Method and system for detecting performance of shock insulation rubber

Abstract

The application discloses a performance detection method and system of shock insulation rubber, and relates to the field of rubber performance testing. The method is applied to a multi-axis vibration test system, and the method comprises the following steps: obtaining basic parameters of the rubber to be tested; generating a first composite excitation signal based on the basic parameters; controlling the multi-axis vibration table to perform first performance testing on the rubber to be tested according to the first composite excitation signal, and determining a plurality of sensitive excitation directions of the rubber to be tested; generating a second composite excitation signal according to the plurality of sensitive excitation directions; controlling the multi-axis vibration table to perform second performance testing on the rubber to be tested according to the second composite excitation signal, and obtaining second performance data of the rubber to be tested, wherein the second performance data comprises vibration acceleration, vibration speed, vibration displacement and vibration frequency; and calculating the damping ratio of the rubber to be tested according to the second performance data. The technical scheme provided by the application improves the damping performance of the shock insulation rubber in actual application.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of rubber performance testing, and in particular to a performance detection method and system for shock insulation rubber. BACKGROUND

[0002] Among many synthetic rubbers, shock insulation rubber has good damping performance, so that it has excellent application prospects in many high-vibration environments. Therefore, before the shock insulation rubber is shipped, it is necessary to test the damping performance of the shock insulation rubber. At present, the forced vibration method is generally used to test the damping performance of the shock insulation rubber. The forced vibration method is to apply a single degree of freedom excitation to the shock insulation rubber to be tested, and then detect the response frequency, response amplitude and other parameters of the shock insulation rubber to determine the damping performance of the shock insulation rubber. However, in actual application scenarios, the vibration excitation received by the shock insulation rubber is irregular, so that the damping performance of the shock insulation rubber in the real application scenario is not ideal. SUMMARY

[0003] In view of the problem that, in actual application scenarios, the vibration excitation received by the shock insulation rubber is irregular, so that the damping performance of the shock insulation rubber in the real application scenario is not ideal, the application provides a performance detection method and system for shock insulation rubber.

[0004] In a first aspect, the application provides a performance detection method for shock insulation rubber, applied to a multi-axis vibration test system, and the method comprises the following steps.

[0005] Obtaining basic parameters of rubber to be tested, the basic parameters comprising size parameters, material parameters and application environment;

[0006] Generating a first composite excitation signal based on the basic parameters;

[0007] Controlling a multi-axis vibration table to perform first performance testing on the rubber to be tested according to the first composite excitation signal, and determining a plurality of sensitive excitation directions of the rubber to be tested;

[0008] Generating a second composite excitation signal according to the plurality of sensitive excitation directions;

[0009] Controlling the multi-axis vibration table to perform second performance testing on the rubber to be tested according to the second composite excitation signal, and obtaining second performance data of the rubber to be tested, the second performance data comprising vibration acceleration, vibration speed, vibration displacement and vibration frequency;

[0010] Calculating the damping ratio of the rubber to be tested according to the second performance data.

[0011] Optionally, generating the first composite excitation signal based on the basic parameters specifically comprises the following steps.

[0012] According to the application environment of the rubber to be tested, a plurality of different vibration excitations corresponding to the application environment are queried from a preset vibration table;

[0013] The plurality of different vibration excitations are used as the first composite excitation signal.

[0014] Optionally, the second composite excitation signal is generated according to the sensitive excitation direction, and specifically includes:

[0015] The bearing coefficients of the rubber to be tested to vibration excitations in a plurality of sensitive excitation directions are obtained;

[0016] According to the plurality of bearing coefficients, a chaotic excitation setting ratio in the plurality of sensitive excitation directions is determined;

[0017] Based on the chaotic excitation setting ratio in the plurality of sensitive excitation directions, chaotic signals in the plurality of sensitive excitation directions are set;

[0018] The first composite excitation signal and the chaotic signals set in the plurality of sensitive excitation directions are used as a second composite excitation signal.

