Automobile instrument fatigue simulation analysis method and automobile instrument manufacturing method

Abstract

The invention discloses an automobile instrument fatigue simulation analysis method, which comprises the steps of S100, performing feature optimization, mesh generation and boundary condition setting on an automobile instrument model to obtain a preprocessed automobile instrument model, the feature optimization comprising deleting features with fillets smaller than a preset value; s200, importing the preprocessed automobile instrument model into fatigue analysis software for fatigue analysis to obtain a fatigue analysis result; s300, if it is determined that the motormeter model has a stress concentration problem according to the fatigue analysis result, optimization design is conducted on the motormeter model according to the fatigue analysis result, and the optimization design comprises the steps that a chamfer is enlarged at the transition position of stress concentration, a transition area is made to be in a streamline shape, and the transition area is made to be in a streamline shape; and a notch and a round hole are additionally formed in a low-stress part near the stress concentration area.

Description

Technical Field

[0001] The present invention relates to the technical field of automotive instruments, and particularly to a method for fatigue simulation analysis of automotive instruments and a manufacturing method of automotive instruments. Background Art

[0002] With the rapid development of the automotive industry and the improvement of people's living standards, automobiles have become one of the indispensable means of transportation for people's travel, freight transportation, etc.

[0003] After the automotive instrument product has experienced repeated load effects, fatigue phenomena occur, the function will fail, and the life of the product will expire. Then, how to extend the life of the product? The most effective method is to optimize the calculation of the shape, size and material of the product through simulation, so as to extend the life of the product.

[0004] At present, the verification method for the fatigue strength of automotive instruments in China generally adopts empirical structural design and durability tests after assembly to verify whether the fatigue strength of the instrument meets the requirements. Its disadvantages are that the development cycle of the instrument increases. Once it is verified through tests that the instrument structure does not meet the requirements, it needs to be redesigned, which prolongs the development cycle and for each designed instrument, it is necessary to verify whether the fatigue strength meets the requirements through tests, resulting in a large number of tests and increased test costs. Summary of the Invention

[0005] Based on the above situation, the main purpose of the present invention is to provide a durability fatigue simulation method for automotive instruments, which pre-performs durability evaluation, reduces physical tests, greatly reduces test time and costs, reduces the user's repair cost, and the automated process reduces the working time cost.

[0006] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0007] A method for fatigue simulation analysis of automotive instruments, comprising the steps of:

[0008] S100, performing feature optimization, mesh generation and boundary condition setting on the model of the automotive instrument to obtain a preprocessed model of the automotive instrument, wherein the feature optimization includes deleting features with a fillet radius less than a preset value;

[0009] S200, importing the preprocessed model of the automotive instrument into fatigue analysis software for fatigue analysis to obtain fatigue analysis results;

[0010] S300, if it is determined according to the fatigue analysis results that there is a stress concentration problem in the automotive instrument model, then optimizing the design of the automotive instrument model according to the fatigue analysis results, wherein the optimization design includes: increasing the chamfer at the transition of the stress concentration to make the transition zone streamline-shaped, and adding notches and round holes at low-stress parts near the stress concentration area.

[0011] Preferably, the preset value in the step S100 is 1 mm.

[0012] Preferably, the meshing of the model of the vehicle instrument in the step S100 includes determining the mesh size according to the mesh quality factor statistical chart.

[0013] Preferably, the mesh size is 0.62 mm.

[0014] Preferably, the setting of the boundary conditions for the model of the vehicle instrument includes performing remote displacement setting on the model of the vehicle instrument and applying shear force on the surface of the model.

[0015] Preferably, in the step S200, the preprocessed model of the vehicle instrument is imported into the Ncode analysis software for fatigue analysis to obtain the fatigue analysis result.

[0016] Preferably, in the step S300, increasing the chamfer at the transition of the stress concentration includes: adjusting the chamfer radius to 2 mm.

[0017] The present invention also discloses an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of any method described in the present invention are implemented.

[0018] The present invention also discloses a computer-readable storage medium storing machine-executable instructions. When the machine-executable instructions are called and run by a processor, the processor executes any method described in the present invention.

