Carbon fiber wheel dynamic stiffness modal simulation method, system, equipment and medium

Abstract

The invention belongs to the technical field of carbon fiber simulation calculation, and particularly relates to a carbon fiber wheel dynamic stiffness modal simulation method, system and equipment and a medium. The method comprises the following steps: firstly, carrying out carbon fiber sample-grade tensile tests at different layering angles, applying obtained material parameters to sample tensile simulation, carrying out benchmarking on simulation results and test results to verify the accuracy of the material parameters, and then carrying out equivalent treatment on anisotropic material parameters at different layering angles according to respective proportions in the carbon fiber wheel, so as to obtain the anisotropic material parameters of the carbon fiber wheel. And applying the equivalent quasi-isotropic carbon fiber material model to the dynamic stiffness and modal simulation of the carbon fiber wheel, and carrying out test and simulation result benchmarking. According to the method, the anisotropic property of the carbon fiber composite material is fully considered, the equivalent quasi-isotropic carbon fiber material model is obtained by applying the equivalent theory, rapid simulation of the carbon fiber composite material wheel is realized, and the effectiveness and the accuracy of simulation data are ensured.

Description

Technical Field

[0001] This invention belongs to the field of carbon fiber simulation calculation technology, specifically relating to a method, system, equipment, and medium for dynamic stiffness modal simulation of carbon fiber wheels. Background Technology

[0002] Lightweight structural design is a significant trend in industrial technology development, and current research focuses primarily on the use of lightweight materials and lightweight structural design. While lightweight structural design research is quite mature, with numerous established theories and methods, the characteristics of the selected materials must be considered. Therefore, future lightweight technology will be a technology that combines material application with structural design, guided by the use of novel materials. Carbon fiber composites, as one of the representatives of lightweight new materials, possess many advantages compared to traditional materials, including high specific strength, high specific dynamic stiffness, good fatigue resistance, corrosion resistance, and strong designability.

[0003] As a crucial component of the vehicle, wheels are a key focus of lightweighting efforts. Applying carbon fiber composite materials to lightweight wheel design can reduce weight by 20% to 40% compared to aluminum alloy wheels, while still meeting performance requirements such as strength and dynamic stiffness. Furthermore, it offers advantages such as improved corrosion resistance and energy conservation and emission reduction.

[0004] Compared to aluminum alloys, carbon fiber composites exhibit significant anisotropy. Therefore, obtaining accurate mechanical property parameters of carbon fiber materials and applying them precisely in simulations has become a key focus and challenge in lightweight development. Traditional simulation modeling requires the application of classical laminate theory to fully account for the impact of material anisotropy on the accuracy of simulation results. As is well known, although wheels are circular structural components, their shapes are varied and complex. Applying laminate theory to wheel simulations presents problems such as high modeling difficulty, long development cycles, and low efficiency, severely impacting project development progress. Therefore, how to achieve rapid simulation of carbon fiber composite wheels and ensure the validity and accuracy of simulation data is a problem that this invention urgently needs to solve. Summary of the Invention

[0005] This invention proposes a method, system, equipment, and medium for dynamic stiffness modal simulation of carbon fiber wheels to solve the problems of high modeling difficulty, long cycle, and low efficiency in existing wheel simulation.

[0006] To achieve the above objectives, the present invention proposes the following technical solution:

[0007] A modal simulation method for the dynamic stiffness of carbon fiber wheels includes the following steps:

[0008] Step S1: Prepare carbon fiber test specimens, conduct tests according to test requirements, and obtain tensile elastic modulus and simulated stress-strain curves;

[0009] Step S2: Establish a simulation model of the carbon fiber specimen, input the tensile modulus of elasticity obtained from the test, and output the test stress-strain curve and test results;

[0010] Step S3: Compare the simulated stress-strain curve with the experimental stress-strain curve to determine whether the data is accurate;

[0011] Set a target threshold. If the difference between the benchmark and the target threshold is less than the target threshold, proceed to the next step. If the difference between the benchmark and the target threshold is greater than the target threshold, return to step S2 to adjust the material parameters until the difference between the benchmark and the target threshold is less than the target threshold.

[0012] Step S4: Establish an equivalent quasi-isotropic carbon fiber material model;

[0013] Step S5: Perform dynamic stiffness and modal tests on carbon fiber wheels, obtain test results, and simultaneously establish a simulation model. Input the equivalent quasi-isotropic carbon fiber material model from step S4, and output the dynamic stiffness and modal simulation results.

