A method for quickly predicting tire damage point locations and optimizing tire performance

Abstract

The present application relates to the field of tire manufacturing technology, and in particular to a method for rapidly predicting the location of tire damage points and optimizing tire performance. The method includes obtaining the fatigue life data of the tread, sidewall and bead corresponding to the predetermined horizontal axis position interval according to the selected tire working condition type, and then selecting a more optimal horizontal axis position according to personalized needs; obtaining the tire damage point location corresponding to the minimum fatigue life value based on the selected horizontal axis position and the fatigue life data of the tread, sidewall and bead corresponding to the horizontal axis position; judging whether the minimum fatigue life value of the tire damage point location reaches the tire durability performance standard value, and if not, adjusting the horizontal axis position based on personalized needs until the minimum fatigue life value reaches the standard. Rapid prediction of the tire damage point location and rapid adjustment and optimization of tire durability performance are achieved, thereby improving user experience and improving the overall durability of the tire.

Description

Technical Field

[0001] The present application relates to the technical field of tire manufacturing, and in particular to a method for rapidly predicting the location of tire damage points and optimizing tire performance. Background Art

[0002] The horizontal axis position of the tire is the horizontal position where the maximum width of the tire section is located. It is also the thinnest position of the tire section, that is, the position where the sidewall thickness is the smallest. The design of the horizontal axis position of the tire section is directly related to the durability of the tire under inflation and loading conditions, especially the stress characteristics of the tire shoulder and bead. When the tire is inflated and loaded, its crown, bead and sidewall will expand and deform. Changes in the horizontal axis position of the tire section will affect the deformation characteristics of the tire, and then affect the mechanical properties of the tire.

[0003] The existing tire design takes into account multiple influencing factors, such as tire section width B, curvature radius of the upper sidewall arc, etc., to improve tire durability. However, this method is relatively complex and slow to analyze, and cannot quickly predict the location of tire damage points, or quickly adjust and optimize tire durability. Summary of the invention

[0004] The purpose of this application is to provide a method for quickly predicting the location of tire damage points and optimizing tire performance, so as to achieve rapid prediction of the location of tire damage points, and rapid adjustment and optimization of tire durability, improve user experience and improve the overall durability of the tire.

[0005] The present application provides a method for quickly predicting the location of tire damage points and optimizing tire performance, comprising:

[0006] Step S1, according to the selected tire working condition type, correspondingly obtain the fatigue life data of the tread, sidewall and bead within the predetermined horizontal axis position interval, and then select a better horizontal axis position according to personalized needs;

[0007] Step S2, based on the selected horizontal axis position and the obtained fatigue life data of the tread, sidewall and bead corresponding to the horizontal axis position, obtain the tire damage point position corresponding to the minimum fatigue life value;

[0008] Step S3, determining whether the minimum fatigue life value at the tire damage point position reaches the tire durability performance standard value. If not, adjusting the horizontal axis position based on individual needs until the minimum fatigue life value reaches the standard.

[0009] Furthermore, the horizontal axis X of the tire divides the tire section into an upper sidewall and a lower sidewall, the vertical distance between the horizontal axis X and the center point M of the tread is H1, and the vertical distance between the horizontal axis X and the tire rim contact point C is H2, and the value of ε=H1 / H2 represents the horizontal axis position.

[0010] Furthermore, the tire operating condition types include standard pressure and standard load, standard pressure and high load, standard pressure and low load, high pressure and high load, high pressure and standard load, high pressure and low load, low pressure and high load, low pressure and standard load and low pressure and low load.

[0011] Furthermore, the personalized requirements include tread fatigue life priority requirements, sidewall fatigue life priority requirements and bead fatigue life priority requirements.

[0012] Furthermore, in the step S2, the fatigue life data of the tread, sidewall and bead corresponding to the selected horizontal axis position are displayed in different colors at various positions on the overall tire model in the form of a simulation rendering, so that the position of the tire damage point corresponding to the lowest fatigue life value can be intuitively found.

[0013] Furthermore, the tread includes tread rubber, shoulder rubber and belt layer, the sidewall includes sidewall rubber, inner liner rubber, sidewall filling rubber and carcass, and the tire bead includes wire ring, steel ladle, wire ring rubber, apex rubber and bead protection rubber;

[0014] When the working condition type is standard pressure and standard load, and the horizontal axis position ε is selected as 0.62, the tire damage point is located near the end point of the 0-degree belt layer of the tread;

[0015] When the operating condition type is high pressure and high load, and the horizontal axis position ε is selected as 1.16, the tire damage point is located near the upper apex of the tire bead close to the lower apex.