[0019] The present invention also discloses a manufacturing method of a vehicle instrument, and the vehicle instrument is manufactured according to any vehicle instrument fatigue simulation analysis method described in the present invention.

[0020] Using the technical solution of the present invention for the durability fatigue simulation of the vehicle instrument, durability evaluation is pre-conducted, physical tests are reduced, and major losses caused by design and processing changes are avoided. By simulating and optimizing the physical test load spectrum, the test time and cost are significantly reduced. By considering durability in product design, the user repair cost is reduced, and the automated process reduces the working time cost.

[0021] Other beneficial effects of the present invention will be elaborated in the specific implementation manner through the introduction of specific technical features and technical solutions. Those skilled in the art should be able to understand the beneficial technical effects brought by the technical features and technical solutions through these introductions. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The preferred embodiments of the automotive instrument fatigue simulation analysis method according to the present invention will be described below with reference to the accompanying drawings. In the figures:

[0023] Figure 1 It is a flowchart of an automotive instrument fatigue simulation analysis method according to a preferred embodiment of the present invention. Specific embodiments

[0024] Figure 1 It is a flowchart of an automotive instrument fatigue simulation analysis method according to a preferred embodiment of the present invention, including step S100 of performing feature optimization, mesh generation, and boundary condition setting on the model of the automotive instrument to obtain a preprocessed automotive instrument model. Among them, feature optimization includes deleting features with fillets less than a preset value; S200 of importing the preprocessed automotive instrument model into fatigue analysis software for fatigue analysis to obtain fatigue analysis results; S300 of, if it is determined according to the fatigue analysis results that there is a stress concentration problem in the automotive instrument model, optimizing the design of the automotive instrument model according to the fatigue analysis results. Among them, the optimization design includes: increasing the chamfer at the transition of the stress concentration to make the transition zone streamline, and adding notches and round holes at low-stress positions near the stress concentration area.

[0025] Using the technical solution of the present invention for the durability fatigue simulation of automotive instruments, pre-performing durability evaluation, reducing physical tests, avoiding major losses caused by design and processing changes, greatly reducing test time and cost by simulating and optimizing the physical test load spectrum, reducing user repair costs through the consideration of durability in product design, and reducing working time costs through an automated process.

[0026] In a preferred embodiment, the preset value in step S100 is 1 mm, that is, in step S100, feature optimization can be deleting features with fillets less than 1 mm. The reason for deleting features with fillets less than 1 mm in the model of the automotive instrument is that if all data of the calculation model is calculated, the calculation amount is very large, and the features less than 1 mm have little influence and can be not considered, so they can be deleted, thereby reducing the calculation amount and improving the simulation speed.

[0027] In a preferred embodiment, the mesh generation of the model of the automotive instrument in step S100 includes determining the mesh size according to the mesh quality factor statistical chart. Generally, the quality factor is between 0 and 1, and the closer the number is to 1, the better the mesh quality. In the specific embodiment, a suitable value can be selected according to the simulation design requirements. For example, the mesh size determined according to the mesh quality factor can be 0.62 mm.

[0028] In a preferred embodiment, the boundary condition setting for the model of the vehicle instrument in step S100 includes setting remote displacement for the vehicle instrument model and applying shear force on the surface of the model. In order to simulate the environment inside the actual installed instrument, remote displacement setting is required. Remote displacement setting generally means that in the three-dimensional coordinate system of the simulation environment, the model is restricted from moving in two directions and allowed to move in the other direction. For example, the model is restricted from moving in the Y and Z directions and is allowed to rotate in the X direction. The shear force can be set according to requirements, such as 300N.

[0029] In a specific embodiment, according to the fatigue analysis results, it is known that there is stress concentration in the vehicle instrument, the stress attenuation is obvious, and fatigue cracks occur at the stress concentration points. Therefore, it is necessary to optimize the structural data. At the same time, a sample test of the vehicle instrument can be carried out, that is, a fatigue test is performed on the sample, and the test results are compared with the simulation results. It is found that there are indeed stress concentration and crack fracture in the sample.

