Engineering tire bead part delamination detection method, device, medium and system

Abstract

The invention provides a method, a device, a medium and a system for detecting delamination of an engineering tire bead part. The method comprises the following steps: determining a first load and a second load, and constructing a tire model with material parameters of each part in a vehicle; based on the current real turning radius and different preset tire cornering rigidities, performing tire stress deformation simulation on the tire model to obtain a plurality of stress simulation results; determining that the target dependent variable is one of all stress simulation results, determining that the delamination parameter threshold at least comprises the target dependent variable, and applying the delamination parameter threshold to the detection process of ring delamination of the engineering tire of the vehicle, therefore, compared with an existing scheme, the method has the advantages that the corresponding threshold value can be set by simulating the tire, so that the problem that the parameter threshold value does not conform to the actual working condition due to the fact that the parameter threshold value for detecting the delamination of the ring part is only set through experience in the existing scheme is solved; and therefore, the detection accuracy of the delamination of the ring part is relatively low.

Description

Technical Field

[0001] The present application relates to the technical field of tire computer design simulation, and in particular to a method, device, medium and system for detecting delamination of an engineering tire bead portion. Background Art

[0002] With the increase in open-pit mining and the development of engineering machinery, the rated loads of mining vehicles such as wide-body dump trucks and rigid dump trucks are getting larger and larger, and the air pressure and load of the engineering tires they carry are also increasing. The bead area of ​​the engineering tire is composed of different parts and materials such as rubber core, wear-resistant rubber and skeleton materials such as bead, carcass, steel wire reinforcement layer, and nylon reinforcement layer. After long-term high-pressure and high-load operation, the deformation of the bead area increases, and the steel skeleton materials such as carcass and steel wire reinforcement layer, and the skeleton materials and adjacent rubber are subject to interlayer shear of varying sizes. The combined influence of cyclic shear and temperature causes the risk of delamination between the skeleton material and the rubber. In severe cases, a tire blowout occurs, affecting the progress of excavation and even causing personal and property losses.

[0003] Most existing solutions use indoor durability tests and on-site road tests to determine whether the ring delamination problem has occurred. Among them, indoor experiments cannot reproduce the operating conditions of mine slopes and bends, and it is difficult to conduct specific tests on specific mines. The on-site road test business process is complicated and involves many departments. If the ring delamination occurs, it needs to be returned for redesign and manufacturing, which is time-consuming and labor-intensive.

[0004] However, the existing scheme for determining the parameter threshold for detecting bead delamination is only set through experience, which results in the parameter threshold not being in line with the actual working conditions, thereby making the accuracy of bead delamination detection low. Summary of the invention

[0005] The main purpose of the present application is to provide a method, device, medium and system for detecting delamination of an engineering tire bead, so as to at least solve the problem that the existing scheme for determining the parameter threshold for detecting bead delamination is only set through experience, resulting in the parameter threshold not conforming to the actual working conditions, thereby resulting in low accuracy of bead delamination detection.

[0006] In order to achieve the above object, according to one aspect of the present application, a method for detecting delamination of an engineering bead portion is provided, the method comprising:

[0007] Acquire an initial data set of an engineering tire of a vehicle, and determine a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration, and a total vehicle weight, wherein the first distance is a distance from a rear axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the second distance is a distance from a front axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the current vertical height is a vertical height from the center of gravity to a wheel surface, the first load is a load on a load-bearing wheel of the vehicle that increases due to a downhill slope, and the second load is a load on a guide wheel of the vehicle that increases due to a downhill slope;

[0008] constructing a tire model according to the first load, the second load, and material parameters of each component in the vehicle;

[0009] Based on the current real turning radius and different preset tire cornering stiffnesses, the tire model is subjected to tire force deformation simulation to obtain a plurality of force simulation results, each of which includes a strain of the tire model;

[0010] The target strain is determined to be one of all the force simulation results, and a delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the engineering tire of the vehicle.

[0011] Optionally, determining a first load according to the initial data set includes:

[0012] according to

[0013] Determine the first load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z1 is the first load, l=a1+a2, a1 is the first distance, a2 is the second distance, h is the current vertical height, and a is the vehicle driving acceleration.

[0014] Optionally, determining a second load according to the initial data set includes:

[0015] according to

[0016] Determine the second load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z2 is the second load, l=a1+a2, a1 is the first distance, a2 is the second distance, h is the current vertical height, and a is the vehicle driving acceleration.

[0017] Optionally, determining the target strain amount to be one of all the force simulation results includes:

[0018] The target strain is determined to be the minimum value of all the force simulation results.

