Radial tire contour rapid design and generation method, system and computer program

Abstract

The invention relates to the technical field of tire simulation design, in particular to a radial tire contour rapid design and generation method and system and a computer program. According to the method, firstly, a finite element model is generated according to a material distribution diagram of an original tire, then tire outer contour parameters are adjusted according to a preset performance target, and a corresponding basic vector model is generated. The method comprises the following steps: extracting node information of an original model and a basic vector model, endowing a weight coefficient, and calculating a tire finite element model with target performance; and finally, determining an optimal weight coefficient by using an optimization algorithm, and generating a tire outer contour curve meeting performance requirements through curve fitting. According to the method, the design efficiency is remarkably improved, the dependence on the personal ability of designers is reduced, and more accurate and reliable tire optimization design is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of tire simulation design, and in particular to a method, system and computer program for rapid design and generation of a radial tire profile. Background Art

[0002] In the field of tire design, radial tires have become a hot topic of research due to their excellent performance and wide application. The traditional radial tire profile design process usually includes multiple complex and time-consuming steps. Designers need to manually adjust multiple parameters of the tire profile to meet specific performance requirements. After each parameter adjustment, a corresponding finite element model must be built for the new profile to predict the target performance of the tire. This process is not only inefficient, but the design results are largely dependent on the personal ability and experience level of the designer, making it difficult to ensure the consistency and optimization of the design.

[0003] When using finite element models for performance prediction and optimization, the complexity of tire shapes and the diversity of design parameters often lead to low-quality or deformed units in the model. These low-quality or deformed units will significantly reduce the accuracy and credibility of finite element analysis, and in severe cases may even cause the calculation process to fail, making it impossible to obtain effective performance prediction results. In order to deal with this problem, strategies such as mesh adaptation or model mesh refinement are usually adopted in the prior art.

[0004] For example, the Chinese invention patent previously applied by the applicant (publication number: CN113392549B, publication date: 2022-08-30) discloses a method for quickly extracting the outer contour of a tire, which includes the following steps: 1) extracting all node coordinates of any section on the tire finite element model; 2) extracting the node coordinates on the outer contour of any section of the tire finite element model in sequence; 3) connecting straight lines between two points in the order of extracting the node coordinates to draw the outer contour line of the tire section; 4) judging whether the drawn outer contour line of the tire section meets the requirements. This method realizes the extraction of the node coordinates of any section on the tire finite element model through an algorithm, and automatically draws the outer contour curve of the section.

[0005] The Chinese invention patent (publication number: CN115618517A, publication date: 2023-01-17) discloses a tire segmented profile design method, which can perform segmented design on the profile diagram, and manage the different designs of each position component in a library. When designing the profile, the library file can be freely called, and then freely combined, and then parameter design can be performed, so as to achieve freer and more convenient design and improve design efficiency.

[0006] Although these methods have improved the model quality to a certain extent, they still cannot completely eliminate the appearance of deformed units. In addition, these methods often introduce additional computational overhead, further extending the design cycle and reducing the overall design efficiency. Summary of the invention

[0007] In order to solve the problems of low efficiency, reliance on designer experience, and unstable quality of finite element models in the traditional tire profile design process, the purpose of the present invention is to provide a method for rapid design and generation of radial tire profiles. The method should be able to quickly generate a new tire profile that meets performance requirements and its corresponding finite element model, while having a clear performance optimization orientation to ensure that the design results can meet specific performance requirements. The method of the present invention significantly improves design efficiency, reduces reliance on the personal ability of designers, and achieves more accurate and reliable tire optimization design.

[0008] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions: A method for rapid design and generation of radial tire profile based on performance orientation, characterized by comprising the following steps: 1) Generate the original tire vector model: Generate the finite element model of the original tire according to the material distribution map of the original tire; 2) Adjusting tire profile parameters: Based on the original tire profile, the profile parameters are adjusted according to the preset tire performance target. The value range of the profile parameters can widely cover the possible profile curve conditions. At the same time, the position and size of the internal structure of the tire are adjusted, the thickness size is kept unchanged, and a new tire material distribution map is generated; 3) Generate tire basic vector model: Use the material distribution map generated in step 2) to establish the corresponding finite element model, and ensure that the node number and unit number of the original model are consistent in the corresponding position; 4) Extract node information and calculate node coordinates of new tire model: Use the program to extract the numbers and coordinates of all nodes of the original vector model. M 0 , extract the numbers and coordinates of all nodes of all basic vector models respectively as B i ,in i Indicates i The node information of the tire finite element model with a new profile can be quickly obtained according to the following two formulas: M r ; ; in B i -M 0 Indicates iThe difference between the node coordinates of the basis vectors and the coordinates of the nodes with the same node number in the original vector, x i Weight coefficient, N is the total number of basis vectors; 5) Optimize weight coefficient: x i The variable parameters are taken as the optimization target, and the optimization calculation is performed to obtain the weight coefficient to achieve the expected performance target. x i ; 6) Generate a tire finite element model that meets the target performance: Generate a tire finite element model that meets the target performance requirements using the weight coefficient calculated in step 5); 7) Fitting the outer contour curve of the tire: extracting the outer contour node information of the tire finite element model generated in step 6) through the program, and fitting the outer contour curve of the tire.

