Bionic surface microstructure design method based on micro-nano additive

Abstract

The invention discloses a bionic surface micro-texture design method based on micro-nano additive materials, and belongs to the field of bionic micro-nano ceramic texture.The bionic surface micro-texture design method comprises the steps that a fish scale type surface micro-texture model with optimal characteristic parameters is constructed based on the bionic principle and common shapes; importing the fish scale type surface micro-texture model with the optimal characteristic parameters into slicing software, generating accurate data for guiding printing, and then printing to obtain a ceramic part; printing a ceramic part model based on the accurate data, performing degreasing sintering treatment on the ceramic part model to obtain surface roughness at different sintering time, and determining the optimal sintering time based on the surface roughness; and sintering the ceramic part based on the optimal sintering time to obtain the fish scale-shaped microstructure. A micro-nano ceramic 3D printing technology is adopted, and a novel fish scale-shaped micro-texture is designed based on a bionic concept and a common geometrical shape so as to enhance the lubricating performance of a friction pair.

Description

Technical Field

[0001] The invention belongs to the field of bionic micro-nano ceramic textures, and in particular relates to a bionic surface micro-texture design method based on micro-nano additives. Background Art

[0002] Micro-nano ceramic 3D printing technology combines the excellent performance of ceramic materials with the design freedom of 3D printing technology, breaking through the limitations of traditional ceramic manufacturing of complex shapes, long cycles and high costs. Its technical background covers the significant advantages of ceramic materials in high temperature performance, mechanical strength, chemical stability, electrical properties and biocompatibility, while solving the high requirements of micro-nano structures for manufacturing accuracy and performance optimization. 3D printing technology achieves efficient forming of complex geometric structures at the micron and even nanometer level through methods such as photocuring, inkjet printing, selective laser sintering and extrusion printing, and is widely used in electronic communications, medical biology and aerospace, such as 5G substrates, bone scaffolds and lightweight insulation components. Current research focuses on material development, sintering process optimization and multifunctional integration. In the future, it will develop in the direction of higher precision, larger scale and greener environmental protection, providing new impetus for the advanced manufacturing and industrialization of ceramic devices.

[0003] 3D printing ceramic substrate technology combines the excellent performance of ceramic materials with the manufacturing flexibility of 3D printing technology, bringing breakthroughs to the design and production of high-performance electronic substrates. Ceramic substrates are widely used in 5G communications, power electronics, aerospace and other fields due to their high insulation, high thermal conductivity, low dielectric loss and excellent mechanical and chemical stability. However, traditional manufacturing processes are difficult to meet the needs of complex shapes, precise structures and rapid iterations. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a bionic surface micro-texture design method based on micro-nano additives, comprising:

[0005] Construct a fish scale surface micro-texture model with optimal characteristic parameters based on bionic principles and common shapes;

[0006] The fish scale surface micro-texture model with the optimal characteristic parameters is imported into the slicing software, and after generating accurate data for guiding printing, printing is performed to obtain a ceramic part;

[0007] Printing a ceramic part model based on the precise data, performing degreasing and sintering treatment on the ceramic part model to obtain surface roughness at different sintering times, and determining an optimal sintering time based on the surface roughness;

[0008] The ceramic component is sintered based on the optimal sintering time to obtain a fish-scale micro-texture.

[0009] Preferably, the process of constructing a fish scale surface micro-texture model with optimal characteristic parameters based on bionic principles and common shapes includes:

[0010] Constructing a single fish-scale texture shape, and evenly arranging the single fish-scale texture shape in a three-dimensional model to obtain a large-area simulation surface model;

[0011] The large-area simulation surface model is imported into ANSYS, and the Fluent module in ANSYS is used to perform simulation analysis to obtain friction coefficient verification data of the fish-scale texture;

[0012] The optimal characteristic parameters are determined based on the influence of area ratio, texture depth and α angle on the friction coefficient of fish scale texture.

[0013] The fish scale surface micro-texture model is constructed based on the optimal characteristic parameters.

[0014] Preferably, the optimal characteristic parameters are: area ratio 20%, texture depth 150 μm, α angle 30°.

[0015] Preferably, after generating accurate data to guide printing, the printing parameters are: layer thickness 0.01 mm, exposure time 1800 ms, light source intensity 23700 μw / cm 2 .

[0016] Preferably, the optimal sintering time is 7 days.