[0019] Optionally, each of the force simulation results includes a stress corresponding to the strain amount, and before determining the target strain amount to be one of all the force simulation results, the method further includes:

[0020] Performing a temperature simulation on each of the force simulation results to obtain a plurality of temperature simulation results, each of the temperature simulation results including the temperature of the tire model;

[0021] A temperature-strain mapping relationship is constructed, wherein the temperature-strain mapping relationship is a mapping relationship between the temperature of the tire model of the temperature simulation result and the strain of the tire model, and the temperature-strain mapping relationship includes multiple groups of mapping data groups, each group of the mapping data groups includes a temperature of the tire model and the corresponding strain of the tire model.

[0022] Optionally, determining the target strain amount to be one of all the force simulation results includes:

[0023] When the temperature of the tire model and the strain amount of the tire model in the target mapping data set are both corresponding minimum values, determining the target strain amount to be the strain amount of the tire model in the target mapping data set, and determining the target temperature to be the temperature of the tire model in the target mapping data set;

[0024] When the strain amount of the tire model in the target mapping data set is a corresponding minimum value and the temperature of the tire model in the target mapping data set is not a corresponding minimum value, arranging the strain amounts of all the tire models in descending order to obtain a strain amount sequence;

[0025] The strain amount of the tire model is traversed from small to large until the temperature corresponding to the strain amount of the current tire model is the corresponding minimum value, the target strain amount is determined to be the strain amount of the current tire model, and the target temperature is determined to be the temperature corresponding to the strain amount of the current tire model.

[0026] Optionally, determining the delamination parameter threshold at least including the target strain amount comprises:

[0027] Determining a delamination parameter threshold includes the target strain amount and the target temperature.

[0028] According to another aspect of the present application, a device for detecting delamination of an engineering bead portion is provided, the device comprising:

[0029] an acquisition unit, configured to acquire an initial data set of an engineering tire of a vehicle, and determine a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration, and a vehicle gross weight, wherein the first distance is a distance from a rear axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the second distance is a distance from a front axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the current vertical height is a vertical height from the center of gravity to a wheel surface, the first load is a load on a load-bearing wheel of the vehicle increased due to a downhill slope, and the second load is a load on a guide wheel of the vehicle increased due to a downhill slope;

[0030] a construction unit, configured to construct a tire model according to the first load, the second load, and material parameters of each component in the vehicle;

[0031] A first processing unit is used to perform tire force deformation simulation on the tire model based on the current real turning radius and different preset tire cornering stiffnesses to obtain a plurality of force simulation results, each of which includes a strain of the tire model;

[0032] The second processing unit is used to determine the target strain value as one of all the force simulation results, and determine that the delamination parameter threshold value at least includes the target strain value, and apply the delamination parameter threshold value to the detection process of the bead delamination of the engineering tire of the vehicle.

[0033] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described.

[0034] According to another aspect of the present application, a system for detecting delamination of an engineering tire bead portion is provided, the system comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the described methods.

[0035] By applying the technical solution of the present application, the first load and the second load are determined according to the initial data set of the vehicle engineering tire, namely the first distance, the second distance, the current vertical height, the slope of the ramp, the vehicle driving acceleration and the total weight of the vehicle, and a tire model is constructed with the material parameters of each component in the vehicle; based on the current real turning radius and different preset tire lateral stiffnesses, the tire model is subjected to tire force and deformation simulation to obtain multiple force simulation results; the target strain is determined to be one of all the force simulation results, and the delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the vehicle's engineering tire, so that compared with the existing solution, the present application can set the corresponding threshold by simulating the tire, thereby solving the problem that the existing solution is only set by experience in determining the parameter threshold for detecting bead delamination, resulting in the parameter threshold not conforming to the actual working conditions, thereby resulting in low accuracy of bead delamination detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0037] Figure 1 A schematic flow chart of a method for detecting delamination of an engineering tire bead portion provided according to an embodiment of the present application is shown;

[0038] Figure 2 A schematic diagram of the forces acting on a vehicle when going downhill according to an embodiment of the present application is shown;

[0039] Figure 3 A schematic diagram showing shear strain variation of a unit on a steel wire reinforcement layer of a tire in different three-dimensional cross sections according to an embodiment of the present application is shown;

[0040] Figure 4 A schematic flow chart of another method for detecting delamination of an engineering tire bead portion provided according to an embodiment of the present application is shown;

[0041] Figure 5 A structural block diagram of a device for detecting delamination of an engineering tire bead portion provided according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0042] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0043] In order to enable those skilled in the art to better understand the solution of the present application, 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 only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0044] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings 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 interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations 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.

