakage, thus affecting the reliability of pipeline service. Flared wedge thread pipe fittings are a type of pipe fitting recently adopted in engineering projects. The thread wedge angle and the cone angle significantly affect the loosening and leakage behavior of the pipe fitting. Currently, there is no reliable optimization method for flared wedge thread pipe fitting structures designed for complex and harsh service environments that can provide the optimal wedge angle and cone angle. Summary of the Invention

[0003] The purpose of this application is to provide an optimized method, apparatus, and readable storage medium for wedge-threaded pipe fittings to solve the problems of loosening prevention and poor sealing performance of pipe fittings in complex service environments.

[0004] To achieve the above objectives, embodiments of this application provide an optimized method for a wedge-threaded pipe joint, applied to a sealing structure of a wedge-threaded pipe joint, comprising:

[0005] Based on the finite element model of the wedge-shaped threaded pipe joint and the obtained environmental load data, the output results of the finite element model are determined;

[0006] Based on the output results, determine the preload attenuation rate and the area ratio of the flared conical surface of the wedge-shaped threaded pipe joint; the area ratio is the ratio of the actual contact area of ​​the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface.

[0007] Based on the preload attenuation rate and the area ratio, a correlation model is determined between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio;

[0008] Based on the correlation model, the optimization parameters of the wedge-shaped threaded pipe joint are determined, including the target wedge angle and the target cone angle.

[0009] Optionally, the above method further includes:

[0010] Obtain three-dimensional data of the bolt and nut mating state corresponding to the wedge thread pipe joint;

[0011] Based on the preset three-dimensional model, the three-dimensional data is divided into a mesh to determine the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data;

[0012] Based on the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data, the finite element model of the wedge-shaped threaded pipe joint is constructed; the finite element model includes multiple regularly distributed hexahedral meshes; the hexahedral meshes are dense in the regions near the wedge-shaped internal thread, the bolt external thread, and the flared conical surface, and sparse in the regions far from the wedge-shaped internal thread, the bolt external thread, and the flared conical surface.

[0013] Optionally, based on the preload attenuation rate and the area ratio, a correlation model is determined between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio, including:

[0014] By changing at least one parameter of the wedge angle and the cone angle of the conical surface of the wedge threaded pipe joint, a set of relationship data between the preload attenuation rate and the area ratio is obtained based on the finite element model.

[0015] Repeat the step of changing at least one parameter of the wedge angle and the cone angle of the wedge threaded pipe fitting N times to obtain N sets of the relationship data; N is an integer greater than 1;

[0016] The N sets of relational data are defined as a dataset; the dataset is used to represent the corresponding relationship data between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio under different wedge angles and / or different cone angles;

[0017] Based on the corresponding relationship data in the dataset, determine the regression basis function of the approximate model;

[0018] The objective function is determined based on the regression basis function, the corresponding preload attenuation rate, and the area ratio.

[0019] The association model is determined based on the objective function.

[0020] Optionally, the objective function is determined based on the regression basis function, the corresponding preload decay rate, and the area ratio, including:

[0021] Determine the product of the regression basis function and the corresponding regression coefficient;

[0022] The objective function is defined as a functional relationship including the corresponding preload attenuation rate and the area ratio equal to the product and a random term, wherein the regression coefficient and the random term are unknowns, and the regression basis function and the corresponding preload attenuation rate and area ratio are knowns; the random term is a random process based on the mean of zero and the covariance of zero between the wedge angle and the cone angle.

[0023] Optionally, the above method further includes:

[0024] The accuracy of the correlation model is evaluated by increasing the sample data, and the evaluation results are obtained.

[0025] If, based on the evaluation results, it is determined that the accuracy of the association model does not meet the preset accuracy requirements, then the regression coefficients and the random terms are recalculated.

[0026] Optionally, the environmental load data includes at least one of periodic vibration load, random vibration load, impact load, and alternating temperature load.

[0027] Optionally, the optimized parameters of the wedge-shaped threaded pipe fitting are determined based on the correlation model, including:

[0028] Based on the correlation model, target parameters are determined to minimize the preload attenuation rate and maximize the area ratio;

[0029] The wedge angle and cone angle corresponding to the target parameters are determined as the optimization parameters.

[0030] Optionally, the above method further includes:

[0031] Determine the unit type and material properties of the wedge-shaped threaded pipe fitting;

[0032] Based on the unit type and the material properties, the constraints are determined, and a cylindrical coordinate system is constructed using the outer nut.