[0019] Optionally, the chaotic signals in the plurality of sensitive excitation directions are set, and specifically further include:

[0020] According to the bearing coefficients of the vibration excitations in the plurality of sensitive excitation directions, a cycle release period of the chaotic signals in the plurality of sensitive excitation directions is set.

[0021] Optionally, the damping ratio of the rubber to be tested is calculated according to the second performance data, and specifically further includes:

[0022] The second performance data is standardized to obtain a first covariance matrix representing the second performance data;

[0023] A plurality of performance characteristic values in the first covariance matrix are extracted;

[0024] The plurality of performance characteristic values are screened to obtain a plurality of target performance characteristic values;

[0025] The plurality of target performance characteristic values are data restored to obtain third performance data;

[0026] Based on the third performance data, the damping ratio of the rubber to be tested is calculated.

[0027] Optionally, the plurality of target performance characteristic values are obtained by screening the plurality of performance characteristic values, and specifically further include:

[0028] The proportion of the plurality of performance characteristic values in total performance characteristic values is calculated.

[0029] The proportion of the plurality of performance characteristic values in the total performance characteristic value is compared with a proportion threshold value to obtain a plurality of high-value performance characteristic values.

[0030] The performance data corresponding to the plurality of high-value performance characteristic values is constructed into a second covariance matrix.

[0031] A plurality of performance characteristic values in the second covariance matrix are extracted and screened to obtain a plurality of target performance characteristic values.

[0032] Optionally, before the proportion of the plurality of performance characteristic values in the total performance characteristic value is compared with the proportion threshold value to obtain a plurality of high-value performance characteristic values, the method further comprises:

[0033] The standard deviation of the second performance data is calculated.

[0034] The standard deviation of the second performance data is matched with a preset performance characteristic value proportion table to obtain the proportion threshold value.

[0035] In a second aspect, the application provides a performance detection system for shock insulation rubber, which is a multi-axis vibration test system. The multi-axis vibration test system comprises an acquisition module, a processing module, and a sending module, wherein:

[0036] The acquisition module is configured to acquire basic parameters of the rubber to be tested, including size parameters, material parameters, and application environment.

[0037] The processing module is configured to generate a first composite excitation signal based on the basic parameters.

[0038] The sending module is configured to control the multi-axis vibration table to perform a first performance test on the rubber to be tested according to the first composite excitation signal, and determine a plurality of sensitive excitation directions of the rubber to be tested.

[0039] The processing module is further configured to generate a second composite excitation signal according to the plurality of sensitive excitation directions.

[0040] The sending module is further configured to control the multi-axis vibration table to perform a second performance test on the rubber to be tested according to the second composite excitation signal, and obtain second performance data of the rubber to be tested, including vibration acceleration, vibration speed, vibration displacement, and vibration frequency.

[0041] The processing module is further configured to calculate the damping ratio of the rubber to be tested according to the second performance data.

[0042] In a third aspect, the present application provides an electronic device, comprising a processor, a memory, a user interface and a network interface, the memory is configured to store instructions, the user interface and the network interface are configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to enable the electronic device to perform the method according to any one of the first aspect.

[0043] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, when the instructions are executed, the method according to any one of the first aspect is performed.

[0044] To sum up, the one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0045] 1. In order to solve the problem that the damping performance of shock insulation rubber is poor in actual application scenarios, the present application simulates the real vibration environment during testing, determines the sensitive part of the damping performance of the shock insulation rubber, and then applies different proportions of chaotic excitation to the sensitive part of the damping performance of the shock insulation rubber to simulate the complex vibration environment that has not been considered. Then, the performance data of the shock insulation rubber under the complex vibration environment is detected, and the performance data is converted into damping ratio to determine the damping performance of the shock insulation rubber. The above process determines the upper and lower limits of the damping performance of the shock insulation rubber in the vibration environment with many uncertain factors before the shock insulation rubber leaves the factory, so that the shock insulation rubber can have a reasonable use positioning in the actual application process, thereby improving the damping performance of the shock insulation rubber in actual application.