[0045] As introduced in the background technology, in the prior art, indoor durability tests and on-site road tests are often used to determine whether the bead delamination problem occurs. Among them, indoor experiments cannot reproduce the use conditions of mine slopes and bends, and it is difficult to conduct specific tests on specific mines. The on-site road test business process is complicated and involves many departments. After the bead delamination occurs, it is necessary to return to redesign and manufacture, which is time-consuming and labor-intensive. In the existing scheme, the parameter threshold for detecting bead delamination is determined only through experience. In order to solve the problem that the parameter threshold for detecting bead delamination is determined only through experience, resulting in the parameter threshold not conforming to the actual working conditions, thereby making the accuracy of bead delamination detection low, the embodiments of the present application provide a method, device, medium and system for detecting bead delamination of an engineering tire.

[0046] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0047] In this embodiment, a method for detecting delamination of an engineering tire bead portion 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.

[0048] Figure 1 FIG. 1 is a flow chart of a method for detecting delamination of an engineering tire bead portion according to an embodiment of the present application. Figure 1As shown, the method comprises the following steps:

[0049] Step S101, obtaining an initial data set of an engineering tire of a vehicle, and determining a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration, and a vehicle gross weight, wherein the first distance is a distance from a rear axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the second distance is a distance from a front axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the current vertical height is a vertical height from the center of gravity to a wheel surface, the first load is a load on a load-bearing wheel of the vehicle increased due to a downhill slope, and the second load is a load on a guide wheel of the vehicle increased due to a downhill slope;

[0050] Specifically, the implementation method of determining the first load and the second load according to the above initial data set in step S101 is:

[0051] According to the first formula:

[0052]

[0053] Determine the first load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z1 is the above-mentioned first load, l=a1+a2, a1 is the above-mentioned first distance, a2 is the above-mentioned second distance, h is the above-mentioned current vertical height, and a is the above-mentioned vehicle driving acceleration.

[0054] By comprehensively considering multiple physical parameters to accurately determine the first load, it is possible to more comprehensively evaluate the force conditions of the vehicle under complex working conditions. This is crucial to ensure the stability and safety of the vehicle under various road conditions. By adjusting the parameter values ​​in the mathematical model, the first load conditions under different working conditions can be simulated, allowing great flexibility in vehicle design and performance evaluation. Accurately calculating the first load can ensure the reliability and durability of the vehicle under extreme working conditions. This is of great significance to improving the overall performance of the vehicle and extending its service life.

[0055] Determining a second load according to the initial data set includes:

[0056] According to the second formula:

[0057]

[0058] Determine the second load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z2 is the above-mentioned second load, l=a1+a2, a1 is the above-mentioned first distance, a2 is the above-mentioned second distance, h is the above-mentioned current vertical height, and a is the above-mentioned vehicle driving acceleration.

[0059] Similarly, by comprehensively considering multiple physical parameters to accurately determine the second load, it is possible to more comprehensively evaluate the force conditions of the vehicle under complex working conditions. This is crucial to ensure the stability and safety of the vehicle under various road conditions. By adjusting the parameter values ​​in the mathematical model, the second load conditions under different working conditions can be simulated, giving great flexibility to vehicle design and performance evaluation. Accurately calculating the second load can ensure the reliability and durability of the vehicle under extreme working conditions. This is of great significance to improving the overall performance of the vehicle and extending its service life.

[0060] 8F x1 +2F x2 -mgsinθ=ma;

[0061] 8F z1 +2F z2 -mgcosθ=0;

[0062] 8F z1 a1-2F z2 ·a2+8F x1 ·h+2F x2 h = 0;

[0063] Among them, F x1 is the component force of the load-bearing wheel along the slope direction, and the first load is also the component force of the load-bearing wheel along the vertical slope direction, F x2 It is the component force of the guide wheel along the slope direction, and the second load is also the component force of the guide wheel along the direction perpendicular to the slope.

[0064] Order 8F x1 +2F x2 ;

[0065] The first formula and the second formula are obtained by solving.

[0066] Step S102, constructing a tire model according to the first load, the second load and material parameters of each component in the vehicle;

[0067] like Figure 2 As shown, during the modeling process, the rubber units on the carcass and the steel wire reinforcement layer are divided into quadrilateral units and a unified stacking direction with the vertical meridian facing outward is set, and the direction is defined in the input file. After the modeling is completed, two-dimensional inflation, three-dimensional static load and steady-state free rolling simulations are carried out in sequence.