[0014] Step S6: Compare the dynamic stiffness and modal simulation results with the experimental results in step S5 to determine whether the material model is reasonable;

[0015] Set dynamic stiffness difference threshold and modal difference threshold. If the dynamic stiffness comparison difference is less than the dynamic stiffness difference threshold and the modal comparison difference is less than the modal difference threshold, proceed to the next step; otherwise, return to S4 to correct the material parameters until the dynamic stiffness comparison difference is less than the dynamic stiffness difference threshold and the modal comparison difference is less than the modal difference threshold.

[0016] Preferably, the method also includes step S7, which specifically involves: establishing a parameter library of equivalent quasi-isotropic carbon fiber materials with different angle layup ratios.

[0017] Preferably, step S1 specifically includes:

[0018] S101, carbon fiber prepreg is stacked in several layers at different angles and formed in a mold to obtain two types of carbon fiber structural panels.

[0019] S102, the carbon fiber structural plate obtained in S101 is cut according to the dimensions required by the test standard, and 5 to 20 sets of carbon fiber tensile test specimens with different angles are prepared respectively.

[0020] S103, tensile tests were conducted according to the test standards to obtain the test stress-strain curve and tensile modulus of elasticity.

[0021] Preferably, step S2 specifically comprises:

[0022] A three-dimensional geometric model is established, and simulation tools are used to simulate and model the three-dimensional geometric model. Material parameters are input, and ply settings are configured. The simulation results output support reactions and displacements. The simulation results are processed to obtain the simulated stress-strain curves.

[0023] Preferably, step S4 specifically comprises:

[0024] S401, the tensile modulus of elasticity obtained in step S1 is averaged after data optimization to obtain their respective average tensile moduli of elasticity, which are named E1, E2, E3... E n ;

[0025] S402, record the proportions of different angles of the actual carbon fiber wheel layup as Q1, Q2, Q3...Q n ;

[0026] S403, calculate the equivalent quasi-isotropic elastic modulus of an actual carbon fiber wheel using the following formula:

[0027] E 等效 = α·(Q1·E1 + Q2·E2 + Q3·E3 + ··· + Q n ·E n )

[0028] In the formula, α is a correction coefficient related to the benchmarking results, and Q1, Q2, Q3...Q n These represent the proportions of different angles of the actual carbon fiber wheel layup, E1, E2, E3... E n These represent the average tensile modulus of elasticity of tensile specimens with different layup angles.

[0029] S404, based on the equivalent quasi-isotropic elastic modulus of the actual carbon fiber wheel, establishes an equivalent quasi-isotropic carbon fiber material model.

[0030] Preferably, step S5 specifically comprises:

[0031] Dynamic stiffness and modal tests were conducted on the carbon fiber wheel, and the test results were recorded. Simultaneously, a dynamic stiffness and modal simulation model of the carbon fiber wheel was established, including geometric processing of the three-dimensional model of the carbon fiber wheel, input of the equivalent quasi-isotropic carbon fiber material model described in step S4, meshing, application of boundary conditions, result output and processing.

[0032] Preferably, the target threshold in step S3 is 15%;

[0033] The dynamic stiffness difference threshold and modal difference threshold in step S6 are 10% and 5%, respectively.

[0034] A dynamic stiffness modal simulation system for carbon fiber wheels includes the following modules: test curve acquisition module, simulation curve acquisition module, curve calibration module, model building module, simulation output module, test calibration module, and parameter library building module;

[0035] The test curve acquisition module prepares carbon fiber test specimens, conducts tests according to test requirements, and obtains tensile elastic modulus and simulated stress-strain curves.

[0036] The simulation curve acquisition module establishes a simulation model of the carbon fiber sample, inputs the tensile elastic modulus obtained from the test, and outputs the test stress-strain curve and test results.

[0037] The curve comparison module compares the simulated stress-strain curve with the experimental stress-strain curve to determine whether the data is accurate.

[0038] Set a target threshold. If the difference between the benchmark and the target threshold is less than the target threshold, proceed to the next step. If the difference between the benchmark and the target threshold is greater than the target threshold, return to step S2 to adjust the material parameters until the difference between the benchmark and the target threshold is less than the target threshold.

[0039] The model building module establishes an equivalent quasi-isotropic carbon fiber material model.

[0040] The simulation output module performs dynamic stiffness and modal tests on carbon fiber wheels to obtain test results. At the same time, it establishes a simulation model, inputs the equivalent quasi-isotropic carbon fiber material model in step S4, and outputs dynamic stiffness and modal simulation results.

