Method and device for determining parameters of tire tread rubber

Abstract

The invention discloses a method and a device for determining parameters of tire tread rubber. The method comprises the following steps: acquiring rubber material attribute parameters, at least including hardness, of a plurality of tread rubber materials; a friction simulation experiment is carried out through a tire material friction simulation model, and the model comprises a first tread rubber sample and a roller so as to determine contact friction energy; carrying out a rolling abrasion experiment on the second tread rubber sample with the same shape to obtain an abrasion volume; calculating an abrasion performance coefficient by combining the friction energy, the abrasion volume and the hardness; and selecting the rubber material attribute parameter corresponding to the minimum abrasion performance coefficient as a target rubber material attribute parameter. The technical problem that it is difficult to efficiently and accurately determine the abrasion performance of different tread rubber materials for guiding material selection in a tire production scene is solved.

Description

Technical Field

[0001] The present application relates to the technical field of tire parameter design, and in particular to a method and device for determining parameters of a tire tread rubber material. Background Art

[0002] Tires are the cornerstone of automotive safety and performance, and their wear performance is a key indicator for ensuring driving stability and extending service life. Precisely selecting tread compounds to mitigate tire wear and enhance durability is a strategic priority for tire manufacturers. However, efficiently and accurately evaluating compound wear performance in production to guide material optimization remains a major technical challenge.

[0003] Traditional wear testing methods, such as the Akron and DIN tests, while capable of providing fundamental data, are severely limited by lengthy experimental cycles, high resource consumption, and sensitivity to environmental conditions. They require the preparation of specialized specimens and physical wear testing, a process that is inefficient in large-scale production and struggles to achieve high consistency and reproducibility in results. Reliability issues are particularly prominent when comparing the performance of different materials. Furthermore, these methods struggle to simulate tire performance in complex and variable real-world environments, such as wear characteristics on slippery roads or under high-speed driving conditions. This results in a lack of comprehensive and accurate data support for rubber compound selection, hindering the tire industry's exploration and innovation in higher-performance materials.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] The embodiments of the present application provide a method and apparatus for determining parameters of a tire tread rubber material, so as to at least solve the technical problem in tire production scenarios where it is difficult to efficiently and accurately determine the wear properties of different tread rubber materials for guiding material selection.

[0006] According to one aspect of an embodiment of the present application, a method for determining parameters of a tire tread rubber material is provided, comprising: obtaining multiple sets of rubber material property parameters corresponding to multiple tread rubber materials, wherein the rubber material property parameters include at least hardness; for each tread rubber material, inputting the rubber material property parameters and preset simulation operating state parameters of the tread rubber material into a tire friction simulation model to perform a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results; performing a rolling wear experiment on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operating state parameters of the rolling wear experiment are the same as the simulation operating state parameters; determining the wear volume of the second tread rubber material sample based on the experimental results; determining the wear performance coefficient of the tread rubber material based on the friction energy, wear volume and hardness; and determining the rubber property parameter with the smallest corresponding wear performance coefficient from the multiple sets of rubber property parameters as the target rubber property parameter for the tire to be produced.

[0007] Optionally, the rubber material property parameters also include: shear modulus, elastic modulus, Poisson's ratio, dynamic friction coefficient, maximum static friction coefficient; the simulation operation state parameters and the experimental operation state parameters at least include: operating environment, positive pressure per unit area applied to the tread rubber material sample, rolling speed between the tread rubber material sample and the contact plane, and total contact time.

[0008] Optionally, the rubber property parameters of the tread rubber material and the preset simulation operation state parameters are input into the tire friction simulation model to perform a friction simulation experiment, including: initializing the tire friction simulation model; substituting the rubber property parameters of the tread rubber material into the first tread rubber material sample and configuring the simulation operation state parameters; explicitly loading the tire friction simulation model to complete the friction simulation experiment.

[0009] Optionally, the simulation results include at least: the number of contacts between the first tread rubber material sample and the roller, the contact duration and sliding distance of each contact, and the normal pressure applied to the first tread rubber material sample; and determining the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results includes: calculating the sliding speed of each contact between the first tread rubber material sample and the roller according to the following formula:

[0010]

[0011] Where, v slip represents the slip velocity, d slip represents the sliding distance, and Δt represents the contact time;

[0012] Calculate the comprehensive friction coefficient of the first tread rubber sample according to the following formula:

[0013]

[0014] Where, μ represents the comprehensive friction coefficient, μ k represents the coefficient of kinetic friction, μ s represents the maximum static friction coefficient, and β is the preset attenuation coefficient;

[0015] The friction energy generated by the contact between the first tread rubber sample and the roller is calculated according to the following formula:

[0016] E=n·μ·F ⊥ ·d slip

[0017] Where n represents the number of contacts, F ⊥ Indicates the normal pressure applied to the first tread rubber sample.

