Adhesive performance evaluation method and device, computer device and storage medium

Abstract

This invention relates to the field of automotive material properties. It discloses a method, apparatus, computer equipment, and storage medium for evaluating the performance of adhesives. The method includes: acquiring a first mode, a second mode, and a first simulation mode of a vehicle; analyzing the first mode and the first simulation mode to obtain finite element correlation data between them, and adjusting the model parameters of the simulation model based on the finite element correlation data; determining the simulation model after adjusting the model parameters as a simulation correction model; constructing and optimizing the simulation evaluation model; and when the simulation evaluation model reaches a preset optimization target, outputting the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target. This invention obtains the elastic modulus of the adhesive through simulation analysis, eliminating the dependence on testing equipment for elastic modulus measurement and helping to reduce vehicle R&D costs.

Description

Technical Field

[0001] This invention relates to the field of automotive material properties, and more particularly to a method, apparatus, computer equipment, and storage medium for evaluating the performance of adhesives. Background Technology

[0002] To improve vehicle vibration and noise control, automakers often use simulation analysis technology to simulate various performance characteristics of the vehicle body under different structures. This simulation analysis requires the use of performance data for automotive materials. For example, automotive materials might include adhesives used to bond windshields or other automotive components. The elastic modulus of this adhesive plays a crucial role in the simulation analysis. Low accuracy in the elastic modulus of the adhesive will significantly impact the reliability of the simulation analysis. Summary of the Invention

[0003] Therefore, it is necessary to provide a method, apparatus, computer equipment, and storage medium for evaluating the performance of adhesives to address the aforementioned technical problems, so as to obtain the elastic modulus of adhesives with high accuracy.

[0004] A method for evaluating the performance of an adhesive, comprising: The vehicle is obtained in a first mode, a second mode, and a first simulation mode. The first mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second mode is the body-in-white mode of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive, which is simulated by a simulation model. Analyze the first mode and the first simulation mode to obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; When the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode, the simulation model after adjusting the model parameters is determined to be a simulation correction model; A simulation evaluation model is constructed and optimized. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains a specified automotive component bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. When the simulation evaluation model reaches the preset optimization target, the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target is output.

[0005] An adhesive performance evaluation device, comprising: The modal acquisition module is used to acquire a first modality, a second modality, and a first simulation modality of the vehicle. The first modality is the body-in-white modality of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second modality is the body-in-white modality of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation modality is the body-in-white modality of the vehicle when it does not contain specified automotive parts bonded with adhesive, simulated by a simulation model. The modal analysis module is used to analyze the first mode and the first simulation mode, obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; The model correction module is used to determine the simulation model after adjusting the model parameters as a simulation correction model when the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode. A model building and optimization module is used to build and optimize a simulation evaluation model. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains specified automotive parts bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. The output performance data module is used to output the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target when the simulation evaluation model reaches the preset optimization target.

[0006] A computer device includes a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor implements the above-described adhesive performance evaluation method when executing the computer-readable instructions.

[0007] One or more readable storage media storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the adhesive performance evaluation method described above.

[0008] The aforementioned adhesive performance evaluation method, apparatus, computer equipment, and storage medium acquire a first mode, a second mode, and a first simulation mode of the vehicle. The first mode is the body-in-white mode of the vehicle without adhesive-bonded automotive components; the second mode is the body-in-white mode of the vehicle with adhesive-bonded automotive components; and the first simulation mode is the body-in-white mode of the vehicle without adhesive-bonded automotive components simulated by a simulation model, thereby obtaining real test data and simulation data of the vehicle. The first mode and the first simulation mode are analyzed to obtain finite element correlation data between them. Based on this finite element correlation data, the model parameters of the simulation model are adjusted to improve the analysis accuracy of the simulation model. When the first simulation mode output by the adjusted model parameters falls within the allowable range of the first mode, the adjusted model model is determined to be a simulation correction model, thus obtaining a highly accurate simulation correction model. A simulation evaluation model is constructed and optimized to assess the degree of deviation between a second simulation mode and a third simulation mode. The second simulation mode is the body-in-white mode of the vehicle containing specified automotive components bonded with adhesive, simulated by the simulation correction model. The second simulation mode is a dependent variable that varies with the elastic modulus of the adhesive, allowing the accurate elastic modulus of the adhesive to be determined through the simulation evaluation model. When the simulation evaluation model reaches a preset optimization target, the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target is output. Here, the elastic modulus of the adhesive is obtained through simulation analysis, eliminating the dependence on testing equipment for elastic modulus and helping to reduce vehicle development costs. Attached Figure Description

