Shape optimization and arrangement method for top end texture of hydraulic element blade

Abstract

The invention discloses a shape optimization and arrangement method for top end textures of hydraulic element blades, and relates to the field of fluid mechanics. The problem of how to reduce the friction force and improve the performance of hydraulic elements in the long-time operation process of a traditional electro-hydraulic servo motor is solved. The method comprises the steps that textures of different shapes at the top end of the blade of the continuous rotary electro-hydraulic servo motor are designed, the geometric dimensions of the textures are limited through the maximum leakage rate, and the optimal size and depth of the textures are found with the oil film bearing capacity as the target. According to a calculation result, a three-dimensional model is constructed, grid division and fluid simulation are carried out in Fluent Meshing, oil film pressure distribution of the texture is analyzed, and the optimal texture shape of the top end of the blade is determined. On the basis of the optimal texture shape, different arrangement modes are designed, a complete blade top end fluid three-dimensional model is established and simulated, the oil film bearing capacity, the maximum positive pressure and the shear stress under the different arrangement modes are analyzed, the influence of the oil film bearing capacity, the maximum positive pressure and the shear stress on the friction coefficient is determined, and finally the optimal solution is obtained.

Description

Technical Field

[0001] The invention relates to the technical field of fluid mechanics, and in particular to a method for optimizing and arranging micro-textures on the top surface of a hydraulic element blade. Background Art

[0002] The friction mechanism of the friction pair of the continuous rotation electro-hydraulic servo motor is as follows: the continuous rotation electro-hydraulic servo motor is mainly composed of blades, stators, rotors, oil distribution plates, end covers and sleeves. The main contact friction pairs exist between the top of the blade and the inner surface of the stator, between the blade and the blade groove, between the blade end face and the oil distribution plate, and between the rotor end face and the oil distribution plate.

[0003] For vane motors, the friction between the vanes and the stator is the determining factor in the motor's friction performance.

[0004] The friction pair between blade and stator is composed of the friction surface on the top of blade and the friction surface on the inner surface of stator.

[0005] Applying texturing technology to the surface of motor components can reduce friction and wear in the contact area, helping to extend the service life of the motor, especially in high-speed and high-load applications.

[0006] In summary, the electro-hydraulic servo motor in the prior art has the problem of how to reduce friction and improve the performance of hydraulic components during long-term operation. Summary of the invention

[0007] The present invention aims to solve the problem in the prior art of how to reduce friction and improve the performance of hydraulic components of an electro-hydraulic servo motor during long-term operation.

[0008] To solve the above technical problems, the present invention is achieved through the following technical solutions:

[0009] Solution 1: The present invention proposes a method for optimizing and arranging the micro-texture on the top surface of a hydraulic element blade, the method comprising the following steps:

[0010] Step 1, design different shapes of textures on the blade tip of the continuous rotary electro-hydraulic servo motor, respectively use the fmincon optimization algorithm and the particle swarm algorithm, combined with the solution of the Reynolds equation, limit the geometric size of the texture by the maximum leakage, take the oil film bearing capacity as the target, and confirm the optimal size and depth of different shapes of textures;

[0011] Step 2, using SolidWorks software to respectively establish three-dimensional models of textures of different shapes under the fmincon optimization algorithm and particle swarm algorithm described in step 1, and perform meshing and fluid simulation in fluent meshing to obtain the oil film pressure distribution of the texture;

[0012] Step 3, using the MATLAB simulation results combined with the oil film pressure distribution obtained by the fluent meshing simulation described in step 2 to determine the optimal single texture;

[0013] Step 4: Design an arrangement for the optimal single texture confirmed in step 3, establish and simulate three-dimensional models of each arrangement, analyze the oil film bearing capacity, maximum positive pressure of the oil film, and shear stress under different arrangements, obtain the characteristics of different arrangements, and the influence on the friction coefficient, that is, complete the optimal arrangement of the texture at the tip of the hydraulic element blade.