[0016] Furthermore, in step S1 and step S2, the fatigue life data is displayed in the form of a graph, a table, and / or a simulation rendering, and the table selects multiple representative horizontal axis positions within the predetermined horizontal axis position range, and lists the minimum fatigue life values ​​of the tread, sidewall and bead under the corresponding working condition type.

[0017] Furthermore, the predetermined horizontal axis position interval is between ε=0.5 and 2; and / or

[0018] The multiple representative horizontal axis positions include ε = 0.5, 0.62, 0.72, 0.85, 0.95, 1.16, 1.36 and 1.91.

[0019] Furthermore, when the working condition type is standard pressure and standard load, the ε interval corresponding to the optimal tread fatigue life is 0.6~1.2, wherein the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72, the ε interval corresponding to the optimal sidewall fatigue life is 0.6~1.4, wherein the horizontal axis position ε of the maximum sidewall fatigue life is 0.85, and the ε interval corresponding to the optimal bead fatigue life is 0.5~1.4, wherein the horizontal axis position ε corresponding to the maximum bead fatigue life is 0.95;

[0020] When the working condition type is high pressure and high load, the ε interval corresponding to the optimal tread fatigue life is 0.6~2.0, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72, the ε interval corresponding to the optimal sidewall fatigue life is 0.5~1.4, among which the horizontal axis position ε of the maximum sidewall fatigue life is 0.85, and the ε interval corresponding to the optimal bead fatigue life is 0.5~1.9 and 1.1~2.0, among which the horizontal axis position ε corresponding to the maximum bead fatigue life is 0.62 and 1.36;

[0021] When the operating condition is high pressure and low load, the ε range corresponding to the optimal tread fatigue life is 0.5~0.9, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72, the ε range corresponding to the optimal sidewall fatigue life is 0.5~1.4, among which the horizontal axis position ε of the maximum sidewall fatigue life is 0.62, and the ε range corresponding to the optimal bead fatigue life is 0.6~0.9, among which the horizontal axis position ε corresponding to the maximum bead fatigue life is 0.62.

[0022] Furthermore, the minimum endurance time t = minimum fatigue life value n*cycle / 3600, that is

[0023]

[0024] Among them, the unit of the minimum endurance time t is h, and w is the angular velocity;

[0025] The tire durability performance standard value corresponds to the durability time standard value, and the minimum durability time t is compared with the durability time standard value for judgment.

[0026] Compared with the prior art, the method provided by the present application for quickly predicting the location of tire damage points and optimizing tire performance is to first select a more optimal horizontal axis position based on the tire operating condition type (such as standard pressure and load, high pressure and high load, or high pressure and low load) and personalized needs (such as tread, sidewall or bead fatigue life priority needs) and the corresponding tread, sidewall and bead fatigue life data generated within a predetermined horizontal axis position range, and then retrieve the corresponding tread, sidewall and bead fatigue life data based on the selected horizontal axis position, and directly find the tire damage point location based on the data to find the lowest fatigue life value, that is, quickly predict the tire damage point location based on the horizontal axis position; then determine the tire damage point location. Whether the minimum fatigue life value reaches the standard value of tire durability performance, if it does, no adjustment is required, if it does not, adjust the horizontal axis position based on personalized needs, specifically according to the data trend, to ensure personalized needs, that is, to ensure that the fatigue life of the tread, sidewall or bead is prioritized, adjust the horizontal axis position to increase the minimum fatigue life value until it reaches the standard value of tire durability performance, then the adjusted horizontal axis position is the optimal horizontal axis position, to ensure the best fatigue life of the preferred parts (tread, sidewall or bead) while ensuring the fatigue life of the entire tire, that is, to ensure the overall durability of the tire on the basis of ensuring the tire durability of the preferred parts.