[0017] Preferably, the expression based on the influence of area ratio, texture depth and α angle on the friction coefficient of fish scale texture is:

[0018] μ=1.7e -3 ·Sp 2 -7.1e -2 ·Sp+43.6·h0 2 -1.2e 4 ·h0-1.2e -3 α 2 +6.9e -2 α+8.2e 5 ;

[0019] Among them, μ is the friction coefficient, Sp is the area ratio, h0 is the texture depth, and α is the α angle.

[0020] On the other hand, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the method is implemented when the processor executes the computer program.

[0021] On the other hand, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the method when executed by a processor.

[0022] Compared with the prior art, the present invention has the following advantages and technical effects:

[0023] The present invention adopts micro-nano ceramic 3D printing technology, and designs a new type of fish-scale micro-texture based on the bionic concept and common geometric shapes to enhance the lubrication performance of the friction pair. By adjusting geometric parameters such as the area ratio Sp, the depth h1, and the α angle, the fish-scale shape is simplified, and a fish-scale texture lubrication model under different geometric parameters is established. The Hertz contact theory and the Reynolds equation in the form of mass conservation are used, and the computational fluid dynamics software FLUENT is used to solve the pressure distribution of the traditional shape texture and the fish-scale texture with different geometric parameters under fixed working conditions, and the changes in their lubricating oil film carrying capacity and friction coefficient are explored. A set of optimal fish-scale texture characteristic parameters are obtained through simulation data analysis, which improves the lubricating oil film carrying capacity and effectively reduces the friction coefficient. It provides a theoretical basis for the subsequent application of the texture on ceramic substrates. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0025] Figure 1 Schematic diagram of the geometric structure of the fish scale surface micro texture according to an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of a three-dimensional model of a 10mmx7mmx0.15mm bionic texture according to an embodiment of the present invention;

[0027] Figure 3 Schematic diagram of surface morphology and roughness Ra under different printing parameters of an embodiment of the present invention. DETAILED DESCRIPTION

[0028] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0029] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] Embodiment 1

[0031] like Figure 1-3 As shown, this embodiment provides a bionic surface micro-texture design method based on micro-nano additives, including:

[0032] Construct a fish scale surface micro-texture model with optimal characteristic parameters based on bionic principles and common shapes;

[0033] The fish scale surface micro-texture model with the optimal characteristic parameters is imported into the slicing software, and after generating accurate data for guiding printing, printing is performed to obtain a ceramic part;

[0034] Printing a ceramic part model based on the precise data, performing degreasing and sintering treatment on the ceramic part model to obtain surface roughness at different sintering times, and determining an optimal sintering time based on the surface roughness;

[0035] The ceramic component is sintered based on the optimal sintering time to obtain a fish-scale micro-texture.

[0036] Furthermore, the process of constructing a fish scale surface micro-texture model with optimal characteristic parameters based on bionic principles and common shapes includes:

[0037] Constructing a single fish-scale texture shape, and evenly arranging the single fish-scale texture shape in a three-dimensional model to obtain a large-area simulation surface model;

[0038] The large-area simulation surface model is imported into ANSYS, and the Fluent module in ANSYS is used to perform simulation analysis to obtain friction coefficient verification data of the fish-scale texture;

[0039] The optimal characteristic parameters are determined based on the influence of area ratio, texture depth and α angle on the friction coefficient of fish scale texture.

[0040] The fish scale surface micro-texture model is constructed based on the optimal characteristic parameters.

[0041] Furthermore, the optimal characteristic parameters are: area ratio 20%, texture depth 150 μm, and α angle 30°.

[0042] Furthermore, after generating accurate data to guide printing, the printing parameters are as follows: layer thickness 0.01mm, exposure time 1800ms, light source intensity 23700μw / cm 2 .

[0043] Furthermore, the optimal sintering time is 7 days.

[0044] Furthermore, the expression based on the influence of area ratio, texture depth and α angle on the friction coefficient of fish scale texture is:

[0045] μ=1.7e -3 ·Sp 2 -7.1e -2 ·Sp+43.6·h0 2 -1.2e 4 ·h0-1.2e -3 α 2 +6.9e -2 α+8.2e 5 ;

[0046] Among them, μ is the friction coefficient, Sp is the area ratio, h0 is the texture depth, and α is the α angle.

[0047] On the other hand, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the method is implemented when the processor executes the computer program.