[0046] 2. When testing the performance data of the shock insulation rubber, the vibration of the test equipment itself will affect the final test results, especially for low-damping shock insulation rubber. Therefore, when processing the test results, the present application fuses the detected multiple types of performance parameters into a covariance matrix to represent the linear relationship between the performance parameters, then extracts multiple performance eigenvalues of the covariance matrix, and finally determines the target performance data with a higher proportion of shock insulation rubber performance data according to the proportion of the multiple performance eigenvalues in the total performance eigenvalues, so as to eliminate the influence of the test equipment on the test results. This process utilizes the nonlinear irregular characteristics of the vibration of the test equipment, which can highlight the nonlinear irregular characteristics in the covariance matrix, so as to distinguish the shock insulation rubber performance data, and then facilitate the extraction of less disturbed shock insulation rubber performance data, thereby improving the test accuracy of the damping performance of the shock insulation rubber. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 is a flowchart of a performance detection method of a shock insulation rubber provided by the embodiments of the present application.

[0048] Figure 2 is a structural schematic diagram of a performance detection system of shock insulation rubber provided by an embodiment of the present application.

[0049] Figure 3 is a structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0050] Legend: 1, acquisition module; 2, processing module; 3, sending module; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0051] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the embodiments of the specification will be clearly and completely described below in conjunction with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0052] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to represent an example, illustration or description. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0053] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used for description purposes only and should not be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0054] In life, shock insulation rubber is used everywhere, for example, anti-shake of vehicles, foundation shock insulation of buildings, and anti-vibration of large stamping equipment in factories, etc. Its main principle is to convert the vibration energy conducted to the shock insulation rubber into heat energy or other energy forms by using the high damping performance of the shock insulation rubber, so as to gradually attenuate the vibration. Therefore, when producing and manufacturing shock insulation rubber, the detection of its damping performance is an essential step.

[0055] Currently, common detection methods for shock insulation rubber include free vibration attenuation method and forced vibration method. The free vibration attenuation method is to apply an initial vibration force to the rubber to make the rubber vibrate freely. Due to the existence of damping, the vibration amplitude will gradually attenuate. At this time, the damping ratio of the rubber can be calculated by measuring the attenuation of the vibration amplitude. However, the free vibration attenuation method can only be applied to rubber made of linear materials. In real life, most shock insulation rubbers are made of nonlinear materials, which leads to a narrow application range of the free vibration attenuation method. Therefore, manufacturers use the forced vibration method to detect the damping performance of shock insulation rubber made of nonlinear materials. The forced vibration method is to apply a periodic force to the shock insulation rubber to make it vibrate. Then, the damping ratio of the rubber is calculated by analyzing the relationship between the response parameters of the system under forced vibration and the exciting force. However, in actual application scenarios, the vibration force acting on the shock insulation rubber is not a periodic force. Its vibration frequency, amplitude and vibration direction change at any time, which leads to a large difference between the damping performance of the shock insulation rubber in special scenarios and the damping performance tested by the forced vibration method. Therefore, the shock insulation performance of the shock insulation rubber in actual application is not good.

[0056] To solve the above problems, the present application provides a performance detection method for shock insulation rubber. The method is applied to a multi-axis vibration test system, which is a computer system for controlling a multi-axis vibration table. The multi-axis vibration table can apply an exciting force in the spatial direction to the test target to simulate the real vibration environment. In addition, a sensor is installed on the multi-axis vibration table to detect the performance parameters of the test target and feed back the performance parameters to the multi-axis vibration test system. As shown in Figure 1 The method includes steps S101 to S106, which are as follows:

[0057] S101, obtain the basic parameters of the rubber to be tested, including size parameters, material parameters and application environment.

[0058] S102, generate a first composite excitation signal based on the basic parameters.