[0009] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic diagram of an application environment for an adhesive performance evaluation method according to an embodiment of the present invention; Figure 2 This is a schematic flowchart of an adhesive performance evaluation method according to an embodiment of the present invention; Figure 3 This is a first-order bending mode in the first mode of one embodiment of the present invention; Figure 4 This is the first-order floor and lower windshield beam bending coupling mode in the first mode of an embodiment of the present invention; Figure 5 This is the second-order floor and windshield upper beam bending coupling mode in the first mode of an embodiment of the present invention; Figure 6 This is a first-order bending mode in the first simulation mode of an embodiment of the present invention; Figure 7 This is the first-order floor and lower windshield beam bending coupling mode in the first simulation mode of an embodiment of the present invention; Figure 8 This is the second-order floor and windshield upper beam bending coupling mode in the first simulation mode of an embodiment of the present invention; Figure 9 This is a schematic diagram of the adhesive performance evaluation device in one embodiment of the present invention; Figure 10 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] The adhesive performance evaluation method provided in this embodiment can be applied to applications such as... Figure 1 In this application environment, the client communicates with the server. Clients include, but are not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0013] In one embodiment, such as Figure 2 As shown, a method for evaluating the performance of adhesives is provided, which is then applied to... Figure 1 Taking the server-side as an example, the explanation includes the following steps: S10. Obtain the first mode, the second mode, and the first simulation mode of the vehicle. The first mode is the body-in-white mode of the vehicle when it does not contain the specified automotive parts bonded by adhesive. The second mode is the body-in-white mode of the vehicle when it contains the specified automotive parts bonded by adhesive. The first simulation mode is the body-in-white mode of the vehicle when it does not contain the specified automotive parts bonded by adhesive, simulated by a simulation model.

[0014] Understandably, body-in-white modal testing refers to the modal data obtained after modal testing of the body-in-white. Body-in-white is an industry term generally referring to the welded assembly of body structural components and body panels, including front fenders, doors, hood, and trunk lid, but excluding accessories and trim pieces—the unpainted body. Here, the body-in-white tested in the first modality differs slightly from that tested in the second modality. The body-in-white tested in the first modality does not include specified automotive parts bonded with adhesives; while the body-in-white tested in the second modality does include specified automotive parts bonded with adhesives. Here, the adhesive can be a glass adhesive or other adhesive; the specified automotive parts can be a windshield (also called a sash), or other automotive parts that can be bonded with adhesives.

[0015] Existing finite element analysis software can be used to build and optimize a vehicle simulation model. The model parameters can be default parameters (i.e., system settings). The first simulation mode is the body-in-white mode of the vehicle calculated by the simulation model using default parameters, excluding specified automotive parts bonded with adhesive. The test objects of the first simulation mode and the first mode are the same, both being the body-in-white without specified automotive parts bonded with adhesive. Although the first simulation mode and the first mode have the same test object, the first simulation mode is the calculation result calculated by the simulation model using default parameters. Generally, there will be a certain degree of deviation between the first simulation mode and the first mode.

[0016] S20. Analyze the first mode and the first simulation mode to obtain the finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data.

[0017] Understandably, correlation analysis can be performed on the first mode and the first simulation mode in finite element analysis software to obtain finite element correlation data between them. This finite element correlation data can be the adjustment amplitude of model parameters. The model parameters of the simulation model can be adjusted based on the finite element correlation data to obtain the simulation model during the adjustment process. After obtaining the simulation model during the adjustment process, the first simulation mode output by the simulation model can be calculated to determine whether the generated first imitation mode is within the allowable range of the first mode. If not, the model parameters of the simulation model need to be further adjusted until the generated first imitation mode is within the allowable range of the first mode.

[0018] S30. When the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode, the simulation model after adjusting the model parameters is determined to be a simulation correction model.