[0027] Reasonable horizontal axis position design can effectively disperse the force on the tire, ensure that the tire is evenly stressed during driving, avoid stress concentration at the tire shoulder or bead, reduce the risk of damage to the shoulder and bead, thereby extending the tire's service life and improving the tire's durability. Therefore, by adjusting the horizontal axis position, the entire tire force distribution and the tire's durability can be adjusted. By judging and adjusting this data, the location of the tire damage point can be quickly predicted, and the tire's durability can be quickly and efficiently optimized, improving user experience and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0029] Figure 1 A schematic diagram of a tire cross-section structure provided in an embodiment of the present application;

[0030] Figure 2 A data curve diagram of fatigue life of the tread, sidewall and bead under standard pressure and load conditions provided in the embodiment of the present application;

[0031] Figure 3 A data curve diagram of tread fatigue life under standard pressure and load conditions provided in an embodiment of the present application;

[0032] Figure 4 A data curve diagram of fatigue life of the tread, sidewall and bead under high pressure and high load conditions provided in the embodiment of the present application;

[0033] Figure 5 A data curve diagram of tread fatigue life under high pressure and high load conditions provided in an embodiment of the present application;

[0034] Figure 6 A data curve diagram of tire bead fatigue life under high pressure and high load conditions provided in an embodiment of the present application;

[0035] Figure 7 A data curve diagram of fatigue life of tread, sidewall and bead under high pressure and low load conditions provided in the embodiment of the present application;

[0036] Figure 8 A data curve diagram of tread fatigue life under high pressure and low load conditions provided in an embodiment of the present application;

[0037] Fig. 9 A simulation effect diagram of fatigue life data of various parts of a tire provided in an embodiment of the present application;

[0038] Fig.10 A simulation effect diagram of fatigue life data of various parts of a tire provided in another embodiment of the present application;

[0039] Fig.11 A flow chart of a method for rapidly predicting tire damage point locations and optimizing tire performance provided in an embodiment of the present application.

[0040] Reference numerals:

[0041] 10-tread; 20-sidewall; 30-bead. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0043] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0044] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0045] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the application is usually placed when in use. They are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0046] In addition, the terms "horizontal", "vertical", "overhanging" and the like do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0047] In the description of this application, it should also be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0048] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0049] like Figures 1 to 11 As shown, the embodiment of the present application provides a method for quickly predicting the location of tire damage points and optimizing tire performance, including:

[0050] Step S1, select a more optimal horizontal axis position, and according to the selected tire operating condition type, obtain the fatigue life data of the tread 10, sidewall 20 and bead 30 corresponding to the predetermined horizontal axis position range, and then select a more optimal horizontal axis position according to personalized needs.

[0051] Among them, according to the maximum tire pressure and maximum load that the tire can withstand, the tire operating condition type may specifically include standard pressure and standard load, standard pressure and high load, standard pressure and low load, high pressure and high load, high pressure and standard load, high pressure and low load, low pressure and high load, low pressure and standard load and low pressure and low load. The tire operating condition type can be selected according to the needs of the tire application scenario. The embodiment of the present application takes the three more typical types of standard pressure and standard load, high pressure and high load and high pressure and low load as examples for specific illustrative explanation.

[0052] Personalized needs may include tread fatigue life priority needs, sidewall fatigue life priority needs and bead fatigue life priority needs. Personalized needs can be further refined and selected based on the customer or tire application scenario demand preferences, such as whether it is necessary to prioritize the horizontal axis position in the optimal range of tread fatigue life, the horizontal axis position in the optimal range of sidewall fatigue life, or the horizontal axis position in the optimal range of bead fatigue life, so as to more appropriately determine the better horizontal axis position according to actual needs, improve user experience and ensure optimized tire durability performance.

[0053] Step S2, based on the selected horizontal axis position and the fatigue life data of the tread 10, the sidewall 20 and the bead 30 corresponding to the horizontal axis position, the tire damage point position corresponding to the minimum fatigue life value is obtained, so that the customer can quickly and intuitively understand which part of the tire has the lowest fatigue life;

[0054] Step S3, judging whether the minimum fatigue life value of the tire damage point position reaches the tire durability performance standard value. If it reaches the standard, the tire damage point will not affect the durability performance of the entire tire, and the durability performance of the entire tire reaches the standard and can be guaranteed. If it does not reach the standard, the horizontal axis position is adjusted based on personalized needs until the minimum fatigue life value reaches the standard, thereby ensuring both the tire durability performance of the preferred priority position and the overall tire durability performance.