[0068] Step S103, based on the current real turning radius and different preset tire cornering stiffnesses, performing tire force deformation simulation on the tire model to obtain a plurality of force simulation results, each of which includes a strain of the tire model;

[0069] Specifically, considering that the cornering stiffness of the tire is a constant when it corners at a small angle, a slip angle of 1 degree is first set to perform steady-state cornering simulation and output the cornering stiffness of the tire. At the same time, the lateral force on the tire when turning is calculated based on the actual turning radius of the mine. The cornering stiffness is divided by the lateral force to obtain the actual cornering angle of the tire when turning in the mine. The slip angle is set to the actual cornering angle and the steady-state cornering simulation is performed again to obtain the force and deformation results of the tire when turning on the mine ramp. The shear strain of each rubber unit on the carcass and the steel wire reinforcement layer in the steady-state cornering simulation results of the tire ramp turning is extracted according to the set stacking direction, and the shear strain of the same unit on different three-dimensional sections is obtained as follows: Figure 3 As shown in the figure, the difference between the maximum and minimum values ​​of the calculated shear strain is recorded as the force simulation result.

[0070] Step S104, determining the target strain as one of all the above force simulation results, and determining the delamination parameter threshold to include at least the above target strain, and applying the above delamination parameter threshold to the detection process of bead delamination of the above engineering tire of the above vehicle.

[0071] In the above steps, the first load and the second load are determined according to the initial data set of the vehicle engineering tire, namely the first distance, the second distance, the current vertical height, the slope of the ramp, the vehicle driving acceleration and the total weight of the vehicle, and a tire model is constructed with the material parameters of each component in the vehicle; based on the current real turning radius and different preset tire cornering stiffnesses, the tire model is subjected to tire force and deformation simulation to obtain multiple force simulation results; the target strain is determined to be one of all the force simulation results, and the delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the vehicle's engineering tire, so that compared with the existing scheme, the present application can set the corresponding threshold by simulating the tire, thereby solving the problem that the existing scheme is only set through experience in determining the parameter threshold for detecting bead delamination, resulting in the parameter threshold not conforming to the actual working conditions, thereby resulting in low accuracy of bead delamination detection.

[0072] In step S104, the target strain is determined to be one of all the above force simulation results. There are two implementation methods:

[0073] The first implementation method is to determine the target strain as the minimum value of all the force simulation results.

[0074] Specifically, selecting the minimum value in the stress simulation results as the target strain can more accurately reflect the weak links of the material or structure during the stress process, thereby guiding the optimal design, improving the quality and reliability of the product, and meeting market demand.

[0075] The second implementation method: determining the target strain as one of all the above force simulation results, including:

[0076] When the temperature of the tire model in the target mapping data set and the strain amount of the tire model are both corresponding minimum values, determining the target strain amount to be the strain amount of the tire model in the target mapping data set, and determining the target temperature to be the temperature of the tire model in the target mapping data set;

[0077] When the strain amount of the tire model in the target mapping data set is a corresponding minimum value and the temperature of the tire model in the target mapping data set is not a corresponding minimum value, arranging the strain amounts of all the tire models in descending order to obtain a strain amount sequence;

[0078] The above-mentioned strain quantity of the above-mentioned tire model is traversed from small to large until the temperature corresponding to the above-mentioned strain quantity of the above-mentioned tire model currently reaches the corresponding minimum value, the above-mentioned target strain quantity is determined to be the above-mentioned strain quantity of the above-mentioned tire model currently, and the above-mentioned target temperature is determined to be the temperature corresponding to the above-mentioned strain quantity of the above-mentioned tire model currently.

[0079] Specifically, the efficiency of finding the optimal combination is greatly improved through traversal, especially when processing large amounts of data. In the field of tire engineering, changes in temperature and strain have a crucial impact on tire performance. Directly determining the target strain and target temperature when both temperature and strain are at their minimum values ​​can capture the working state of the tire under optimal conditions, provide accurate data support for subsequent engineering design and optimization, better reflect the performance of the tire under different working conditions, and thus improve the reliability and service life of the product.

[0080] For example, the strain variables of the tire model include strain variable A, strain variable B and strain variable C from large to small, and the temperatures corresponding to the three strain variables are temperature A, temperature B and temperature C respectively. Temperature B is the lowest of the three temperatures, and temperature C is greater than temperature A. Since temperature C corresponding to strain variable C with the smallest strain variable is not the lowest of the three temperatures, it is necessary to look at temperature B corresponding to strain variable B. Since temperature B corresponding to strain variable B is the lowest of the three temperatures, the target strain variable is determined to be strain variable B and the target temperature is determined to be temperature C.