[0033] In the cylindrical coordinate system, displacement in the first direction is applied to all nodes on the outer surface of the outer nut to simulate the dynamic tightening process of the wedge-threaded pipe joint and determine the dynamic tightening data of the wedge-threaded pipe joint.

[0034] To achieve the above objectives, embodiments of this application also provide an optimized device for a wedge-threaded pipe joint, applied to the sealing structure of a wedge-threaded pipe joint, comprising:

[0035] The first determining module is used to determine the output result of the finite element model based on the finite element model of the wedge-shaped threaded pipe joint and the acquired environmental load data.

[0036] The second determining module is used to determine the preload attenuation rate of the wedge threaded pipe joint and the area ratio of the flared conical surface based on the output result; the area ratio is the ratio of the actual contact area of ​​the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface.

[0037] The third determining module is used to determine the correlation model between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio based on the preload attenuation rate and the area ratio.

[0038] The fourth determining module is used to determine the optimization parameters of the wedge-shaped threaded pipe joint based on the association model. The optimization parameters include the target wedge angle and the target cone angle.

[0039] To achieve the above objectives, embodiments of this application also provide a readable storage medium storing a program or instructions that, when executed by a processor, implement the steps in the optimization method for the wedge-threaded pipe fitting as described above.

[0040] The beneficial effects of the above technical solution in this application are as follows:

[0041] In the embodiments of this application, the measured environmental load data is determined based on the finite element model of the wedge-threaded pipe joint and the dynamic tightening data of the wedge-threaded pipe joint; based on the environmental load data, the ratio of the preload attenuation rate of the wedge-threaded pipe joint to the area ratio of the flared conical surface is determined; the area ratio is the ratio of the actual contact area of ​​the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface; based on the preload attenuation rate and the area ratio, the correlation model between the wedge angle, the conical surface angle, the preload attenuation rate, and the area ratio is determined; based on the correlation model, the optimized parameters of the wedge-threaded pipe joint are determined, including the target wedge angle and the target conical surface angle, which can provide the optimal wedge angle and conical surface angle, enabling the pipe joint to achieve excellent anti-loosening and sealing performance under complex service environments. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the sealing structure of the wedge-shaped threaded pipe joint provided in the embodiments of this application;

[0043] Figure 2 A flowchart illustrating the optimization method for the wedge-shaped threaded pipe joint provided in this application embodiment;

[0044] Figure 3 A schematic diagram of the structure of the optimized device for the wedge-shaped threaded pipe joint provided in the embodiments of this application. Detailed Implementation

[0045] To make the technical problems, technical solutions and advantages of this application clearer, a detailed description will be provided below in conjunction with the accompanying drawings and specific embodiments.

[0046] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0047] In the various embodiments of this application, it should be understood that the sequence number of each process described below does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0048] Reference Figure 1 As shown, this application embodiment provides a wedge-shaped threaded pipe joint sealing structure, including: a body 1, on which a first thread 12 is provided; an outer nut 13 that mates with the body 1, on which a second thread 14 matching the first thread 12 is provided on the inner wall; a wedge angle is formed between the first thread 12 and the second thread 14. The body 1 is also provided with a flared conical surface 15, at which a conical angle is formed.

[0049] The wedge-shaped threaded pipe joint sealing structure provided in this application applies the wedge-shaped thread to the internal thread of the outer nut 13, which improves the anti-loosening performance of the pipe joint sealing structure and can effectively prevent the pre-tightening force of the pipe joint sealing structure from loosening, thereby avoiding the decline of the pre-tightening force of the pipe joint sealing structure in actual production and use, and thus ensuring the sealing performance of the pipe joint sealing structure.

[0050] Reference Figure 2 As shown, this application provides an optimized method for a wedge-threaded pipe joint, applied to the sealing structure of a wedge-threaded pipe joint (see reference). Figure 1 (As shown), including:

[0051] Step 21: Determine the output results of the finite element model based on the finite element model of the wedge-shaped threaded pipe joint and the acquired environmental load data;

[0052] Step 22: Based on the output results, determine the ratio of the preload decay rate of the wedge thread pipe joint to the area of ​​the flared conical surface; the area ratio is the ratio of the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface.