[0041] The test benchmarking module compares the dynamic stiffness and modal simulation results with the test results in step S5 to determine whether the material model is reasonable.

[0042] Set dynamic stiffness difference threshold and modal difference threshold. If the dynamic stiffness comparison difference is less than the dynamic stiffness difference threshold and the modal comparison difference is less than the modal difference threshold, proceed to the next step; otherwise, return to S4 to correct the material parameters until the dynamic stiffness comparison difference is less than the dynamic stiffness difference threshold and the modal comparison difference is less than the modal difference threshold.

[0043] The parameter library establishment module is used to establish a parameter library for equivalent quasi-isotropic carbon fiber materials with different angle layup ratios.

[0044] An electronic device, including a memory and a processor;

[0045] Memory, used to store computer programs;

[0046] A processor is used to execute the computer program, which, when executed by the processor, implements the steps of a method for dynamic stiffness modal simulation of carbon fiber wheels.

[0047] A computer-readable storage medium,

[0048] The storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for dynamic stiffness modal simulation of carbon fiber wheels.

[0049] The advantages of this invention are:

[0050] This invention proposes a method, system, equipment, and medium for modal simulation of the dynamic stiffness of carbon fiber wheels. Based on equivalent theory, it obtains equivalent quasi-isotropic data considering the layup ratio of carbon fiber wheels at various angles. This simplifies the complex layup anisotropic simulation using laminate theory to equivalent quasi-isotropic simulation, enabling rapid and accurate simulation results. In the modeling of dynamic stiffness and modal simulation of carbon fiber wheels, there is no need for cumbersome layup settings according to laminate theory, saving significant modeling time. Compared with actual experiments, the simulation results of this invention show high agreement with experimental results, achieving rapid simulation of the dynamic stiffness and modal characteristics of carbon fiber wheels. It provides timely feedback on simulation results, accurately guides the structural design of carbon fiber wheels, and reduces the R&D cycle of carbon fiber wheel projects. Attached Figure Description

[0051] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0052] Figure 1 A schematic diagram of a modal simulation method for the dynamic stiffness of carbon fiber wheels;

[0053] Figure 2 This is a schematic diagram of a 0° / 90° tensile test specimen used in a modal simulation method for the dynamic stiffness of a carbon fiber wheel.

[0054] Figure 3 This is a schematic diagram of a 45° / 45° tensile test specimen used in a modal simulation method for the dynamic stiffness of a carbon fiber wheel.

[0055] Figure 4 This is a comparison chart of the experimental and simulated stress-strain curves of a 0° / 90° tensile specimen in a modal simulation method for the dynamic stiffness of a carbon fiber wheel.

[0056] Figure 5 This is a comparison chart of the experimental and simulated stress-strain curves of a 45° / 45° tensile specimen in a modal simulation method for the dynamic stiffness of a carbon fiber wheel.

[0057] Figure 6 This is a schematic diagram of a carbon fiber wheel dynamic stiffness test in a modal simulation method for carbon fiber wheel dynamic stiffness.

[0058] Figure 7 This is a schematic diagram of a carbon fiber wheel modal test in a method for dynamic stiffness modal simulation of carbon fiber wheels.

[0059] Figure 8 This is a schematic diagram of an electronic device. Detailed Implementation

[0060] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0061] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0062] Example 1:

[0063] Please see Figure 1 As shown, this invention provides a method for modal simulation of the dynamic stiffness of carbon fiber wheels, specifically including the following steps:

[0064] S1: Fabricate carbon fiber test specimens, conduct tests according to experimental requirements, and process the test data to obtain carbon fiber material parameters and stress-strain curves; specifically:

[0065] S101: Carbon fiber prepreg is stacked in 6-12 layers at different angles and formed in a mold to obtain two types of carbon fiber structural panels. The different angles refer to the angle between the direction of the carbon fiber bundles in the carbon fiber prepreg and the direction of the main force, including various angles such as 0° / 90°, 10° / 80°, 20° / 70°, and 45° / 45°.

[0066] The carbon fiber prepreg refers to a composite material made from carbon fiber tow, epoxy resin, and other materials through a series of processes.

[0067] S102: Cut the carbon fiber structural plate obtained in S101 according to the required dimensions of the test standard, and prepare 5 to 20 sets of carbon fiber tensile test specimens with different angles.

[0068] S103: Perform tensile tests on carbon fiber tensile test specimens according to the test standards to obtain the stress-strain curves and tensile modulus of elasticity.

