CN111832163A - Method for calculating fatigue life of automobile part, storage medium and electronic device - Google Patents
Method for calculating fatigue life of automobile part, storage medium and electronic device Download PDFInfo
- Publication number
- CN111832163A CN111832163A CN202010629522.3A CN202010629522A CN111832163A CN 111832163 A CN111832163 A CN 111832163A CN 202010629522 A CN202010629522 A CN 202010629522A CN 111832163 A CN111832163 A CN 111832163A
- Authority
- CN
- China
- Prior art keywords
- stress
- historical
- calculating
- fatigue life
- tested
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Abstract
The application discloses a method for calculating the fatigue life of automobile parts, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring the historical curvature of a pre-stored stress and service life curve of a historical part, wherein the historical part corresponds to the part to be tested; acquiring a current level amplitude and a maximum amplitude of the part to be detected in at least one level of dynamic load; calculating the equivalent fatigue life cycle number of the part to be tested according to the current level amplitude and the maximum amplitude; calculating the target stress of the part to be tested according to the curvature of the historical part and the equivalent fatigue life cycle number of the part to be tested; and calculating the fatigue life of the part to be tested according to the target stress. By means of the method, the accuracy of fatigue life calculation can be improved, fatigue life errors are reduced, and cost is saved.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a method for calculating the fatigue life of automobile parts, a storage medium and electronic equipment.
Background
In the development of new-model automobile projects, the endurance performance of automobile parts (such as chassis suspension structures) is evaluated, and stress is calculated by adopting finite element software, and then fatigue life is calculated by adopting fatigue analysis software. The fatigue analysis software is high in cost and needs to be used by professional people, in the structural design optimization iteration, calculation is time-consuming by adopting the fatigue analysis software, a designer needs to communicate with a fatigue analyzer in a reciprocating mode, and the whole iteration period is long. Meanwhile, in order to accurately evaluate the service life value of the structural part under a certain working condition, the fatigue analysis software also needs to input S-N service life curve data of the material, the stress-service life (S-N) curve of the material needs to be obtained at a higher cost, the test period is long, and a plurality of whole vehicle enterprises or part enterprises can measure the mechanical properties of the material unconditionally. Therefore, the calculation in the prior art has the defects of complex method, extremely strong specialization, high cost, long material test data period, slow structure optimization iteration and the like.
In addition, in the change and upgrade of automobile products, because the chassis suspension usually adopts multistage dynamic load, and the existing fatigue life analysis method is adopted, the risk of larger error with the actual test result may exist.
Disclosure of Invention
The embodiment of the application aims to overcome the defects of the prior art, provides a method for calculating the fatigue life of automobile parts, improves the calculation accuracy, reduces the fatigue life error, does not need special fatigue life analysis software, saves the cost, can be used as a fatigue life design target in the research and development stage of the automobile parts, does not need to repeatedly calculate the target life, saves a large number of analysis periods, and shortens the research and development period.
The technical scheme of the embodiment of the application provides a method for calculating the fatigue life of automobile parts, which comprises the following steps:
acquiring the curvature of a pre-stored stress and service life curve of a historical part, wherein the historical part corresponds to the part to be tested;
acquiring a current level amplitude and a maximum amplitude of the part to be detected in at least one level of dynamic load;
calculating the equivalent fatigue life cycle number of the part to be tested according to the current level amplitude and the maximum amplitude;
calculating the target stress of the part to be tested according to the curvature and the equivalent fatigue life cycle number of the part to be tested;
and calculating the fatigue life of the part to be measured according to the target stress.
Further, obtaining the curvature of the pre-stored stress-life relationship curve of the historical component, further includes:
acquiring stress of historical parts and data of the service lives of the corresponding historical parts;
and performing curve fitting on the stress of the historical part and the corresponding data of the service life of the historical part to obtain the curvature of the relation curve of the historical stress and the service life.
Further, acquiring data of stress of the historical parts and life of the corresponding historical parts comprises:
and acquiring the stress of the historical parts and the service life of the historical parts corresponding to the historical parts in at least one stage of dynamic load by using a finite element method.
