Simulation calculation method, device and equipment for three-dimensional thermal performance of speed reducer bearing and medium
Through three -dimensional thermal performance simulation calculation method, the problem of high measurement costs and low efficiency of the reducer bearing temperature of the reducer, and achieved accurate evaluation and efficient monitoring of the reducer bearing temperature field.
Patent Information
- Application Number
- CN202411202798.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-29
- Publication Date
- 2025-01-24
AI Technical Summary
The existing reducer bearing temperature measurement methods are costly and have low measurement efficiency, making it difficult to effectively monitor the temperature of the bearing inner ring and roller.
The three-dimensional thermal performance simulation calculation method is used to obtain the three-dimensional model of the reducer bearing, perform pre-processing and meshing, use three-dimensional simulation software to calculate the heat transfer intensity and calorific value, and import the thermal simulation software to calculate the temperature field.
The accurate assessment of the reducer bearing temperature field was achieved, the measurement efficiency was improved, the cost was reduced, and the thermal disorders of the bearings were monitored.
Smart Images
Figure CN119358154A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of reducers, and in particular to a method, device, equipment and medium for simulating and calculating the three-dimensional thermal performance of reducer bearings. Background Art
[0002] The reducer and transmission bearings are mainly used to bear the load of the shaft. They are usually lubricated by gear stirring lubricant splashing, lubricant spraying or pre-applying grease. When lubrication is insufficient, the bearing will face thermal failure due to overheating, which may cause wear, deformation and even cracking of the bearing raceway and roller, resulting in reduced reliability. At present, the main test method is to monitor the risk of thermal failure under different working conditions, arrange thermocouples or use infrared equipment for temperature measurement. However, since the inner ring and roller of the bearing are in a rotating state and the surrounding space is small, it is not easy to arrange the sensor. Generally, only the temperature of the outer ring of the bearing in a stationary state can be measured. The cost of the single test equipment using infrared equipment for temperature measurement is high, and it also affects the measurement efficiency. Summary of the invention
[0003] The purpose of the embodiments of the present application is to provide a three-dimensional thermal performance simulation calculation method, device, equipment and medium for a reducer bearing, so as to solve the problem of high cost and low measurement efficiency of the existing reducer bearing temperature measurement method.
[0004] In a first aspect, an embodiment of the present application provides a method for simulating and calculating the three-dimensional thermal performance of a reducer bearing, the method comprising:
[0005] Obtaining a three-dimensional model of a reducer bearing and performing pre-processing on the three-dimensional model;
[0006] The heat transfer intensity at each location of the bearing is calculated using 3D simulation software to obtain the convective heat transfer coefficient;
[0007] Based on the heat calculation model, the heat generation is calculated according to the parameters of the bearing parts;
[0008] Import the 3D model into the thermal simulation software, and import the bearing parameters and heat generation to calculate the temperature field.
[0009] In the above implementation process, a three-dimensional model of the reducer bearing is obtained and pre-processed; the heat exchange intensity of each part of the bearing is calculated by three-dimensional simulation software to obtain the convective heat transfer coefficient; based on the heat calculation model, the heat generation is calculated according to the parameters of the bearing parts; the three-dimensional model is imported into the thermal simulation software, and the parameters and heat generation of the bearing are imported to calculate the temperature field; the temperature field of the reducer bearing is evaluated to improve the measurement efficiency on the basis of ensuring accuracy, while at a low cost.
[0010] Furthermore, the step of obtaining the three-dimensional model of the reducer bearing and pre-processing the three-dimensional model includes:
[0011] Obtain the 3D model of the reducer bearing and import it into the 3D simulation software to ensure that the 3D model is complete;
[0012] Simplify the three-dimensional model;
[0013] Group the parts of the 3D model and export them.
[0014] In the above implementation process, pre-processing of the three-dimensional direction is realized, and then thermal calculation is performed.
[0015] Furthermore, the heat transfer intensity of each part of the bearing is calculated by three-dimensional simulation software to obtain the convection heat transfer coefficient, including:
[0016] Import the pre-processed 3D model into the meshing software for simulation setting operations;
[0017] Input mesh parameters, draw meshes for parts of the 3D model, and divide and group the drawn mesh parts;
[0018] Export the meshed parts to the 3D simulation software, set the simulation solution parameters, and calculate the convective heat transfer coefficient.