[0048] On the other hand, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the method when executed by a processor.

[0049] Embodiment 2

[0050] This embodiment provides a bionic surface micro-texture design method based on micro-nano additives, including:

[0051] 1. Model design and simulation: Based on the bionic principle and common shape texture, fish scale surface micro-texture models with different characteristic parameters are designed. First, a single texture shape is designed, and then the texture shape is evenly arranged in the three-dimensional model to realize the design of a large-area simulation surface. The number and method of arrangement are also verified by experiments. The single texture model and the large texture model with different area ratios are imported into ANSYS, and the Fluent module in ANSYS is used for simulation analysis. The friction coefficient f of each texture is calculated based on the simulation data, and it is found that the friction coefficient of the fish scale texture is much lower than that of the micro-texture of common shapes. Then, the influence of the three characteristic parameters of area ratio, texture depth, and α angle on the friction coefficient of the fish scale texture is studied, and multiple groups of characteristic parameter combinations are obtained. When the area ratio is 20%, the texture depth is 150μm, and the α angle is 30°, the friction coefficient can be effectively reduced and the lubrication performance can be improved.

[0052] 2.3D printing process: In the early stage, the fish scale texture is first three-dimensionally modeled and saved as an STL format file, and then imported into the slicing software to slice the model to generate accurate data to guide printing. Ceramic slurry Select a special ceramic slurry containing photosensitive resin and ceramic powder. Before the printing process, adjust the key parameters such as printing layer thickness, light source power, exposure time and light source intensity. After the parameters are set, start the printing equipment. At this stage, the equipment will accurately build parts layer by layer according to the preset parameters and the instructions of the control system. The entire process requires real-time monitoring of the operating status of the equipment to ensure that each step is carried out according to the predetermined trajectory before a qualified experimental sample can be printed. After printing is completed, a microscope is used to evaluate the dimensional accuracy, surface finish and structural integrity of the test model to preliminarily judge the printing quality.

[0053] 3. Sintering treatment: In order to study the influence of sintering time on the hardness and roughness of ceramic parts, a model with a size of 15mm*10mm*1.5mm was designed. A right-angled triangular boss structure was attached to the lower left corner of each part to distinguish the front and back sides. The printing process parameters selected layer thickness 0.01mm, exposure time 1500ms, and light source intensity 25000W / m2. In order to reduce molding errors, multiple models were printed at one time. After printing, the ceramic samples that met the requirements of molding quality and dimensional accuracy were degreased and sintered. Four different degreasing and sintering time points of 0h, 72h, 148h, and 240h were selected for degreasing and sintering time for comparative analysis. The analysis showed that the value of surface roughness Ra after degreasing and sintering showed a trend of first decreasing and then increasing with the increase of sintering days, and the hardness of the parts showed a trend of first increasing and then decreasing, among which it reached the maximum value on the 7th day of sintering. After comprehensive analysis, it was verified that 7h was the best sintering time for fish scale texture.

[0054] 4. Parameter optimization: Practical orthogonal experiments were used to study the effects of layer thickness, exposure time and light source intensity on the molding quality of bionic structures. Considering the specific size requirements and characteristics of microstructure molding, the adjustment range of these variables was determined. The printing layer thickness is: 0.005, 0.01, 0.015mm, the exposure time is: 1200, 1500, 1800ms, and the light source intensity is: 22000, 23700, 25000μw / cm2. Nine orthogonal experimental schemes were obtained using the orthogonal scheme. After printing, a measurement length of 10mm was set, the sampling interval was greater than 1mm, and the roughness Ra values ​​of 7 points were measured. The roughness results Ra values ​​measured under 9 groups of different process parameters are shown in Table 1.

[0055] Table 1

[0056]

[0057] By comparing and analyzing the roughness Ra values ​​of the molding planes with nine different printing parameters, it was found that in the three experiments with the same printing layer thickness, the change in printing layer thickness caused the range of the roughness Ra value to reach 67.97. Similarly, the change in exposure time caused the range of the roughness Ra value to reach 86.23, and the change in light source intensity C caused the range of the roughness to reach 116.11. According to the principle of orthogonal experiment, the size of the range value can determine the primary and secondary relationship of the factors affecting the experiment. Therefore, the influence of each factor on the roughness Ra value is in the order of light source intensity > exposure time > printing layer thickness. It is concluded that the optimal printing parameter combination for roughness Ra should be layer thickness 0.01mm, exposure time 1800ms, and light source intensity 23700μw / cm2.