[0053] Step 23: Determine the correlation model between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio based on the preload attenuation rate and the area ratio;

[0054] Step 24: Determine the optimization parameters of the wedge-shaped threaded pipe joint based on the correlation model. The optimization parameters include the target wedge angle and the target cone angle.

[0055] In this embodiment, a finite element model of a wedge-shaped threaded pipe joint can be pre-constructed. The dynamic tightening data of the wedge-shaped threaded pipe joint is dynamically simulated using this finite element model. For example, using finite element analysis (FEA) software (such as Ansys software), the corresponding simulation module is selected to apply external loads to the pipe joint to realize complex environmental load loading and determine the measured environmental load data. Based on the environmental load data, the above process is solved and calculated to determine the variation law of two important parameters under complex service environment. These two parameters are the attenuation rate of the preload of the wedge-shaped threaded pipe joint and the ratio of the actual contact area of ​​the conical surface to the total area (referred to as the area ratio), that is, to determine the attenuation rate of the preload of the wedge-shaped threaded pipe joint and the area ratio of the flared conical surface. By changing the size of the wedge angle and the flared conical surface (conical surface cone angle), the above process is repeated to finally obtain a set of datasets, that is, the preload attenuation rate and area ratio under different wedge angles and flared conical surface (conical surface cone angle) conditions. Based on the preload attenuation rate and the area ratio, a correlation model is determined between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio; based on the correlation model, the optimized parameters of the wedge-shaped threaded pipe joint are determined. The solution of this application can provide optimal wedge angle and cone angle, achieving excellent anti-loosening and sealing performance of the pipe joint under complex service environments.

[0056] Optionally, step 24 above includes:

[0057] Based on the correlation model, target parameters are determined to minimize the preload attenuation rate and maximize the area ratio;

[0058] The wedge angle and cone angle corresponding to the target parameters are determined as the optimization parameters.

[0059] In this embodiment, bolt preload and various extreme load conditions are applied to the associated model. Based on the associated model, the target parameters with the minimum preload attenuation rate and the maximum area ratio are determined, namely the target wedge angle and the target cone angle, which represent the optimization parameters with the minimum preload attenuation rate and the maximum area ratio, respectively. Here, a genetic algorithm can be used to perform multi-objective optimization on the wedge angle and the cone angle to obtain the optimized parameters.

[0060] Optionally, the environmental load data includes at least one of periodic vibration load, random vibration load, impact load, and alternating temperature load.

[0061] In this application, based on the measured environmental load data, the loads are divided into periodic vibration loads, random vibration loads, impact loads, and alternating temperature loads. The corresponding simulation modules are selected in finite element analysis software (such as Ansys software) to apply the external loads to the pipe joints, thereby realizing the loading of complex environmental loads.

[0062] Optionally, the above method further includes:

[0063] Obtain three-dimensional data of the bolt and nut mating state corresponding to the wedge thread pipe joint;

[0064] Based on the preset three-dimensional model, the three-dimensional data is divided into a mesh to determine the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data;

[0065] Based on the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data, the finite element model of the wedge-shaped threaded pipe joint is constructed; the finite element model includes multiple regularly distributed hexahedral meshes; the hexahedral meshes are dense in the regions near the wedge-shaped internal thread, the bolt external thread, and the flared conical surface, and sparse in the regions far from the wedge-shaped internal thread, the bolt external thread, and the flared conical surface.

[0066] In this embodiment, three-dimensional data of the bolt and nut mating state corresponding to the wedge-threaded pipe fitting is obtained. This three-dimensional data includes the actual shape and geometric dimensions of the pipe fitting, such as the pipe fitting using… Figure 1 The structure shown has a conical sealing surface and a wedge-shaped thread. Here, a 3D geometric model of the wedge-shaped threaded pipe fitting can be created using 3D drawing software (such as CAD software). This 3D geometric model considers the precise geometry of the wedge-shaped internal thread and the ordinary external thread, as well as the actual rough surface microstructure of the flared conical surface. The microstructure of the rough surface can be accurately measured using a 3D optical surface profilometer. This 3D geometric model can be the aforementioned preset 3D model. Based on the preset 3D model, the 3D data is meshed to determine the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data. For example, Hypermesh software can be used to accurately mesh the 3D geometric model of the wedge-shaped threaded pipe fitting. The wedge-shaped internal thread and the ordinary external thread all use hexahedral meshes, resulting in a dense mesh. The mesh on the flared conical surface is also relatively dense, while the mesh is sparse in areas far from the thread teeth and the flared conical surface. The transition between dense and sparse mesh areas is reasonable.