[0059] In the steps S101-S102, after the user inputs the basic parameters of the rubber to be tested into the multi-axis vibration test system, the multi-axis vibration test system controls the multi-axis vibration table to automatically adjust the clamping position, clamping direction and clamping force of the rubber to be tested according to the size parameters and material parameters. Then, in order to simulate the real vibration environment of the rubber to be tested, according to the application environment of the rubber to be tested, a plurality of different vibration excitations in the current application environment are queried from the preset vibration table, and the plurality of different vibration excitations are used to simulate the vibration caused by a plurality of vibration sources in the current application environment to the rubber to be tested. It should be noted that the preset vibration table stores the vibration excitations received by the shock insulation rubber in different application scenarios, and the vibration excitation of each application scenario is obtained by experimental personnel through practical test.

[0060] S103, according to the first composite excitation signal, controlling the multi-axis vibration table to test the rubber to be tested, and determining a plurality of sensitive excitation directions of the rubber to be tested.

[0061] In the above steps, during the production process of the shock insulation rubber, the production process cannot completely guarantee that the same type of shock insulation rubber is completely consistent in performance, that is, although the overall difference in damping performance of two shock insulation rubbers of the same batch and the same type is not large, the local damping performance is greatly different due to different internal stress structures. Based on this, the application needs to consider the damping performance of the local area to the vibration environment when testing each rubber to be tested, in order to prevent the shock insulation rubber from being over-fatigued and accelerated aging due to excessive vibration excitation in a certain direction during use. Specifically, according to the first composite excitation signal, the plurality of vibration signal emitters of the multi-axis vibration table release a plurality of different vibration excitations to simulate the real vibration environment in the application environment, and then the plurality of sensors detect the performance data of the rubber to be tested, which includes vibration acceleration, vibration speed, vibration displacement and vibration frequency; then according to the damping vibration equation of the rubber: , the damping curve of the rubber to be tested in a plurality of excitation directions is generated, wherein w is the vibration frequency, m is the mass, c is the damping coefficient, and k is the stiffness coefficient, is the vibration acceleration, is the vibration speed, is the vibration displacement, is the vibration amplitude. Then, according to the fluctuation amplitude of the damping curve, a plurality of sensitive excitation directions of the rubber to be tested are determined. It should be explained that in the sensitive excitation direction of the shock insulation rubber, due to the internal material properties, the transmission efficiency of the vibration energy is higher, so that the damping performance also presents greater volatility, therefore, if the fluctuation amplitude of the damping curve in a certain excitation direction is large, it can be determined that the direction is the sensitive excitation direction.

[0062] S104, generate a second composite excitation signal according to the plurality of sensitive excitation directions.

[0063] In the above steps, in the sensitive excitation direction of the rubber to be tested, since it is more sensitive to vibration, this direction is more prone to fatigue when dealing with unknown vibration, compared with the direction that is not sensitive, thus leading to the decline of overall damping performance due to local fatigue in normal use. In order to solve this problem, the present application performs a second performance test on the rubber to be tested, and in the second performance test process, in addition to applying the first composite excitation signal, the release of chaotic signals is continued in each sensitive excitation direction, so as to simulate the uncertain vibration factors in the application scenario.

[0064] Specifically: first, according to the performance data in the plurality of sensitive excitation directions, the bearing coefficients in the plurality of sensitive excitation directions are calculated, it needs to be explained that the bearing coefficient can be understood as the fatigue coefficient of the rubber, when the rubber appears fatigue, due to the aging of the material structure, its damping curve will show nonlinear decline, based on this characteristic, the damping curve in the plurality of sensitive excitation directions can be analyzed, and the bearing coefficient in the plurality of sensitive excitation directions can be obtained; then the ratio of the bearing coefficients in the plurality of sensitive excitation directions is calculated to determine the chaotic excitation setting proportion in the plurality of sensitive excitation directions, the chaotic excitation can be understood as a nonlinear vibration excitation randomly generated by Logistic mapping; then according to the chaotic excitation setting proportion in the plurality of sensitive excitation directions, the corresponding chaotic excitation is generated, and the chaotic excitation is set in the vibration excitation signal of the plurality of sensitive excitation directions, wherein the setting mode can be uniformly distributed in the same time period of the vibration excitation signal of the plurality of sensitive excitation directions, and each one has a chaotic excitation, it needs to be explained that the setting mode here is not to fuse the chaotic excitation with the vibration excitation signal, but to be in a superimposed state, so that the release frequency of the chaotic signal can be adjusted at any time without affecting the original vibration excitation signal, and then the vibration caused by unknown factors is simulated.