[0058] 5. Texture parameter function model: Friction experiments were carried out on fish-scale surface micro-textures with different characteristic parameters to study the influence of area ratio Sp, texture depth h1 and α angle on the friction coefficient f of fish-scale surface micro-texture. Based on the study of a single parameter, 10 groups of texture models with different parameters were combined to obtain different friction coefficients, as shown in Table 2.

[0059] Table 2

[0060]

[0061]

[0062] The experimental results show that with the increase of area ratio, texture depth and α angle, the friction coefficient of fish scale texture decreases first and then increases, and the influence of multiple parameters on the friction coefficient presents a multivariate quadratic relationship. The obtained data is imported into Python to calculate the value of the coefficient, and the relationship equation between the friction coefficient and the surface characteristics is obtained as follows:

[0063] μ=1.7e -3 ·Sp 2 -7.1e -2 ·Sp+43.6·h0 2 -1.2e 4 ·h0-1.2e -3 α 2 +6.9e -2 α+8.2e 5 ;

[0064] The present invention adopts micro-nano ceramic 3D printing technology, and designs a new type of fish-scale micro-texture based on the bionic concept and common geometric shapes to enhance the lubrication performance of the friction pair. By adjusting geometric parameters such as the area ratio Sp, the depth h1, and the α angle, the fish-scale shape is simplified, and a fish-scale texture lubrication model under different geometric parameters is established. The Hertz contact theory and the Reynolds equation in the form of mass conservation are used, and the computational fluid dynamics software FLUENT is used to solve the pressure distribution of the traditional shape texture and the fish-scale texture with different geometric parameters under fixed working conditions, and the influence of their lubricating oil film load capacity and friction coefficient is explored. A set of optimal fish-scale texture characteristic parameters are obtained through simulation data analysis, which improves the lubricating oil film load capacity and effectively reduces the friction coefficient. It provides a theoretical basis for the subsequent application of the texture on ceramic substrates.

[0065] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A bionic surface micro-texture design method based on micro-nano additives, characterized in that: include: A fish scale surface micro-texture model with optimal characteristic parameters is constructed based on bionic principles and common shapes; The fish scale surface micro-texture model with the optimal characteristic parameters is imported into the slicing software, and after generating accurate data for guiding printing, printing is performed to obtain a ceramic part; Printing a ceramic part model based on the precise data, performing degreasing and sintering treatment on the ceramic part model to obtain surface roughness at different sintering times, and determining an optimal sintering time based on the surface roughness; The ceramic component is sintered based on the optimal sintering time to obtain a fish-scale micro-texture.

2. The method according to claim 1, characterized in that The process of constructing a fish scale surface micro-texture model with optimal characteristic parameters based on bionic principles and common shapes includes: Constructing a single fish-scale texture shape, and evenly arranging the single fish-scale texture shape in a three-dimensional model to obtain a large-area simulation surface model; The large-area simulation surface model is imported into ANSYS, and the Fluent module in ANSYS is used to perform simulation analysis to obtain friction coefficient verification data of the fish-scale texture; The optimal characteristic parameters are determined based on the influence of area ratio, texture depth and α angle on the friction coefficient of fish scale texture. The fish scale surface micro-texture model is constructed based on the optimal characteristic parameters.

3. The method according to claim 2, characterized in that The optimal characteristic parameters are: area ratio 20%, texture depth 150 μm, and α angle 30°.

4. The method according to claim 1, characterized in that: After generating accurate data to guide printing, the printing parameters are: layer thickness 0.01mm, exposure time 1800ms, light source intensity 23700μw / cm 2 .

5. The method according to claim 1, characterized in that The optimal sintering time is 7 days.

6. The method according to claim 1, characterized in that The expression based on the influence of area ratio, texture depth and α angle on the friction coefficient of fish scale texture is: μ=1.7e -3 ·Sp 2 -7.1e -2 ·Sp+43.6·h0 2 -1.2e 4 ·h0-1.2e -3 ·a 2 +6.9e -2 ·α+8.2e 5 ; Among them, μ is the friction coefficient, Sp is the area ratio, h0 is the texture depth, and α is the α angle.

7. An electronic device comprising a memory, a processor, and a computing program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method described in any one of claims 1 to 6 is implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method described in any one of claims 1 to 6 is implemented.

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