[0018] Optionally, performing a rolling wear test on a second tread rubber material sample corresponding to the tread rubber material includes: obtaining a second tread rubber material sample having the same shape and size as the first tread rubber material sample; and performing a DIN wear test on the second tread rubber material sample based on experimental operating state parameters.

[0019] Optionally, the rubber material property parameters further include density; the experimental results include at least a first mass and a second mass before and after the DIN abrasion test on the second tread rubber material sample; and determining the wear volume of the second tread rubber material sample based on the experimental results includes calculating the wear volume of the second tread rubber material sample according to the following formula:

[0020]

[0021] Wherein, ΔV represents the wear volume, W1 and W2 represent the first mass before and the second mass after the DIN abrasion test of the second tread rubber compound sample, respectively, and ρ represents the density of the second tread rubber compound sample.

[0022] Optionally, determining the wear performance coefficient of the tread rubber material based on the friction energy, the wear volume, and the hardness includes calculating the wear performance coefficient based on the following formula:

[0023]

[0024] Where K represents the wear performance coefficient, ΔV represents the wear volume, H represents the hardness, and E represents the friction energy.

[0025] According to another aspect of the embodiment of the present application, a device for determining parameters of a tire tread rubber material is also provided, comprising: an acquisition module for acquiring multiple groups of rubber material attribute parameters corresponding to multiple tread rubber materials, wherein the rubber material attribute parameters include at least hardness; an index determination module for inputting the rubber material attribute parameters and preset simulation operation state parameters of the tread rubber material into a tire material friction simulation model for performing a friction simulation experiment for each tread rubber material, wherein the tire material friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining the first tread rubber material sample based on the simulation results The invention also provides a method for determining the friction energy generated by the contact between the sample and the roller; performing a rolling wear test on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operating state parameters of the rolling wear test are the same as the simulation operating state parameters; determining the wear volume of the second tread rubber material sample based on the experimental results; determining the wear performance coefficient of the tread rubber material based on the friction energy, the wear volume and the hardness; and a parameter selection module for determining the rubber property parameter with the smallest corresponding wear performance coefficient from multiple groups of rubber property parameters as the target rubber property parameter of the tire to be produced.

[0026] According to another aspect of an embodiment of the present application, a computer program product is further provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the above-mentioned method for determining parameters of a tire tread rubber material is implemented.

[0027] According to another aspect of an embodiment of the present application, an electronic device is provided, comprising: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned tire tread rubber material parameter determination method through the computer program.

[0028] In an embodiment of the present application, first, multiple groups of rubber material property parameters corresponding to multiple tread rubber materials are obtained, wherein the rubber material property parameters include at least hardness; secondly, for each tread rubber material, the rubber material property parameters of the tread rubber material and preset simulation operating state parameters are input into a tire friction simulation model to perform a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; based on the simulation results, the friction energy generated by the contact between the first tread rubber material sample and the roller is determined; a rolling wear experiment is performed on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operating state parameters of the rolling wear experiment are the same as the simulation operating state parameters; based on the experimental results, the wear volume of the second tread rubber material sample is determined; the wear performance coefficient of the tread rubber material is determined based on the friction energy, wear volume and hardness; finally, the rubber property parameter corresponding to the smallest wear performance coefficient is determined from the multiple groups of rubber property parameters as the target rubber property parameter of the tire to be produced. Among them, by combining the friction energy obtained through simulation and the wear volume obtained through actual experiments, the wear performance of different tread rubber compounds can be evaluated more accurately, so that the optimal rubber property parameters can be screened out during the design stage, effectively improving the wear resistance and service life of the tire. This not only saves a lot of cost and time of physical experiments, but also improves the accuracy and efficiency of tire design, thereby solving the technical problem of difficulty in efficiently and accurately determining the wear performance of different tread rubber compounds to guide material selection in tire production scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0030] Figure 1 is a flow chart of an optional method for determining parameters of a tire tread rubber material according to an embodiment of the present application;

[0031] Figure 2 This is a structural diagram of an optional rotating roller abrasion machine according to an embodiment of the present application;

[0032] Figure 3 is a schematic structural diagram of an optional device for determining parameters of a tire tread rubber material according to an embodiment of the present application;

[0033] Figure 4 It is a schematic structural diagram of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in 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 in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0035] It should be noted that the terms "first", "second", etc. in the specification, claims, and drawings of the present application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0036] In order to better understand the embodiments of the present application, some nouns or terms that appear in the description of the embodiments of the present application are first translated and explained as follows:

[0037] ARCHARD Wear Model: The ARCHARD wear model, proposed by British engineer John C. Archard, is a theoretical model for predicting material wear volume. The model posits that during wear, the volume loss of a material is directly proportional to the friction and sliding distance on the contact surface, and inversely proportional to the material's hardness.