Further, the curve fitting the stress of the historical part and the corresponding data of the life of the historical part to obtain the curvature of the relation curve between the historical stress and the life includes:
selecting a double logarithmic function as a function model to be selected according to the stress of the historical parts and the service life of the historical parts;
fitting the stress of the historical part, the service life of the historical part and the log-log function respectively to generate a relation curve of the historical stress and the service life;
and calculating the curvature of the historical stress-life relation curve by using a least square method.
Further, calculating the equivalent fatigue life cycle number of the component to be tested according to the current level amplitude and the maximum amplitude, including:
calculating the fatigue conversion coefficient of the part to be measured under each stage of dynamic load by using the following formula:
wherein, betaiThe fatigue conversion coefficient; fmaxThe maximum amplitude of the part to be measured in at least one stage of dynamic load is obtained; fiThe amplitude of the ith level of the part to be tested in at least one level of dynamic load is obtained;
calculating the equivalent fatigue life cycle number of the part to be measured by using the following formula:
wherein N isaThe equivalent fatigue life cycle number of the part to be tested; n is the level number of the dynamic load; n is a radical ofiThe fatigue life cycle number of the ith level of the part to be tested in at least one level of dynamic load is shown.
Further, calculating the target stress of the to-be-measured part according to the curvature and the equivalent fatigue life cycle number of the to-be-measured part, including:
acquiring the equivalent fatigue life cycle times of the historical parts;
calculating the stress safety coefficient of the part to be measured by using the following formula:
wherein alpha issThe stress safety coefficient of the part to be tested; alpha is a constant; n is a radical ofciThe equivalent fatigue life cycle number of the historical parts;
and calculating the target stress according to the historical part stress by using the following formula:
Sti＝Sci×αs
wherein S istiThe target stress of the part to be measured; sciIs historical part stress.
Further, calculating the fatigue life of the component to be tested according to the target stress, comprising:
acquiring the stress of the part to be measured by using a finite element method;
when the stress of the part to be measured is smaller than the target stress, calculating the stress result of the part to be measured by using a finite element method;
calculating the target achievement rate of the part to be tested according to the stress result of the part to be tested;
and obtaining the fatigue life of the part to be tested according to the target achievement rate.
Further, calculating a target achievement rate of the component to be tested according to the stress result of the component to be tested, including:
calculating the target achievement rate of the part to be measured by using the following formula:
wherein, P is the target achievement rate; saiThe stress result of the part to be tested is obtained.
The technical scheme of the embodiment of the application also provides a storage medium, wherein the storage medium stores computer instructions, and when the computer executes the computer instructions, the storage medium is used for executing the method for calculating the fatigue life of the automobile part.
The technical solution of the embodiment of the present application further provides an electronic device, which includes a processor and a memory communicatively connected to the processor, where the memory is used to store a computer program, and the processor is used to call the computer program to implement the method for calculating the fatigue life of the automobile component.
After adopting above-mentioned technical scheme, have following beneficial effect: the equivalent fatigue life cycle frequency target stress of the part to be tested is calculated by utilizing the curvature of the stress and life curve of the historical part, the fatigue life of the part to be tested is analyzed according to the target stress, the calculation accuracy is improved, the fatigue life error is reduced, special fatigue life analysis software is not needed, the stress-life curve of the part to be tested is not needed, the cost is saved, in the research and development stage of the automobile part, the target stress can be used as a fatigue life design target, the target life is not needed to be repeatedly calculated, a large number of analysis periods are saved, and the research and development period is shortened.
Drawings
The disclosure of the present invention will become more readily understood by reference to the drawings. It should be understood that: these drawings are for illustrative purposes only and are not intended to limit the scope of the present disclosure. In the figure:
FIG. 1 is a flowchart illustrating a method for calculating fatigue life of an automobile component according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a hardware structure of an electronic device for executing a method for calculating a fatigue life of an automobile component according to a third embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings.
It is easily understood that according to the technical solution of the present invention, those skilled in the art can substitute various structures and implementation manners without changing the spirit of the present invention. Therefore, the following detailed description and the accompanying drawings are merely illustrative of the technical aspects of the present invention, and should not be construed as limiting or restricting the technical aspects of the present invention.