[0081] Each of the above force simulation results includes a stress corresponding to the above strain amount. Before determining the target strain amount to be one of all the above force simulation results, the above method further includes:

[0082] Performing a temperature simulation on each of the above force simulation results to obtain a plurality of temperature simulation results, each of the above temperature simulation results including the temperature of the above tire model;

[0083] Specifically, the stress and strain of each unit in the simulation results of the steady-state lateral deviation of the tire on a ramp turn are extracted, and the heat generation rate of each unit is calculated by combining the loss factor of the material to which each unit belongs and the rolling angular velocity set when the tire is in steady-state lateral deviation and written into each unit of the two-dimensional inflation model. The temperature of the mine environment and the temperature of the wheel hub (the wheel hub is an important component of the vehicle, usually the central part of the wheel, used to support the wheel and connect to the vehicle) transmitted to the tire bead when the vehicle is running are comprehensively considered to simulate the two-dimensional temperature field of the tire. Because this application is an improvement method for the delamination problem of the engineering tire bead part, no excessive observation is made on the local area outside the engineering tire bead part, and the temperature distribution of the tire body and the steel wire reinforcement layer in the bead area of ​​the two-dimensional temperature field simulation model is extracted to obtain the temperature simulation result.

[0084] A temperature-strain mapping relationship is constructed. The temperature-strain mapping relationship is a mapping relationship between the temperature of the tire model of the temperature simulation result and the strain of the tire model. The temperature-strain mapping relationship includes multiple groups of mapping data groups. Each group of the mapping data groups includes a temperature of the tire model and the corresponding strain of the tire model.

[0085] Specifically, by combining stress simulation and temperature simulation, the complex behavior of tires in actual working environments can be simulated more comprehensively. By constructing a temperature-strain mapping relationship, the performance changes of tires under different temperatures and stress conditions can be more intuitively understood, thereby improving the accuracy and reliability of the simulation results.

[0086] Determining the delamination parameter threshold includes at least the above-mentioned target strain variables, including:

[0087] Determining the delamination parameter threshold includes the above-mentioned target strain amount and target temperature.

[0088] Specifically, determining the target strain can formulate targeted preventive measures, such as adjusting the production process, optimizing the material formula, etc., to reduce the incidence of delamination problems; determining the target temperature as part of the delamination parameter threshold makes temperature control more scientific. By determining the delamination parameter threshold, it is possible to more accurately identify the conditions under which the engineering tire bead is prone to delamination problems, which helps engineers quickly locate the source of the problem, reduce the possibility of misjudgment and missed judgment, and thus improve the accuracy of engineering tire bead delamination detection.

[0089] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the method for detecting delamination of the engineering tire bead portion of the present application will be described in detail below in conjunction with specific embodiments.

[0090] This embodiment relates to a specific method for detecting delamination of an engineering tire bead portion, such as Figure 4 As shown, the following steps are included:

[0091] Acquire an initial data set of an engineering tire of the vehicle, and determine a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration, and a vehicle gross weight, wherein the first distance is a distance from a rear axle of the vehicle to the center of gravity of the vehicle along the ramp direction, the second distance is a distance from a front axle of the vehicle to the center of gravity of the vehicle along the ramp direction, the current vertical height is a vertical height from the center of gravity to the wheel surface, the first load is a load on the load-bearing wheels of the vehicle increased due to downhill, and the second load is a load on the guide wheels of the vehicle increased due to downhill;

[0092] Building a tire model according to the first load, the second load and material parameters of each component in the vehicle;

[0093] Based on the current real turning radius and different preset tire cornering stiffnesses, a tire stress deformation simulation is performed on the tire model to obtain a plurality of stress simulation results, each of which includes a strain of the tire model, and each of which also includes a stress corresponding to the strain;

[0094] Perform a temperature simulation on each force simulation result to obtain multiple temperature simulation results, each temperature simulation result includes the temperature of the tire model;

[0095] Constructing a temperature-strain variable mapping relationship, the temperature-strain variable mapping relationship is a mapping relationship between the temperature of the tire model of the temperature simulation result and the strain of the tire model, the temperature-strain variable mapping relationship includes multiple groups of mapping data groups, each group of mapping data groups includes a temperature of a tire model and a corresponding strain of the tire model;

[0096] When the temperature of the tire model and the strain of the tire model in the target mapping data set are both corresponding minimum values, determining the target strain to be the strain of the tire model in the target mapping data set, and determining the target temperature to be the temperature of the tire model in the target mapping data set;

[0097] When the strain amount of the tire model in the target mapping data set is the corresponding minimum value and the temperature of the tire model in the target mapping data set is not the corresponding minimum value, arranging the strain amounts of all tire models in descending order to obtain a strain amount sequence;

[0098] Traversing the strain variables of the tire model from small to large until the temperature corresponding to the strain variable of the current tire model reaches the corresponding minimum value, determining the target strain variable to be the strain variable of the current tire model, and determining the target temperature to be the temperature corresponding to the strain variable of the current tire model;

[0099] Determining a delamination parameter threshold includes a target strain amount and a target temperature, and applying the delamination parameter threshold to a process of detecting delamination of a bead portion of an engineering tire of a vehicle.