[0038] The Akron Abrasion Test is a standard test method for evaluating the degree of material wear, commonly used to test the wear properties of rubber products. The test involves clamping a specimen onto a rotating drum, forcing it into contact with sandpaper or other abrasive material under a certain pressure. The change in mass is measured, and the amount of wear is calculated. While the Akron Abrasion Test is a common testing method in the industry, it is complex, time-consuming, and relatively expensive.

[0039] The DIN abrasion test: Another widely used abrasion test method, originating from the German Institute for Standardization (DIN), is used to evaluate the wear characteristics of rubber materials. The DIN test evaluates a material's wear resistance by measuring the change in mass of a specimen during abrasion under specific pressure and sliding conditions. While the DIN test is considered a faster and more economical option than the Akron test in some industries, its results also rely on precise control of experimental conditions for accurate interpretation.

[0040] The compound abrasion performance parameter is a parameter in the ARCHARD model used to quantify the material's wear resistance. The compound abrasion performance parameter is a constant determined by the material's properties. It reflects the differences in abrasion performance between different materials under the same conditions and is a key indicator for material selection and performance optimization.

[0041] Example 1

[0042] According to an embodiment of the present application, a method for determining parameters of a tire tread material is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0043] Figure 1 FIG. 1 is a flow chart of a method for determining parameters of a tire tread rubber material according to an embodiment of the present application, such as Figure 1 As shown, the method includes the following steps:

[0044] Step S102, obtaining multiple sets of rubber material property parameters corresponding to multiple tread rubber materials, wherein the rubber material property parameters at least include: hardness;

[0045] Step S104: For each tread rubber material, inputting the rubber property parameters and preset simulation operating state parameters of the tread rubber material into a tire friction simulation model to conduct a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results; conducting a rolling wear experiment on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operating state parameters of the rolling wear experiment are the same as the simulation operating state parameters; determining the wear volume of the second tread rubber material sample based on the experimental results; and determining the wear performance coefficient of the tread rubber material based on the friction energy, the wear volume, and the hardness;

[0046] Step S106 , determining the rubber property parameter with the smallest corresponding wear performance coefficient from the multiple groups of rubber property parameters as the target rubber property parameter for the tire to be produced.

[0047] The following describes the various steps of the method for determining parameters of tire tread rubber material in conjunction with a specific implementation process.

[0048] Optionally, in addition to hardness, the rubber material property parameters also include: shear modulus, elastic modulus, Poisson's ratio, kinetic friction coefficient, maximum static friction coefficient and other parameters. Among them, hardness is a measure of the material's ability to resist external force intrusion. For tires, hardness affects the tire's wear resistance, grip and comfort. The shear modulus and elastic modulus reflect the elastic response of the material under shear and tension, respectively, and the Poisson's ratio describes the proportional relationship between the lateral and longitudinal deformation of the material when stretched or compressed. The kinetic friction coefficient and the maximum static friction coefficient represent the friction characteristics of the material in motion and at rest, respectively. By comprehensively considering these parameters, the technical solution of the embodiment of the present application can more comprehensively evaluate the friction and wear characteristics of the tread rubber material, solving the limitations of evaluating tire performance with a single parameter.

[0049] For each tread rubber compound, the following steps are specifically included when determining various indicators:

[0050] Step S1 : inputting the rubber material property parameters of the tread rubber material and the preset simulation operation state parameters into the tire material friction simulation model to perform a friction simulation experiment.

[0051] Among them, the simulated operating state parameters include at least the operating environment, the positive pressure per unit area applied to the tread rubber sample, the rolling speed between the tread rubber sample and the contact plane, and the total contact time. Since environmental factors have a significant impact on the performance of tire materials, in addition to the above-mentioned simulated operating state parameters, simulation environmental parameters such as the temperature and humidity of the operating environment can also be further considered.

[0052] Specifically, a friction simulation experiment can be performed in combination with the rubber material property parameters and the preset simulation operation state parameters. The experimental process can include the following processes: initializing the tire material friction simulation model; substituting the rubber material property parameters of the tread rubber material into the first tread rubber material sample, and configuring the simulation operation state parameters; explicitly loading the tire material friction simulation model to complete the friction simulation experiment.

[0053] Initializing the simulation model is a critical step in ensuring it accurately reflects the actual tire material properties. By substituting rubber property parameters and configuring operating state parameters, the model can simulate the friction and wear process of the tire under specific operating conditions. Explicit loading allows the model to progress gradually over time, capturing the details of each contact, thereby providing more accurate friction energy calculations. This series of simulation steps effectively simulates the friction behavior of tires in actual use, addressing the lack of accurate friction models in traditional designs.