[0014] Furthermore, a preferred embodiment is provided, wherein the different shapes of textures at the top of the blades of the continuously rotating electro-hydraulic servo motor designed in step 1 include cylindrical, conical, parabolic, square and rhombus.

[0015] Furthermore, a preferred embodiment is provided, in which the method for confirming the optimal size and depth of textures of different shapes in step 1 is: defining the upper and lower bounds of texture parameters, generating at least one initial point, and configuring optimization options, optimizing the at least one initial point, defining objective and constraint functions, solving the Reynolds equation, calculating leakage and bearing capacity, outputting the optimal parameters and bearing capacity, and drawing a bearing capacity change graph.

[0016] Furthermore, a preferred embodiment is provided, in which the design method for arranging the optimal single texture confirmed in step 3 in step 4 is: using four distribution methods, namely uniform distribution, periodic distribution, lattice distribution, and gradient distribution, and setting a smooth texture as a control group to confirm the optimal single texture arrangement method.

[0017] Furthermore, a preferred embodiment is provided, wherein the uniform distribution is as follows: uniformly distributed gaps are confirmed, and the uniformly distributed gaps are set according to texture sizes, and are set to 0.5a, 1a, 1.5a, 2a, where a is the side length or radius of the texture.

[0018] Furthermore, a preferred embodiment is provided, wherein the periodic distribution is arranged in three ways: sine wave, square wave, and triangle wave.

[0019] Furthermore, a preferred embodiment is provided, wherein the dot matrix distribution is arranged in four shapes: rhombus, triangle, square, and hexagon.

[0020] Furthermore, a preferred embodiment is provided, wherein the gradient distribution is set with 0.5a as a starting point and 0.5a as a gap increase amount.

[0021] Solution 2: A computer device includes a processor and a storage medium, wherein the memory stores a computer program. When the processor runs the computer program stored in the memory, the processor executes any one of the methods described in Solution 1.

[0022] Solution 3: A computer storage medium is used to store a computer program. When the computer program is read by a computer, the computer executes any one of the methods described in Solution 1.

[0023] The present invention is beneficial in that:

[0024] The optimization and arrangement method of the hydraulic element blade tip texture described in the present invention can make the motor component have higher mechanical strength under different load conditions by optimizing the texture design, and design surface textures with different morphologies at the blade tip to effectively improve the friction performance of the hydraulic element friction pair.

[0025] The optimization and arrangement method of the hydraulic element blade tip texture described in the present invention solves the problem of reduced friction performance of traditional electro-hydraulic servo motors during long-term operation, thereby significantly improving their operating efficiency and service life. By optimizing the texture design, the friction coefficient can be effectively reduced, the oil film carrying capacity can be improved, and the leakage can be reduced, thereby achieving the purpose of reducing wear and improving working reliability and stability.

[0026] The principle of improving friction and wear by the motor blade top texture described in the present invention is to design tiny grooves, protrusions or other geometric patterns on the top. The texture can help the lubricant to be more evenly distributed on the friction surface, reduce the occurrence of dry friction, and thus improve the lubrication effect.

[0027] The texture design of the motor blade tip in the prior art is difficult to ensure that the design result is the optimal solution. The present invention first determines the optimal texture of the blade tip, and then arranges and combines the textures to verify the optimal arrangement method, ensuring that the texture shape and texture arrangement can reduce motor friction and wear, thereby further improving the performance of the hydraulic component.

[0028] The present invention adopts two algorithms to verify each other, and the calculation result is more reliable than that of a single algorithm.

[0029] The present invention is also applicable to the field of determining the optimal surface texture arrangement and combination of hydraulic components. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 This is a flow chart of a method for optimizing and arranging the texture of the tip of a hydraulic element blade as described in Implementation Method 1.

[0032] Figure 2 This is a diagram of the internal structure of a continuously rotating electro-hydraulic servo motor in a method for optimizing and arranging the texture of the tip of a hydraulic element blade described in Implementation Method 1.