[0100] In this process, if the delamination parameter is greater than or equal to the delamination parameter threshold, it is determined that the bead of the engineering tire is delaminated, otherwise it is normal.

[0101] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0102] The embodiment of the present application also provides a detection device for delamination of an engineering tire bead portion. It should be noted that the detection device for delamination of an engineering tire bead portion of the embodiment of the present application can be used to execute the detection method for delamination of an engineering tire bead portion provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0103] The following is an introduction to the detection device for delamination of the engineering tire bead portion provided in an embodiment of the present application.

[0104] Figure 5 It is a structural block diagram of a device for detecting delamination of an engineering tire bead portion provided according to an embodiment of the present application.

[0105] like Figure 5 As shown, the device comprises:

[0106] The acquisition unit 51 is used to acquire an initial data set of the engineering tire of the vehicle, and determine a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration and a vehicle gross weight, wherein the first distance is a distance from a rear axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the second distance is a distance from a front axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the current vertical height is a vertical height from the center of gravity to a wheel surface, the first load is a load on a load-bearing wheel of the vehicle increased due to a downhill slope, and the second load is a load on a guide wheel of the vehicle increased due to a downhill slope;

[0107] A construction unit 52, configured to construct a tire model according to the first load, the second load and material parameters of each component in the vehicle;

[0108] The first processing unit 53 is used to perform tire force deformation simulation on the tire model based on the current real turning radius and different preset tire cornering stiffnesses to obtain a plurality of force simulation results, each of which includes a strain of the tire model;

[0109] The second processing unit 54 is used to determine the target strain as one of all the above-mentioned force simulation results, and determine that the delamination parameter threshold at least includes the above-mentioned target strain, and apply the above-mentioned delamination parameter threshold to the detection process of the bead delamination of the above-mentioned engineering tire of the above-mentioned vehicle.

[0110] In the above-mentioned device, the first load and the second load are determined according to the initial data set of the vehicle engineering tire, namely the first distance, the second distance, the current vertical height, the slope of the ramp, the vehicle driving acceleration and the total weight of the vehicle, and a tire model is constructed with the material parameters of each component in the vehicle; based on the current real turning radius and different preset tire cornering stiffnesses, the tire model is subjected to tire force and deformation simulation to obtain multiple force simulation results; the target strain is determined to be one of all the force simulation results, and the delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the vehicle's engineering tire, so that compared with the existing scheme, the present application can set the corresponding threshold by simulating the tire, thereby solving the problem that the existing scheme is only set through experience in determining the parameter threshold for detecting bead delamination, resulting in the parameter threshold not conforming to the actual working conditions, thereby resulting in low accuracy of bead delamination detection.

[0111] In one embodiment of the present application, the acquisition unit includes a first determination module;

[0112] The first determination module is used for determining the following information according to the first formula:

[0113]

[0114] Determine the first load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z1 is the above-mentioned first load, l=a1+a2, a1 is the above-mentioned first distance, a2 is the above-mentioned second distance, h is the above-mentioned current vertical height, and a is the above-mentioned vehicle driving acceleration.

[0115] In one embodiment of the present application, the acquisition unit includes a second determination module;

[0116] The second determination module is used for determining the following information according to the second formula:

[0117]

[0118] Determine the second load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z2 is the above-mentioned second load, l=a1+a2, a1 is the above-mentioned first distance, a2 is the above-mentioned second distance, h is the above-mentioned current vertical height, and a is the above-mentioned vehicle driving acceleration.

[0119] In one embodiment of the present application, the second processing unit includes a third determining module.

[0120] The third determination module is used to determine that the submodule is used to determine that the above-mentioned target strain amount is the minimum value of all the above-mentioned force simulation results.

[0121] In one embodiment of the present application, each of the above force simulation results includes a stress corresponding to the above strain amount, and the above device also includes a third processing unit and a construction unit.

[0122] The third processing unit is used for performing a temperature simulation on each of the force simulation results before determining the target strain amount to be one of all the force simulation results to obtain a plurality of temperature simulation results, each of which includes the temperature of the tire model;

[0123] The construction unit is used to construct a temperature-strain variable mapping relationship, and the temperature-strain variable mapping relationship is a mapping relationship between the temperature of the tire model of the temperature simulation result and the strain of the tire model. The temperature-strain variable mapping relationship includes multiple groups of mapping data groups, and each group of the mapping data groups includes a temperature of the tire model and the corresponding strain of the tire model.

[0124] In one embodiment of the present application, the second processing unit includes a fourth determining module, a processing module and a fifth determining module.