The terms of orientation of up, down, left, right, front, back, top, bottom, and the like referred to or may be referred to in this specification are defined relative to the configuration shown in the drawings, and are relative terms, and thus may be changed correspondingly according to the position and the use state of the device. Therefore, these and other directional terms should not be construed as limiting terms.
Example one
As shown in fig. 1, fig. 1 is a working flow chart of a method for calculating fatigue life of an automobile part according to an embodiment of the present invention, including:
step S101: acquiring the curvature of a pre-stored relation curve between stress and service life of the historical part;
step S102: acquiring a current level amplitude and a maximum amplitude of the part to be detected in at least one level of dynamic load;
step S103: calculating the equivalent fatigue life cycle number of the part to be tested according to the current level amplitude and the maximum amplitude;
step S104: calculating the target stress of the part to be tested according to the curvature and the equivalent fatigue life cycle number of the part to be tested;
step S105: and calculating the fatigue life of the part to be measured according to the target stress.
Specifically, the part to be tested includes characteristic regions of the suspension component, including a welding heat affected region, a trimming region, a bolting region, and general regions in addition thereto. The historical parts can be the same type of parts which are developed and correspond to the parts to be tested, can also be parts made of the same material, and can also be parts with the same size, material and shape. The curvature of the stress and service life curve of the historical part can be calculated through statistical analysis on the historical part, the curvature can be a numerical range, and any numerical value in the numerical range can be taken when the fatigue life of the part to be tested is analyzed.
Static loading refers to the ability of the individual components to withstand loads at low or stationary speeds when all components are unaffected by acceleration forces due to the counterbalancing of the forces acting and reaction forces. The dynamic load is opposite to the static load, the dynamic load refers to an external load with a speed changing sharply in a very short time, the stress of each component is unbalanced, the stress condition is related to the motion states of the load, the impact, the vibration and the like due to the influence of the acceleration force, the level of the dynamic load can be one level or multiple levels, the current amplitude of the dynamic load with different levels is related to the positive load and the negative load with the same level, the calculation method of the current amplitude is half of the difference value of the positive load and the negative load with the same level, and when the level of the dynamic load is one level, the amplitude of the current level is the same as the maximum amplitude.
The sequence of step S101 and the sequence of step S102 to step S103 may be interchanged, and the result of calculating the fatigue life of the component to be tested is not affected no matter whether step S101 or step S102 to step S103 is executed first.
According to the method for calculating the fatigue life of the automobile part, the target stress of the equivalent fatigue life cycle times of the part to be measured is calculated by utilizing the curvature of the stress and life curve of the historical part, the fatigue life of the part to be measured is analyzed according to the target stress, the calculation accuracy is improved, the fatigue life error is reduced, special fatigue life analysis software and the stress-life curve of the part to be measured are not needed, the cost is saved, in the research and development stage of the automobile part, the target stress can be used as the fatigue life design target, the target life is not needed to be repeatedly calculated, a large number of analysis periods are saved, and the research and development period is shortened.
In one embodiment, obtaining the curvature of the pre-stored stress-life relationship curve of the historical part comprises:
acquiring stress of historical parts and data of the service lives of the corresponding historical parts;
and performing curve fitting on the stress of the historical part and the data of the service life of the corresponding historical part, and obtaining the curvature of the relation curve of the historical stress and the service life.
In one embodiment, obtaining data of stress of a historical component and life of a corresponding historical component includes:
and acquiring the stress of the historical parts and the service life of the historical parts corresponding to the historical parts in at least one stage of dynamic load by using a finite element method.
In one embodiment, curve fitting is performed on the stress of the historical part and the data of the corresponding service life of the historical part, and the curvature of the historical stress-service life relation curve is obtained, and the curve fitting method includes:
selecting a double logarithmic function as a function model to be selected according to the stress of the historical parts and the service life of the historical parts;
fitting the stress of the historical parts, the service lives of the historical parts and the log-log function respectively to generate a relation curve of the historical stress and the service lives;
and calculating the curvature of the historical stress-life relation curve by using a least square method.