[0033] Figure 3 It is a cross-sectional schematic diagram of different morphological textures of a method for optimizing and arranging the texture at the tip of a hydraulic element blade described in Implementation Method 1.

[0034] Figure 3 Among them, (a) cylinder, (b) cone, (c) square, (d) parabola, and (e) rhombus.

[0035] Figure 4 A schematic diagram of a three-dimensional fluid model of surface textures of different morphologies for optimizing and arranging the texture of the tip of a hydraulic element blade described in the first embodiment.

[0036] Figure 4 Among them, (a) cylinder, (b) cone, (c) square, (d) parabola, and (e) rhombus.

[0037] Figure 5 This is a single factor optimal pressure distribution diagram of different surface textures for a method for optimizing and arranging the texture on the tip of a hydraulic element blade as described in Implementation Method 1.

[0038] Figure 5 Among them, (a) cylinder, (b) cone, (c) square, (d) parabola, and (e) rhombus.

[0039] Figure 6 This is a schematic diagram of the relationship between the maximum pressure on the moving surface, the bearing capacity, the friction coefficient and the texture area ratio of a hydraulic element blade tip texture optimization and arrangement method described in Implementation Method 1.

[0040] Figure 6 In the figure, (a) is a schematic diagram showing the relationship between the maximum normal pressure and the area ratio, (b) is a schematic diagram showing the relationship between the oil film bearing capacity and the area ratio, and (c) is a schematic diagram showing the relationship between the friction coefficient and the area ratio.

[0041] Figure 7 This is a pressure distribution diagram of the optimal combination of optimization and arrangement methods of the hydraulic element blade tip texture described in implementation mode one.

[0042] Figure 8This is a schematic diagram of the fluid pressure distribution at the blade tip when the gap is 0.5a in the optimization and arrangement method of the blade tip texture of a hydraulic element described in Implementation Example 6.

[0043] Fig. 9 This is a schematic diagram of the fluid pressure distribution at the blade tip when the gap is 1a in the method for optimizing and arranging the texture of the blade tip of a hydraulic element described in Implementation Example 6.

[0044] Fig.10 This is a schematic diagram of the fluid pressure distribution at the blade tip when the gap is 1.5a in the method for optimizing and arranging the texture of the hydraulic element blade tip described in Implementation Example 6.

[0045] Fig.11 This is a schematic diagram of the fluid pressure distribution at the blade tip when the gap is 2a in the method for optimizing and arranging the texture of the blade tip of a hydraulic element described in Implementation Example 6.

[0046] Fig.12 This is a schematic diagram of fluid pressure distribution at the tip of a hydraulic element blade when arranged as a square wave in a method for optimizing and arranging the texture at the tip of the blade of a hydraulic element described in Implementation Example 7.

[0047] Fig.13 This is a schematic diagram of fluid pressure distribution at the blade tip when a triangular wave is arranged in a method for optimizing and arranging the texture at the blade tip of a hydraulic element described in Implementation Example 7.

[0048] Fig.14 This is a schematic diagram of the fluid pressure distribution at the tip of the blade when the blade is arranged as a sine wave in the method for optimizing and arranging the texture of the tip of a hydraulic element blade described in Implementation Example 7.

[0049] Fig.15 This is a schematic diagram of fluid pressure distribution at the blade tip when the blade tip is arranged in a square in the method for optimizing and arranging the texture of the hydraulic element blade tip described in Implementation Example 8.

[0050] Fig.16 This is a schematic diagram of fluid pressure distribution at the blade tip when the blade tip is arranged in a diamond shape in the method for optimizing and arranging the texture of the hydraulic element blade tip described in Implementation Example 8.

[0051] Fig.17 This is a schematic diagram of fluid pressure distribution at the blade tip when the blade tip is arranged in a hexagon in the method for optimizing and arranging the texture of the hydraulic element blade tip described in Implementation Example 8.