[0067] It should be noted that the finite element model mentioned above is the model after mesh generation.

[0068] Optionally, step 23 above includes:

[0069] By changing at least one parameter of the wedge angle and the cone angle of the conical surface of the wedge threaded pipe joint, a set of relationship data between the preload attenuation rate and the area ratio is obtained based on the finite element model.

[0070] Repeat the step of changing at least one parameter of the wedge angle and the cone angle of the wedge threaded pipe fitting N times to obtain N sets of the relationship data; N is an integer greater than 1;

[0071] The N sets of relational data are defined as a dataset; the dataset is used to represent the corresponding relationship data between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio under different wedge angles and / or different cone angles;

[0072] Based on the corresponding relationship data in the dataset, determine the regression basis function of the approximate model;

[0073] The objective function is determined based on the regression basis function, the corresponding preload attenuation rate, and the area ratio.

[0074] The association model is determined based on the objective function.

[0075] In this embodiment, the process of obtaining the preload attenuation rate and area ratio of the wedge-shaped threaded pipe joint is repeated by changing the size of the wedge angle and the cone angle. That is, by changing the size of the wedge angle and the cone angle and repeating the above process, a dataset is finally obtained. Specifically, different attenuation rates and area ratios are obtained based on different load conditions, ultimately resulting in a dataset. This dataset is determined by examining the preload attenuation rate and area ratio under different wedge angle and cone angle conditions. Based on this dataset, the regression basis function of the approximate model is determined. This regression basis function can be obtained through f... T (X,Y) represents the wedge angle and Y represents the cone angle. Based on the regression basis function, the corresponding preload decay rate, and the area ratio, the objective function is determined. Here, the objective function can be determined using a pre-defined Kriging surrogate model. This objective function can be used to correlate the nonlinear relationship between the wedge angle, cone angle, preload decay rate, and area ratio. Subsequently, a correlation model can be trained and generated using this objective function. Here, the Kriging surrogate model is an interpolation model, and its interpolation result is a linear weighted sum of known sample response values.

[0076] Further, based on the regression basis function, the corresponding preload decay rate, and the area ratio, the objective function is determined, including:

[0077] Determine the product of the regression basis function and the corresponding regression coefficient;

[0078] The objective function is defined as a functional relationship including the corresponding preload attenuation rate and the area ratio equal to the product and a random term, wherein the regression coefficient and the random term are unknowns, and the regression basis function and the corresponding preload attenuation rate and area ratio are knowns; the random term is a random process based on the mean of zero and the covariance of zero between the wedge angle and the cone angle.

[0079] In this embodiment, the product of the regression basis function and the corresponding regression coefficient is determined. The regression coefficient is represented by β, where β = (β1, ..., βp) is the regression coefficient. The regression coefficient β is an unknown quantity, while the regression basis function is a known quantity. The objective function can be expressed by the following formula:

[0080] Z j =f T (X,Y)β+z(X,Y),j=1,2

[0081] Where X represents the wedge angle; Y represents the cone angle; Z represents the cone angle. j This represents the preload decay rate and area ratio; j represents the index, f T (X,Y) are the regression basis functions of the approximate model; β=(β1,…,βp) are the regression coefficients; the random term z(X,Y) is a function with zero mean and σ variance. 2 For a stochastic process with non-zero covariance, the variance of the random term z(X,Y) is estimated using the maximum likelihood algorithm. This application can use the least squares method to determine the regression coefficient β.

[0082] Optionally, the above method further includes:

[0083] The accuracy of the correlation model is evaluated by increasing the sample data, and the evaluation results are obtained.

[0084] If, based on the evaluation results, it is determined that the accuracy of the association model does not meet the preset accuracy requirements, then the regression coefficients and the random terms are recalculated.

[0085] In this embodiment, the accuracy of the correlation model is evaluated and analyzed by increasing sample data. The accuracy of the correlation model is evaluated to obtain an evaluation result. If the evaluation result determines that the accuracy of the correlation model does not meet the preset accuracy requirement, the regression coefficients and the random terms are recalculated. That is, if the accuracy requirement is not met, the regression coefficients and random terms are re-evaluated and calculated until a high-precision correlation model is obtained between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio. With the minimum preload attenuation rate and the maximum area ratio as optimization objectives, a genetic algorithm is used to perform multi-objective optimization on the wedge angle and the cone angle to obtain optimized parameters.