[0019] Understandably, when the first simulation mode output by the adjusted model parameters falls within the allowable range of the first mode, the adjusted model can be set as the simulation correction model. The allowable range can be set according to actual needs. The resulting simulation correction model predicts the body-in-white mode with higher accuracy.

[0020] S40. Construct and optimize a simulation evaluation model, wherein the simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode, wherein the second simulation mode is the body-in-white mode of the vehicle containing specified automotive parts bonded by adhesive, simulated by the simulation correction model, and the second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive.

[0021] Understandably, the second simulation mode is the body-in-white mode of the vehicle containing specified automotive components bonded by adhesive, simulated using a simulation correction model. When calculating the second simulation mode, since the body-in-white includes specified automotive components bonded by adhesive, simulating the body-in-white mode of the vehicle containing these adhesive-bonded components using a simulation correction model requires the use of adhesive performance data (i.e., elastic modulus). The second simulation mode is a dependent variable that varies with the elastic modulus of the adhesive.

[0022] A simulation evaluation model can be constructed and optimized to assess the degree of deviation between the second simulation mode and the second simulation mode. Here, the degree of deviation can refer to absolute difference, variance, root mean square error, standard deviation, etc.

[0023] Optimization of the simulation evaluation model refers to obtaining the minimum value of the simulation evaluation model, or making the value of the simulation evaluation model less than a specified threshold, by continuously substituting the elastic modulus of different adhesives and calculating the degree of deviation between the corresponding second simulation modes. In one example, the optimization of the simulation evaluation model can be achieved using OPTISTUCT software (a finite element structural analysis and optimization software), by setting the objective function, variable constraints, etc., of the simulation evaluation model to achieve iterative optimization of the elastic modulus data.

[0024] S50. When the simulation evaluation model reaches the preset optimization target, output the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target.

[0025] Understandably, preset optimization objectives can be set according to actual needs. Preset optimization objectives include, but are not limited to, minimizing the simulation evaluation model, or making the value of the simulation evaluation model less than a specified threshold. In engineering practice, when the simulation evaluation model value is <0.05, it can be considered that minimization has been achieved, and optimization can be terminated at this point to improve efficiency. When the simulation evaluation model reaches the preset optimization objective, the elastic modulus of the adhesive corresponding to that simulation evaluation model can be output. Here, through simulation analysis, the elastic modulus of the adhesive can be calculated, eliminating the reliance on elastic modulus testing equipment and helping to reduce vehicle R&D costs.

[0026] In steps S10-S50, a first mode, a second mode, and a first simulation mode of the vehicle are obtained. The first mode is the body-in-white mode of the vehicle without adhesive-bonded automotive components. The second mode is the body-in-white mode of the vehicle with adhesive-bonded automotive components. The first simulation mode is the body-in-white mode of the vehicle without adhesive-bonded automotive components simulated by a simulation model, thereby obtaining real test data and simulation data of the vehicle. The first mode and the first simulation mode are analyzed to obtain finite element correlation data between the first mode and the first simulation mode. Based on the finite element correlation data, the model parameters of the simulation model are adjusted to improve the analysis accuracy of the simulation model. When the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode, the simulation model after adjusting the model parameters is determined to be a simulation correction model to obtain a highly accurate simulation correction model. A simulation evaluation model is constructed and optimized to assess the deviation between a second simulation mode and a third simulation mode. The second simulation mode is the body-in-white mode of the vehicle containing specified automotive components bonded with adhesive, simulated by the simulation correction model. The second simulation mode is a dependent variable that varies with the elastic modulus of the adhesive, allowing the accurate elastic modulus of the adhesive to be determined through the simulation evaluation model. When the simulation evaluation model reaches a preset optimization target, the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target is output. Here, the elastic modulus of the adhesive is obtained through inverse simulation, eliminating the dependence on testing equipment for elastic modulus and helping to reduce vehicle development costs.

[0027] Optionally, the body-in-white modes include a first-order bending mode, a first-order bending coupled mode of the floor and the lower crossbeam of the windshield, and a second-order bending coupled mode of the floor and the upper crossbeam of the windshield.