[0052] Fig.18 This is a schematic diagram of fluid pressure distribution at the blade tip when the blade tip is arranged in a triangle in the method for optimizing and arranging the texture of the hydraulic element blade tip described in Implementation Example 8.

[0053] Fig.19This is a schematic diagram of fluid pressure distribution at the blade tip when the texture is arranged in a gradient in a method for optimizing and arranging the texture at the blade tip of a hydraulic element described in Implementation Example 9.

[0054] Fig. 20 This is a schematic diagram of fluid pressure distribution when there is no texture on the blade tip in a method for optimizing and arranging the texture on the blade tip of a hydraulic element described in Implementation Example 9. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the implementation methods of the present application clearer, the technical solutions in the implementation methods of the present application will be clearly and completely described below in conjunction with the drawings in the implementation methods of the present application. Obviously, the described implementation methods are only part of the implementation methods of the present application, not all of the implementation methods.

[0056] Embodiment 1: This embodiment provides a method for optimizing and arranging the texture of the blade tip of a hydraulic element, and the optimization and arrangement method comprises the following steps:

[0057] Step 1, design different shapes of textures on the top of the blade of the continuous rotary electro-hydraulic servo motor, respectively use the fmincon optimization algorithm and the particle swarm algorithm, combined with the solution of the Reynolds equation, limit the geometric size of the texture by the maximum leakage, take the oil film bearing capacity as the target, and confirm the optimal size and depth of different shapes of textures;

[0058] Step 2, using SolidWorks software to respectively establish three-dimensional models of textures of different shapes under the fmincon optimization algorithm and particle swarm algorithm described in step 1, and perform meshing and fluid simulation in fluent meshing to obtain the oil film pressure distribution of the texture;

[0059] Step 3, using the MATLAB simulation results combined with the oil film pressure distribution obtained by the fluent meshing simulation described in step 2 to determine the optimal single texture;

[0060] Step 4: Design an arrangement for the optimal single texture confirmed in step 3, establish and simulate three-dimensional models of each arrangement, analyze the oil film bearing capacity, maximum positive pressure of the oil film, and shear stress under different arrangements, obtain the characteristics of different arrangements, and the influence on the friction coefficient, that is, complete the optimal arrangement of the texture at the tip of the hydraulic element blade.

[0061] Embodiment 2: This embodiment further limits the method for optimizing the arrangement of the texture at the tip of the hydraulic element blade described in embodiment 1. The different shapes of textures designed on the blades of the continuous rotating electro-hydraulic servo motor described in step 1 include cylindrical, conical, square, parabolic and rhombus shapes.

[0062] Implementation method three. This implementation method is a further limitation of the optimization arrangement method of the hydraulic element blade tip texture described in implementation method one. The method for confirming the optimal size and depth of textures of different shapes in step 1 is: defining the upper and lower bounds of texture parameters, generating at least one initial point, and configuring optimization options, optimizing the at least one initial point, defining the objective and constraint functions, solving the Reynolds equation, calculating the leakage and bearing capacity, outputting the optimal parameters and bearing capacity, and drawing a bearing capacity change graph.

[0063] Embodiment 4. This embodiment further limits the method for optimizing the arrangement of the texture at the tip of the hydraulic element blade described in embodiment 1. The design method for arranging the optimal single texture confirmed in step 3 in step 4 is: using four distribution methods, namely uniform distribution, gradient distribution, periodic distribution, and lattice distribution, and setting a smooth texture as a control group to confirm the optimal single texture arrangement method.

[0064] Embodiment 5. This embodiment further limits the method for optimizing the arrangement of the texture at the tip of the hydraulic element blade described in embodiment 4. The uniform distribution is as follows: confirming uniformly distributed gaps, and the uniformly distributed gaps are set according to the texture size, and are set to 0.5a, 1a, 1.5a, 2a, where a is the side length or radius of the texture.

[0065] Embodiment 6: This embodiment further limits the method for optimizing the arrangement of the hydraulic element blade tip texture described in embodiment 4. The periodic distribution described in S4.1 is arranged in three ways: sine wave, square wave, and triangle wave.