[0054] In addition, loading methods include but are not limited to explicit loading. The model can also adopt implicit loading or other loading strategies to adapt to different types of friction simulation requirements.

[0055] Step S2: determining the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results.

[0056] After the simulation experiment, relevant simulation results can be obtained, wherein the simulation results at least include: the number of contacts between the first tread rubber material sample and the roller, the contact duration and sliding distance of each contact, and the normal pressure applied to the first tread rubber material sample; based on the simulation results, the friction energy generated by the contact between the first tread rubber material sample and the roller can be determined, including:

[0057] Calculate the slip velocity of the first tread rubber sample each time it contacts the roller according to the following formula:

[0058]

[0059] Where, v slip represents the slip velocity, d slip represents the slip distance, Δt represents the contact time; the slip velocity is calculated based on the contact time and slip distance, reflecting the relative movement speed of the material during the contact process.

[0060] Calculate the comprehensive friction coefficient of the first tread rubber sample according to the following formula:

[0061]

[0062] Where, μ represents the comprehensive friction coefficient, μ k represents the coefficient of kinetic friction, μ s represents the maximum static friction coefficient, and β is the preset attenuation coefficient. The comprehensive friction coefficient takes into account the dynamic friction coefficient and the maximum static friction coefficient. The exponential function relationship of the sliding speed more accurately describes the characteristics of the friction coefficient changing with the sliding speed.

[0063] After obtaining the comprehensive friction coefficient, the friction energy generated by the contact between the first tread rubber sample and the roller can be calculated according to the following formula:

[0064] E=n·μ·F ⊥ ·d slip

[0065] Where n represents the number of contacts, F ⊥ represents the normal pressure applied to the first tread rubber sample. The calculation of friction energy combines the number of contacts, friction coefficient, normal pressure and sliding distance to quantify the energy consumption during the friction process.

[0066] Step S3: performing a rolling wear test on the second tread rubber material sample corresponding to the tread rubber material.

[0067] Specifically, when conducting a rolling wear test, the following steps may be performed: selecting a second tread rubber material sample having the same shape and size as the first tread rubber material sample; and conducting a DIN wear test on the second tread rubber material sample based on the experimental operating state parameters.

[0068] The DIN abrasion test is a standardized method for testing tire material wear. It measures the wear of a specimen by rolling it against a wear wheel under specific conditions. In the examples presented here, the experimental operating parameters are consistent with the simulation operating parameters described above. This ensures that the simulation and experiment are conducted under identical conditions, ensuring consistency and accuracy in the evaluation results. This resolves the mismatch between simulation and experimental results in traditional designs.

[0069] In addition to rolling wear tests that can be performed using the DIN abrasion test, other types of wear testing methods, such as the Abbott-Martin abrasion test, can also be used to adapt to different standards or specific testing requirements.

[0070] The rotating roller wear machine can be used as a device for rolling wear experiments. Figure 2 A structural diagram of a rotating roller abrasion machine is shown, in which a sliding arm supports and guides the movement of the sample holder to ensure that the sample can be in smooth contact with the roller during the test. The slide is the track for the movement of the sliding arm, which can ensure that the sample moves in a straight line during the wear test, reducing deviation or shaking to ensure the accuracy of the test results; double-sided tape can be used to fix the sample on the sample holder to ensure that the sample does not slide or fall off during the test, thereby ensuring the consistency of conditions before and after the experiment; emery cloth can be used as an abrasive in contact with the sample in the wear test, and its roughness and material directly affect the degree of wear of the sample. Therefore, the selection and state of the emery cloth are crucial to the experimental results; in addition, the roller, as the core component of the equipment, is the part that is in direct contact with the sample in the wear test. It applies friction to the sample through rotation, simulating the wear process of the tire during actual use.

[0071] Step S4: determining the wear volume of the second tread rubber material sample based on the experimental results.

[0072] After the rolling wear test is completed, the test results generated include at least: the first mass and the second mass of the second tread rubber material sample before and after the DIN wear test. Based on the test results, the wear volume of the second tread rubber material sample can be determined by the following method: the first mass and the second mass of the second tread rubber material sample before and after the DIN wear test; the wear volume of the second tread rubber material sample is calculated according to the formula:

[0073]

[0074] Wherein, ΔV represents the wear volume, W_1 and W_2 represent the first mass of the second tread rubber material sample before and after the DIN abrasion test, respectively, and ρ represents the density of the second tread rubber material sample.

[0075] Furthermore, the density of the second tread rubber material sample involved in the above calculation process can be included in the pre-acquired rubber material property parameters. Density is the mass of a material per unit volume. For tire materials, density affects the tire's weight and energy consumption. By measuring the change in sample mass before and after the experiment and combining it with the material density, the sample's wear volume can be accurately calculated, providing a direct quantitative indicator for tire material wear assessment. Furthermore, calculations for wear volume include, but are not limited to, the aforementioned methods. Other physical or chemical methods can also be used to measure wear volume to accommodate different materials or test conditions.