[0019] In the above implementation process, the parts are meshed and the convective heat transfer coefficient is calculated to facilitate the calculation of the temperature field of each part.
[0020] Furthermore, the setting of simulation solution parameters and calculation of the convection heat transfer coefficient includes:
[0021] Set the nozzle at the corresponding position according to the working condition to be simulated, and set the nozzle flow and oil parameters;
[0022] Set the parts that need to rotate and set the rotation parameters;
[0023] Perform heat transfer settings on the parts that need to calculate the heat transfer coefficient and set boundaries;
[0024] Setting basic simulation parameters, wherein the basic simulation parameters include part particle size, gravity size, gravity direction and calculation boundary;
[0025] Calculate the heat transfer intensity of each part of the bearing and obtain the convection heat transfer coefficient;
[0026] Load the results and export the 3D simulation files of each part.
[0027] In the above implementation process, the convection heat transfer coefficient is calculated to facilitate the subsequent calculation of the temperature distribution of the parts.
[0028] Furthermore, the heat generation is calculated based on the heat generation calculation model and according to the parameters of the bearing parts, including:
[0029] Through one-dimensional simulation software, based on the shaft tooth loss calculation model, the loss value caused by oil stirring and friction extrusion of the bearing is calculated according to the physical parameters and working conditions of the bearing parts; wherein, the bearing parts include input axial, radial, circumferential loads and bearings.
[0030] In the above implementation process, the heat generated by the part is calculated, which facilitates the subsequent calculation of the temperature distribution of the part.
[0031] Furthermore, the three-dimensional model is imported into the thermal simulation software, and the parameters and heat generation of the bearing are imported to calculate the temperature field, including:
[0032] Import the bearing components exported after drawing the mesh into the thermal simulation software;
[0033] Set material properties;
[0034] Input the calculated heat into the rollers, cages and raceways;
[0035] Set the contact thermal resistance;
[0036] Input the convection heat transfer coefficient, calculate the temperature field, and obtain the temperature distribution structure of the temperature field and the parameter values of the specific coordinates.
[0037] In the above implementation process, the temperature field is calculated to monitor the bearing temperature and avoid thermal failure.
[0038] In a second aspect, an embodiment of the present invention provides a three-dimensional thermal performance simulation calculation device for a reducer bearing, comprising:
[0039] A model processing module is used to obtain a three-dimensional model of the reducer bearing and perform pre-processing on the three-dimensional model;
[0040] The coefficient calculation module is used to calculate the heat transfer intensity at various locations of the bearing through three-dimensional simulation software to obtain the convection heat transfer coefficient;
[0041] A heat calculation module is used to calculate the heat value according to the parameters of the bearing parts based on the heat calculation model;
[0042] The result acquisition module is used to import the three-dimensional model into the thermal simulation software, and import the parameters and heat generation of the bearing to calculate the temperature field.
[0043] In a third aspect, an embodiment of the present invention provides an electronic device, including:
[0044] A processor, a memory and a bus, wherein the processor is connected to the memory via the bus, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, they are used to implement the three-dimensional thermal performance simulation calculation method for the reducer bearing as described above.
[0045] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a server, implements the three-dimensional thermal performance simulation calculation method for a reducer bearing as described above.
[0046] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes instructions, and when the instructions are executed by a computer, the computer implements the headphone button detection method as described above. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0048] Figure 1 A schematic diagram of a flow chart of a method for simulating and calculating the three-dimensional thermal performance of a reducer bearing provided in an embodiment of the present application;
[0049] Figure 2 A schematic diagram of importing a three-dimensional model of a reducer bearing provided in an embodiment of the present application;
[0050] Figure 3 A schematic diagram of the mesh division of parts provided in the embodiment of the present application;
[0051] Figure 4 A schematic diagram of the nozzle setting for the simulated working condition provided in the embodiment of the present application;
[0052] Figure 5 A schematic diagram of the rotational motion setting of a part provided in an embodiment of the present application;
[0053] Figure 6 A schematic diagram of the calculation of the heat generation of a bearing provided in an embodiment of the present application;
[0054] Figure 7 A schematic diagram of the bearing convection heat transfer coefficient results provided in the embodiments of the present application;
[0055] Figure 8 A schematic diagram of the bearing temperature distribution results provided in an embodiment of the present application;
[0056] Fig. 9 A structural diagram of a three-dimensional thermal performance simulation calculation device for a reducer bearing provided in an embodiment of the present application;
[0057] Fig.10 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0058] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.