[0030] In a preferred embodiment, in step S200, the preprocessed vehicle instrument model can be imported into the Ncode analysis software for fatigue analysis to obtain the fatigue analysis results. In a specific embodiment, other fatigue analysis software can also be used for fatigue analysis.

[0031] In a preferred embodiment, in step S300, increasing the chamfer at the transition of the stress concentration includes: adjusting the chamfer radius to 2mm. For example, the original chamfer radius was R = 0.5mm, and after optimization, it was changed to R = 2mm, so that the transition area is close to a streamline shape. At the same time, notches and round holes are opened at the low-stress parts near the stress concentration area to make the stress streamline smooth and reduce the maximum stress peak.

[0032] In a specific embodiment, a secondary simulation analysis can be carried out on the basis of the structural optimization, and it can be found that the stress concentration area has been fully improved. The ANSYS Ncode designlife analysis results can provide a comprehensive fatigue performance evaluation for structural engineers, helping them optimize the design, extend the service life of the structure, and improve the reliability of the structure.

[0033] The present invention also discloses an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of any method described in the present invention are implemented.

[0034] The present invention also discloses a computer-readable storage medium storing machine-executable instructions. When the machine-executable instructions are called and run by a processor, the processor executes any method described in the present invention.

[0035] The present invention also discloses a manufacturing method of an automotive instrument, and the method manufactures the automotive instrument according to the automotive instrument model optimized and designed according to any one of the methods of the present invention.

[0036] It should be noted that in the present invention, step numbers (letter or number numbers) are used to refer to certain specific method steps, only for the purpose of description convenience and brevity, and by no means to limit the order of these method steps by letters or numbers. Those skilled in the art can understand that the order of relevant method steps should be determined by the technology itself and should not be unduly restricted due to the existence of step numbers.

[0037] Those skilled in the art can understand that on the premise of no conflict, the above preferred solutions can be freely combined and superimposed.

[0038] It should be understood that the above embodiments are merely exemplary and not restrictive. Without departing from the basic principles of the present invention, various obvious or equivalent modifications or substitutions made by those skilled in the art to the above details will be included within the scope of the claims of the present invention.

Claims

1. An automotive instrument fatigue simulation analysis method, characterized in that, Including the steps: S100, performing feature optimization, mesh generation, and boundary condition setting on the model of the vehicle instrument to obtain a preprocessed vehicle instrument model, where the feature optimization includes deleting features with fillets smaller than a preset value; S200, importing the preprocessed vehicle instrument model into fatigue analysis software for fatigue analysis to obtain fatigue analysis results; S300, if it is determined according to the fatigue analysis results that there is a stress concentration problem in the vehicle instrument model, then optimizing the design of the vehicle instrument model according to the fatigue analysis results, where the optimization design includes: increasing the chamfer at the transition of the stress concentration to make the transition zone streamline-shaped, and adding notches and round holes at low-stress parts near the stress concentration zone.

2. The method for fatigue simulation analysis of an automotive instrument according to claim 1, wherein, The preset value in step S100 is 1 mm.

3. The method for fatigue simulation analysis of an automotive instrument according to claim 1, characterized in that In step S100, the mesh generation of the vehicle instrument model includes determining the mesh size according to the mesh quality factor statistical chart.

4. The automotive instrument fatigue simulation analysis method according to claim 3, wherein, The mesh size is 0.62 mm.

5. The automotive instrument fatigue simulation analysis method according to claim 1, characterized in that The boundary condition setting for the vehicle instrument model includes performing remote displacement setting on the vehicle instrument model and applying shear force on the model surface.

6. The automotive instrument fatigue simulation analysis method according to claim 1, wherein In step S200, the preprocessed vehicle instrument model is imported into Ncode analysis software for fatigue analysis to obtain fatigue analysis results.

7. The method for fatigue simulation analysis of an automotive instrument according to claim 1, wherein In step S300, increasing the chamfer at the transition of the stress concentration includes: adjusting the chamfer radius to 2 mm.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 7 above.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and run by the processor, the processor executes the method described in any one of claims 1 to 7 above.

10. A manufacturing method of an automotive instrument, characterized in that, The method manufactures a vehicle instrument according to the vehicle instrument fatigue simulation analysis method described in any one of claims 1-7.

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