Thread structure parameter optimization method based on analogue simulation technology

Abstract

The invention provides a thread structure parameter optimization method based on an analogue simulation technology. The method comprises the following steps: establishing a three-dimensional model of a target special thread by utilizing analogue simulation software; static and dynamic mechanical property analysis is carried out on the three-dimensional model of the target special thread, and the bearing capacity and the fatigue life of the target special thread are evaluated; analyzing the sealing performance of the three-dimensional model of the target special thread, and evaluating the sealing effect of the three-dimensional model; optimizing the structural parameters of the target special thread according to the analysis result; and repeating the steps until an optimal design scheme is achieved. Through an analogue simulation technology, the performance indexes of the special threads under different working conditions can be obtained, the results are analyzed and optimized, engineers can be helped to find weak links and optimization directions of products, and the performance and reliability of the products are further improved.

Description

Technical Field

[0001] The invention relates to the technical field of threads, and in particular to a thread structure parameter optimization method based on simulation technology. Background Art

[0002] With the continuous development of industrial technology, special threads have been widely used in many fields, such as aerospace, petrochemical, medical equipment, etc. Special threads have excellent mechanical properties and sealing properties, and can meet the use requirements in various complex environments.

[0003] Currently, the design of thread structures mostly relies on empirical rules and manual calculations, which cannot fully consider the actual performance under various working conditions. This approach often cannot provide the best solution when faced with complex thread geometries, mechanical properties of different materials and environmental factors. Summary of the invention

[0004] In order to solve the above problems, the purpose of the present invention is to provide a method for optimizing thread structure parameters based on simulation technology.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A thread structure parameter optimization method based on simulation technology, comprising:

[0007] Step 1: Use simulation software to create a three-dimensional model of the thread;

[0008] Step 2: Analyze the three-dimensional model of the thread to evaluate its load-bearing capacity and fatigue life;

[0009] Step 3: Perform sealing performance analysis on the three-dimensional model of the thread to evaluate its sealing effect;

[0010] Step 4: Optimize the structural parameters of the target thread according to the analysis results;

[0011] Step 5: Repeat steps 2-4 until the optimal design is reached.

[0012] Preferably, the step 2: analyzing the three-dimensional model of the thread to evaluate its load-bearing capacity and fatigue life includes:

[0013] Annotate the 3D model of each thread to characterize the load-bearing capacity and fatigue life of the corresponding thread;

[0014] The finite element analysis method is used to perform static and dynamic mechanical performance analysis on the three-dimensional model of the thread to obtain multiple mechanical performance indicators;

[0015] Calculate the correlation between each mechanical property index and the load-bearing capacity and fatigue life of the thread;

[0016] Screen out mechanical performance indicators with correlation within a preset range to obtain training samples;

[0017] The training samples are input into the deep learning model for training to obtain the load-bearing capacity and fatigue life assessment model;

[0018] The load-bearing capacity and fatigue life evaluation model is used to analyze the target thread to obtain the load-bearing capacity and fatigue life of the corresponding thread.

[0019] Preferably, the formula is used:

[0020]

[0021] Calculate the correlation between each mechanical performance index and the load-bearing capacity and fatigue life of the thread; where r represents the correlation between the mechanical performance index and the load-bearing capacity and fatigue life of the thread, and X i represents the mechanical performance index of the i-th thread, Represents the mean value of mechanical performance index, Y i represents the load-bearing capacity and fatigue life of the i-th thread, It represents the mean value of the load-bearing capacity and fatigue life of the thread.

[0022] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0023] The present invention provides a method for optimizing thread structure parameters based on simulation technology. Compared with the prior art, the present invention can obtain the performance indicators of the target thread under different working conditions through simulation technology, and analyze and optimize these results, which can help engineers find the weak links and optimization directions of the product, and further improve the performance and reliability of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0025] Figure 1 A flow chart of a thread structure parameter optimization method based on simulation technology provided by the present invention;

[0026] Figure 2 This is the thread stress cloud diagram provided by the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0029] To achieve the above object, the technical solution adopted by the present invention is:

[0030] See also Figure 1 , a thread structure parameter optimization method based on simulation technology, comprising:

[0031] Step 1: Use simulation software to create a three-dimensional model of the thread;

[0032] Step 2: Analyze the three-dimensional model of the thread to evaluate its load-bearing capacity and fatigue life;

[0033] like Figure 2 The present invention takes the special thread design of 177.8*10.36 as an example, and performs modeling and calculation according to the designed joint size and thread type. First, simulate the make-up, and set the axial thread interference to 4.5mm. The stress cloud diagram after the joint is made is as follows Figure 2 After the thread is made up, the stress at both ends is higher and the stress in the middle is lower, so the thread has better load-bearing capacity and fatigue life. In practical applications, the present invention needs to combine the suggestions of multiple experts to complete the evaluation of the three-dimensional model of the thread.

[0034] Step 3: Perform sealing performance analysis on the three-dimensional model of the thread to evaluate its sealing effect;

[0035] Step 4: Optimize the structural parameters of the target thread according to the analysis results;

[0036] Step 5: Repeat steps 2-4 until the optimal design is reached.