[0028] Understandably, the body-in-white modes specifically include three modes: a first-order bending mode, a first-order floor bending coupled mode and a lower windshield crossbeam bending coupled mode, and a second-order floor bending coupled mode and an upper windshield crossbeam bending coupled mode. In one example, such as... Figure 3-5 As shown, Figure 3 It is the first-order bending mode in the first mode, with a modal frequency of 49.8 Hz; Figure 4 The first mode is the floor first-order and windshield lower beam bending coupling mode, with a modal frequency of 56.8 Hz. Figure 5 The first mode is the second-order floor mode coupled with the bending of the upper beam of the windshield, with a modal frequency of 63.5 Hz.

[0029] In another example, such as Figure 6-8 As shown, Figure 6 This is the first-order bending mode in the first simulation mode, with a modal frequency of 49.3 Hz; Figure 7 The first simulation mode is the first-order floor and lower windshield beam bending coupling mode, with a modal frequency of 56.5 Hz. Figure 8 The first simulation mode is the second-order floor and windshield upper beam bending coupling mode, with a modal frequency of 62.9 Hz.

[0030] Optionally, the allowable range of the first mode is the first mode ±2%.

[0031] Understandably, the allowable range for the first mode can be set according to actual needs. For example, the allowable range for the first mode is set to ±2% of the first mode. In one example, the first mode includes: first-order bending mode: 49.8Hz; first-order floor and lower windshield crossbeam bending coupling mode: 56.8Hz; second-order floor and upper windshield crossbeam bending coupling mode: 63.5Hz; the first simulation mode includes: first-order bending mode: 49.3Hz; first-order floor and lower windshield crossbeam bending coupling mode: 56.5Hz; second-order floor and upper windshield crossbeam bending coupling mode: 62.9Hz. The differences between the first mode and the first simulation mode are: first-order bending mode: 1%; first-order floor and lower windshield crossbeam bending coupling mode: 0.5%; second-order floor and upper windshield crossbeam bending coupling mode: 0.9%. All differences are within ±2% of the first mode. Therefore, the simulation model calculated for the first simulation mode is reliable, and this simulation model can be set as the simulation correction model.

[0032] Optionally, the preset optimization objective includes minimizing the simulation evaluation model.

[0033] Understandably, a preset optimization objective can be set according to actual needs. In one example, the preset optimization objective is set to minimize the simulation evaluation model. If the simulation evaluation model is represented by f(x), then the preset optimization objective can be expressed by the objective function: Minf(x), where Min means minimization, f(x) is the simulation evaluation model, and x is the elastic modulus of the adhesive.

[0034] In some examples, during the optimization of the simulation evaluation model, an initial value for the elastic modulus x of the adhesive can be preset, and an estimation result can be calculated based on this initial value. This estimation result includes the second simulation mode and the simulation evaluation model. If the estimation result does not meet the preset optimization target, the adjustment value of the elastic modulus x of the adhesive is adjusted according to the estimation result, and the adjusted estimation result is calculated. This process is iterated until the calculated estimation result meets the preset optimization target.

[0035] Optionally, the specified automotive component is a windshield.

[0036] Understandably, here, the specified automotive component can be the windshield of a car. The windshield, also known as a glass pane, has a three-layer structure, consisting of a first glass layer, an intermediate PVC layer, and a second glass layer arranged in sequence.

[0037] Optionally, the simulation evaluation model includes: in, Used to evaluate the degree of deviation between the second simulation mode and the second mode; x is the elastic modulus of the adhesive; n is the order of the white body mode; Let be the participation factor of the i-th mode; Let be the frequency of the i-th simulated mode in the second simulated mode; Let be the i-th modal frequency in the second mode.

[0038] Understandably, the simulation evaluation model can reflect the degree of deviation between the second simulation mode and the second mode. Specifically, the differences between the modal frequencies of each order in the second mode and the simulated frequencies of each order in the second simulation mode can be calculated, and then the sum of squares of each difference can be calculated. In the simulation evaluation model, This is the participation factor for the i-th mode, and its value can be set according to actual needs. denoted as the i-th simulated mode frequency in the second simulated mode. The value of changes as x changes. This is the measured value of the i-th modal frequency in the second mode.