[0055] Among them, Figure 1 As shown, the tread 10 may include tread rubber, shoulder rubber and belt layer, the sidewall 20 may include sidewall rubber, inner liner rubber, sidewall filling rubber and carcass, and the bead 30 may include wire ring, steel ladle, wire ring rubber, apex rubber (specifically including upper apex rubber and lower apex rubber) and bead rubber. In step S2, the simulation effect diagram (such as Fig. 9 and Fig.10) can intuitively and detailedly understand which specific position of the tire is the damage point, whether it is the tread 10, the sidewall 20 or the bead 30.

[0056] Generally speaking, customers or application scenarios with different requirements for the three tire parts: tread 10, sidewall 20 and bead 30 are: roads with high requirements for tire tread durability are generally: such as uneven roads, urban buffer zones, etc.; roads with high requirements for tire sidewall durability are generally: such as bumpy roads, roads with frequent braking, and the sidewall may be bent and squeezed; roads with high requirements for tire bead durability are generally: such as rugged mountain roads, industrial roads, etc.

[0057] Compared with the prior art, the method for quickly predicting the location of a tire damage point and optimizing tire performance provided in the embodiment of the present application is to first select a preferred horizontal axis position based on the tire operating condition type (such as standard pressure and standard load, high pressure and high load, or high pressure and low load) and personalized needs (such as tread, sidewall or bead fatigue life priority needs) and the generated corresponding tread, sidewall and bead fatigue life data within a predetermined horizontal axis position interval, and then retrieve the corresponding tread, sidewall and bead fatigue life data based on the selected horizontal axis position, and find the tire damage point location corresponding to the minimum fatigue life value based on the data, that is, quickly predict the tire damage point location based on the horizontal axis position; then determine whether the minimum fatigue life value of the tire damage point location reaches the tire durability performance standard value. If it reaches the standard, no adjustment is required. If it does not reach the standard, the horizontal axis position is adjusted based on personalized needs. Specifically, it can be adjusted based on the data trend (such as based on Figures 2 to 8 The data curve shown in the figure can be used for intuitive judgment to ensure personalized needs, that is, to ensure the priority of fatigue life of tread, sidewall, bead or the whole tire, that is, the adjusted horizontal axis position is ensured to be within the optimal horizontal axis position range of the preferred demand part, and the horizontal axis position is adjusted according to the data trend to increase the minimum fatigue life value until the tire durability performance standard value is reached. The adjusted horizontal axis position is the optimal horizontal axis position, which ensures the best priority fatigue life of the preferred part (tread, sidewall or bead) while ensuring the fatigue life of the whole tire, that is, on the basis of ensuring the tire durability performance of the preferred priority part, the overall durability of the tire is guaranteed.

[0058] Reasonable horizontal axis position design can effectively disperse the force on the tire, ensure that the tire is evenly stressed during driving, avoid stress concentration at the tire shoulder or bead, reduce the risk of damage to the shoulder and bead, thereby extending the tire's service life and improving the tire's durability. Therefore, by adjusting the horizontal axis position, the entire tire force distribution and the tire's durability can be adjusted. By judging and adjusting this data, the location of the tire damage point can be quickly predicted, and the tire's durability can be quickly and efficiently optimized, improving user experience and market competitiveness.

[0059] like Figure 1 As shown, the horizontal axis X of the tire divides the tire section into the upper sidewall and the lower sidewall. The vertical distance between the horizontal axis X and the center point M of the tread is H1, and the vertical distance between the horizontal axis X and the tire rim contact point C is H2. The value of ε=H1 / H2 represents the horizontal axis position. In this way, the horizontal axis position can be directly and clearly indicated, which is convenient for overall quick analysis.

[0060] Based on this, the predetermined horizontal axis position interval in step S1 can be determined after selecting the tire operating condition type, based on a larger range of horizontal axis position intervals. For example, in the embodiment of the present application, ε=0.5~2 is used as the predetermined horizontal axis position interval to obtain the corresponding fatigue life data of the tread, sidewall and bead. The fatigue life data can be intuitively displayed in the form of curve graphs, tables, simulation effect diagrams, etc. For example, in the form of tables, multiple representative horizontal axis positions within the predetermined horizontal axis position interval can be selected, such as ε=0.5, 0.62, 0.72, 0.85, 0.95, 1.16, 1.36 and 1.91, etc., as shown in Table 1 below. The minimum fatigue life values ​​of the tread, sidewall and bead under the corresponding operating condition types are listed accordingly, and the minimum fatigue life value of the tire as a whole can be directly found therefrom, and the corresponding tire position is the tire damage point position.