Specifically, under the action of different dynamic loads, acquiring historical part stress S and historical part service life N of historical parts by using a finite element method; secondly, establishing a two-dimensional coordinate system by taking one of the historical part stress S and the historical part service life N as an x axis and the other as a y axis, wherein the historical stress-service life curve relation is as follows (1) under a log-log coordinate:
logS＝KtiXlogN + C (1) formula
Wherein S is historical part stress; ktiIs a curvature; n is the service life of the historical parts; c is a constant of the historical part; finally, the curvature K of the historical stress and service life curve is calculated by using a least square methodtiAnd the data accuracy is improved, and the fatigue life error is reduced.
In one embodiment, step S103 specifically includes:
calculating the fatigue conversion coefficient of the part to be measured under each stage of dynamic load by using the following formula:
wherein, betaiThe fatigue conversion coefficient; fmaxFor maximum amplitude of part to be measured in at least one stage of dynamic loadA value; fiThe amplitude of the ith level of the part to be tested in at least one level of dynamic load is obtained;
calculating the equivalent fatigue life cycle number of the part to be measured by using the following formula:
wherein N isaThe equivalent fatigue life cycle number of the part to be tested; n is the level number of the dynamic load; n is a radical ofiThe fatigue life cycle number of the ith level of the part to be tested in at least one level of dynamic load is shown.
Specifically, for the multi-stage dynamic load, the fatigue conversion coefficient of the part to be measured under each stage of dynamic load is calculated by using the formula (2), so that the fatigue life cycle number of the part to be measured under the multi-stage dynamic load is converted into the life cycle number of the part to be measured under the single-stage dynamic load, and then the life cycle numbers of the part to be measured under each single-stage dynamic load are summed by using the formula (3), thereby facilitating the obtaining of the equivalent fatigue life cycle number of the part to be measured. Similarly, the formula (3) is also suitable for calculating the equivalent fatigue life cycle number of the part to be tested under the single-stage dynamic load, when the dynamic load is single-stage, N in the formula (3) is 1, then N isa＝N1I.e. the equivalent fatigue life cycle number N of the part to be testedaThe number of cycles of fatigue life of a single-stage dynamic load.
In one embodiment, step S104 specifically includes:
acquiring the equivalent fatigue life cycle times of the historical parts;
calculating the stress safety coefficient of the part to be measured by using the following formula:
wherein alpha issThe stress safety coefficient of the part to be tested; alpha is a constant; n is a radical ofciThe equivalent fatigue life cycle number of the historical parts;
and calculating the target stress according to the historical part stress by using the following formula:
Sti＝Sci×αs(5) formula (II)
Wherein S istiThe target stress of the part to be measured; sciIs historical part stress.
Specifically, the equivalent fatigue life cycle number of the historical part can be calculated by the methods of the above formulas (2) and (3), the stress safety coefficient of the part to be measured is calculated by the formula (4), alpha in the formula (4) is a preset target multiple of the fatigue life of the part to be measured, the alpha can be set according to experience and project requirements, and then the target stress is calculated by the formula (5) according to the obtained historical part stress, so that the data accuracy is improved, and the fatigue life error is reduced.
In one embodiment, step S105 specifically includes:
acquiring the stress of the part to be measured by using a finite element method;
when the stress of the part to be measured is smaller than the target stress, generating a stress result of the part to be measured by using a finite element method;
calculating the target achievement rate of the part to be tested according to the stress result of the part to be tested;
and obtaining the fatigue life of the part to be tested according to the target achievement rate.
Specifically, the stress of the part to be tested is calculated by using a finite element method, the stress of the part to be tested is compared with a target stress, whether a characteristic area of the part to be tested is qualified or not is judged, when the stress of the part to be tested is smaller than the target stress, the characteristic area of the part to be tested is qualified, a stress result of the part to be tested is generated, a target achievement rate of the part to be tested is calculated according to the stress result of the part to be tested, the service life of the part to be tested reaching multiple times is evaluated according to the target achievement rate, the fatigue life of the part to be tested is obtained, and the fatigue life error is reduced.