[0076] Step S5: determining the wear performance coefficient of the tread rubber material according to the friction energy, the wear volume and the hardness.

[0077] Furthermore, determining the wear performance coefficient of the tread rubber material based on the friction energy, wear volume, and hardness may specifically include the following steps:

[0078] The wear performance coefficient is calculated according to the following formula:

[0079]

[0080] Where K represents the wear performance coefficient, ΔV represents the wear volume, H represents the hardness, and E represents the friction energy.

[0081] The calculation of the wear coefficient, a key metric for evaluating tire material wear resistance, comprehensively considers friction energy, wear volume, and material hardness. After determining and calculating the wear coefficient for each tread compound, the compound property parameters with the lowest wear coefficient can be selected from multiple sets of compound properties as the target compound properties for the tire to be produced, ensuring optimal wear resistance. This means reduced wear rate and extended tire life, thereby improving overall tire durability.

[0082] Through the above steps, the rubber property parameters of the tread rubber material and the preset simulation operation state parameters are input into the tire friction simulation model to perform a friction simulation experiment, and the friction energy generated by the contact between the first tread rubber material sample and the roller is determined based on the simulation results; and a rolling wear experiment is performed on the second tread rubber material sample corresponding to the tread rubber material, and the wear volume of the second tread rubber material sample is determined based on the experimental results. On the basis of combining the simulation results and the actual experimental results, the wear performance coefficient of the tread rubber material is determined comprehensively based on the friction energy, wear volume and hardness, so as to guide relevant personnel to select the minimum rubber property parameter from multiple groups of rubber property parameters as the target rubber property parameter of the tire to be produced, thereby achieving an accurate evaluation of the tire tread rubber material wear performance, which not only saves a lot of cost and time of physical experiments, but also improves the accuracy and efficiency of tire design, thereby solving the technical problem of difficulty in efficiently and accurately determining the wear performance of different tread rubber materials for guiding material selection in tire production scenarios.

[0083] Example 2

[0084] According to an embodiment of the present application, a device for determining parameters of a tire tread rubber material is further provided for implementing the method for determining parameters of a tire tread rubber material in embodiment 1, such as Figure 3 As shown, the tire tread rubber material parameter determination device at least includes: an acquisition module 31, an index determination module 32 and a parameter selection module 33, wherein:

[0085] The acquisition module 31 can acquire multiple sets of rubber material property parameters corresponding to multiple tread rubber materials, wherein the rubber material property parameters at least include: hardness;

[0086] The indicator determination module 32 may input the rubber property parameters and preset simulation operation state parameters of the tread rubber material into a tire friction simulation model for each tread rubber material to perform a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determine the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results; perform a rolling wear experiment on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operation state parameters of the rolling wear experiment are the same as the simulation operation state parameters; determine the wear volume of the second tread rubber material sample based on the experimental results; and determine the wear performance coefficient of the tread rubber material based on the friction energy, the wear volume, and the hardness;

[0087] The parameter selection module 33 can determine the rubber property parameter with the smallest corresponding wear performance coefficient from multiple groups of rubber property parameters as the target rubber property parameter for the tire to be produced.

[0088] The functions of the modules of the device for determining parameters of tire tread rubber material are described below in conjunction with a specific implementation process.

[0089] Optionally, the rubber material property parameters acquired by the acquisition module include, in addition to hardness, the following parameters: shear modulus, elastic modulus, Poisson's ratio, kinetic friction coefficient, maximum static friction coefficient, etc. Among them, hardness is a measure of the material's ability to resist external force intrusion. For tires, hardness affects the tire's wear resistance, grip, and comfort. The shear modulus and elastic modulus reflect the elastic response of the material under shear and tension, respectively, and the Poisson's ratio describes the proportional relationship between the lateral and longitudinal deformation of the material when stretched or compressed. The kinetic friction coefficient and the maximum static friction coefficient represent the friction characteristics of the material in motion and at rest, respectively. By comprehensively considering these parameters, the present technical solution can more comprehensively evaluate the friction and wear characteristics of the tread rubber material, solving the limitations of evaluating tire performance with a single parameter.

[0090] For each tread rubber material, the index determination module specifically includes the following steps when determining various indicators:

[0091] In step S1 , the index determination module inputs the rubber property parameters of the tread rubber material and the preset simulation operation state parameters into the tire material friction simulation model to perform a friction simulation experiment.