[0061] Table 1:

[0062]

[0063] From Table 1 and Figures 2 to 8 It can be seen that when the operating condition type is standard pressure and standard load, the ε range corresponding to the optimal tread fatigue life is 0.6~1.2, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72. If the standard pressure and standard load operating condition is selected, and personalized needs are the priority needs for tread fatigue life, then the optimal horizontal axis position can be selected as ε 0.72. Of course, other values ​​within the optimal range can also be selected.

[0064] It can also be known that the ε range corresponding to the optimal sidewall fatigue life is 0.6~1.4, among which the maximum horizontal axis position ε of the sidewall fatigue life is 0.85. If the standard pressure and load conditions are selected, and personalized needs are the priority demand for sidewall fatigue life, then the optimal horizontal axis position can be selected as ε 0.85. Of course, other values ​​within the optimal range can also be selected.

[0065] It can also be known that the ε range corresponding to the optimal tire bead fatigue life is 0.5~1.4, among which the horizontal axis position ε corresponding to the maximum tire bead fatigue life is 0.95. If the standard pressure and load conditions are selected, and personalized needs are the priority requirements for tire bead fatigue life, the optimal horizontal axis position can be selected as ε 0.95. Of course, other values ​​within the optimal range can also be selected.

[0066] Similarly, when the operating condition is high pressure and high load, the ε range corresponding to the optimal tread fatigue life is 0.6~2.0, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72. If the high pressure and high load operating condition is selected, and personalized needs are the priority demand for tread fatigue life, the optimal horizontal axis position can be selected as ε 0.72. Of course, other values ​​within the optimal range can also be selected.

[0067] The ε range corresponding to the optimal sidewall fatigue life is 0.5~1.4, among which the maximum horizontal axis position ε of the sidewall fatigue life is 0.85. If the sidewall fatigue life is prioritized under high pressure and high load conditions, the optimal horizontal axis position can be selected as ε 0.85. Of course, other values ​​within the optimal range can also be selected.

[0068] The ε range corresponding to the optimal tire bead fatigue life is 0.5~1.9 and 1.1~2.0, among which the horizontal axis position ε corresponding to the maximum tire bead fatigue life is 0.62 and 1.36. If the personalized demand is given priority to the tire bead fatigue life under high pressure and high load conditions, the optimal horizontal axis position can be selected with ε of 0.62 or 1.36. Of course, other values ​​within the optimal range can also be selected.

[0069] Similarly, when the operating condition is high pressure and low load, the ε range corresponding to the optimal tread fatigue life is 0.5~0.9, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72. If the high pressure and low load operating condition is selected, and personalized needs are the priority demand for tread fatigue life, the optimal horizontal axis position can be selected as ε 0.72. Of course, other values ​​within the optimal range can also be selected.

[0070] The ε range corresponding to the optimal sidewall fatigue life is 0.5~1.4, among which the maximum horizontal axis position ε of the sidewall fatigue life is 0.62. If the high pressure and low load conditions are selected, and the personalized demand is the priority demand for the sidewall fatigue life, the optimal horizontal axis position can be selected as ε 0.62. Of course, other values ​​within the optimal range can also be selected.

[0071] The ε range corresponding to the optimal tire bead fatigue life is 0.6~0.9, among which the horizontal axis position ε corresponding to the maximum tire bead fatigue life is 0.62. If the high pressure and low load working conditions are selected, and the personalized demand is the priority demand for tire bead fatigue life, the optimal horizontal axis position can be selected as ε 0.62. Of course, other values ​​within the optimal range can also be selected.

[0072] The above method can be used to obtain the optimal horizontal axis position in step S1, and then the optimal horizontal axis position can be used to further find the position of the minimum fatigue life value under the optimal horizontal axis position. For example, under the standard pressure and load conditions, when ε is 0.72, the minimum tread fatigue life value is also the lowest value among the minimum fatigue life values ​​of the tread, sidewall and bead, that is, the tire damage point is still on the tread, but the specific position of the tread can be determined by Fig. 9 or Fig.10 This simulation effect diagram is displayed, and it can be displayed in different colors at different positions on the overall tire model, so that the position of the tire damage point corresponding to the minimum fatigue life value can be intuitively found.