In one embodiment, calculating the target achievement rate of the component to be tested according to the stress result of the component to be tested specifically includes:
calculating the target achievement rate of the part to be measured by using the following formula:
wherein, P is the target achievement rate; saiThe stress result of the part to be tested is obtained.
Specifically, the curvature K calculated as described abovetiEquivalent fatigue life cycle number N of history partsciAnd the equivalent fatigue life cycle number N of the part to be testedaHistorical part stress SciAnd stress result S of the part to be testedaiAnd (4) calculating a target achievement rate P by using the formula (6), and evaluating the multiple of the service life of the part to be tested according to the target achievement rate, so that the fatigue life of the part to be tested is obtained, and the fatigue life error is reduced.
The following describes the working flow of the method for calculating the fatigue life of the automobile part, taking the trimming area of the automobile suspension part as an example, and specifically includes the following steps:
first, calculating the curvature K of the stress-life curve of the developed suspension componentti；
Under the action of different loads, a certain developed suspension component utilizes a finite element method and a simulation analysis method to obtain the fatigue life of the finished cut edge and a corresponding simulation analysis stress result, and the following table 1 shows:
TABLE 1
Calculating the curvature K of the cut edge by using the formula (1) and a least square methodti＝-0.28。
Secondly, calculating the cycle number of the equivalent fatigue life;
the completed suspension components (i.e., historical components) were developed and the test results at a level of 5 load are shown in table 2 below, when at a level of 5 load,when the circulation is 150000 times and the cutting edge is cracked, the equivalent fatigue life circulation times N of the cutting edge are calculated by using the formulas (2) and (3)ciIs 31626.
TABLE 2
The required cycle times of the fatigue life of the to-be-tested trim of a newly developed automobile suspension component are shown in the following table 3, and the fatigue conversion coefficient and the required cycle times N of the equivalent fatigue life are calculated by using the formulas (2) and (3)a16532 times.
TABLE 3
Thirdly, calculating target stress;
and (3) calculating the stress safety coefficient and the target stress of the to-be-measured trimming edge by using the formulas (4) and (5), wherein the stress safety coefficient and the target stress are shown in the following table 4:
TABLE 4
And fourthly, achieving the rate of new product key areas.
The target achievement rates of the trims 1 and 2 were calculated by the equation (6), and the fatigue lives of the trims 1 and 2 were obtained from the target achievement rates as shown in table 5 below.
TABLE 5
Example two
A second embodiment of the present invention provides a storage medium storing computer instructions for executing all the steps of the method for calculating the fatigue life of an automobile part as described above when the computer executes the computer instructions.
EXAMPLE III
As shown in fig. 2, fig. 2 is a schematic diagram of a hardware structure of an electronic device for executing a method for calculating a fatigue life of an automobile component according to a third embodiment of the present invention, and the electronic device mainly includes: at least one processor 21; and a memory 22 communicatively coupled to the at least one processor 21; the memory 22 stores instructions executable by the processor 21, and the instructions are executed by the at least one processor 21, so that the at least one processor 21 can execute the method for calculating the fatigue life of the automobile part according to any embodiment of the present application.
The electronic device performing the method of calculating the fatigue life of the automobile part may further include: an input device 23 and an output device 24.
The processor 21, the memory 22, the input device 23 and the output device 24 may be connected by a bus or other means, and fig. 2 illustrates the bus connection.
The memory 22, which is a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the method for calculating the fatigue life of an automobile part in the embodiment of the present application, for example, the method flow shown in fig. 1. The processor 21 executes various functional applications and data processing by executing the nonvolatile software programs, instructions and modules stored in the memory 22, that is, implements the method for calculating the fatigue life of the automobile parts in the above embodiments.
The memory 22 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of a calculation method of fatigue life of the automobile parts, and the like. Further, the memory 22 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 22 may optionally include a memory remotely located from the processor 21, and these remote memories may be connected via a network to a device that performs the method of calculating the fatigue life of the automobile component. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 23 may receive input from a user click and generate signal inputs related to user settings for the method of calculating fatigue life of the automobile component and function control. The output device 24 may include a display device such as a display screen.