[0086] Optionally, the above method further includes:

[0087] Determine the unit type and material properties of the wedge-shaped threaded pipe fitting;

[0088] Based on the unit type and the material properties, the constraints are determined, and a cylindrical coordinate system is constructed using the outer nut.

[0089] In the cylindrical coordinate system, displacement in the first direction is applied to all nodes on the outer surface of the outer nut to simulate the dynamic tightening process of the wedge-threaded pipe joint and determine the dynamic tightening data of the wedge-threaded pipe joint.

[0090] In this embodiment, the unit type and material properties of the wedge-threaded pipe joint are determined. Here, the unit type and material properties of the wedge-threaded pipe joint can be defined, and different unit types and material properties have different set constraints. Constraints are determined based on the unit type and the material properties. These constraints are the conditions for actually fixing the bolts, such as the fixing relationship after tightening. A cylindrical coordinate system is constructed using the outer nut, specifically with the center line of the outer nut as the Z-coordinate. A local cylindrical coordinate system is established in Ansys software, and displacement along the first direction (Y direction) is applied to all nodes on the outer surface of the outer nut. Here, the Y direction can also be understood as the circumferential direction of the outer surface of the cylinder. In this application, displacement in the first direction is applied to all nodes on the outer surface of the outer nut in the cylindrical coordinate system to simulate the dynamic tightening process of the wedge-threaded pipe joint, thereby determining the dynamic tightening data of the wedge-threaded pipe joint.

[0091] In summary, since the wedge angle of the wedge thread and the cone angle of the flared conical surface significantly affect the anti-loosening and sealing performance of the pipe joint during service, the scheme proposed in this application combines finite element simulation, Kriging surrogate model and genetic optimization algorithm to optimize the structure of the flared wedge thread pipe joint, and provides the optimal wedge angle and cone angle, which can achieve excellent anti-loosening and sealing performance of the pipe joint under complex service environment.

[0092] Reference Figure 3 As shown, this application provides an optimized device for a wedge-threaded pipe joint, applied to the sealing structure of a wedge-threaded pipe joint, comprising:

[0093] The first determining module 31 is used to determine the output result of the finite element model based on the finite element model of the wedge-shaped threaded pipe joint and the acquired environmental load data.

[0094] The second determining module 32 is used to determine the preload attenuation rate of the wedge threaded pipe joint and the area ratio of the flared conical surface based on the output result; the area ratio is the ratio of the actual contact area area of ​​the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface.

[0095] The third determining module 33 is used to determine the correlation model between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio based on the preload attenuation rate and the area ratio.

[0096] The fourth determining module 34 is used to determine the optimization parameters of the wedge-shaped threaded pipe joint based on the association model. The optimization parameters include the target wedge angle and the target cone angle.

[0097] Optionally, the above-mentioned optimization device for wedge-shaped threaded pipe fittings further includes:

[0098] The first acquisition module is used to acquire three-dimensional data of the bolt and nut mating state corresponding to the wedge thread pipe joint;

[0099] The fifth determining module is used to divide the three-dimensional data into a mesh according to the preset three-dimensional model, and determine the wedge internal thread data, bolt external thread data and flared conical surface data;

[0100] The first processing module is used to construct the finite element model of the wedge-shaped threaded pipe joint based on the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data; the finite element model includes multiple regularly distributed hexahedral meshes; the hexahedral meshes are dense in the regions near the wedge-shaped internal thread, the bolt external thread, and the flared conical surface, and sparse in the regions far from the wedge-shaped internal thread, the bolt external thread, and the flared conical surface.

[0101] Optionally, the third determining module 33 described above includes:

[0102] The first processing unit is used to change at least one parameter of the wedge angle and the cone angle of the wedge threaded pipe joint, and to obtain a set of relationship data between the preload attenuation rate and the area ratio based on the finite element model.

[0103] The second processing unit is used to repeatedly execute the step of changing at least one parameter of the wedge angle and the cone angle of the wedge threaded pipe joint N times, and obtain N sets of the relationship data; N is an integer greater than 1;

[0104] The third processing unit is used to determine the N sets of relational data into a dataset; the dataset is used to represent the corresponding relationship data between the wedge angle, the cone angle, the preload attenuation rate and the area ratio under different wedge angles and / or different cone angles;

[0105] The first determining unit is used to determine the regression basis function of the approximate model based on the corresponding relationship data in the dataset;

[0106] The second determining unit is used to determine the target function based on the regression basis function, the corresponding preload attenuation rate, and the area ratio.