[0066] Embodiment 7: This embodiment further limits the method for optimizing the arrangement of the hydraulic element blade tip texture described in embodiment 4. The lattice distribution described in S4.1 is arranged in four shapes: rhombus, triangle, square, and hexagon.

[0067] Embodiment 8. This embodiment further limits the method for optimizing the arrangement of the texture at the tip of the hydraulic element blade described in embodiment 4, wherein the gradient distribution is set to take a gap of 0.5a as the starting point and 0.5a as the gap increment; the smooth group has no texture; a is the same as a in embodiment 6.

[0068] Embodiment 9. This embodiment proposes a computer device, including a processor and a storage medium, wherein a computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the method described in any one of embodiments 1 to 8.

[0069] Embodiment 10: This embodiment proposes a computer storage medium for storing a computer program. When the computer program is read by a computer, the computer executes the method described in any one of Embodiments 1 to 8.

[0070] Implementation Method 11: See Figures 1 to 20 This embodiment is described. This embodiment provides an example, which is used to explain the above-mentioned embodiments 1 to 8. The specific example is as follows:

[0071] This embodiment aims to provide a method for optimizing and arranging the texture of the tip of the hydraulic element blade to solve the problem of reduced friction performance of traditional electro-hydraulic servo motors during long-term operation, thereby significantly improving their operating efficiency and service life. By optimizing the texture design, the friction coefficient can be effectively reduced, the oil film carrying capacity can be improved, and the leakage can be reduced, thereby achieving the purpose of reducing wear and improving working reliability and stability.

[0072] Five different texture shapes, cylindrical, conical, parabolic, square and diamond, were designed for the top of the hydraulic element blade. To ensure that the design of these textures can achieve the effect of optimizing friction performance, the fmincon optimization algorithm and particle swarm algorithm were used respectively, and the Reynolds equation was combined for solution. By taking the oil film bearing capacity as the optimization target and the maximum leakage as the constraint condition, the optimal geometric dimensions of each texture shape were calculated to ensure the best friction performance.

[0073] Furthermore, SolidWorks software was used to build three-dimensional models for the 10 optimal textures under the two optimization algorithms. These three-dimensional models were finely meshed in Fluent Meshing software, and fluid simulation analysis was performed to obtain the distribution of oil film pressure under each texture. These simulation results not only provide basic data for subsequent performance evaluation, but also provide a scientific basis for design optimization.

[0074] Furthermore, by combining the MATLAB simulation results with the oil film load-bearing capacity and leakage data obtained in Fluent Meshing, the performance of various textures was comprehensively analyzed to determine the optimal single texture. This single texture can exhibit stable friction performance under various working conditions and has good load-bearing capacity and leakage control effects.

[0075] Based on the results of the determination of the optimal single texture, the effects of different arrangements and combinations of the texture at the blade tip on the friction performance were further explored. Four arrangements were designed: uniform distribution, lattice distribution, periodic distribution, and gradient distribution, and a smooth surface was used as a control group for comparative study. Through friction performance tests under different arrangements, the effects of these arrangements on oil film formation, load-bearing capacity, leakage, and friction coefficient were further analyzed.

[0076] Finally, SolidWorks software was used to establish a fluid model of the blade tip with these different arrangements, and fine meshing and detailed fluid simulation were performed in Fluent Meshing. By analyzing the changes in key parameters such as oil film bearing capacity, maximum positive pressure of the oil film, and shear stress under each arrangement, the influence of different arrangements on the friction coefficient was obtained. These research results provide effective theoretical and practical support for the surface texture optimization of hydraulic components and lay the foundation for subsequent application promotion.

[0077] Embodiment 1:

[0078] First, find the optimal single texture.

[0079] The shape of the texture is designed, and five surface texture shapes are selected: cylindrical, conical, square, parabolic and rhombus.