[0037] Furthermore, the step 2 comprises:

[0038] Annotate the 3D model of each thread to characterize the load-bearing capacity and fatigue life of the corresponding thread;

[0039] The finite element analysis method is used to perform static and dynamic mechanical performance analysis on the three-dimensional model of the thread to obtain multiple mechanical performance indicators;

[0040] Calculate the correlation between each mechanical property index and the load-bearing capacity and fatigue life of the thread;

[0041] In the present invention, the following can be used:

[0042]

[0043] Calculate the correlation between each mechanical performance index and the load-bearing capacity and fatigue life of the thread; where r represents the correlation between the mechanical performance index and the load-bearing capacity and fatigue life of the thread, and X i represents the mechanical performance index of the i-th thread, Represents the mean value of mechanical performance index, Y i represents the load-bearing capacity and fatigue life of the i-th thread, It represents the mean value of the load-bearing capacity and fatigue life of the thread.

[0044] Screen out mechanical performance indicators with correlation within a preset range to obtain training samples;

[0045] The training samples are input into the deep learning model for training to obtain the load-bearing capacity and fatigue life assessment model;

[0046] The load-bearing capacity and fatigue life evaluation model is used to analyze the target thread to obtain the load-bearing capacity and fatigue life of the corresponding thread.

[0047] Through the above steps, designers can successfully design a special thread with excellent mechanical properties and sealing performance to meet the use requirements of complex oil field well conditions. That is, simulation technology can help designers understand the performance indicators of threads such as stress distribution, fatigue life, torque transmission, etc. under different working conditions, thereby optimizing design parameters and improving product performance and reliability.

[0048] The design and simulation of special threads include: parametric design and finite element analysis. The parametric design of special threads is to optimize the performance of the product by changing the parameters of the threads (such as thread angle, pitch, thread height, etc.) according to actual needs. Using simulation technology, the present invention can quickly evaluate the performance indicators under different parameter combinations to find the optimal design solution; finite element analysis is a commonly used simulation method that can simplify complex problems into a finite number of simple problems through discretization. In the design of special threads, finite element analysis can help the present invention understand the stress distribution and strain of the threads under different working conditions, thereby optimizing the structural design and improving the load-bearing capacity and stability of the product.

[0049] Simulation result analysis and optimization process: Through simulation technology, the present invention can obtain the performance indicators of special threads under different working conditions, such as stress distribution, fatigue life, torque transmission, etc. Analyzing and optimizing these results can help the present invention find the weak links and optimization directions of the product, and further improve the performance and reliability of the product. For example, the present invention can improve the stress distribution by adjusting the thread parameters, or improve the durability of the product by optimizing the material properties. The advantage of this inventive method is that the research and development of special threads based on simulation is an effective way to improve product performance and reliability. Through parametric design, finite element analysis and simulation result analysis, the present invention can quickly find the optimal design solution and further optimize the structure and performance of the product. With the continuous development of simulation technology, its application in the research and development of special threads will be more extensive and in-depth, providing important support and promotion for the development of the engineering field.

[0050] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A thread structure parameter optimization method based on simulation technology, characterized in that: include: Step 1: Use simulation software to create a three-dimensional model of the thread; Step 2: Analyze the three-dimensional model of the thread to evaluate its load-bearing capacity and fatigue life; Step 3: Perform sealing performance analysis on the three-dimensional model of the thread to evaluate its sealing effect; Step 4: Optimize the structural parameters of the target thread according to the analysis results; Step 5: Repeat steps 2-4 until the optimal design is reached.

2. A thread structure parameter optimization method based on simulation technology as claimed in claim 1, characterized in that: The step 2: analyzing the three-dimensional model of the thread to evaluate its load-bearing capacity and fatigue life, including: Annotate the 3D model of each thread to characterize the load-bearing capacity and fatigue life of the corresponding thread; The finite element analysis method is used to perform static and dynamic mechanical performance analysis on the three-dimensional model of the thread to obtain multiple mechanical performance indicators; Calculate the correlation between each mechanical property index and the load-bearing capacity and fatigue life of the thread; Screen out mechanical performance indicators with correlation within a preset range to obtain training samples; The training samples are input into the deep learning model for training to obtain the load-bearing capacity and fatigue life assessment model; The load-bearing capacity and fatigue life evaluation model is used to analyze the target thread to obtain the load-bearing capacity and fatigue life of the corresponding thread.

3. A thread structure parameter optimization method based on simulation technology as claimed in claim 2, characterized in that: Using the formula: Calculate the correlation between each mechanical performance index and the load-bearing capacity and fatigue life of the thread; where r represents the correlation between the mechanical performance index and the load-bearing capacity and fatigue life of the thread, and X i represents the mechanical performance index of the i-th thread, Represents the mean value of mechanical performance index, Y i represents the load-bearing capacity and fatigue life of the i-th thread, It represents the mean value of the load-bearing capacity and fatigue life of the thread.

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