[0107] The third determining unit is used to determine the association model based on the objective function.

[0108] Optionally, the second determining unit described above includes:

[0109] The first determining subunit is used to determine the product of the regression basis function and the corresponding regression coefficient;

[0110] The second determining subunit is used to determine that the objective function is a functional relationship including the corresponding preload attenuation rate and the area ratio equal to the product and a random term, wherein the regression coefficient and the random term are unknowns, and the regression basis function and the corresponding preload attenuation rate and area ratio are knowns; the random term is a random process based on the mean of zero and the covariance of non-zero between the wedge angle and the cone angle.

[0111] Optionally, the above-mentioned optimization device for wedge-shaped threaded pipe fittings further includes:

[0112] The second acquisition module is used to evaluate the accuracy of the association model by adding sample data and obtain the evaluation result;

[0113] The second processing module is used to recalculate the regression coefficients and the random terms if, based on the evaluation results, the accuracy of the association model does not meet the preset accuracy requirements.

[0114] Optionally, the environmental load data includes at least one of periodic vibration load, random vibration load, impact load, and alternating temperature load.

[0115] Optionally, the fourth determining module 34 described above includes:

[0116] The fourth determining unit is used to determine the target parameters of minimizing the preload attenuation rate and maximizing the area ratio based on the correlation model.

[0117] The fifth determining unit is used to determine the wedge angle and cone angle corresponding to the target parameters as the optimized parameters.

[0118] Optionally, the above-mentioned optimization device for wedge-shaped threaded pipe fittings further includes:

[0119] The sixth determining module is used to determine the unit type and material properties of the wedge-shaped threaded pipe joint;

[0120] The third processing module is used to determine the constraint conditions based on the unit type and the material properties, and to construct a cylindrical coordinate system using the outer nut;

[0121] The fourth processing module is used to apply displacement in a first direction to all nodes on the outer surface of the outer nut in the cylindrical coordinate system to simulate the dynamic tightening process of the wedge thread pipe joint and determine the dynamic tightening data of the wedge thread pipe joint.

[0122] The implementation embodiments of the above-mentioned optimization method for wedge-shaped threaded pipe joints are all applicable to the embodiments of the optimization device for the wedge-shaped threaded pipe joints, and can achieve the same technical effect.

[0123] This application provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the steps in the optimization method for wedge-shaped threaded pipe joints as described above and achieve the same technical effect. To avoid repetition, further details are omitted here.

[0124] The processor mentioned above is the processor in the optimization method for the wedge-shaped threaded pipe joint described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0125] The exemplary embodiments described above are with reference to the accompanying drawings. Many different forms and embodiments are feasible without departing from the spirit and teachings of this application. Therefore, this application should not be construed as limiting the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided to make this application complete and convey the scope of this application to those skilled in the art. In these drawings, component dimensions and relative dimensions may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. As used herein, unless clearly indicated otherwise, the singular forms “a,” “an,” and “the” are intended to include all such forms. It will be further understood that the terms “comprising” and / or “including”, when used in this specification, indicate the presence of the stated features, integers, steps, operations, components, and / or elements, but do not exclude the presence or addition of one or more other features, integers, steps, operations, components, and / or groups thereof. Unless otherwise indicated, when stated, a range of values ​​includes the upper and lower limits of the range and any subranges in between.