[0059] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.
[0060] Please see Figure 1 , Figure 1 A schematic flow chart of a method for simulating and calculating the three-dimensional thermal performance of a reducer bearing provided in an embodiment of the present application. The method for simulating and calculating the three-dimensional thermal performance of a reducer bearing includes:
[0061] 100. Obtain a three-dimensional model of the reducer bearing and perform pre-processing on the three-dimensional model.
[0062] Specifically, to obtain the three-dimensional model of the reducer bearing, the reducer bearing can be modeled using drawing software; optionally, after the bearing is modeled, unnecessary details can be removed: while maintaining the key geometric features of the model (such as raceways, balls, cages, etc.), tiny manufacturing features (such as chamfers, small holes, etc.) can be removed to reduce the amount of simulation calculations; at the same time, holes and gaps can be filled: holes, gaps or unclosed surfaces in the model can be checked and repaired to ensure the airtightness of the model.
[0063] Among them, the pre-processing of the 3D model is to check, repair, simplify and export the 3D model of the analysis object in groups, which mainly includes system 3D model import, model integrity check, model simplification, model grouping and system 3D model export.
[0064] 110. Obtain the three-dimensional model of the reducer bearing and import it into the three-dimensional simulation software to ensure that the three-dimensional model is complete.
[0065] It is understandable that it is necessary to ensure that the acquired 3D model file format is compatible with the 3D simulation software. Common formats include IGES, STEP, STL, Parasolid, etc. If the format is incompatible, format conversion is required.
[0066] Optionally, select appropriate 3D simulation software according to your needs, such as ANSYS, SolidWorks Simulation, Autodesk Inventor Nastran, etc.; please refer to Figure 2 During the import process, ensure that the units of the 3D model are consistent with the unit settings in the simulation software to avoid sizing errors.
[0067] Exemplarily, determining that the three-dimensional model is complete includes: visual inspection: visual inspection of the imported model in the simulation software to check whether there are missing parts, overlapping faces, unclosed holes, etc.; geometric inspection: using the geometry inspection tool of the simulation software to automatically detect and report geometric problems in the model, such as short edges, small faces, self-intersections, etc.; assembly inspection: if the reducer bearing is part of an assembly, ensure that all components have been correctly imported and that assembly relationships (such as fit, contact, etc.) have been correctly defined; boundary condition preparation: check whether the model is ready to accept the necessary boundary condition settings, such as fluid inlet, outlet, heat source, etc.; material property assignment: verify whether the correct material properties have been assigned to each component in the model, which are particularly important for thermal simulation; meshing preview: preview possible meshing effects without actually performing meshing to ensure that key areas (such as contact surfaces, near heat sources) can be sufficiently meshed; document recording: record all key steps and problems found during model import and inspection for reference in subsequent analysis or model modification. Preferably, the embodiment of the present application is to check whether the assembly is complete and whether the model has surface defects, and if so, repair is required.
[0068] 120. Simplify the three-dimensional model.
[0069] Specifically, the three-dimensional model of the system is simplified, and unnecessary parts are deleted and simplified to reduce the simulation time. Optionally, since the focus of this simulation is the bearing temperature field, if the input is an assembly, the unnecessary parts need to be deleted, leaving only the bearing itself, and the shaft where the bearing is located can be retained.
[0070] 130. Group the parts of the 3D model and export them.
[0071] Optional: Since the speed of the rotating parts needs to be set in the subsequent simulation, the rotating rollers, cages, inner rings, and outer rings need to be grouped. If the shaft is also retained, the inner ring and the shaft need to be grouped together.
[0072] Optionally, exporting the system three-dimensional model is to export the pre-processed three-dimensional model into a geometric file type that can be recognized by simulation software.
[0073] 200. The heat transfer intensity at various locations of the bearing is calculated using three-dimensional simulation software to obtain the convective heat transfer coefficient.
[0074] It is understandable that during the operation of the bearing, heat will be generated due to friction, the flow of lubricating oil and the influence of the external environment. This heat needs to be dissipated through convection heat transfer between the bearing surface and the surrounding fluid (such as air or lubricating oil). The convection heat transfer coefficient is an important parameter to measure the efficiency of this heat transfer, which reflects the heat transferred by convection per unit area and unit temperature difference.