[0092] Among them, the simulated operating state parameters include at least the operating environment, the positive pressure per unit area applied to the tread rubber sample, the rolling speed between the tread rubber sample and the contact plane, and the total contact time. Since environmental factors have a significant impact on the performance of tire materials, in addition to the above-mentioned simulated operating state parameters, simulation environmental parameters such as the temperature and humidity of the operating environment can also be further considered.

[0093] Specifically, a friction simulation experiment can be performed in combination with the rubber material property parameters and the preset simulation operation state parameters. The experimental process can include the following processes: initializing the tire material friction simulation model; substituting the rubber material property parameters of the tread rubber material into the first tread rubber material sample, and configuring the simulation operation state parameters; explicitly loading the tire material friction simulation model to complete the friction simulation experiment.

[0094] Initializing the simulation model is a critical step in ensuring it accurately reflects the actual tire material properties. By substituting rubber property parameters and configuring operating state parameters, the model can simulate the friction and wear process of the tire under specific operating conditions. Explicit loading allows the model to progress gradually over time, capturing the details of each contact, thereby providing more accurate friction energy calculations. This series of simulation steps effectively simulates the friction behavior of tires in actual use, addressing the lack of accurate friction models in traditional designs.

[0095] In addition, loading methods include but are not limited to explicit loading. The model can also adopt implicit loading or other loading strategies to adapt to different types of friction simulation requirements.

[0096] Step S2: The index determination module determines the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results.

[0097] After the simulation experiment, relevant simulation results can be obtained, wherein the simulation results at least include: the number of contacts between the first tread rubber material sample and the roller, the contact duration and sliding distance of each contact, and the normal pressure applied to the first tread rubber material sample; based on the simulation results, the friction energy generated by the contact between the first tread rubber material sample and the roller can be determined, including:

[0098] Calculate the slip velocity of the first tread rubber sample each time it contacts the roller according to the following formula:

[0099]

[0100] Where, v slip represents the slip velocity, d slip represents the slip distance, Δt represents the contact time; the slip velocity is calculated based on the contact time and slip distance, reflecting the relative movement speed of the material during the contact process.

[0101] Calculate the comprehensive friction coefficient of the first tread rubber sample according to the following formula:

[0102]

[0103] Where, μ represents the comprehensive friction coefficient, μ k represents the coefficient of kinetic friction, μ s represents the maximum static friction coefficient, and β is the preset attenuation coefficient. The comprehensive friction coefficient takes into account the dynamic friction coefficient and the maximum static friction coefficient. The exponential function relationship of the sliding speed more accurately describes the characteristics of the friction coefficient changing with the sliding speed.

[0104] After obtaining the comprehensive friction coefficient, the friction energy generated by the contact between the first tread rubber sample and the roller can be calculated according to the following formula:

[0105] E=n·μ·F ⊥ ·d slip

[0106] Where n represents the number of contacts, F ⊥ represents the normal pressure applied to the first tread rubber sample. The calculation of friction energy combines the number of contacts, friction coefficient, normal pressure and sliding distance to quantify the energy consumption during the friction process.

[0107] Step S3: the index determination module performs a rolling wear test on the second tread rubber material sample corresponding to the tread rubber material.

[0108] Specifically, when conducting a rolling wear test, the following steps may be performed: selecting a second tread rubber material sample having the same shape and size as the first tread rubber material sample; and conducting a DIN wear test on the second tread rubber material sample based on the experimental operating state parameters.

[0109] The DIN abrasion test is a standardized method for testing tire material wear. It measures the wear of a specimen by rolling it against a wear wheel under specific conditions. In the examples presented here, the experimental operating parameters are consistent with the simulation operating parameters described above. This ensures that the simulation and experiment are conducted under identical conditions, ensuring consistency and accuracy in the evaluation results. This resolves the mismatch between simulation and experimental results in traditional designs.

[0110] In addition to rolling wear tests that can be performed using the DIN abrasion test, other types of wear testing methods, such as the Abbott-Martin abrasion test, can also be used to adapt to different standards or specific testing requirements.

[0111] In step S4 , the index determination module determines the wear volume of the second tread rubber material sample based on the experimental results.

[0112] After the rolling wear test is completed, the test results generated include at least: the first mass and the second mass of the second tread rubber material sample before and after the DIN wear test. Based on the test results, the wear volume of the second tread rubber material sample can be determined by the following method: the first mass and the second mass of the second tread rubber material sample before and after the DIN wear test; the wear volume of the second tread rubber material sample is calculated according to the formula:

[0113]

[0114] Wherein, ΔV represents the wear volume, W_1 and W_2 represent the first mass of the second tread rubber material sample before and after the DIN abrasion test, respectively, and ρ represents the density of the second tread rubber material sample.

[0115] Furthermore, the density of the second tread rubber material sample involved in the above calculation process can be included in the pre-acquired rubber material property parameters. Density is the mass of a material per unit volume. For tire materials, density affects the tire's weight and energy consumption. By measuring the change in sample mass before and after the experiment and combining it with the material density, the sample's wear volume can be accurately calculated, providing a direct quantitative indicator for tire material wear assessment. Furthermore, calculations for wear volume include, but are not limited to, the aforementioned methods. Other physical or chemical methods can also be used to measure wear volume to accommodate different materials or test conditions.

[0116] In step S5 , the index determination module determines the wear performance coefficient of the tread rubber material according to the friction energy, the wear volume and the hardness.

[0117] Furthermore, determining the wear performance coefficient of the tread rubber material based on the friction energy, wear volume, and hardness may specifically include the following steps:

[0118] The wear performance coefficient is calculated according to the following formula:

[0119]

[0120] Where K represents the wear performance coefficient, ΔV represents the wear volume, H represents the hardness, and E represents the friction energy.

[0121] The calculation process for the wear performance coefficient, which comprehensively considers friction energy, wear volume, and material hardness, is a key indicator for evaluating tire material wear resistance. After the indicator determination module determines and calculates the wear performance coefficient corresponding to each tread compound, the parameter selection module selects the compound property parameters with the lowest wear performance coefficient from multiple sets of compound property parameters as the target compound property parameters for the tire to be produced, ensuring the tire has optimal wear resistance. This means that the tire's wear rate is reduced during use, its service life is extended, and its overall durability is improved.

[0122] It should be noted that the modules in the device for determining the parameters of the tire tread rubber material in the embodiment of the present application correspond one-to-one to the implementation steps of the method for determining the parameters of the tire tread rubber material in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1 and will not be repeated here.

[0123] Example 3

[0124] According to an embodiment of the present application, a computer program product is further provided. The computer program product includes a computer program, wherein when the computer program is executed by a processor, the method for determining parameters of the tire tread rubber material in Example 1 is implemented.

[0125] According to an embodiment of the present application, a non-volatile storage medium is further provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the tire tread rubber material parameter determination method in Example 1 by running the computer program.

[0126] According to an embodiment of the present application, a processor is further provided, which is used to run a computer program, wherein the computer program executes the tire tread rubber material parameter determination method in Example 1 when running.

[0127] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the tire tread rubber material parameter determination method in Example 1 through the computer program.

[0128] Specifically, the computer program executes the following steps when it is running: obtaining multiple groups of rubber material property parameters corresponding to multiple tread rubber materials, wherein the rubber material property parameters include at least hardness; for each tread rubber material, inputting the rubber material property parameters of the tread rubber material and preset simulation operation state parameters into a tire friction simulation model to perform a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results; performing a rolling wear experiment on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operation state parameters of the rolling wear experiment are the same as the simulation operation state parameters; determining the wear volume of the second tread rubber material sample based on the experimental results; determining the wear performance coefficient of the tread rubber material based on the friction energy, wear volume and hardness; and determining the rubber property parameter with the smallest corresponding wear performance coefficient from the multiple groups of rubber property parameters as the target rubber property parameter of the tire to be produced.

[0129] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 4 FIG1 shows a hardware structure block diagram of an electronic device for implementing a method for determining parameters of tire tread rubber material. Figure 4 As shown, the electronic device 40 may include one or more (402a, 402b, ..., 402n are shown in the figure) processors 402 (the processor 402 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 404 for storing data, and a transmission device 406 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 4 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 4 More or fewer components than shown, or with Figure 4 Different configurations shown.

[0130] It should be noted that the one or more processors 402 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry." The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuitry may be a single, independent processing module, or may be incorporated in whole or in part into any of the other components of the electronic device 40. As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0131] Memory 404 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the tire tread rubber material parameter determination method in the embodiment of the present application. Processor 402 executes various functional applications and data processing by running the software programs and modules stored in memory 404, thereby implementing the vulnerability detection method for the application described above. Memory 404 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 404 may further include memory remotely located relative to processor 402, and these remote memories may be connected to electronic device 40 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0132] Transmission device 406 is used to receive or send data via a network. Specific examples of the aforementioned network may include a wireless network provided by the communications provider of electronic device 40. In one embodiment, transmission device 406 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, transmission device 406 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0133] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 40 .

[0134] The serial numbers of the above embodiments are for description only and do not represent the advantages or disadvantages of the embodiments.

[0135] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0136] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0137] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected to achieve the purpose of the present embodiment according to actual needs.

[0138] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0139] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program code.