[0069] S2: Establish a simulation model of the carbon fiber specimen, input the material parameters obtained from experimental testing, and output the stress-strain curve; specifically:

[0070] A three-dimensional geometric model is established based on the dimensions of the carbon fiber tensile test specimen. Simulation tools are then used to model this three-dimensional geometric model. The tensile modulus of elasticity obtained in S103 is input as the material model parameters, while existing data are used for density, shear modulus, and Poisson's ratio. The ply configuration is determined based on the specimen's ply information. The simulation results output support reactions and displacements. Finally, the simulation results are processed to obtain the simulated stress-strain curves.

[0071] S3: Compare the stress-strain curves of the simulation and experiment to determine the accuracy of the data; if the comparison difference is less than 15%, proceed to the next step; if the comparison difference is greater than 15%, return to S2 to adjust the material parameters until the comparison difference is less than 15%.

[0072] S4: Establish an equivalent quasi-isotropic carbon fiber material model;

[0073] S401: The tensile modulus of elasticity of the tensile specimens with different layup angles obtained in step S1 is averaged after data optimization to obtain their respective average tensile modulus of elasticity, which are named E1, E2, E3... E n .

[0074] S402: Given the proportions of different angle layers in the actual carbon fiber wheel layup, recorded as Q1, Q2, Q3...Q n .

[0075] S403: Calculate the equivalent quasi-isotropic elastic modulus of an actual carbon fiber wheel using the following formula:

[0076] E 等效 = α·(Q1·E1 + Q2·E2 + Q3·E3 + ··· + Q n ·E n )

[0077] In the formula: α is the correction coefficient related to the benchmarking results (default initial value is α=1), Q1, Q2, Q3...Q n These represent the proportions of different angles of the actual carbon fiber wheel layup, E1, E2, E3... E n These represent the average tensile modulus of elasticity of tensile specimens with different ply angles.

[0078] S404: Establish an equivalent quasi-isotropic carbon fiber material model.

[0079] S5: Conduct dynamic stiffness and modal tests on carbon fiber wheels, and simultaneously establish a simulation model. Input the equivalent quasi-isotropic carbon fiber material model from S4, and output the simulation results; specifically:

[0080] Dynamic stiffness and modal tests of carbon fiber wheels were conducted according to the test standards, and the test results were recorded. Simultaneously, a dynamic stiffness and modal simulation model of the carbon fiber wheel was established based on the test standards, including geometric processing of the three-dimensional model of the carbon fiber wheel, inputting the equivalent quasi-isotropic carbon fiber material model described in step S4, meshing, applying boundary conditions, and outputting and processing the results.

[0081] S6: Compare the dynamic stiffness and modal simulation results with the experimental results to determine the rationality of the material model. If the dynamic stiffness comparison difference is less than 10% and the modal comparison difference is less than 5%, proceed to the next step. If the dynamic stiffness comparison difference is greater than 10% or the modal comparison difference is less than 5%, return to S4 for material parameter correction until the dynamic stiffness comparison difference is less than 10% and the modal comparison difference is less than 5%. Specifically:

[0082] The dynamic stiffness and modal simulation results from step S5 are compared with the experimental results. If the difference in dynamic stiffness is less than 10% and the difference in modal results is less than 5%, proceed to the next step. If the difference in dynamic stiffness is greater than 10% or the difference in modal results is less than 5%, return to step S4 for material parameter correction until the difference in dynamic stiffness is less than 10% and the difference in modal results is less than 5%. The correction coefficient α should be set according to the ratio between the equivalent E values ​​corresponding to different values ​​of a and b in the carbon fiber wheel.

[0083] S7: Establish a parameter library for equivalent quasi-isotropic carbon fiber materials with different layup angles and ratios. Specifically:

[0084] Through the verification in steps S1 to S6 above, it can be proven that the equivalent quasi-isotropic carbon fiber material model obtained by applying the equivalent theory in this invention is suitable for the dynamic stiffness and modal simulation of carbon fiber wheels. Since the layup angle of the carbon fiber prepreg needs to be adjusted according to the actual situation during the production of carbon fiber wheels, the layup ratio at different angles will change. Based on this, it is necessary to establish a parameter library of equivalent quasi-isotropic carbon fiber materials with different layup ratios at different angles to meet the dynamic stiffness and modal simulation requirements of different carbon fiber wheels.