[0075] 210. Import the pre-processed 3D model into the meshing software for simulation setting operations.
[0076] 220. Input mesh parameters, draw meshes for parts of the 3D model, and divide and group the drawn mesh parts.
[0077] Optional, see Figure 3 The embodiment of the present application divides the parts of the drawn grid, mainly dividing the heat-generating surface raceways, rollers, etc., for applying heat loads in subsequent simulation software.
[0078] 230. Export the meshed parts to the 3D simulation software, set the simulation solution parameters, and calculate the convective heat transfer coefficient.
[0079] Optionally, you can export the meshed parts to the simulation software. You need to export each part separately: outer ring, cage, roller, inner ring, and select the export format, which is generally .stl format. You can also use .inp format, but it may increase the calculation time.
[0080] Optionally, the solution parameters of the simulation are set, including nozzle settings, speed settings, simulation condition settings, etc. Optionally, the convective heat transfer coefficient is calculated, and the temperature field and velocity field data obtained by simulation are used to calculate the convective heat transfer coefficient of each part of the bearing according to the basic theory of convective heat transfer (such as Newton's cooling law). Among them, there are many existing means to obtain velocity field data based on simulation, and this embodiment of the application does not limit this.
[0081] On the basis of the above-mentioned embodiment, the three-dimensional thermal performance simulation calculation method of the reducer bearing of the present application can also be embodied as follows: the setting of the simulation solution parameters and the calculation of the convection heat transfer coefficient include:
[0082] 231. Set the nozzle at the corresponding position according to the working condition to be simulated, and set the nozzle flow and oil parameters.
[0083] Optional, see Figure 4, according to the working conditions to be simulated, the nozzle is set at the corresponding position where the nozzle can be set. Generally, it is slightly higher than the outlet of the shell oil channel, and the shell may not be included. The position is selected according to the needs. It is mainly necessary to set the nozzle flow rate, oil parameters, etc.
[0084] 232. Set the parts that need to rotate and set the rotation parameters.
[0085] Specifically, set the rotational motion. The main moving parts are the inner ring, rollers and cage. After changing them into rotating bodies, add the rotation axis, rotation center and speed, and set them according to the required working conditions. Figure 5 shown.
[0086] 233. Perform heat transfer settings on the parts that need to calculate the heat transfer coefficient and set the boundaries.
[0087] Specifically, open the heat transfer settings in the physical property settings, set the boundaries on the parts for which the heat transfer coefficient needs to be calculated, and select the default surface.
[0088] 234. Set basic simulation parameters, wherein the basic simulation parameters include part particle size, gravity size, gravity direction and calculation boundary.
[0089] 235. Calculate the heat transfer intensity of each part of the bearing and obtain the convective heat transfer coefficient.
[0090] 236. Load the results and export the 3D simulation files of each part.
[0091] Specifically, after the calculation is completed, load the results and export the heat transfer coefficients of each part of the bearing into a .vtu file that can be recognized by the subsequent simulation software. Note that the file needs to be exported for each part.
[0092] 300. Based on the heat calculation model, the heat value is calculated according to the parameters of the bearing parts.
[0093] Specifically, through one-dimensional simulation software, based on the shaft tooth loss calculation model, the loss value caused by oil stirring and friction extrusion of the bearing is calculated according to the physical parameters and working conditions of the bearing parts; wherein, the bearing parts include input axial, radial, circumferential loads and bearings.
[0094] Optionally, the heat generation calculation is the process of calculating the heat generation of the bearing, and can also be calculated by formula, test results or other one-dimensional or three-dimensional simulation calculations; illustratively, the embodiment of the present application is calculated by one-dimensional amesim software simulation, using the shaft tooth loss calculation model, and calculating the loss value of the bearing caused by oil stirring, friction and extrusion by inputting axial, radial, circumferential loads, physical parameters of the bearing and operating conditions, such as Figure 6 shown.
[0095] Import the 3D model into the thermal simulation software, and import the bearing parameters and heat generation to calculate the temperature field.
[0096] 410. Import the bearing components exported after drawing the mesh into the thermal simulation software.
[0097] The bearing components are obtained by dividing and grouping the parts of the drawn grid.
[0098] 420. Set material properties.