The method of calculating the fatigue life of the automotive component in any of the above method embodiments is performed when the one or more modules are stored in the memory 22 and executed by the one or more processors 21.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
The electronic device of embodiments of the present invention exists in a variety of forms, including but not limited to:
(1) an Electronic Control Unit (ECU) is also called a "traveling computer" or a "vehicle-mounted computer". The digital signal processor mainly comprises a microprocessor (CPU), a memory (ROM and RAM), an input/output interface (I/O), an analog-to-digital converter (A/D), a shaping circuit, a driving circuit and other large-scale integrated circuits.
(2) A mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include: smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(3) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc.
(4) A portable entertainment device: such devices can display and play multimedia content. This type of device comprises: audio, video players (e.g., ipods), handheld game consoles, electronic books, and smart toys and portable car navigation devices.
(5) A server: the device for providing the computing service comprises a processor, a hard disk, a memory, a system bus and the like, and the server is similar to a general computer architecture, but has higher requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because of the need of providing high-reliability service.
(6) And other electronic devices with data interaction functions.
Furthermore, the logic instructions in the memory 22 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a mobile terminal (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by software plus a necessary general hardware server, and of course, can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
The foregoing is considered as illustrative only of the principles and preferred embodiments of the invention. It should be noted that, for those skilled in the art, several other modifications can be made on the basis of the principle of the present invention, and the protection scope of the present invention should be regarded.
Claims (10)
1. A method for calculating the fatigue life of an automobile part is characterized by comprising the following steps:
acquiring the curvature of a pre-stored relation curve between stress and service life of a historical part, wherein the historical part corresponds to the part to be tested;
acquiring a current level amplitude and a maximum amplitude of the part to be detected in at least one level of dynamic load;
calculating the equivalent fatigue life cycle number of the part to be tested according to the current level amplitude and the maximum amplitude;
calculating the target stress of the part to be tested according to the curvature and the equivalent fatigue life cycle number of the part to be tested;
and calculating the fatigue life of the part to be tested according to the target stress.
2. The method of claim 1, wherein the obtaining the curvature of the stress versus life curve of the pre-stored historical part comprises:
acquiring stress of historical parts and data of corresponding service lives of the historical parts;
and performing curve fitting on the stress of the historical part and the corresponding data of the service life of the historical part to obtain the curvature of the relation curve of the historical stress and the service life.
3. The method of calculating as set forth in claim 2, wherein said obtaining data of stress of a historical part and corresponding life of said historical part comprises:
and acquiring the stress of the historical parts and the service life of the historical parts corresponding to the historical parts in the at least one stage of dynamic load by using a finite element method.
4. The method of claim 2, wherein curve fitting the stress of the historical component and the corresponding life data of the historical component to obtain the curvature of the historical stress versus life curve comprises:
selecting a double logarithmic function as a function model to be selected according to the stress of the historical parts and the service life of the historical parts;
fitting the stress of the historical part, the service life of the historical part and the log-log function respectively to generate a relation curve of the historical stress and the service life;
and calculating the curvature of the historical stress-life relation curve by using a least square method.
5. The calculation method according to claim 2, wherein the calculating the number of cycles of the equivalent fatigue life of the component to be tested according to the current level amplitude and the maximum amplitude comprises:
calculating the fatigue conversion coefficient of the part to be measured under each stage of dynamic load by using the following formula:
wherein, betaiThe fatigue conversion coefficient is used; fmaxThe maximum amplitude of the part to be tested in at least one stage of dynamic load is obtained; fiThe amplitude of the ith level of the part to be tested in at least one level of dynamic load is obtained;
calculating the equivalent fatigue life cycle number of the part to be measured by using the following formula:
wherein N isaThe equivalent fatigue life cycle number of the part to be tested is obtained; n is the level number of the dynamic load; n is a radical ofiAnd the cycle number of the fatigue life of the ith level of the part to be tested in at least one level of dynamic load is obtained.