[0125] The fourth determination module is used for determining the target strain amount as the strain amount of the tire model in the target mapping data group, and determining the target temperature as the temperature of the tire model in the target mapping data group, when the temperature of the tire model in the target mapping data group and the strain amount of the tire model are both corresponding minimum values;

[0126] The processing module is used for arranging the strain quantities of all the tire models in descending order to obtain a strain quantity sequence when the strain quantity of the tire model in the target mapping data group is a corresponding minimum value and the temperature of the tire model in the target mapping data group is not a corresponding minimum value;

[0127] The fifth determination module is used to traverse the above-mentioned strain quantity of the above-mentioned tire model from small to large until the temperature corresponding to the above-mentioned strain quantity of the current above-mentioned tire model is the corresponding minimum value, and determine the above-mentioned target strain quantity as the above-mentioned strain quantity of the current above-mentioned tire model, and determine the above-mentioned target temperature as the temperature corresponding to the above-mentioned strain quantity of the current above-mentioned tire model.

[0128] In one embodiment of the present application, the second processing unit includes a sixth determining module,

[0129] The sixth determination module is used to determine that the delamination parameter threshold includes the above-mentioned target strain amount and target temperature.

[0130] The above-mentioned engineering tire bead portion delamination detection device includes a processor and a memory, and the above-mentioned acquisition unit, construction unit, first processing unit, second processing unit, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions. The above-mentioned modules are all located in the same processor; or, the above-mentioned modules are located in different processors in the form of any combination.

[0131] The processor includes a kernel, and the kernel calls the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters can be adjusted to solve the problem that the existing solution is only set by experience in determining the parameter threshold for detecting bead delamination, which results in the parameter threshold not meeting the actual working conditions, thereby making the accuracy of bead delamination detection low.

[0132] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0133] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned method for detecting delamination of the engineering tire bead portion.

[0134] The present application also provides a system for detecting delamination of an engineering tire bead portion, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the above-mentioned methods for detecting delamination of an engineering tire bead portion. The first load and the second load are determined according to the initial data set of the vehicle engineering tire, namely the first distance, the second distance, the current vertical height, the slope of the ramp, the vehicle driving acceleration and the total weight of the vehicle, and a tire model is constructed with the material parameters of each component in the vehicle; based on the current real turning radius and different preset tire cornering stiffnesses, the tire model is simulated for tire force and deformation to obtain multiple force simulation results; the target strain is determined to be one of all the force simulation results, and the delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the vehicle's engineering tire, so that compared with the existing scheme, the present application can set the corresponding threshold by simulating the tire, thereby solving the problem that the existing scheme is only set through experience in determining the parameter threshold for detecting bead delamination, which results in the parameter threshold not conforming to the actual working conditions, thereby resulting in low accuracy in bead delamination detection.

[0135] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0136] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0137] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0140] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0141] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0142] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0143] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0144] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0145] 1) The method for detecting delamination of the bead of an engineering tire of the present application determines the first load and the second load according to the initial data set of the vehicle engineering tire, namely the first distance, the second distance, the current vertical height, the slope of the ramp, the vehicle driving acceleration and the total weight of the vehicle, and constructs a tire model with the material parameters of each component in the vehicle; based on the current real turning radius and different preset tire lateral stiffnesses, the tire model is subjected to tire force and deformation simulation to obtain multiple force simulation results; the target strain is determined to be one of all the force simulation results, and the delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the vehicle engineering tire, so that compared with the existing scheme, the present application can set the corresponding threshold by simulating the tire, thereby solving the problem that the existing scheme is only set by experience in determining the parameter threshold for detecting bead delamination, resulting in the parameter threshold not conforming to the actual working conditions, thereby making the accuracy of bead delamination detection low.

[0146] 2) The device for detecting delamination of the bead portion of the engineering tire of the present application determines the first load and the second load according to the initial data set of the vehicle engineering tire, namely the first distance, the second distance, the current vertical height, the slope of the ramp, the vehicle driving acceleration and the total weight of the vehicle, and constructs a tire model with the material parameters of each component in the vehicle; based on the current real turning radius and different preset tire lateral stiffnesses, the tire model is simulated for tire force and deformation to obtain multiple force simulation results; the target strain is determined to be one of all the force simulation results, and the delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the vehicle engineering tire, so that compared with the existing scheme, the present application can set the corresponding threshold by simulating the tire, thereby solving the problem that the existing scheme is only set by experience in determining the parameter threshold for detecting bead delamination, resulting in the parameter threshold not conforming to the actual working conditions, thereby making the accuracy of bead delamination detection low.