[0099] Optionally, set material properties, including density, specific heat capacity, and thermal conductivity.
[0100] 430. The calculated heat generation is input into the rollers, cages and raceways.
[0101] 440. Set the contact thermal resistance.
[0102] 450. Input the convection heat transfer coefficient, calculate the temperature field, and obtain the temperature distribution structure of the temperature field and the parameter values of the specific coordinates.
[0103] Optionally, the calculated convective heat transfer coefficient is input into the three-dimensional model. The .vtu files at the first and last moments of the simulation need to be input into the software, with the first moment used as a reference. After the settings are completed, the temperature field is automatically calculated to obtain the temperature distribution structure of the temperature field and the parameter values of the specific coordinates.
[0104] Optional, result viewing: Open the post-processing software ParaView to view the calculation results. The convection heat transfer coefficient (cage) is as follows: Figure 7 As shown, the temperature distribution results (bearing inner ring) are as follows Figure 8 As shown, the parameter values of specific coordinates can be viewed through the table.
[0105] As described above, the embodiment of the present application obtains a three-dimensional model of the reducer bearing and pre-processes the three-dimensional model; calculates the heat exchange intensity at various locations of the bearing through three-dimensional simulation software to obtain the convective heat transfer coefficient; based on the heat calculation model, the heat generation is calculated according to the parameters of the bearing parts; the three-dimensional model is imported into the thermal simulation software, and the parameters and heat generation of the bearing are imported to calculate the temperature field; the temperature field of the reducer bearing is evaluated, and the measurement efficiency is improved on the basis of ensuring accuracy, while the cost is low.
[0106] The above steps are not to be performed in a strict order as described in the numbers, but should be understood as an overall solution.
[0107] Based on the above embodiments, Fig. 9This is a schematic diagram of the structure of a three-dimensional thermal performance simulation calculation device for a reducer bearing provided in an embodiment of the present application. Fig. 9 The three-dimensional thermal performance simulation calculation device for the reducer bearing provided in this embodiment specifically includes: a model processing module 901, a coefficient calculation module 902, a heat calculation module 903 and a result acquisition module 904.
[0108] Among them, the model processing module 901 is used to obtain the three-dimensional model of the reducer bearing and pre-process the three-dimensional model; the coefficient calculation module 902 is used to calculate the heat exchange intensity of various parts of the bearing through the three-dimensional simulation software to obtain the convective heat transfer coefficient; the heat calculation module 903 is used to calculate the heat value according to the parameters of the bearing parts based on the heat calculation model; the result acquisition module 904 is used to import the three-dimensional model into the thermal simulation software, and import the parameters and heat value of the bearing to calculate the temperature field.
[0109] As described above, the embodiment of the present application obtains a three-dimensional model of the reducer bearing and pre-processes the three-dimensional model; calculates the heat exchange intensity at various locations of the bearing through three-dimensional simulation software to obtain the convective heat transfer coefficient; based on the heat calculation model, the heat generation is calculated according to the parameters of the bearing parts; the three-dimensional model is imported into the thermal simulation software, and the parameters and heat generation of the bearing are imported to calculate the temperature field; the temperature field of the reducer bearing is evaluated, and the measurement efficiency is improved on the basis of ensuring accuracy, while the cost is low.
[0110] In a third aspect, based on the above-mentioned embodiments, the embodiments of the present application further provide an electronic device, which can integrate the three-dimensional thermal performance simulation and calculation device of the reducer bearing provided in the embodiments of the present application. Fig.10 Schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Fig.10 The electronic device includes: an input device 73, an output device 74, a memory 72 and one or more processors 71; the memory 72 is used to store one or more programs; when the one or more programs are executed by the one or more processors 71, the one or more processors 71 implement the three-dimensional thermal performance simulation calculation method of the reducer bearing provided in the above embodiment. The input device 73, the output device 74, the memory 72 and the processor 71 can be connected by a bus or other means. Fig.10 The example of connecting through bus is taken in the following.
[0111] The processor 71 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 72, that is, realizes the above-mentioned three-dimensional thermal performance simulation calculation method of the reducer bearing.
[0112] The electronic device provided above can be used to execute the three-dimensional thermal performance simulation calculation method of the reducer bearing provided in the above embodiment, and has corresponding functions and beneficial effects.