[0039] In one example, the second mode includes: a first-order bending mode (47.9 Hz, participation factor 1); a first-order bending coupled mode of the floor and the lower windshield crossbeam (55.8 Hz, participation factor 1); and a second-order bending coupled mode of the floor and the upper windshield crossbeam (58.2 Hz, participation factor 0.5). Therefore, the simulation evaluation model built based on this second mode can be expressed as: in, For first-order bending mode (unit: Hz); For the first-order bending coupling modes of the floor and the lower crossbeam of the windshield (unit: Hz); The second-order bending coupling modes of the floor and the upper crossbeam of the windshield are given (unit: Hz).

[0040] By calculating the objective function Minf(x), the value of x can be obtained, which is the elastic modulus of the adhesive.

[0041] Optionally, in the simulation evaluation model, the participation factor of the i-th order mode is set according to the contribution of the elastic modulus of the adhesive to the i-th order mode.

[0042] Understandably, in the simulation evaluation model, the participation factor of the i-th mode can be set according to the contribution of the adhesive's elastic modulus to the i-th mode. Different modes may have different values ​​for their participation factors. In one example, the greater the contribution of the adhesive's elastic modulus to the i-th mode, the larger the value of the participation factor for the i-th mode; conversely, the smaller the contribution, the smaller the value of the participation factor.

[0043] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0044] In one embodiment, an adhesive performance evaluation device is provided, which corresponds one-to-one with the adhesive performance evaluation methods described in the above embodiments. For example... Figure 9 As shown, the adhesive performance evaluation device includes a modal acquisition module 10, a modal analysis module 20, a model determination and correction module 30, a model construction and optimization module 40, and a performance data output module 50. Detailed descriptions of each functional module are as follows: The modal acquisition module 10 is used to acquire a first modality, a second modality, and a first simulation modality of the vehicle. The first modality is the body-in-white modality of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second modality is the body-in-white modality of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation modality is the body-in-white modality of the vehicle when it does not contain specified automotive parts bonded with adhesive, simulated by a simulation model. Modal analysis module 20 is used to analyze the first mode and the first simulation mode, obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; The model correction module 30 is used to determine the simulation model after adjusting the model parameters as a simulation correction model when the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode. The model building and optimization module 40 is used to build and optimize the simulation evaluation model. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains a specified automotive component bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. The output performance data module 50 is used to output the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target when the simulation evaluation model reaches the preset optimization target.

[0045] Optionally, the body-in-white modes include a first-order bending mode, a first-order bending coupled mode of the floor and the lower crossbeam of the windshield, and a second-order bending coupled mode of the floor and the upper crossbeam of the windshield.

[0046] Optionally, the allowable range of the first mode is the first mode ±2%.

[0047] Optionally, the preset optimization objective includes minimizing the simulation evaluation model.

[0048] Optionally, the specified automotive component is a windshield.

[0049] Optionally, the simulation evaluation model includes: in, Used to evaluate the degree of deviation between the second simulation mode and the second mode; x is the elastic modulus of the adhesive; n is the order of the white body mode; Let be the participation factor of the i-th mode; Let be the frequency of the i-th simulated mode in the second simulated mode; Let be the i-th modal frequency in the second mode.

[0050] Optionally, in the simulation evaluation model, the participation factor of the i-th order mode is set according to the contribution of the elastic modulus of the adhesive to the i-th order mode.

[0051] Specific limitations regarding the adhesive performance evaluation device can be found in the limitations of the adhesive performance evaluation method described above, and will not be repeated here. Each module in the aforementioned adhesive performance evaluation device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0052] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 10 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium and internal memory. The readable storage medium stores an operating system, computer-readable instructions, and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The database stores data related to the adhesive performance evaluation method. The network interface communicates with external terminals via a network connection. When the computer-readable instructions are executed by the processor, they implement an adhesive performance evaluation method. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0053] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor performs the following steps when executing the computer-readable instructions: The vehicle is obtained in a first mode, a second mode, and a first simulation mode. The first mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second mode is the body-in-white mode of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive, which is simulated by a simulation model. Analyze the first mode and the first simulation mode to obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; When the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode, the simulation model after adjusting the model parameters is determined to be a simulation correction model; A simulation evaluation model is constructed and optimized. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains a specified automotive component bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. When the simulation evaluation model reaches the preset optimization target, the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target is output.