[0065] In a possible implementation, the vibration caused by unknown factors to the rubber to be tested is not always present, that is, it can be continuously released or intermittently released, for example: in the process of driving a car, since the road condition is in a state of unpredictable change, the vibration of the damping rubber in the car suspension system may be affected by the bumpy road all the time, or by the intermittent gravel road. Therefore, in order to simulate this state, the present application sets a cycle release period when releasing the chaotic signal, which is set according to the bearing coefficients in the plurality of sensitive excitation directions, the chaotic signal with high bearing coefficient is released for a long time, and the chaotic signal with low bearing coefficient is released for a short time, so as to not only simulate the unknown factors in the real scene, but also prevent damage to the rubber to be tested during the test process.

[0066] Finally, the vibration excitation signal in which the chaotic signal is superimposed in the first composite excitation signal is taken as the second composite excitation signal, and is used as the vibration excitation release basis for the second performance test.

[0067] S105, according to the second composite excitation signal, controlling the multi-axis vibration table to perform a second performance test on the rubber to be tested, and obtaining second performance data of the rubber to be tested, the second performance data including vibration acceleration, vibration speed, vibration displacement and vibration frequency.

[0068] S106, calculating the damping ratio of the rubber to be tested according to the second performance data.

[0069] In the above steps S105 to S106, the multi-axis vibration test system controls the multiple vibration signal emitters of the multi-axis vibration table to release composite excitation according to the second composite excitation signal, so as to simulate unknown vibration factors in the real vibration environment. Then the second performance data is measured, and at this time the damping coefficient (damping ratio) of the rubber to be tested can be calculated according to the second performance data, so as to determine the damping performance of the rubber to be tested under various uncertain factors, so that it can have reasonable use positioning in specific application scenarios, and further improve its performance.

[0070] In a possible implementation, when the rubber to be tested is tested, due to the vibration of the multi-axis vibration table itself, the sensor will detect the vibration signal of the multi-axis vibration table as the performance parameter of the rubber to be tested when detecting the performance parameter of the rubber to be tested, thereby causing the finally calculated damping coefficient to be inaccurate. To solve this problem, the second performance data is standardized, that is, the original data is transformed to have zero mean and unit variance, then the covariance between each variable in the standardized data is calculated and constructed into a first covariance matrix, at this time the elements in the matrix reflect the degree of linear relationship between each variable in the second performance data. Since the vibration signal of the multi-axis vibration table is nonlinear and irregular, in the covariance matrix, the vibration data of the multi-axis vibration table is more prominent than the vibration data of the rubber to be tested. Based on this feature, the abnormal vibration data in the second performance parameter is removed. Specifically, the first covariance matrix is scanned using an identity matrix to obtain a plurality of performance eigenvalues, each performance eigenvalue representing the degree of change of the data in the identity matrix. Since the covariance matrix is a matrix reflecting the degree of linear relationship between variables, the performance eigenvalue also represents the degree of linear change of the data in the identity matrix. It can be understood that if the multi-axis vibration table itself has vibration, the performance eigenvalue corresponding to the vibration data of the multi-axis vibration table will be greater than 0, but will be much smaller than the performance eigenvalue corresponding to the vibration data of the rubber to be tested, and there will be a clear distinction between the two values. Based on this characteristic, the plurality of performance eigenvalues are screened to obtain a plurality of target performance eigenvalues, that is, the performance eigenvalue corresponding to the vibration data of the rubber to be tested is retained, and the performance eigenvalue corresponding to the vibration data of the multi-axis vibration table is removed. Finally, the plurality of target performance eigenvalues are restored to obtain pure third performance data, and then the damping coefficient (damping ratio) of the rubber to be tested is calculated according to the third performance data, thereby improving the accuracy of the damping system.