[0080] The fmincon optimization algorithm and particle swarm algorithm are used in combination with the solution of the Reynolds equation. The geometric size of the texture is limited by the maximum leakage, and the oil film bearing capacity is taken as the target to find the optimal size and depth of the five textures.

[0081] The optimization process of the fmincon optimization algorithm is as follows:

[0082] Set parameters (oil viscosity, moving speed, calculation domain side length, initial oil film thickness, oil density, maximum leakage), define the upper and lower bounds of texture parameters, generate multiple initial points, configure optimization options, multiple initial point optimization, define objective and constraint functions, solve Reynolds equation, calculate leakage and bearing capacity, output optimal parameters and bearing capacity, and draw a bearing capacity change graph.

[0083] The purpose of optimization is to find the optimal texture parameters that maximize the oil film bearing capacity and meet the leakage limit by combining the optimization algorithm with the solution of the Reynolds equation.

[0084] Because two algorithms are used for calculation, each texture shape will have two different results, so 10 different models need to be established in the next step.

[0085] In SolidWorks, a 3D model of the texture is established. Considering the difficulty of modeling and the difference in the final effect, the following two different modeling methods can be used. Method 1 is to directly establish the blade and texture model; Method 2 is to establish the fluid model of the rotary motor. The method described in this embodiment uses Method 2.

[0086] Fluent meshing software is used to simulate the motor surface texture. Fluent with meshing function is used to input fluid parameters and determine the inlet and outlet. The oil film distribution, oil film bearing capacity and shear stress of a single texture in fluid simulation are obtained.

[0087] Analyze the oil film distribution, oil film bearing capacity and shear stress in fluid simulation to determine the optimal single texture shape and size.

[0088] Then, an arrangement is designed at the blade tip based on the optimal single texture.

[0089] Four arrangement methods, namely uniform distribution, periodic distribution, lattice distribution and gradient distribution, were selected, and a smooth group without texture was set for comparison.

[0090] The optimal texture design is uniformly distributed, the texture gaps are designed to be 0.5a, a, 1.5a, 2a, and two distribution conditions are designed: 1. Distribution under the same area, 2. Distribution under the same area ratio.

[0091] The optimal texture design is uniformly distributed, and four distribution gaps of 0.5a, a, 1.5a, and 2a are designed.

[0092] Design periodic distribution for the optimal texture, and design three waveforms: sine wave, square wave, and triangle wave.

[0093] The lattice distribution is designed for the optimal texture, and four shapes are designed: triangle, diamond, square, and hexagon.

[0094] For the optimal texture design, the gradient distribution and smooth group are designed. The gradient distribution starts from 0.5a and gradually increases with a gap of 0.5a.

[0095] The 3D model is built by SolidWorks. There are two ways to build the 3D model. The first method is to build the assembly of blades and fluid; the second method is to build the fluid model at the top of the blade.

[0096] Perform Fluent simulation analysis on the three-dimensional model. If method one is used to build the three-dimensional model, solid-liquid coupling analysis is required; method two, which builds the blade tip fluid model, still uses Fluent with a meshing function.

[0097] Due to the small texture structure, the upper and lower limits of the grid size are reduced in the FLUENT simulation analysis, and the inlet and outlet end faces are set. Here, the inlet pressure is set to 7.5 MPa, the outlet pressure is set to 4.5 MPa, and the pressure difference is 3 MPa.

[0098] After performing the Fluent solution analysis, the pressure cloud diagram and force parameters were derived. On this basis, the distribution of the oil film bearing capacity and the changes in the oil film bearing capacity and shear stress under different arrangements were obtained.

[0099] Analyze the oil film distribution, oil film bearing capacity and shear stress in fluid simulation to determine the optimal texture arrangement and combination.

[0100] Finally, find the optimal solution.

[0101] The formula for the area ratio of a single texture and the oil film thickness is as follows.

[0102]

[0103]

[0104] The relationship between the oil film bearing capacity, shear stress and friction coefficient of the oil film is as follows.