[0054] In one embodiment, one or more computer-readable storage media storing computer-readable instructions are provided. The readable storage media provided in this embodiment include non-volatile readable storage media and volatile readable storage media. The readable storage media stores computer-readable instructions, which, when executed by one or more processors, perform the following steps: The vehicle is obtained in a first mode, a second mode, and a first simulation mode. The first mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second mode is the body-in-white mode of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive, which is simulated by a simulation model. Analyze the first mode and the first simulation mode to obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; When the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode, the simulation model after adjusting the model parameters is determined to be a simulation correction model; A simulation evaluation model is constructed and optimized. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains a specified automotive component bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. When the simulation evaluation model reaches the preset optimization target, the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target is output.

[0055] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware with computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0056] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0057] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for evaluating the performance of an adhesive, characterized in that, include: The vehicle is obtained in a first mode, a second mode, and a first simulation mode. The first mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second mode is the body-in-white mode of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation mode is the body-in-white mode of the vehicle when it does not contain specified automotive parts bonded with adhesive, which is simulated by a simulation model. Analyze the first mode and the first simulation mode to obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; the finite element correlation data is the adjustment magnitude of the model parameters; When the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode, the simulation model after adjusting the model parameters is determined to be a simulation correction model; A simulation evaluation model is constructed and optimized. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains a specified automotive component bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. When the simulation evaluation model reaches the preset optimization target, the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target is output.

2. The adhesive performance evaluation method as described in claim 1, characterized in that, The body-in-white modes include a first-order bending mode, a first-order bending coupled mode of the floor and the lower crossbeam of the windshield, and a second-order bending coupled mode of the floor and the upper crossbeam of the windshield.

3. The adhesive performance evaluation method as described in claim 1, characterized in that, The allowable range for the first mode is ±2%.

4. The adhesive performance evaluation method as described in claim 1, characterized in that, The preset optimization objective includes minimizing the simulation evaluation model.

5. The adhesive performance evaluation method as described in claim 1, characterized in that, The specified automotive component is the windshield.

6. The adhesive performance evaluation method as described in claim 1, characterized in that, The simulation evaluation model includes: in, Used to evaluate the degree of deviation between the second simulation mode and the second mode; x is the elastic modulus of the adhesive; n is the order of the white body mode; Let be the participation factor of the i-th mode; Let be the frequency of the i-th simulated mode in the second simulated mode; Let be the i-th modal frequency in the second mode.

7. The adhesive performance evaluation method as described in claim 6, characterized in that, In the simulation evaluation model, the participation factor of the i-th mode is set according to the contribution of the elastic modulus of the adhesive to the i-th mode.

8. An adhesive performance evaluation device, characterized in that, include: The modal acquisition module is used to acquire a first modality, a second modality, and a first simulation modality of the vehicle. The first modality is the body-in-white modality of the vehicle when it does not contain specified automotive parts bonded with adhesive. The second modality is the body-in-white modality of the vehicle when it contains specified automotive parts bonded with adhesive. The first simulation modality is the body-in-white modality of the vehicle when it does not contain specified automotive parts bonded with adhesive, simulated by a simulation model. The modal analysis module is used to analyze the first mode and the first simulation mode, obtain finite element correlation data between the first mode and the first simulation mode, and adjust the model parameters of the simulation model based on the finite element correlation data; the finite element correlation data is the adjustment magnitude of the model parameters. The model correction module is used to determine the simulation model after adjusting the model parameters as a simulation correction model when the first simulation mode output by the simulation model after adjusting the model parameters is within the allowable range of the first mode. A model building and optimization module is used to build and optimize a simulation evaluation model. The simulation evaluation model is used to evaluate the degree of deviation between the second simulation mode and the second simulation mode. The second simulation mode is the body-in-white mode of the vehicle when it contains specified automotive parts bonded by adhesive, which is simulated by the simulation correction model. The second simulation mode is a dependent variable that changes with the elastic modulus of the adhesive. The output performance data module is used to output the elastic modulus of the adhesive corresponding to the simulation evaluation model that has reached the preset optimization target when the simulation evaluation model reaches the preset optimization target.

9. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, characterized in that, When the processor executes the computer-readable instructions, it implements the adhesive performance evaluation method as described in any one of claims 1 to 7.

10. One or more readable storage media storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the adhesive performance evaluation method as described in any one of claims 1 to 7.

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