[0126] The above description is the preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principles described in this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. An optimized method for a wedge-shaped threaded pipe joint, characterized in that, Applications include: sealing structures for wedge-threaded pipe fittings Based on the finite element model of the wedge-shaped threaded pipe joint and the obtained environmental load data, the output results of the finite element model are determined; Based on the output results, determine the preload attenuation rate of the wedge threaded pipe joint and the area ratio of the flared conical surface; the area ratio is the ratio of the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface. Based on the preload decay rate and the area ratio, a correlation model is determined between the wedge angle, the cone angle, the preload decay rate, and the area ratio. This includes: changing at least one parameter of the wedge angle and the cone angle of the wedge-shaped threaded pipe joint; obtaining a set of relationship data between the preload decay rate and the area ratio based on the finite element model; repeating the step of changing at least one parameter of the wedge angle and the cone angle of the wedge-shaped threaded pipe joint N times to obtain N sets of relationship data; N is an integer greater than 1; defining the N sets of relationship data as a dataset; the dataset represents the corresponding relationship data between the wedge angle, the cone angle, the preload decay rate, and the area ratio under different wedge angles and / or different cone angles; determining a regression basis function based on the corresponding relationship data in the dataset; the regression basis function is obtained through f... T (X,Y) represents the wedge angle and Y represents the cone angle; the product of the regression basis function and the corresponding regression coefficient is determined, and the regression coefficient is represented by β, β=(β1,…, βp); The objective function is determined based on the regression basis function, the corresponding preload decay rate, and the area ratio; the objective function is expressed by the formula: Where X represents the wedge angle; Y represents the cone angle; Z represents the cone angle. j This represents the preload decay rate and area ratio; j represents the index, f T (X,Y) is the regression basis function; β=(β1,…, βp) are the regression coefficients; the random term z(X,Y) is a function with zero mean and σ variance. 2 For a random process with non-zero covariance, the variance estimate of the random term z(X,Y) is obtained by the maximum likelihood algorithm. The association model is determined based on the objective function; Based on the correlation model, the optimization parameters of the wedge-shaped threaded pipe joint are determined, including the target wedge angle and the target cone angle. The method further includes: Expand the sample data, use the expanded sample to evaluate the accuracy of the association model, and obtain the evaluation result; if it is determined from the evaluation result that the accuracy of the association model does not meet the preset accuracy requirement, then resolve the regression coefficients and update the random term correlation parameters.

2. The method according to claim 1, characterized in that, The method further includes: Obtain three-dimensional data of the bolt and nut mating state corresponding to the wedge thread pipe joint; Based on the preset three-dimensional model, the three-dimensional data is divided into a mesh to determine the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data; Based on the wedge-shaped internal thread data, the bolt external thread data, and the flared conical surface data, a finite element model of the wedge-shaped threaded pipe joint is constructed. The finite element model includes multiple regularly distributed hexahedral meshes. The hexahedral meshes are dense in the regions near the wedge-shaped internal thread, the bolt external thread, and the flared conical surface, and sparse in the regions far from the wedge-shaped internal thread, the bolt external thread, and the flared conical surface.

3. The method according to claim 1, characterized in that, The environmental load data includes at least one of periodic vibration load, random vibration load, impact load, and alternating temperature load.

4. The method according to claim 1, characterized in that, Based on the correlation model, the optimized parameters of the wedge-shaped threaded pipe fitting are determined, including: Based on the correlation model, target parameters are determined to minimize the preload attenuation rate and maximize the area ratio; The wedge angle and cone angle corresponding to the target parameters are determined as the optimization parameters.

5. The method according to claim 1, characterized in that, The method further includes: Determine the unit type and material properties of the wedge-shaped threaded pipe fitting; Based on the unit type and the material properties, the constraints are determined, and a cylindrical coordinate system is constructed using the outer nut. In the cylindrical coordinate system, displacement in a first direction is applied to all nodes on the outer surface of the outer sleeve nut to simulate the dynamic tightening process of the wedge thread pipe joint and determine the dynamic tightening data of the wedge thread pipe joint; the first direction is the circumferential direction of the outer surface of the cylinder.

6. An optimized device for a wedge-shaped threaded pipe joint, characterized in that, An apparatus for use in the sealing structure of a wedge-threaded pipe fitting, performing the steps of the optimized method for implementing a wedge-threaded pipe fitting as described in any one of claims 1 to 5, the apparatus comprising: The first determining module is used to determine the output result of the finite element model based on the finite element model of the wedge-shaped threaded pipe joint and the acquired environmental load data. The second determining module is used to determine the preload attenuation rate and the area ratio of the flared conical surface of the wedge-shaped threaded pipe joint based on the output result; the area ratio is the ratio of the actual contact area of ​​the actual contact area of ​​the flared conical surface to the total area of ​​the flared conical surface. The third determining module is used to determine the correlation model between the wedge angle, the cone angle, the preload attenuation rate, and the area ratio based on the preload attenuation rate and the area ratio. The fourth determining module is used to determine the optimization parameters of the wedge-shaped threaded pipe joint based on the association model. The optimization parameters include the target wedge angle and the target cone angle.

7. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or instructions are executed by the processor, they implement the steps in the optimization method for the wedge-threaded pipe fitting as described in any one of claims 1 to 5.

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