6. The method of calculating as claimed in claim 5, wherein said calculating a target stress of the part under test based on the curvature and the number of cycles of equivalent fatigue life of the part under test comprises:
acquiring the equivalent fatigue life cycle times of the historical parts;
calculating the stress safety coefficient of the part to be measured by using the following formula:
wherein alpha issThe stress safety coefficient of the part to be tested is obtained; alpha is a constant; n is a radical ofciThe equivalent fatigue life cycle number of the historical parts is obtained;
calculating the target stress according to the historical part stress by using the following formula:
Sti＝Sci×αs
wherein S istiThe target stress of the part to be measured is obtained; sciAnd the historical part stress is used.
7. The calculation method according to any one of claims 1 to 6, wherein the calculating the fatigue life of the part to be tested according to the target stress comprises:
acquiring the stress of the part to be measured by using a finite element method;
when the stress of the part to be measured is smaller than the target stress, calculating the stress result of the part to be measured by using the finite element method;
calculating the target achievement rate of the part to be tested according to the stress result of the part to be tested;
and obtaining the fatigue life of the part to be tested according to the target achievement rate.
8. The method according to claim 7, wherein the calculating the target achievement rate of the component under test according to the stress result of the component under test comprises:
calculating the target achievement rate of the part to be tested by using the following formula:
wherein P is the target achievement rate; saiAnd obtaining the stress result of the part to be tested.
9. A storage medium storing computer instructions for performing the method of calculating fatigue life of an automobile part according to any one of claims 1 to 8 when the computer instructions are executed by a computer.
10. An electronic device, comprising a processor and a memory communicatively connected to the processor, wherein the memory is used for storing a computer program, and the processor is used for calling the computer program to implement the method for calculating the fatigue life of the automobile part according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010629522.3A CN111832163A (en) | 2020-06-30 | 2020-06-30 | Method for calculating fatigue life of automobile part, storage medium and electronic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010629522.3A CN111832163A (en) | 2020-06-30 | 2020-06-30 | Method for calculating fatigue life of automobile part, storage medium and electronic device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111832163A true CN111832163A (en) | 2020-10-27 |
Family
ID=72900263
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010629522.3A Pending CN111832163A (en) | 2020-06-30 | 2020-06-30 | Method for calculating fatigue life of automobile part, storage medium and electronic device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111832163A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102597734A (en) * | 2009-08-27 | 2012-07-18 | Skf公司 | Bearing life-cycle prognostics |
| US20120271566A1 (en) * | 2011-04-21 | 2012-10-25 | Vinayak Deshmukh | Method for the prediction of fatigue life for structures |
| KR20130010627A (en) * | 2011-07-19 | 2013-01-29 | 한국항공우주산업 주식회사 | Method and computer-readable recording medium for estimating safe life of dynamic components |
| CN104268335A (en) * | 2014-09-23 | 2015-01-07 | 工业和信息化部电子第五研究所 | Vibration fatigue life predication method and system for micro-packaging assembly |
| CN104517012A (en) * | 2014-12-25 | 2015-04-15 | 芜湖市汽车产业技术研究院有限公司 | Method and device both for calculating strain time history of non-linear structure |
| CN106644464A (en) * | 2016-11-18 | 2017-05-10 | 南京工业大学 | Rolling mill transmission system key component fatigue life early warning method based on load spectrum analysis |
| CN107387333A (en) * | 2017-09-08 | 2017-11-24 | 北京金风科创风电设备有限公司 | Method and device for determining fatigue damage of tower component of wind generating set |
| CN109033709A (en) * | 2018-08-30 | 2018-12-18 | 电子科技大学 | Predict Fatigue Life of Components appraisal procedure based on nonlinear fatigue damage accumulation theory |
| CN109426685A (en) * | 2017-08-28 | 2019-03-05 | 长城汽车股份有限公司 | Parts analysis method |