[0009] Preferably, the step 1) further comprises using finite element analysis software to generate a three-dimensional finite element model according to a material distribution diagram of the original tire.

[0010] Preferably, in step 2), the preset tire performance targets include but are not limited to ground contact performance, wear resistance and comfort.

[0011] Preferably, in step 7), the program used to fit the tire outer contour curve is implemented by using a curve fitting algorithm based on the extracted outer contour node information, and the curve fitting algorithm is selected from polynomial fitting, spline fitting or other suitable curve fitting methods.

[0012] Furthermore, the present invention also provides a system for rapid design and generation of radial tire profile based on performance orientation, the system implementing the method described above, including: A data input module for receiving a material distribution map of an original tire and a preset tire performance target; A profile parameter adjustment module, used to adjust profile parameters based on the original tire profile according to preset performance targets and generate a new tire material distribution map; A finite element model generation module is used to generate a corresponding finite element model according to the adjusted material distribution map and ensure that the node number and unit number are consistent with the original model; A node information extraction module is used to extract the node numbers and coordinate information of the original vector model and all basic vector models; A model calculation module, used to calculate the node coordinates of the new tire finite element model according to the weight coefficient; An optimization module is used to use the weight coefficient as a variable parameter to perform optimization calculations based on the tire's performance objectives to obtain the best weight coefficient; A model generation module, used to generate a tire finite element model that meets target performance requirements using the optimized weight coefficients; The outer contour fitting module is used to extract the outer contour node information of the generated tire finite element model and fit the outer contour curve of the tire.

[0013] Preferably, the finite element model generation module is implemented based on Abaqus finite element analysis software.

[0014] Preferably, the optimization module uses one or more of genetic algorithms, particle swarm optimization algorithms or gradient descent algorithms to optimize the calculation of weight coefficients; and / or, the outer contour fitting module uses polynomial fitting, spline fitting or other suitable curve fitting algorithms to generate the tire outer contour curve.

[0015] Preferably, the data input module further comprises a user interface for a user to input a material distribution map of an original tire and a preset tire performance target.

[0016] Furthermore, the present invention also provides a computer-readable storage medium having a computer program or instruction stored thereon, and the method is implemented when the computer program or instruction is executed by a processor.

[0017] Furthermore, the present invention also provides a computer program product, comprising a computer program or instructions, which implement the method when executed by a processor.

[0018] The performance-oriented radial tire profile rapid design and generation method and system provided by the present invention address many deficiencies in the prior art and have the following significant beneficial effects: 1. Significantly improve design efficiency: By automatically adjusting tire profile parameters and generating finite element models, the time from traditional design to completing the finite element model is shortened from about 1 hour to only 2 minutes, greatly improving the efficiency of the design process.

[0019] 2. Reduce dependence on designer experience: This method reduces dependence on the designer’s personal ability and experience through a systematic parameter adjustment and optimization process, making the design results more consistent and controllable.

[0020] 3. Achieve accurate and reliable performance optimization: Based on the preset performance goals, the weight coefficients are used to optimize the profile parameters to ensure that the generated tire finite element model can accurately meet specific performance requirements, such as ground contact performance, wear resistance and comfort.

[0021] 4. Improve the quality of finite element models: The new tire finite element model generated by the optimization method effectively avoids the low-quality or deformed unit problems commonly found in traditional methods, improves the accuracy and credibility of finite element analysis, and ensures the reliability of performance prediction results.

[0022] 5. Flexible contour parameter adjustment: The value range design of contour parameters can widely cover possible contour curve situations, ensure the flexibility and adaptability of the design process, and meet diverse design needs.

[0023] 6. Optimize the automation and intelligence of the design process: The system integrates modules such as data input, parameter adjustment, finite element model generation, node information extraction, model calculation, optimization and contour fitting, realizing a high degree of automation and intelligence in the design process, further improving the overall design efficiency and quality.

[0024] In summary, the method and system provided by the present invention not only significantly improve the efficiency and accuracy of radial tire profile design, but also effectively solve many problems existing in traditional design methods, and have broad application prospects and significant market value. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 Schematic diagram of the tread profile of the original vector and the basic vector model; Figure 2 It is a schematic diagram of the overall finite element model; Figure 3 This is a schematic diagram comparing the local node information of the optimized and original models; Figure 4 Schematic diagram of the optimized rear tire finite element model and the comparison between the optimized and original tread profiles; Figure 5 This is a schematic diagram comparing the optimized grounding profile with the original grounding profile; Figure 6 The optimized tire profile geometry model. DETAILED DESCRIPTION

[0026] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Taking 205 / 55R16 as an example, the implementation steps of the present invention are as follows: The present invention will be further described in detail below in conjunction with the accompanying drawings: This embodiment is implemented based on the technical solution of the present invention, and a detailed implementation method is given under the Abaqus finite element system.

[0028] The first step is to generate the original tire vector model. Figure 1 ) Generate the finite element model of the original tire as Figure 2 As shown in Figure 1, the distribution diagram contains the materials of each layer of the tire and their physical properties. Using Abaqus software, a three-dimensional finite element model of the tire is generated based on the material distribution diagram. The specific steps are as follows: 1. Create a new finite element model file in Abaqus; 2. Define the properties of each layer of material according to the material distribution map, including elastic modulus, Poisson's ratio, density and other parameters; 3. Generate the geometric model of the tire to ensure that the geometric dimensions are consistent with the actual tire; 4. Mesh the geometric model and select the appropriate mesh size and type to ensure the accuracy of the finite element model; 5. Save and name the generated finite element model file as the original vector model.

[0029] In the second step, based on the original tire profile, the profile parameters are adjusted with the preset tire contact outer profile approaching the elliptical performance target. The profile parameter value range can widely cover the possible profile curve conditions (basic vector profile such as Figure 1 ). At the same time, the location and size of the tire's internal structure are adjusted accordingly with the changes in the new profile, but its thickness size remains unchanged, and then a new tire material distribution map is generated.

[0030] The third step is to generate tire basic vectors. Use the material distribution map generated in the second step to establish the corresponding finite element model, and ensure that the node numbers and unit numbers of the original model are consistent in the corresponding positions. Figure 2 shown.

[0031] The fourth step is to use the Python program to extract the numbers and coordinates of all nodes of the original vector model and mark them as M o , extract the numbers and coordinates of all nodes of all basic vector models and label them as B i , where i represents the i-th basis vector. According to the following two equations, the node information M of the tire finite element model with a new profile can be quickly obtained: r like Figure 3 shown.

[0032] Among them B i -M o represents the difference between the node coordinates of the ith basis vector and the coordinates of the node with the same node number in the original vector, x i Weight coefficient, N=2 is the total number of basis vectors.

[0033] Step 5: x i As variable parameters, the performance target of the tire is taken as the goal, and the optimization calculation is performed to obtain the weight coefficients x1=0.83 and x2=0.17 to achieve the expected performance target.

[0034] Step 6: Use the method in step 4 to optimize the x obtained in step 5 i The weight coefficient generates a tire finite element model that meets the target performance, such as Figure 4 As shown, verify that the tire contact outer profile is close to the elliptical performance target. Figure 5 shown.

[0035] In the seventh step, the outer contour curve of the tire is fitted by extracting the outer contour node information of the tire finite element model generated in the sixth step using a program. Figure 6 shown.

[0036] Through the above steps, the design and generation of performance-oriented radial tire profile can be quickly completed.

[0037] The present invention is a performance-oriented radial tire profile rapid design and generation system. The system integrates modules such as data input, parameter adjustment, finite element model generation, node information extraction, model calculation, optimization and profile fitting. The specific implementation method is as follows: Data input module: receives the material distribution map of the original tire and the preset tire performance target through the user interface. The user can upload the material distribution map file and input the performance target parameters; Profile parameter adjustment module: automatically adjusts tire profile parameters according to preset performance targets and generates new material distribution maps. This module ensures the rationality and diversity of profile parameters through preset parameter adjustment strategies; Finite element model generation module: Call the Abaqus software interface to generate the corresponding finite element model based on the adjusted material distribution map, ensuring that the node number and unit number are consistent with the original model; Node information extraction module: Use Python scripts to extract the node numbers and coordinate information of the original vector model and all basic vector models through the Abaqus API, and store them in a data format that can be used for subsequent calculations; Model calculation module: Calculate the node coordinates of the new tire finite element model according to the weight coefficient. This module implements the linear combination calculation of the node coordinates to ensure that the new model meets the performance-oriented design requirements; Optimization module: It integrates genetic algorithm, particle swarm optimization algorithm and gradient descent algorithm, and selects the appropriate optimization algorithm to optimize the weight coefficient to achieve the preset performance target; Model generation module: Generates a tire finite element model that meets the target performance requirements based on the optimized weight coefficients. This module ensures the accuracy and reliability of the new model; Outer contour fitting module: extracts the outer contour node information of the generated tire finite element model, and generates a smooth tire outer contour curve through a curve fitting algorithm. This module supports multiple fitting algorithms, and users can select the appropriate algorithm according to their needs.

[0038] The traditional method of constructing a tire finite element model with a new profile takes more than one hour from design to completion of the finite element model. The method proposed in this patent not only takes into account the preset tire performance but also takes only two minutes to complete the finite element model from design to completion, significantly improving the design efficiency, reducing the dependence on the personal ability of the designer, and achieving accurate and reliable tire optimization design. At the same time, this method effectively avoids the low-quality or deformed unit problems commonly seen in traditional methods in tire profile optimization.

[0039] The above is a description of the embodiments of the present invention. Through the above description of the disclosed embodiments, professionals and technicians in the field can implement or use the present invention. Various modifications to these embodiments will be apparent to professionals and technicians in the field. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown in this article, but will conform to the widest range consistent with the principles and novelties disclosed herein.

Claims

1. A method for rapid design and generation of radial tire profile based on performance orientation, characterized in that: The following steps are involved: 1) Generate the original tire vector model: Generate the finite element model of the original tire according to the material distribution map of the original tire; 2) Adjusting tire profile parameters: Based on the original tire profile, the profile parameters are adjusted according to the preset tire performance target. The value range of the profile parameters can widely cover the possible profile curve conditions. At the same time, the position and size of the internal structure of the tire are adjusted, the thickness size is kept unchanged, and a new tire material distribution map is generated; 3) Generate tire basic vector model: Use the material distribution map generated in step 2) to establish the corresponding finite element model, and ensure that the node number and unit number of the original model are consistent in the corresponding position; 4) Extract node information and calculate node coordinates of new tire model: Use the program to extract the numbers and coordinates of all nodes of the original vector model. M 0 , extract the numbers and coordinates of all nodes of all basic vector models respectively as B i ,in i Indicates i basis vectors; According to the following two formulas, the node information of the tire finite element model with a new profile can be quickly obtained: M r ; ； in B i -M 0 Indicates i The difference between the node coordinates of the basis vectors and the coordinates of the nodes with the same node number in the original vector, x i Weight coefficient, N is the total number of basis vectors; 5) Optimize weight coefficient: x i The variable parameters are taken as the optimization target, and the optimization calculation is performed to obtain the weight coefficient to achieve the expected performance target. x i ; 6) Generate a tire finite element model that meets the target performance: Generate a tire finite element model that meets the target performance requirements using the weight coefficient calculated in step 5); 7) Fitting the outer contour curve of the tire: extracting the outer contour node information of the tire finite element model generated in step 6) through the program, and fitting the outer contour curve of the tire.

2. The method according to claim 1, characterized in that The step 1) further includes using finite element analysis software to generate a three-dimensional finite element model according to the material distribution map of the original tire.

3. The method according to claim 1, characterized in that In the step 2), the preset tire performance targets include but are not limited to ground contact performance, wear resistance and comfort.

4. The method according to claim 1, characterized in that: In the step 7), the program used to fit the tire outer contour curve is implemented by using a curve fitting algorithm based on the extracted outer contour node information, and the curve fitting algorithm is selected from polynomial fitting, spline fitting or other suitable curve fitting methods.

5. A system for rapid design and generation of radial tire profile based on performance orientation, characterized in that: The system implements the method described in any one of claims 1 to 4, including: A data input module for receiving a material distribution map of an original tire and a preset tire performance target; A profile parameter adjustment module, used to adjust profile parameters based on the original tire profile according to preset performance targets and generate a new tire material distribution map; A finite element model generation module is used to generate a corresponding finite element model according to the adjusted material distribution map and ensure that the node number and unit number are consistent with the original model; A node information extraction module is used to extract the node numbers and coordinate information of the original vector model and all basic vector models; A model calculation module, used to calculate the node coordinates of the new tire finite element model according to the weight coefficient; An optimization module is used to use the weight coefficient as a variable parameter to perform optimization calculations based on the tire's performance objectives to obtain the best weight coefficient; A model generation module, used to generate a tire finite element model that meets target performance requirements using the optimized weight coefficients; The outer contour fitting module is used to extract the outer contour node information of the generated tire finite element model and fit the outer contour curve of the tire.

6. The system according to claim 5, characterized in that The finite element model generation module is implemented based on Abaqus finite element analysis software.

7. The system according to claim 5, characterized in that The optimization module uses one or more of genetic algorithm, particle swarm optimization algorithm or gradient descent algorithm to optimize the calculation of weight coefficients; and / or, the outer contour fitting module uses polynomial fitting, spline fitting or other suitable curve fitting algorithms to generate the tire outer contour curve.

8. The system according to claim 5, characterized in that The data input module further includes a user interface for a user to input a material distribution map of an original tire and a preset tire performance target.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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