[0147] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for detecting delamination of an engineering tire bead, characterized in that: include: Acquire an initial data set of an engineering tire of a vehicle, and determine a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration, and a total vehicle weight, wherein the first distance is a distance from a rear axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the second distance is a distance from a front axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the current vertical height is a vertical height from the center of gravity to a wheel surface, the first load is a load on a load-bearing wheel of the vehicle that increases due to a downhill slope, and the second load is a load on a guide wheel of the vehicle that increases due to a downhill slope; constructing a tire model according to the first load, the second load, and material parameters of each component in the vehicle; Based on the current real turning radius and different preset tire cornering stiffnesses, the tire model is subjected to tire force deformation simulation to obtain a plurality of force simulation results, each of which includes a strain of the tire model; The target strain is determined to be one of all the force simulation results, and a delamination parameter threshold is determined to include at least the target strain, and the delamination parameter threshold is applied to the detection process of bead delamination of the engineering tire of the vehicle.

2. The method according to claim 1, characterized in that Determining a first load according to the initial data set includes: according to Determine the first load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z1 is the first load, l=a1+a2, a1 is the first distance, a2 is the second distance, h is the current vertical height, and a is the vehicle driving acceleration.

3. The method according to claim 1, characterized in that Determining a second load according to the initial data set includes: according to Determine the second load; wherein θ is the slope of the ramp, m is the gross weight of the vehicle, g is the acceleration of gravity, F z2 is the second load, l=a1+a2, a1 is the first distance, a2 is the second distance, h is the current vertical height, and a is the vehicle driving acceleration.

4. The method according to claim 1, characterized in that Determining the target strain amount as one of all the force simulation results includes: The target strain is determined to be the minimum value of all the force simulation results.

5. The method according to claim 1, characterized in that: Each of the force simulation results includes a stress corresponding to the strain amount. Before determining the target strain amount to be one of all the force simulation results, the method further includes: Performing a temperature simulation on each of the force simulation results to obtain a plurality of temperature simulation results, each of the temperature simulation results including the temperature of the tire model; A temperature-strain mapping relationship is constructed, wherein the temperature-strain mapping relationship is a mapping relationship between the temperature of the tire model of the temperature simulation result and the strain of the tire model, and the temperature-strain mapping relationship includes multiple groups of mapping data groups, each group of the mapping data groups includes a temperature of the tire model and the corresponding strain of the tire model.

6. The method according to claim 5, characterized in that Determining the target strain amount as one of all the force simulation results includes: When the temperature of the tire model and the strain amount of the tire model in the target mapping data set are both corresponding minimum values, determining the target strain amount to be the strain amount of the tire model in the target mapping data set, and determining the target temperature to be the temperature of the tire model in the target mapping data set; When the strain amount of the tire model in the target mapping data set is a corresponding minimum value and the temperature of the tire model in the target mapping data set is not a corresponding minimum value, arranging the strain amounts of all the tire models in descending order to obtain a strain amount sequence; The strain amount of the tire model is traversed from small to large until the temperature corresponding to the strain amount of the current tire model is the corresponding minimum value, the target strain amount is determined to be the strain amount of the current tire model, and the target temperature is determined to be the temperature corresponding to the strain amount of the current tire model.

7. The method according to claim 6, characterized in that Determining the delamination parameter threshold includes at least the target strain amount, including: Determining a delamination parameter threshold includes the target strain amount and the target temperature.

8. A device for detecting delamination of an engineering tire bead, characterized in that: include: an acquisition unit, configured to acquire an initial data set of an engineering tire of a vehicle, and determine a first load and a second load according to the initial data set, wherein the initial data set includes a first distance, a second distance, a current vertical height, a ramp gradient, a vehicle driving acceleration, and a vehicle gross weight, wherein the first distance is a distance from a rear axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the second distance is a distance from a front axle of the vehicle to a center of gravity of the vehicle along a ramp direction, the current vertical height is a vertical height from the center of gravity to a wheel surface, the first load is a load on a load-bearing wheel of the vehicle increased due to a downhill slope, and the second load is a load on a guide wheel of the vehicle increased due to a downhill slope; a construction unit, configured to construct a tire model according to the first load, the second load, and material parameters of each component in the vehicle; A first processing unit is used to perform tire force deformation simulation on the tire model based on the current real turning radius and different preset tire cornering stiffnesses to obtain a plurality of force simulation results, each of which includes a strain of the tire model; The second processing unit is used to determine the target strain value as one of all the force simulation results, and determine that the delamination parameter threshold value at least includes the target strain value, and apply the delamination parameter threshold value to the detection process of the bead delamination of the engineering tire of the vehicle.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A system for detecting delamination of an engineering tire bead, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of claims 1 to 7.

Images