[0071] In a possible implementation, for some low-damping shock insulation rubber tests, the influence of the multi-axis vibration table is more obvious, so that the extracted performance characteristic values contain more nonlinear influences. At this time, single analysis of the performance characteristic values cannot effectively eliminate the influence of the multi-axis vibration table. To solve this problem, the application calculates the proportion of multiple performance characteristic values in the total performance characteristic value to evaluate the relative importance between the multiple performance characteristic values, then compares the proportion of each performance characteristic value with the proportion threshold to determine the performance characteristic values with higher importance, and finally combines the multiple performance characteristic values with higher performance characteristic values to regenerate a new covariance matrix, and re-performs single analysis on the multiple performance characteristic values in the new covariance matrix to obtain relatively pure performance data. If the new covariance matrix still contains more impurities, the iteration process is continued until the covariance matrix contains fewer impurities, and the performance data is output. When setting the proportion threshold, since a part of effective performance data is lost in each iteration process, which leads to relatively discrete effective data, therefore, in each iteration process, the proportion threshold needs to be adjusted. Specifically, the standard deviation of the performance data before each iteration can be calculated, and then the standard deviation of the performance data is matched with the preset performance characteristic value proportion table to obtain the proportion threshold of each iteration, so as to retain as much effective performance data as possible. The preset performance characteristic value proportion table stores the corresponding relationship between the standard deviation of the performance data and the proportion threshold.

[0072] With reference to Figure 2 The application further provides a performance detection system for shock insulation rubber. The system is a multi-axis vibration test system, which comprises an acquisition module 1, a processing module 2, and a sending module 3.

[0073] The acquisition module 1 is configured to acquire basic parameters of the rubber to be tested, wherein the basic parameters include size parameters, material parameters, and application environments.

[0074] The processing module 2 is configured to generate a first composite excitation signal based on the basic parameters.

[0075] The sending module 3 is configured to control the multi-axis vibration table to perform a first performance test on the rubber to be tested according to the first composite excitation signal, and determine multiple sensitive excitation directions of the rubber to be tested.

[0076] The processing module 2 is further configured to generate a second composite excitation signal according to the multiple sensitive excitation directions.

[0077] The sending module 3 is further configured to control the multi-axis vibration table to perform a second performance test on the rubber to be tested according to the second composite excitation signal, and obtain second performance data of the rubber to be tested, wherein the performance data includes vibration acceleration, vibration speed, vibration displacement, and vibration frequency.

[0078] The processing module 2 is further configured to calculate a damping ratio of the rubber to be tested according to the second performance data.

[0079] In a possible implementation, the first composite excitation signal is generated based on the basic parameters, and specifically includes:

[0080] According to the application environment of the rubber to be tested, a plurality of different vibration excitations corresponding to the application environment are queried from a preset vibration table.

[0081] The plurality of different vibration excitations are taken as the first composite excitation signal.

[0082] In a possible implementation, the second composite excitation signal is generated according to the plurality of sensitive excitation directions, and specifically includes:

[0083] The bearing coefficients of the rubber to be tested to the vibration excitations in the plurality of sensitive excitation directions are obtained.

[0084] The chaotic excitation setting ratios in the plurality of sensitive excitation directions are determined according to the plurality of bearing coefficients.

[0085] The chaotic signals in the plurality of sensitive excitation directions are set based on the chaotic excitation setting ratios in the plurality of sensitive excitation directions.

[0086] The first composite excitation signal and the chaotic signals set in the plurality of sensitive excitation directions are taken as the second composite excitation signal.

[0087] In a possible implementation, the chaotic signals in the plurality of sensitive excitation directions are set, and specifically further include:

[0088] The cycle release periods of the chaotic signals in the plurality of sensitive excitation directions are set according to the bearing coefficients of the vibration excitations in the plurality of sensitive excitation directions.

[0089] In a possible implementation, the damping ratio of the rubber to be tested is calculated according to the second performance data, and specifically further includes:

[0090] The second performance data is standardized to obtain a first covariance matrix representing the second performance data.

[0091] A plurality of performance characteristic values in the first covariance matrix are extracted.