[0073] A specific embodiment is as follows Fig. 9 As shown in the figure, the fatigue life data simulation effect diagram of various parts of the tire under standard pressure and load conditions is selected with the horizontal axis position ε being 0.62. It can be seen intuitively that the tire damage point is located near the end point of the 0-degree belt layer of the tread.

[0074] Another specific embodiment is, Fig.10 As shown, under high pressure and high load conditions, when the horizontal axis position ε is selected as 1.16, the tire damage point is located near the upper apex of the tire bead close to the lower apex.

[0075] In step S3, after finding the specific tire damage point location, it is necessary to determine whether the minimum fatigue life value of the tire damage point location meets the tire durability performance standard value. If it meets the standard, no adjustment is required. If it does not meet the standard, the horizontal axis position needs to be adjusted based on personalized needs. At this time, if Figures 2 to 8 As shown, according to the data trend of the curve chart of the fatigue life data of the tread, sidewall and bead corresponding to the selected horizontal axis position ε, ε can be fine-tuned to increase or decrease, under the premise of ensuring the priority tread or sidewall or bead fatigue life requirements, until the standard value of the tire durability performance is reached, thereby ensuring the best priority fatigue life of the preferred parts (tread, sidewall or bead) while ensuring the fatigue life of the entire tire, that is, ensuring the overall durability of the tire on the basis of ensuring the tire durability performance of the preferred priority parts.

[0076] For example, under standard pressure and load conditions, if the sidewall fatigue life is prioritized, the optimal horizontal axis position can be selected as ε0.85. Correspondingly, the minimum tread fatigue life (7.401E+05) is the lowest fatigue life of the tread, sidewall, and bead, and the tire damage point is located on the tread.

[0077] The standard value of tire durability performance is determined according to tire specifications. For example, the national standard stipulates that the standard value of durability time in the durability test of truck tires is ≥47h. For truck tires, the standard value of durability performance can be the standard value of durability time, or it can be the minimum fatigue life standard value converted from the standard value of durability time according to the following formula.

[0078] Minimum endurance time t = minimum fatigue life value n*cycle / 3600, that is, the formula:

[0079]

[0080] Among them, the unit of the minimum endurance time t is h, and w is the angular velocity;

[0081] One comparison method is to first use the formula to obtain the minimum fatigue life standard value corresponding to the endurance time standard value, and then compare the minimum fatigue life value corresponding to the tire damage point with the minimum fatigue life standard value to see if they meet the standard; another comparison method is to first use the formula to obtain the minimum endurance time of the minimum fatigue life value corresponding to the tire damage point, and then compare it with the endurance time standard value (such as 47h).

[0082] If the standard is met, no adjustment is required, and ε is 0.85, which is the optimal horizontal axis position in this embodiment. Figure 2 and Figure 3 It can be seen that ε is fine-tuned to reduce. Figure 2 , Figure 4 and Figure 7 The three curves of the three parts under three working conditions are shown in the overall curve graph. Due to the large difference in fatigue life values, the trend of one or more curves is not obvious. Therefore, the curve with unclear trend in the overall graph is displayed separately in another curve graph, such as Figure 3 , Figure 5 , Figure 6 and Figure 8 , so that you can understand the data trend more intuitively and clearly.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for rapidly predicting the location of tire damage points and optimizing tire performance, characterized in that: include: Step S1, according to the selected tire working condition type, correspondingly obtain the fatigue life data of the tread, sidewall and bead within a predetermined horizontal axis position interval, and then select a better horizontal axis position according to personalized needs, wherein the personalized needs include tread fatigue life priority needs, sidewall fatigue life priority needs and bead fatigue life priority needs; Step S2, based on the selected horizontal axis position and the obtained fatigue life data of the tread, sidewall and bead corresponding to the horizontal axis position, obtain the specific position of the tread, sidewall or bead corresponding to the minimum fatigue life value, that is, the tire damage point position; Step S3, determining whether the minimum fatigue life value at the tire damage point position reaches the tire durability performance standard value. If not, adjusting the horizontal axis position based on individual needs until the minimum fatigue life value reaches the standard.