| CN111159849A (en) * | 2019-12-06 | 2020-05-15 | 西北工业大学 | Life prediction method and device, storage medium, and electronic device |
-
2020
- 2020-06-30 CN CN202010629522.3A patent/CN111832163A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102597734A (en) * | 2009-08-27 | 2012-07-18 | Skf公司 | Bearing life-cycle prognostics |
| US20120271566A1 (en) * | 2011-04-21 | 2012-10-25 | Vinayak Deshmukh | Method for the prediction of fatigue life for structures |
| KR20130010627A (en) * | 2011-07-19 | 2013-01-29 | 한국항공우주산업 주식회사 | Method and computer-readable recording medium for estimating safe life of dynamic components |
| CN104268335A (en) * | 2014-09-23 | 2015-01-07 | 工业和信息化部电子第五研究所 | Vibration fatigue life predication method and system for micro-packaging assembly |
| CN104517012A (en) * | 2014-12-25 | 2015-04-15 | 芜湖市汽车产业技术研究院有限公司 | Method and device both for calculating strain time history of non-linear structure |
| CN106644464A (en) * | 2016-11-18 | 2017-05-10 | 南京工业大学 | Rolling mill transmission system key component fatigue life early warning method based on load spectrum analysis |
| CN109426685A (en) * | 2017-08-28 | 2019-03-05 | 长城汽车股份有限公司 | Parts analysis method |
| CN107387333A (en) * | 2017-09-08 | 2017-11-24 | 北京金风科创风电设备有限公司 | Method and device for determining fatigue damage of tower component of wind generating set |
| CN109033709A (en) * | 2018-08-30 | 2018-12-18 | 电子科技大学 | Predict Fatigue Life of Components appraisal procedure based on nonlinear fatigue damage accumulation theory |
| CN111159849A (en) * | 2019-12-06 | 2020-05-15 | 西北工业大学 | Life prediction method and device, storage medium, and electronic device |
Non-Patent Citations (1)
| Title |
|---|
| 戴钰冰;曹娜;江丽娟;李明;: "一种旋转设备疲劳寿命预测的新方法", 现代制造技术与装备, no. 02 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112163351A (en) | Simulation analysis method and device for battery bracket | |
| US9098673B2 (en) | Structural optimization for vehicle crashworthiness | |
| CN114330042A (en) | Program load spectrum compiling method and system based on SN curve and storage medium | |
| CN110516334B (en) | Convolution calculation simulation test method and device based on hardware environment and related equipment | |
| CN111185909B (en) | Robot operation condition acquisition method and device, robot and storage medium | |
| CN113569432B (en) | Simulation detection method and system for liquid-air-tight element | |
| CN111832163A (en) | Method for calculating fatigue life of automobile part, storage medium and electronic device | |
| CN112985867B (en) | Steering engine testing method, device, equipment and storage medium | |
| CN110989497B (en) | Multi-axis multi-excitation vibration control combination selection method and system based on iterative optimization | |
| CN114371018B (en) | Bench endurance test method and system for suspension bracket of automobile power assembly | |
| CN109165438A (en) | The Prediction method for fatigue life of carbon fibre reinforced composite workpiece | |
| CN114912329A (en) | Modeling method and device of battery pack model, electronic equipment and storage medium | |
| CN107678967B (en) | Unit test coverage rate generation method and device, readable storage medium and equipment | |
| CN112784376A (en) | Method and device for determining structural parameters of battery pack and electronic equipment | |
| CN112861261A (en) | Vehicle body attachment point dynamic stiffness post-processing method and device and electronic equipment | |
| CN112632883B (en) | Method, device, equipment and medium for testing simulation result of device model | |
| CN110321664B (en) | Macpherson suspension wheel track change determination method and device | |
| CN112733433A (en) | Equipment testability strategy optimization method and device | |
| CN110209566B (en) | Method and device for testing software | |
| CN113127969A (en) | Automobile damping plate simulation modeling method, device, equipment and storage medium | |
| CN117669319A (en) | Random vibration analysis method and device for vehicle bracket, medium and electronic equipment | |
| CN111814248A (en) | Structure optimization method, storage medium and electronic device | |
| CN115270584B (en) | Lightweight method suitable for new energy electric vehicle battery bracket | |
| CN113468772B (en) | Method and device for processing random vibration of battery cell | |
| CN115238379A (en) | Method, device and equipment for optimizing wind noise performance of automobile and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |