Simulation analysis-based motor bearing snap spring reliability prediction method, system and device, and storage medium
Through simulation analysis and finite element modeling, the reliability of motor bearing springs is predicted, which solves the problem of lack of prediction methods in the early stage of design in the existing technology, and achieves rapid and accurate reliability evaluation, reducing test costs and R&D cycle.
Patent Information
- Application Number
- CN202411010216.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-26
- Publication Date
- 2024-12-10
AI Technical Summary
There is a lack of effective methods in the prior art to predict the reliability of motor bearing springs in the early stages of design, resulting in high test costs and long R&D cycles, and failure of bearing springs may lead to equipment safety risks.
Using a simulation analysis method, through finite element modeling and mechanical software calculation, the relative displacement between the bearing spring and the spring groove is simulated, combined with the spring unit and bearing stiffness, impact load is applied, stress, strain and displacement are calculated, and the stress, strain and displacement are calculated, and the Reliability of the spring until the design requirements are met.
Quickly and accurately evaluate the reliability of bearing springs in the early stage of structural design, save test costs, shorten R&D cycles, and improve the accuracy and confidence of calculation results.
Smart Images
Figure CN119106577A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of automotive technology, specifically relating to a method, system, device, and storage medium for predicting the reliability of motor bearing retaining rings based on simulation analysis. Background Art
[0002] A bearing retainer is an elastic element fixed to a shaft or cavity, which uses elasticity to secure bearings or other components to the shaft. Its function is to prevent slippage or disengagement of bearings or other components during high-speed rotation, ensuring the safe operation of the equipment.
[0003] Failure of bearing retainers in actual operation can significantly reduce their supporting and damping functions, compromising the normal operation of the bearing and potentially causing the motor to stop working, leading to unforeseen dangers. Therefore, reliability verification of bearing retainers is crucial. However, due to a lack of verification methods in the early design stages, verification can only be achieved through later testing. If a bearing retainer fails during testing, a complete redesign and retesting is necessary, increasing testing costs and extending the development cycle. Therefore, there is an urgent need to provide a simulation-based reliability prediction method for motor bearing retainers. Summary of the Invention
[0004] To address the problems existing in the reliability verification of bearing snap rings in the prior art, this invention provides a method, system, device, and storage medium for predicting the reliability of motor bearing snap rings based on simulation analysis. This method can predict and evaluate the reliability of bearing snap rings in the early stages of structural design, saving testing costs and shortening the R&D cycle.
[0005] The present invention is achieved through the following technical solutions:
[0006] In a first aspect, the present invention provides a method for predicting the reliability of motor bearing retaining rings based on simulation analysis, specifically including the following steps:
[0007] S1. Import the geometric model for finite element modeling;
[0008] S2. Assemble the model according to the actual assembly;
[0009] S3. Define contact and establish the contact relationship between various parts;
[0010] S4. Define the finite element model materials, wave spring stiffness, bearing stiffness, and define the elastic modulus E, Poisson's ratio μ, stress-strain curves, and spring element stiffness curves for each component's finite element model materials.
[0011] S5. Define the boundary and constrain all degrees of freedom of the reducer flange node except for the rotor assembly axial direction to simulate the bench installation state.
[0012] S6. Apply impact load and axial load at the model constraint point according to the test requirements;
[0013] S7. Use mechanics software to solve the finite element model and calculate and analyze the stress, strain and displacement of the part;
[0014] S8. Based on the calculation results obtained in step S7, obtain the relative displacement between the retaining ring and the retaining ring groove. If it is less than the limit, the design requirements are met; otherwise, the retaining ring needs to be reselected until the design requirements are met.
[0015] Furthermore, step S1 specifically includes the following:
[0016] The bearing retaining ring is modeled using a 1mm hexahedral mesh with fine detail, ensuring that the mesh size of the corresponding motor shaft retaining ring groove area is similar and the shape is uniform and regular; the wave spring is simulated by combining rigid elements and spring elements, and the bearing uses spring elements to replace the bearing balls.
[0017] Furthermore, the wave spring is simulated by combining rigid units and spring units, specifically as follows: rigid units are established by grasping the nodes of the contact area between the outer ring of the bearing and the wave spring, and rigid units are established by grasping the nodes of the contact area between the bearing housing and the wave spring. The two main points are ensured to be on the rotating shaft of the rotor assembly, and the two main points are connected by spring units.
[0018] Furthermore, the bearing utilizes spring units instead of bearing balls, specifically as follows: springs connect the nodes of the outer ring and inner ring of the bearing, specifically covering all the trajectory surfaces of the bearing balls during operation.
[0019] Furthermore, in step S2, the assembly model should include: motor, reducer, stator, rotor assembly, bearing housing, bearing and bolts.
[0020] Furthermore, in step S3, the snap ring and snap ring groove, the snap ring and bearing, the bearing and shaft, and the bearing and bearing housing are established in CONTACT PAIR contact; except for the bearing, all parts involved in interference fit are established in TIE connection relationship.
[0021] Secondly, the present invention also provides a reliability prediction system for motor bearing snap rings based on simulation analysis, for implementing the above method, comprising:
[0022] The modeling module is used to import geometric models for finite element modeling.
[0023] Assembly module, used to assemble the actual model;
[0024] Define a contact module to establish the contact relationships between various parts;
[0025] The definition module is used to define the materials, stiffness of the wave spring, and stiffness of the bearing in the finite element model. It also defines the elastic modulus E, Poisson's ratio μ, stress-strain curves, and stiffness curves of the spring element materials for each component in the finite element model.
[0026] The boundary definition module is used to define boundaries and constrain all degrees of freedom of the reducer flange nodes except for the rotor assembly axial direction, simulating the bench installation state;
[0027] The impact load application module is used to apply axial loads at the model constraint points according to test requirements;
[0028] The solver module is used to solve finite element models using mechanics software, and to calculate and analyze the stress, strain and displacement of parts.
[0029] The judgment module is used to obtain the relative displacement between the retaining ring and the retaining ring groove based on the calculation results. If it is less than the limit, the design requirements are met; otherwise, the retaining ring needs to be reselected until the design requirements are met.
[0030] Thirdly, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the simulation analysis-based method for predicting the reliability of motor bearing retaining rings as described in any one of the present invention.
[0031] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the simulation analysis-based method for predicting the reliability of motor bearing retaining rings as described in any one of the present invention.
[0032] Compared with the prior art, the advantages of the present invention are as follows:
[0033] 1. The present invention provides a method for predicting the reliability of motor bearing retaining rings based on simulation analysis. Relying on the advantages of fast and accurate finite element analysis, the reliability of bearing retaining rings can be predicted and evaluated in the early stage of structural design, saving test costs and shortening the research and development cycle.
[0034] 2. This invention provides a method for predicting the reliability of motor bearing retaining rings based on simulation analysis. It uses a simplified spring unit method to simulate the stiffness of waveform springs and bearings, which greatly improves the calculation efficiency while ensuring the accuracy of the calculation results.
[0035] 3. This invention uses a motor assembly model for simulation analysis to fully simulate the actual test bench conditions and improve the confidence level of the calculation results. Attached Figure Description
[0036] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.
[0037] Figure 1 This is a flowchart illustrating a simulation analysis-based method for predicting the reliability of motor bearing retaining rings according to the present invention.
[0038] Figure 2 This is a schematic diagram of the impact verification model for the snap ring;
[0039] Figure 3 The stress-strain curve of the snap ring material;
[0040] Figure 4 This is a schematic diagram of the structure of an electronic device according to Embodiment 3 of the present invention;
[0041] In the diagram: 1. Reducer housing; 2. Reducer side bearing; 3. Reducer shaft; 4. Motor shaft; 5. Rotor; 6. Motor housing; 7. Bearing seat; 8. Simplified model of wave spring; 9. Snap ring; 10. Motor side bearing; 11. Stator. Detailed Implementation
[0042] To clearly and completely describe the technical solution and its specific working process of the present invention, the specific embodiments of the present invention are as follows, in conjunction with the accompanying drawings:
[0043] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0044] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.
[0045] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.
[0046] Example 1
[0047] like Figure 1 As shown in the figure, this embodiment provides a method for predicting the reliability of motor bearing snap rings based on simulation analysis, which specifically includes the following steps:
[0048] S1. Import the geometric model for finite element modeling. The bearing retaining ring is modeled using a 1mm hexahedral mesh, ensuring that the corresponding motor shaft retaining ring groove area has a similar mesh size and uniform shape. The wave spring is simulated using a combination of rigid elements and spring elements. Specifically, rigid elements are created by capturing the nodes of the contact area between the bearing outer ring and the wave spring, and rigid elements are also created by capturing the nodes of the contact area between the bearing housing and the wave spring. The two main points are ensured to be on the rotor assembly rotation axis, and the two main points are connected by spring elements. The bearing uses spring elements to replace the bearing balls. Specifically, springs are used to connect the nodes of the bearing outer ring and the bearing inner ring, and the specific area is all the trajectory surfaces of the bearing balls during operation.
[0049] like Figure 2 As shown in Figure S2, according to the actual assembly model, the assembly model should include: motor, reducer, stator, rotor assembly, bearing housing, bearings and bolts, etc.
[0050] S3. Define contacts and establish contact relationships between various parts. Among them, establish CONTACT PAIR contacts between the circlip and the circlip groove, the circlip and the bearing, the bearing and the shaft, and the bearing and the bearing housing. Except for the bearing, establish TIE connection relationships for all parts involved in interference fit.
[0051] like Figure 3As shown in Figure S4, define the finite element model materials, wave spring stiffness, and bearing stiffness. Define the elastic modulus E, Poisson's ratio μ, stress-strain curves, and spring element stiffness curves for each component's finite element model materials. Typically, for steel, E = 210000 MPa and μ = 0.30; for aluminum alloy, E = 70000 MPa and μ = 0.33. The effective stiffness of the wave spring within its working range is 131 N / mm. The radial stiffness of the motor-side bearing is 205104 N / mm, and the axial stiffness is 17543 N / mm. The radial stiffness of the reducer-side bearing is 217842 N / mm, and the axial stiffness is 19034 N / mm.
[0052] S5. Define the boundary and constrain all degrees of freedom of the reducer flange node except for the rotor assembly axis. Simulate the bench installation state and constrain the degrees of freedom in directions 1 and 3 according to the model coordinate system state.
[0053] S6. Apply impact load. According to the test requirements, apply axial load at the model constraint point. The impact excitation is as follows:
[0054] Test Procedure Parameter requirements Impact waveform Sine wave (half-wave) Testing direction ±y Acceleration value (m / s^2) 500 Pulse duration (ms) 6 Number of impacts 10 times
[0055] S7. Use mechanics software to solve the finite element model and calculate and analyze the stress, strain and displacement of the parts;
[0056] S8. Based on the calculation results obtained in step S7, the relative displacement between the snap ring and the snap ring groove is 0.01mm, which is less than the limit of 0.03mm and meets the design requirements.
[0057] Example 2
[0058] This embodiment provides a simulation analysis-based reliability prediction system for motor bearing retaining rings, used to implement the above method, including:
[0059] The modeling module is used to import geometric models for finite element modeling.
[0060] Assembly module, used to assemble the actual model;
[0061] Define a contact module to establish the contact relationships between various parts;
[0062] The definition module is used to define the materials, stiffness of the wave spring, and stiffness of the bearing in the finite element model. It also defines the elastic modulus E, Poisson's ratio μ, stress-strain curves, and stiffness curves of the spring element materials for each component in the finite element model.
[0063] The boundary definition module is used to define boundaries and constrain all degrees of freedom of the reducer flange nodes except for the rotor assembly axial direction, simulating the bench installation state;
[0064] The impact load application module is used to apply axial loads at the model constraint points according to test requirements;
[0065] The solver module is used to solve finite element models using mechanics software, and to calculate and analyze the stress, strain and displacement of parts.
[0066] The judgment module is used to obtain the relative displacement between the retaining ring and the retaining ring groove based on the calculation results. If it is less than the limit, the design requirements are met; otherwise, the retaining ring needs to be reselected until the design requirements are met.
[0067] Example 3
[0068] Figure 4 This is a schematic diagram of the structure of a computer device in Embodiment 3 of the present invention. Figure 4 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 4 The computer device 12 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.
[0069] like Figure 4 As shown, computer device 12 is implemented as a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).
[0070] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.
[0071] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.
[0072] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 4Not shown; usually referred to as a "hard drive"). Although Figure 4 Not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.
[0073] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include—but are not limited to—an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.
[0074] The computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via the input / output (I / O) interface 22. Furthermore, in this embodiment, the display 24 of the computer device 12 is not an independent entity, but is embedded in a mirror, so that when the display surface of the display 24 is not displayed, the display surface of the display 24 and the mirror surface visually blend together. Moreover, the computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.
[0075] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing a simulation analysis-based method for predicting the reliability of motor bearing snap rings provided in this embodiment of the invention.
[0076] Example 4
[0077] Embodiment 4 of the present invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a simulation analysis-based method for predicting the reliability of motor bearing snap rings as provided in all embodiments of the present application.
[0078] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.
[0079] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including—but not limited to—electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of transmitting, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.
[0080] The program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.
[0081] Computer program code for performing the operations of this invention can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, as well as conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0082] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.
Claims
1. A motor bearing retainer reliability prediction method based on simulation analysis, characterized in that: The specific steps include: S1. Import the geometric model for finite element modeling; S2, assemble the model according to the actual situation; S3. Define contact and establish contact relationship between parts; S4. Define the finite element model material, wave spring stiffness, bearing stiffness, and define the elastic modulus E, Poisson's ratio μ, stress-strain curve, and spring unit stiffness curve of the finite element model material of each component; S5. Define the boundary, constrain all degrees of freedom of the reducer flange surface node except the axial direction of the rotor assembly, and simulate the bench installation state; S6. Apply impact load. According to the test requirements, apply axial load at the model constraint point; S7. Use mechanical software to solve and calculate the finite element model, and calculate and analyze the stress, strain and displacement of parts; S8. According to the calculation result obtained in step S7, the relative displacement between the retaining spring and the retaining spring groove is obtained. If it is less than the limit value, the design requirement is met. Otherwise, the retaining spring needs to be reselected until the design requirement is met.
2. A method for predicting the reliability of a motor bearing retainer based on simulation analysis as claimed in claim 1, characterized in that: Step S1 specifically includes the following contents: The bearing retaining spring is modeled with a 1mm hexahedral mesh, and the mesh size of the corresponding motor shaft retaining spring groove area is ensured to be comparable and the shape is uniform and regular; the wave spring is simulated by combining rigid units and spring units, and the bearing uses spring units instead of bearing balls.
3. A method for predicting the reliability of a motor bearing retainer based on simulation analysis as claimed in claim 2, characterized in that: The wave spring is simulated by combining a rigid unit with a spring unit, specifically as follows: grab the nodes of the contact area between the outer ring of the bearing and the wave spring to establish a rigid unit, grab the nodes of the contact area between the bearing chamber and the wave spring to establish a rigid unit, and the two main points are guaranteed to be on the rotating axis of the rotor assembly, and the two main points are connected by a spring unit.
4. A method for predicting reliability of motor bearing retainer based on simulation analysis as claimed in claim 2, characterized in that: The bearing utilizes a spring unit to replace the bearing ball, specifically as follows: a spring is used to connect the nodes of the bearing outer ring and the bearing inner ring, and the specific area is all the track surfaces when the bearing ball is working.
5. The method for predicting the reliability of a motor bearing retainer based on simulation analysis as claimed in claim 1, characterized in that: In step S2, the assembly model should include: a motor, a reducer, a stator, a rotor assembly, a bearing seat, a bearing and bolts.
6. The method for predicting the reliability of a motor bearing retainer based on simulation analysis as claimed in claim 1, characterized in that: In step S3, CONTACT PAIR contacts are established between the circlip and the circlip groove, between the circlip and the bearing, between the bearing and the shaft, and between the bearing and the bearing chamber; except for the bearing, all parts involved in the interference fit are connected in a TIE relationship.
7. A motor bearing retainer reliability prediction system based on simulation analysis, used to implement the method according to any one of claims 1 to 6, characterized in that: include: Modeling module, used to import geometric models for finite element modeling; Assembly module, used to assemble the model according to the actual situation; Define the contact module to establish the contact relationship between parts; Definition module, used to define finite element model materials, wave spring stiffness, bearing stiffness, elastic modulus E, Poisson's ratio μ, stress-strain curve and spring unit stiffness curve of finite element model materials of each component; Define boundary module, which is used to define the boundary, constrain all degrees of freedom of the reducer flange surface node except the axial direction of the rotor assembly, and simulate the bench installation state; Impact load application module, used to apply axial load at the model constraint point according to test requirements; The solution module is used to solve and calculate the finite element model using mechanical software, and calculate and analyze the stress, strain and displacement of parts; The judgment module is used to obtain the relative displacement between the retaining spring and the retaining spring groove according to the calculation results. If it is less than the limit value, the design requirements are met. Otherwise, the retaining spring needs to be reselected until the design requirements are met.
8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for predicting the reliability of a motor bearing retaining spring based on simulation analysis as described in any one of claims 1 to 6 is implemented.
9. A computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the method for predicting the reliability of a motor bearing retainer based on simulation analysis as claimed in any one of claims 1 to 6 is implemented.