2. The method for rapidly predicting tire damage point locations and optimizing tire performance according to claim 1, characterized in that: The horizontal axis X of the tire divides the tire section into an upper sidewall and a lower sidewall. The vertical distance between the horizontal axis X and the center point M of the tread is H1, and the vertical distance between the horizontal axis X and the tire rim contact point C is H2. The value of ε=H1 / H2 represents the horizontal axis position.

3. The method for rapidly predicting tire damage point locations and optimizing tire performance according to claim 2, characterized in that: The tire operating condition types include standard pressure and standard load, standard pressure and high load, standard pressure and low load, high pressure and high load, high pressure and standard load, high pressure and low load, low pressure and high load, low pressure and standard load and low pressure and low load.

4. The method for rapidly predicting the location of tire damage points and optimizing tire performance according to claim 2 or 3, characterized in that: In step S2, the fatigue life data of the tread, sidewall and bead corresponding to the selected horizontal axis position are displayed in different colors at different positions on the overall tire model in the form of a simulation rendering, so that the tire damage point position corresponding to the lowest fatigue life value can be intuitively found.

5. The method for rapidly predicting tire damage point locations and optimizing tire performance according to claim 4, characterized in that: The tread includes tread rubber, shoulder rubber and belt layer, the sidewall includes sidewall rubber, inner liner rubber, sidewall filling rubber and carcass, and the tire bead includes wire ring, steel ladle, wire ring rubber, apex rubber and bead protection rubber; When the working condition type is standard pressure and standard load, and the horizontal axis position ε is selected as 0.62, the tire damage point is located near the end point of the 0-degree belt layer of the tread; When the operating condition type is high pressure and high load, and the horizontal axis position ε is selected as 1.16, the tire damage point is located near the upper apex of the tire bead close to the lower apex.

6. The method for rapidly predicting the location of tire damage points and optimizing tire performance according to claim 2 or 3, characterized in that: In step S1 and step S2, the fatigue life data is displayed in the form of a curve graph, a table, and / or a simulation effect diagram. The table selects multiple representative horizontal axis positions within the predetermined horizontal axis position range, and lists the minimum fatigue life values ​​of the tread, sidewall and bead under the corresponding working condition type.

7. The method for rapidly predicting tire damage point locations and optimizing tire performance according to claim 6, characterized in that: The predetermined horizontal axis position interval is ε=0.5~2; and / or The multiple representative horizontal axis positions include ε = 0.5, 0.62, 0.72, 0.85, 0.95, 1.16, 1.36 and 1.

91.

8. The method for rapidly predicting tire damage point locations and optimizing tire performance according to claim 7, characterized in that: When the working condition type is standard pressure and standard load, the ε interval corresponding to the tread fatigue life is 0.6~1.2, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72, the ε interval corresponding to the sidewall fatigue life is 0.6~1.4, among which the horizontal axis position ε of the maximum sidewall fatigue life is 0.85, and the ε interval corresponding to the tire bead fatigue life is 0.5~1.4, among which the horizontal axis position ε corresponding to the maximum tire bead fatigue life is 0.95; When the working condition type is high pressure and high load, the ε range corresponding to the tread fatigue life is 0.6~2.0, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72, the ε range corresponding to the sidewall fatigue life is 0.5~1.4, among which the horizontal axis position ε of the maximum sidewall fatigue life is 0.85, and the ε range corresponding to the bead fatigue life is 0.5~1.9 and 1.1~2.0, among which the horizontal axis position ε corresponding to the maximum bead fatigue life is 0.62 and 1.36; When the operating condition is high pressure and low load, the ε range corresponding to the tread fatigue life is 0.5~0.9, among which the horizontal axis position ε corresponding to the maximum tread fatigue life is 0.72, the ε range corresponding to the sidewall fatigue life is 0.5~1.4, among which the horizontal axis position ε of the maximum sidewall fatigue life is 0.62, and the ε range corresponding to the bead fatigue life is 0.6~0.9, among which the horizontal axis position ε corresponding to the maximum bead fatigue life is 0.

62.

9. The method for rapidly predicting tire damage point locations and optimizing tire performance according to claim 1, characterized in that: Minimum endurance time t = minimum fatigue life value n*cycle / 3600, that is Among them, the unit of the minimum endurance time t is h, and w is the angular velocity; The tire durability performance standard value corresponds to the durability time standard value, and the minimum durability time t is compared with the durability time standard value for judgment.

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