[0085] This invention proposes a method, system, equipment, and medium for dynamic stiffness modal simulation of carbon fiber wheels. First, tensile tests are conducted on carbon fiber specimens with different layup angles. The obtained material parameters are applied to the tensile simulation of the specimens, and the simulation results are compared with the experimental results to verify the accuracy of the material parameters. Then, equivalent theory is applied to treat the anisotropic material parameters of different layup angles according to their respective proportions in the carbon fiber wheel, obtaining an equivalent quasi-isotropic carbon fiber material model. This model is applied to the dynamic stiffness and modal simulation of the carbon fiber wheel, and the experimental and simulation results are then compared. The difference in dynamic stiffness is less than 10%, and the difference in modal simulation is less than 5%. Because carbon fiber composite wheels have varied and complex shapes, while applying traditional laminate theory for layup settings can obtain relatively accurate simulation results, it is difficult to operate, time-consuming, and inefficient, seriously affecting project development progress. This invention, while fully considering the anisotropic properties of carbon fiber composites, applies equivalent theory to obtain an equivalent quasi-isotropic carbon fiber material model, realizing rapid simulation of carbon fiber composite wheels and ensuring the validity and accuracy of simulation data.

[0086] According to the present invention, based on the equivalent theory, equivalent quasi-isotropic data are obtained by considering the layup ratio of carbon fiber wheels at various angles. This simplifies the complex layup anisotropy simulation using laminate theory to an equivalent quasi-isotropic simulation, allowing for rapid and accurate acquisition of simulation results. It has the following beneficial effects:

[0087] In the process of modeling dynamic stiffness and modal simulation of carbon fiber wheels, there is no need to perform tedious layup settings according to laminate theory, which helps to save a lot of modeling time.

[0088] Compared with actual tests, the simulation results of this invention have a high degree of agreement with the test results, realizing rapid simulation of the dynamic stiffness and modal characteristics of carbon fiber wheels. It can provide timely feedback on simulation results, accurately guide the structural design of carbon fiber wheels, and reduce the R&D cycle of carbon fiber wheel projects.

[0089] Example 2:

[0090] This embodiment selects three carbon fiber wheels and implements the above-mentioned dynamic stiffness modal simulation method for carbon fiber wheels.

[0091] Step S1 is as follows:

[0092] S101: Carbon fiber prepregs are stacked in 9 layers at angles of 0° / 90° and 45° / 45° respectively and formed in a mold to obtain two types of carbon fiber structural panels. The 0° / 90° and 45° / 45° refer to the angle between the direction of the carbon fiber bundles in the carbon fiber prepreg and the direction of the main force.

[0093] S102: The carbon fiber structural plates obtained in S101 are cut according to the dimensions required by the test standard, and 10 sets are prepared as follows. Figure 2 Groups 12 and 10 of the 0° / 90° tensile test specimens, as shown Figure 3 The 45° / 45° tensile test specimen 15, wherein 11 and 13 represent the clamping end and loading end of the 0° / 90° tensile test specimen 12, respectively, and 14 and 16 represent the clamping end and loading end of the 45° / 45° tensile test specimen 15, respectively.

[0094] S103: According to the test standards such as GB / T 3354 and GB / T 30019, obtain the tensile modulus of elasticity as shown in Table 1. The density, shear modulus, and Poisson's ratio are obtained using existing data.

[0095] Table 1. Parameters of anisotropic carbon fiber materials

[0096]

[0097] Step S2 is as follows:

[0098] A three-dimensional geometric model is established based on the dimensions of the carbon fiber test specimen. A simulation tool is then used to model this three-dimensional geometric model. The parameters of the material model are input from the anisotropic carbon fiber material parameters obtained in S102 above. The layup information of the specimen is used to set the layup parameters, and the output results are set as support reactions and displacements. Finally, the simulation results are processed to output stress-strain curves.

[0099] Step S3 is as follows:

[0100] The stress-strain data from experiments and simulations of tensile test specimens at 0° / 90° and 45° / 45° were compared, and the results are as follows: Figure 4 and Figure 5 As shown, the error is within 15%, so the experimental results of step S1 and the modeling process of step S2 are accurate.

[0101] Step S4 is as follows:

[0102] S401: The two sets of tensile modulus of elasticity obtained in step S1, 0° / 90° and 45° / 45°, are averaged after data optimization to obtain their respective average tensile modulus of elasticity, named E1 and E2.

[0103] S402: The proportions of 0° / 90° and 45° / 45° layups in the actual carbon fiber wheel are known and recorded as Q1 and Q2.