[0105] The bearing capacity formula is:

[0106] W=∫∫p(x,y)dxdy (1)

[0107] Where: W is the oil film bearing capacity, unit is N; p(x, y) is the pressure distribution on the oil film.

[0108] In Fluent, friction can be obtained by integrating shear stress. The friction formula is:

[0109] F=∫∫τdxdy (2)

[0110] Where: F is the tangential friction force, unit is N; τ is the shear force of the wall N.

[0111] The friction coefficient f formula is:

[0112]

[0113] Where: F is the tangential friction force, unit is N; W is the oil film bearing capacity, unit is N.

[0114] Those skilled in the art will appreciate that the above are only preferred embodiments of the present invention, and the various embodiments of the present disclosure and / or the features described in the claims may be combined or combined in various ways, even if such combinations or combinations are not explicitly described in the present disclosure. It is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments, or perform equivalent substitutions on some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

[0115] Although preferred embodiments of the present invention have been described, additional changes and modifications may be made to these embodiments by those skilled in the art once the basic inventive concepts are known. 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 invention. Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for optimizing and arranging the shape of the blade tip texture of a hydraulic element, characterized in that: The optimization and arrangement method comprises the following steps: Step 1, design different shapes of textures at the tip of the blade of the continuous rotary electro-hydraulic servo motor, respectively use the fmincon optimization algorithm and the particle swarm algorithm, combined with the solution of the Reynolds equation, limit the geometric size of the texture by the maximum leakage, take the oil film bearing capacity as the target, and confirm the optimal size and depth of different shapes of textures; Step 2, using SolidWorks software to respectively establish three-dimensional models of textures of different shapes under the fmincon optimization algorithm and particle swarm algorithm described in step 1, and perform meshing and fluid simulation in fluent meshing to obtain the oil film pressure distribution of the texture; Step 3, using the MATLAB simulation results combined with the oil film pressure distribution obtained by the fluent meshing simulation described in step 2 to determine the optimal single texture; Step 4: Design an arrangement for the optimal single texture confirmed in step 3, establish and simulate three-dimensional models of each arrangement, analyze the oil film bearing capacity, maximum positive pressure of the oil film, and shear stress under different arrangements, obtain the characteristics of different arrangements, and the influence on the friction coefficient, that is, complete the optimal arrangement of the texture at the tip of the hydraulic element blade.

2. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 1, characterized in that: The different shapes of textures on the blades of the designed continuous rotation electro-hydraulic servo motor described in step 1 include cylindrical, conical, square, parabolic and rhombus.

3. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 1, characterized in that: The method for confirming the optimal size and depth of textures of different shapes in step 1 is: define the upper and lower bounds of texture parameters, generate at least one initial point, configure optimization options, optimize the at least one initial point, define the objective and constraint functions, solve the Reynolds equation, calculate the leakage and bearing capacity, output the optimal parameters and bearing capacity, and draw a bearing capacity change graph.

4. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 1, characterized in that: In step 4, the design method for arranging the optimal single texture confirmed in step 3 is: using four distribution methods: uniform distribution, periodic distribution, lattice distribution, and gradient distribution, and setting a smooth texture as a control group to confirm the optimal single texture arrangement.

5. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 4, characterized in that: The uniform distribution is as follows: uniformly distributed gaps are determined, and the uniformly distributed gaps are set according to the texture size, and are set to 0.5a, 1a, 1.5a, and 2a, where a is the side length or radius of the texture.

6. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 4, characterized in that: The period distribution is arranged in three ways: square wave, triangle wave and sine wave.

7. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 4, characterized in that: The dot matrix distribution is arranged in four shapes: square, rhombus, hexagon and triangle.

8. The method for optimizing and arranging the hydraulic element blade tip texture according to claim 4, characterized in that: The gradient distribution is set with a gap of 0.5a as the starting point and 0.5a as the gap increment; the smooth distribution has no texture; wherein a is uniformly distributed.

9. A computer device comprising a memory and a processor, characterized in that A computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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