[0140] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining parameters of a tire tread rubber material, characterized in that: include: Acquire multiple groups of rubber material property parameters corresponding to multiple tread rubber materials, wherein the rubber material property parameters at least include: hardness; For each tread rubber material, inputting the rubber property parameters and preset simulation operation state parameters of the tread rubber material into a tire friction simulation model to perform a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining the friction energy generated by the contact between the first tread rubber material sample and the roller based on the simulation results; performing a rolling wear experiment on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operation state parameters of the rolling wear experiment are the same as the simulation operation state parameters; determining the wear volume of the second tread rubber material sample based on the experimental results; and determining the wear performance coefficient of the tread rubber material based on the friction energy, the wear volume, and the hardness; The rubber property parameter with the smallest corresponding wear performance coefficient is determined from the multiple groups of rubber property parameters as the target rubber property parameter for the tire to be produced.

2. The method according to claim 1, characterized in that The rubber material property parameters also include: shear modulus, elastic modulus, Poisson's ratio, dynamic friction coefficient, maximum static friction coefficient; The simulation operation state parameters and the experimental operation state parameters include at least: operation environment, normal pressure per unit area applied to the tread rubber sample, rolling speed between the tread rubber sample and the contact plane, and total contact time.

3. The method according to claim 1, characterized in that Inputting the rubber material property parameters of the tread rubber material and the preset simulation operation state parameters into the tire material friction simulation model to perform a friction simulation experiment, including: Initializing the tire material friction simulation model; Substituting the rubber material property parameters of the tread rubber material into the first tread rubber material sample, and configuring the simulation running state parameters; The tire material friction simulation model is explicitly loaded to complete the friction simulation experiment.

4. The method according to claim 2, characterized in that The simulation results include at least: the number of contacts between the first tread rubber material sample and the roller, the contact duration and sliding distance of each contact, and the normal pressure applied to the first tread rubber material sample; Determining friction energy generated by contact between the first tread rubber material sample and the roller based on the simulation results includes: The slip velocity of the first tread rubber material sample each time it contacts the roller is calculated according to the following formula: v slip =d slip / Δt Where, v slip represents the slip velocity, d slip represents the sliding distance, and Δt represents the contact time; The comprehensive friction coefficient of the first tread rubber material sample is calculated according to the following formula: Where, μ represents the comprehensive friction coefficient, μ k represents the coefficient of kinetic friction, μ s represents the maximum static friction coefficient, and β is the preset attenuation coefficient; The friction energy generated by the contact between the first tread rubber sample and the roller is calculated according to the following formula: E=n·µ·F ⊥ ·d slip Where n represents the number of contacts, F ⊥ represents the normal pressure applied to the first tread rubber material sample.

5. The method according to claim 1, wherein Performing a rolling wear test on a second tread rubber material sample corresponding to the tread rubber material, including: Obtaining a second tread rubber material sample having the same shape and size as the first tread rubber material sample; A DIN abrasion test is performed on the second tread rubber material sample based on the experimental operating state parameters.

6. The method according to claim 2, characterized in that The rubber material property parameters also include: density; the experimental results at least include: the first mass and the second mass before and after the DIN abrasion test of the second tread rubber material sample; Determining the wear volume of the second tread rubber material sample based on the experimental results includes: The wear volume of the second tread rubber material sample is calculated according to the following formula: Wherein, ΔV represents the wear volume, W1 and W2 represent the first mass before and the second mass after the DIN wear test of the second tread rubber material sample, respectively, and ρ represents the density of the second tread rubber material sample.

7. The method according to claim 1, characterized in that Determining the wear performance coefficient of the tread rubber material according to the friction energy, the wear volume, and the hardness includes: The wear performance coefficient is calculated according to the following formula: Where K represents the wear performance coefficient, ΔV represents the wear volume, H represents the hardness, and E represents the friction energy.

8. A device for determining parameters of tire tread rubber material, characterized in that: include: An acquisition module is used to acquire multiple groups of rubber material property parameters corresponding to multiple tread rubber materials, wherein the rubber material property parameters at least include: hardness; an index determination module for inputting, for each tread rubber material, rubber property parameters and preset simulation operating state parameters of the tread rubber material into a tire friction simulation model to conduct a friction simulation experiment, wherein the tire friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining, based on the simulation results, friction energy generated by the contact between the first tread rubber material sample and the roller; conducting a rolling wear experiment on a second tread rubber material sample corresponding to the tread rubber material, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and the experimental operating state parameters of the rolling wear experiment are the same as the simulation operating state parameters; determining, based on the experimental results, a wear volume of the second tread rubber material sample; and determining a wear performance coefficient of the tread rubber material according to the friction energy, the wear volume, and the hardness; The parameter selection module is used to determine the rubber property parameter with the smallest corresponding wear performance coefficient from the multiple groups of rubber property parameters as the target rubber property parameter of the tire to be produced.

9. A computer program product, characterized in that include: A computer program, wherein when the computer program is executed by a processor, the method for determining parameters of a tire tread rubber material according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the tire tread rubber material parameter determination method according to any one of claims 1 to 7 through the computer program.

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