[0104] S403: Calculate the equivalent quasi-isotropic elastic modulus of an actual carbon fiber wheel using the following formula:

[0105] E等效 = α·(Q1·E1 + Q2·E2)

[0106] In the formula: α is the correction coefficient related to the benchmark results (the default initial value is α=1), Q1 and Q2 are the proportions of 0° / 90° ply and 45° / 45° ply in the actual carbon fiber wheel ply, respectively, and E1 and E2 are the average tensile modulus of elasticity of 0° / 90° and 45° / 45° samples, respectively.

[0107] S404: This establishes an equivalent quasi-isotropic carbon fiber material model, including density, equivalent quasi-isotropic elastic modulus, and Poisson's ratio.

[0108] In this embodiment, three carbon fiber wheels were selected. The proportions of 0° / 90° layup and 45° / 45° layup are shown in Table 2 below. The equivalent quasi-isotropic carbon fiber material model was calculated according to the formula, as shown in Table 2 below:

[0109] Table 2 Equivalent Quasi-Isotropic Carbon Fiber Material Model

[0110]

[0111] Step S5 is as follows:

[0112] S501: In this embodiment, the dynamic stiffness test of the carbon fiber wheel is conducted according to the test standard, such as... Figure 6 Dynamic load excitation was applied by striking the carbon fiber wheel at points P1 and P2 with a small hammer. Frequency response curves were then collected at points M1 and M2. After software processing, the dynamic stiffness data of the carbon fiber wheel was obtained. Modal testing of the carbon fiber wheel was conducted according to modal testing standards, such as... Figure 7 The carbon fiber wheel 4 is suspended on the rigid bracket 1 by the bungee rope 2, and then the rim of the carbon fiber wheel 4 is gently tapped by the small hammer 3. The sensor 5 collects the frequency response curve, and after software processing, the frequency data of the carbon fiber wheel is obtained.

[0113] S502: Establish a dynamic stiffness and modal simulation model for the carbon fiber wheel, including geometric processing of the three-dimensional model of the carbon fiber wheel, input of the material model described in step S4, meshing, application of boundary conditions, output and processing of results.

[0114] Step S6 is as follows:

[0115] In this embodiment, three carbon fiber wheels were selected for dynamic stiffness and modal testing, and the simulation results were compared, as shown in Table 3.

[0116] Table 3 Comparison of test and simulation results of dynamic stiffness of carbon fiber wheels

[0117]

[0118] Benchmarking revealed that only the Model-3 wheels met the requirements, necessitating modifications to the material models for Model-1 and Model-2. A suitable E was obtained by adjusting α. 等效 This ensures that the benchmarking differences meet the requirements. See Table 4 below:

[0119] Table 4. Modified equivalent quasi-isotropic carbon fiber material model

[0120]

[0121] The modified material model was reassigned to the simulation model, and the simulation results were obtained after calculation. These results were then compared with the experimental results, as shown in Table 5.

[0122] Table 5 Comparison of test and simulation results of dynamic stiffness of carbon fiber wheels

[0123]

[0124] The second benchmarking revealed that the dynamic stiffness and modal characteristics of the modified Model-1 and Model-2 wheels both met the requirements.

[0125] Step S7 is as follows:

[0126] Through the verification in steps S1 to S6 above, it can be proven that the equivalent quasi-isotropic carbon fiber material model obtained by applying the equivalent theory in this invention is suitable for dynamic stiffness and modal simulation of carbon fiber wheels. In this embodiment, the proportions of 0° / 90° and 45° / 45° layups in the carbon fiber wheel are changed, and the verification in steps S1 to S6 is repeated to establish a parameter library of equivalent quasi-isotropic carbon fiber materials with different layup ratios, as shown in Table 6 below:

[0127] Table 6. Parameter library of equivalent quasi-isotropic carbon fiber materials with different layup angles.

[0128]

[0129] This database can quickly provide material parameters for dynamic stiffness and modal simulation calculations of carbon fiber wheels with different 0° / 90° and 45° / 45° ply ratios, and obtain simulation results quickly and accurately.

[0130] Example 3:

[0131] This invention provides a dynamic stiffness modal simulation system for carbon fiber wheels, specifically including: an experimental curve acquisition module, a simulation curve acquisition module, a curve calibration module, a model establishment module, a simulation output module, an experimental calibration module, and a parameter library establishment module.

[0132] The test curve acquisition module is used to prepare carbon fiber test specimens, conduct tests according to test requirements, process test data, and obtain carbon fiber material parameters and stress-strain curves.

[0133] The simulation curve acquisition module is used to build a simulation model of carbon fiber specimens, input material parameters obtained from experimental testing, and output stress-strain curves.