[0092] The plurality of performance characteristic values are screened to obtain a plurality of target performance characteristic values.

[0093] The plurality of target performance characteristic values are data restored to obtain third performance data.

[0094] The damping ratio of the rubber to be tested is calculated based on the third performance data.

[0095] In a possible implementation, the multiple performance characteristic values are screened to obtain the multiple target performance characteristic values, and the method further includes the following steps.

[0096] The proportion of the multiple performance characteristic values in the total performance characteristic values is calculated.

[0097] The proportion of the multiple performance characteristic values in the total performance characteristic values is compared with a proportion threshold to obtain multiple high-value performance characteristic values.

[0098] The performance data corresponding to the multiple high-value performance characteristic values is constructed into a second covariance matrix.

[0099] The multiple performance characteristic values in the second covariance matrix are extracted, and screening is performed to restore the multiple target performance characteristic values.

[0100] In a possible implementation, before the proportion of the multiple performance characteristic values in the total performance characteristic values is compared with the proportion threshold to obtain the multiple high-value performance characteristic values, the method further includes the following steps.

[0101] The standard deviation of the second performance data is calculated.

[0102] The standard deviation of the second performance data is matched with a preset performance characteristic value proportion table to obtain the proportion threshold.

[0103] It should be noted that, when the apparatus provided in the above embodiments implements its functions, only the division of the above functional modules is exemplified, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be repeated here.

[0104] The present application also discloses an electronic device. Referring to Figure 3 , Figure 3 is a structural schematic diagram of an electronic device disclosed by the embodiments of the present application. The electronic device 300 can include at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0105] The communication bus 302 is configured to realize the connection and communication between the components.

[0106] The user interface 303 can include a display screen (Display) and a camera (Camera), and the optional user interface 303 can further include a standard wired interface and a wireless interface.

[0107] The network interface 304 can optionally include a standard wired interface, a wireless interface (e.g., a WI-FI interface).

[0108] The processor 301 can include one or more processing cores. The processor 301 connects various parts within the server through various interfaces and lines, performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU is mainly used to process the operating system, user interface and application programs; the GPU is used to render and draw the content to be displayed on the display screen; and the modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0109] The memory 305 can include a random access memory (RAM) and a read-only memory (ROM). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can optionally be at least one storage device located away from the aforementioned processor 301. Referring to Figure 3 The memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of a performance detection method of a shock insulation rubber.

[0110] InFigure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 301 can be used to invoke an application program stored in the memory 305 and storing a performance detection method of shock insulation rubber, which, when executed by one or more processors 301, causes the electronic device 300 to perform the method described in one or more of the above embodiments. It should be noted that, for the above-mentioned method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other orders or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0111] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0112] In the several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of the units is only a logical function division. There can be another division manner for actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical or other forms.

[0113] The units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0114] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The above integrated unit can be realized in the form of hardware, or in the form of a software functional unit.

[0115] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0116] The above-described are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the present disclosure.

[0117] The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for testing the performance of vibration-damping rubber, characterized in that, The method, applied to a multiaxial vibration testing system, includes: Obtain the basic parameters of the rubber to be tested, including dimensional parameters, material parameters, and application environment; Based on the aforementioned basic parameters, a first composite excitation signal is generated; Based on the first composite excitation signal, the multi-axis vibration table is controlled to perform a first performance test on the rubber under test, and multiple sensitive excitation directions of the rubber under test are determined. A second composite excitation signal is generated based on the multiple sensitive excitation directions; According to the second composite excitation signal, the multi-axis vibration table is controlled to perform a second performance test on the rubber to be tested, and the second performance data of the rubber to be tested is obtained. The second performance data includes vibration acceleration, vibration velocity, vibration displacement and vibration frequency. The damping ratio of the rubber under test is calculated based on the second performance data, and specifically includes: The second performance data is standardized to obtain the first covariance matrix that characterizes the second performance data; Extract multiple performance feature values ​​from the first covariance matrix; By filtering out multiple performance feature values, multiple target performance feature values ​​are obtained; The third performance data is obtained by restoring the data of multiple target performance feature values; Based on the third performance data, the damping ratio of the rubber under test is calculated.