[0134] The curve calibration module is used to calibrate the stress-strain curves in simulation and experiment to determine the accuracy of the data. If the calibration difference is less than 15%, proceed to the next step. If the calibration difference is greater than 15%, return to S2 to adjust the material parameters until the calibration difference is less than 15%.

[0135] The model building module is used to build an equivalent quasi-isotropic carbon fiber material model;

[0136] The simulation output module is used to perform dynamic stiffness and modal tests on carbon fiber wheels, and simultaneously build a simulation model. It inputs an equivalent quasi-isotropic carbon fiber material model in S4 and outputs simulation results.

[0137] The test benchmarking module is used to benchmark the dynamic stiffness and modal simulation results against the test results to determine whether the material model is reasonable. If the dynamic stiffness benchmarking difference is less than 10% and the modal benchmarking difference is less than 5%, proceed to the next step. If the dynamic stiffness benchmarking difference is greater than 10% or the modal benchmarking difference is less than 5%, return to S4 to correct the material parameters until the dynamic stiffness benchmarking difference is less than 10% and the modal benchmarking difference is less than 5%.

[0138] The parameter library creation module is used to create a parameter library for equivalent quasi-isotropic carbon fiber materials with different layup ratios at different angles.

[0139] Example 4:

[0140] Please see Figure 8 As shown, the present invention also provides an electronic device 100; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0141] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the carbon fiber wheel dynamic stiffness modal simulation method described in Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0142] The at least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor. The processor 102 is the control center of the electronic device 100, connecting various parts of the electronic device 100 via various interfaces and lines.

[0143] The memory 101 in the electronic device 100 stores multiple instructions to implement a dynamic stiffness modal simulation method for a carbon fiber wheel, and the processor 102 can execute the multiple instructions to implement a dynamic stiffness modal simulation method for a carbon fiber wheel.

[0144] Example 5:

[0145] If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0146] As is known from common technical knowledge, this invention can be implemented through other embodiments that do not depart from its spirit or essential characteristics. Therefore, the disclosed embodiments described above are merely illustrative in all respects and are not the only ones. All modifications within the scope of this invention or its equivalents are included in this invention.

[0147] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0148] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0149] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0150] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0151] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method of modal simulation of dynamic stiffness of a carbon fiber wheel, characterized by, It comprises the following steps: Step S1, making carbon fiber test samples, testing according to test requirements, obtaining tensile elastic modulus and simulation stress-strain curve; Step S2, establishing a carbon fiber sample simulation model, inputting the tensile elastic modulus obtained by test, outputting the test stress-strain curve and test results; Step S3, comparing the simulation stress-strain curve with the test stress-strain curve, and judging whether the data is accurate; Setting a target threshold, if the difference is less than the target threshold, then go to the next step, if the difference is greater than the target threshold, it needs to return to step S2 to adjust the material parameters until the difference is less than the target threshold; Step S4, establishing an equivalent quasi-isotropic carbon fiber material model; Step S5, performing carbon fiber wheel dynamic stiffness and modal test, obtaining test results, and establishing a simulation model, inputting the equivalent quasi-isotropic carbon fiber material model in step S4, and outputting the dynamic stiffness and modal simulation results; Step S6, comparing the dynamic stiffness and modal simulation results with the test results in step S5, and judging whether the material model is reasonable; Setting a dynamic stiffness difference threshold and a modal difference threshold, if the dynamic stiffness difference is less than the dynamic stiffness difference threshold and the modal difference is less than the modal difference threshold, then go to the next step; otherwise, return to S4 to modify the material parameters until the dynamic stiffness difference is less than the dynamic stiffness difference threshold and the modal difference is less than the modal difference threshold.

2. A method of modal simulation of dynamic stiffness of a carbon fiber wheel as claimed in claim 1, wherein, It also comprises step S7, which is specifically:

3. The method of claim 1, wherein, Establishing an equivalent quasi-isotropic carbon fiber material parameter library with different angle layup proportions. The step S1 is specifically: S101, stacking carbon fiber prepreg according to different angles and forming two types of carbon fiber structure plates in a mold; S102, cutting the carbon fiber structure plates obtained in S101 according to the test standard size, and respectively preparing 5-20 groups of carbon fiber tensile test samples with different angles; 4. The method of claim 1, wherein, S103, performing tensile test according to the test standard, obtaining test stress-strain curve and tensile elastic modulus. The step S2 is specifically:

5. The method of claim 1, wherein, Establishing a three-dimensional geometric model, applying a simulation tool to simulate the three-dimensional geometric model, inputting material parameters, setting up layers, outputting simulation results of reaction force and displacement, and processing the simulation results to obtain a simulation stress-strain curve. S401, the tensile elastic modulus obtained in step S1 is respectively subjected to data optimization and averaging to obtain respective average tensile elastic modulus, respectively named E1, E2, E3··· E n ; S402, record the proportion of each angle layer in the actual layer of the carbon fiber wheel as Q1, Q2, Q3, ··· Q n ; The step S4 is specifically: E 等效 = α·(Q1·E1 + Q2·E2 + Q3·E3 + ··· + Q n ·E n ) In the formula, a is a correction coefficient related to the marking result, Q1, Q2, Q3, ··· Qn are the respective proportions of the different angle layers in the actual layer of the carbon fiber wheel, E1, E2, E3, ··· E n are the average tensile elastic moduli of the tensile test samples of the different angle layers, respectively. n In the formula, a is a correction coefficient related to the marking result, Q1, Q2, Q3, ··· Qn are the respective proportions of the different angle layers in the actual layer of the carbon fiber wheel, E1, E2, E3, ··· E n are the average tensile elastic moduli of the tensile test samples of the different angle layers, respectively. n In the formula, a is a correction coefficient related to the marking result, Q S403, calculating the equivalent quasi-isotropic elastic modulus of the actual carbon fiber wheel according to the following formula:

6. A method of modal simulation of dynamic stiffness of a carbon fiber wheel as defined in claim 1, wherein, S404, establishing an equivalent quasi-isotropic carbon fiber material model according to the equivalent quasi-isotropic elastic modulus of the actual carbon fiber wheel. The step S5 is specifically:

7. A method of modal simulation of dynamic stiffness of a carbon fiber wheel as defined in claim 1, wherein, Performing dynamic stiffness and modal test of carbon fiber wheel, recording test results, and establishing dynamic stiffness and modal simulation model of carbon fiber wheel, including carbon fiber wheel three-dimensional model geometric processing, inputting the equivalent quasi-isotropic carbon fiber material model in step S4, meshing, applying boundary conditions, outputting and processing results. The target threshold of step S3 is 15%; The dynamic stiffness difference threshold and the modal difference threshold of step S6 are 10% and 5% respectively.

8. A carbon fiber wheel dynamic stiffness modal emulation system, characterized by, The method comprises the following modules: a test curve acquisition module, a simulation curve acquisition module, a curve comparison module, a model establishment module, a simulation output module, a test comparison module and a parameter library establishment module. The test curve acquisition module prepares a carbon fiber test sample, tests the sample according to test requirements, and obtains the tensile elastic modulus and the simulation stress-strain curve. The simulation curve acquisition module establishes a simulation model of the carbon fiber sample, inputs the tensile elastic modulus obtained by the test, and outputs the test stress-strain curve and the test result. The curve comparison module compares the simulation stress-strain curve with the test stress-strain curve, and judges whether the data is accurate. A target threshold is set, if the comparison difference is less than the target threshold, the next step is entered, if the comparison difference is greater than the target threshold, the material parameters need to be adjusted until the comparison difference is less than the target threshold. The model establishment module establishes an equivalent quasi-isotropic carbon fiber material model. The simulation output module performs a carbon fiber wheel dynamic stiffness and modal test, obtains the test result, establishes a simulation model, inputs the equivalent quasi-isotropic carbon fiber material model in step S4, and outputs the dynamic stiffness and modal simulation result. The test comparison module compares the dynamic stiffness and modal simulation result with the test result in step S5, and judges whether the material model is reasonable. Dynamic stiffness difference threshold and modal difference threshold are set, if the dynamic stiffness comparison difference is less than the dynamic stiffness difference threshold and the modal comparison difference is less than the modal difference threshold, the next step is entered, otherwise, the material parameters are modified in S4 until the dynamic stiffness comparison difference is less than the dynamic stiffness difference threshold and the modal comparison difference is less than the modal difference threshold. The parameter library establishment module is used to establish an equivalent quasi-isotropic carbon fiber material parameter library with different angle layering proportions.

9. An electronic device, comprising: The method comprises a memory and a processor. The memory is used to store a computer program. The processor is used to execute the computer program, and the computer program is executed by the processor to realize the steps of the carbon fiber wheel dynamic stiffness modal simulation method according to any one of claims 1 to 7.

10. A computer readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is executed by the processor to realize the steps of the carbon fiber wheel dynamic stiffness modal simulation method according to any one of claims 1 to 7.

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