2. The method according to claim 1, characterized in that, Based on the aforementioned basic parameters, a first composite excitation signal is generated, specifically including: Based on the application environment of the rubber to be tested, multiple different vibration excitations corresponding to the application environment are queried from a preset vibration table; Multiple different vibration excitations are used as the first composite excitation signal.

3. The method according to claim 1, characterized in that, The step of generating a second composite excitation signal based on multiple sensitive excitation directions specifically includes: Obtain the bearing capacity coefficient of the rubber under test to vibration excitation in multiple sensitive excitation directions; Based on the multiple tolerance coefficients, determine the chaotic excitation setting ratio in the multiple sensitive excitation directions; Based on the chaotic excitation setting ratio in multiple sensitive excitation directions, chaotic signals are set in multiple sensitive excitation directions; The first composite excitation signal and the chaotic signal set in the plurality of sensitive excitation directions are used as the second composite excitation signal.

4. The method according to claim 3, characterized in that, The setting of multiple chaotic signals in the sensitive excitation directions specifically includes: Based on the vibration excitation tolerance coefficients in multiple sensitive excitation directions, a cyclic release period for chaotic signals in multiple sensitive excitation directions is set.

5. The method according to claim 1, characterized in that, The step of filtering out multiple performance feature values ​​to obtain multiple target performance feature values ​​further includes: Calculate the proportion of each of the aforementioned performance characteristic values ​​in the total performance characteristic values; The proportion of the multiple performance feature values ​​in the total performance feature values ​​is compared with the proportion threshold to obtain multiple high-value performance feature values; The performance data corresponding to multiple high-value performance feature values ​​are used to construct a second covariance matrix; Multiple performance feature values ​​are extracted from the second covariance matrix and then filtered and restored to obtain multiple target performance feature values.

6. The method according to claim 5, characterized in that, Before comparing the proportion of the multiple performance feature values ​​in the total performance feature values ​​with a proportion threshold to obtain multiple high-value performance feature values, the process specifically includes: Calculate the standard deviation of the second performance data; The standard deviation of the second performance data is matched with a preset performance feature value proportion table to obtain the proportion threshold.

7. A performance testing system for vibration-damping rubber, characterized in that, The system is a multi-axis vibration testing system, which includes an acquisition module (1), a processing module (2), and a transmission module (3), wherein: The acquisition module (1) is used to acquire the basic parameters of the rubber to be tested, including size parameters, material parameters and application environment; The processing module (2) is used to generate a first composite excitation signal based on the basic parameters; The sending module (3) is used to control the multi-axis vibration table to perform a first performance test on the rubber to be tested according to the first composite excitation signal, and to determine multiple sensitive excitation directions of the rubber to be tested; The processing module (2) is further configured to generate a second composite excitation signal based on the plurality of the sensitive excitation directions; The sending module (3) is also used to control the multi-axis vibration table to perform a second performance test on the rubber to be tested according to the second composite excitation signal, and to obtain the second performance data of the rubber to be tested, the performance data including vibration acceleration, vibration velocity, vibration displacement and vibration frequency; The processing module (2) is further configured to calculate the damping ratio of the rubber to be tested based on the second performance data, and specifically includes: The second performance data is standardized to obtain the first covariance matrix that characterizes the second performance data; Extract multiple performance feature values ​​from the first covariance matrix; By filtering out multiple performance feature values, multiple target performance feature values ​​are obtained; The third performance data is obtained by restoring the data of multiple target performance feature values; Based on the third performance data, the damping ratio of the rubber under test is calculated.

8. An electronic device, characterized in that, The device includes a processor (301), a memory (305), a user interface (303), and a network interface (304). The memory (305) is used to store instructions. The user interface (303) and the network interface (304) are used to communicate with other devices. The processor (301) is used to execute the instructions stored in the memory (305) to cause the electronic device (300) to perform the method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1 to 6.

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