[0113] In the fourth aspect, based on the above-mentioned embodiments, the embodiments of the present application also provide a computer-readable storage medium, the computer-readable storage medium includes a stored computer program; wherein, when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the three-dimensional thermal performance simulation calculation method of the reducer bearing as described above, and can achieve the same beneficial effects.
[0114] Of course, the storage medium containing computer executable instructions provided in an embodiment of the present application is not limited to the three-dimensional thermal performance simulation calculation method for the reducer bearing as described above, but can also execute related operations in the three-dimensional thermal performance simulation calculation method for the reducer bearing provided in any embodiment of the present application.
[0115] In a fifth aspect, based on the above embodiments, the embodiments of the present application also provide a computer program product, and the methods described in the various embodiments of the present application can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed on a computer, the processes or functions described in the various embodiments of the present application are executed in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user device, a core network device, an OAM (Open Application Model) or other programmable device.
[0116] The computer program or instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; it may also be an optical medium, such as a digital video disk; it may also be a semiconductor medium, such as a solid-state drive. The computer-readable storage medium may be a volatile or non-volatile storage medium, or may include both volatile and non-volatile types of storage media.
[0117] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.
[0118] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
[0119] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0120] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.
[0121] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
[0122] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
Claims
1. A three-dimensional thermal performance simulation calculation method for a reducer bearing, characterized in that: The method comprises: Obtaining a three-dimensional model of a reducer bearing and performing pre-processing on the three-dimensional model; The heat transfer intensity at each location of the bearing is calculated using 3D simulation software to obtain the convective heat transfer coefficient; Based on the heat calculation model, the heat generation is calculated according to the parameters of the bearing parts; Import the 3D model into the thermal simulation software, and import the bearing parameters and heat generation to calculate the temperature field.
2. The three-dimensional thermal performance simulation calculation method of the reducer bearing according to claim 1 is characterized in that: The step of obtaining a three-dimensional model of the reducer bearing and pre-processing the three-dimensional model includes: Obtain the 3D model of the reducer bearing and import it into the 3D simulation software to ensure that the 3D model is complete; Simplify the three-dimensional model; Group the parts of the 3D model and export them.
3. The three-dimensional thermal performance simulation calculation method of the reducer bearing according to claim 1 is characterized in that: The heat transfer intensity of each part of the bearing is calculated by three-dimensional simulation software to obtain the convection heat transfer coefficient, including: Import the pre-processed 3D model into the meshing software for simulation setting operations; Input mesh parameters, draw meshes for parts of the 3D model, and divide and group the drawn mesh parts; Export the meshed parts to the 3D simulation software, set the simulation solution parameters, and calculate the convective heat transfer coefficient.
4. The three-dimensional thermal performance simulation calculation method of the reducer bearing according to claim 3 is characterized in that: The setting of the simulation solution parameters and the calculation of the convection heat transfer coefficient include: Set the nozzle at the corresponding position according to the working condition to be simulated, and set the nozzle flow and oil parameters; Set the parts that need to rotate and set the rotation parameters; Perform heat transfer settings on the parts that need to calculate the heat transfer coefficient and set boundaries; Setting basic simulation parameters, wherein the basic simulation parameters include part particle size, gravity size, gravity direction and calculation boundary; Calculate the heat transfer intensity of each part of the bearing and obtain the convection heat transfer coefficient; Load the results and export the 3D simulation files of each part.
5. The three-dimensional thermal performance simulation calculation method of the reducer bearing according to claim 1 is characterized in that: The method of calculating the heat value based on the heat calculation model and the parameters of the bearing parts includes: Through one-dimensional simulation software, based on the shaft tooth loss calculation model, the loss value caused by oil stirring and friction extrusion of the bearing is calculated according to the physical parameters and working conditions of the bearing parts; wherein, the bearing parts include input axial, radial, circumferential loads and bearings.
6. The three-dimensional thermal performance simulation calculation method of the reducer bearing according to claim 3 is characterized in that: The three-dimensional model is imported into the thermal simulation software, and the parameters and heat generation of the bearing are imported to calculate the temperature field, including: Import the bearing components exported after drawing the mesh into the thermal simulation software; Set material properties; Input the calculated heat into the rollers, cages and raceways; Set the contact thermal resistance; Input the convection heat transfer coefficient, calculate the temperature field, and obtain the temperature distribution structure of the temperature field and the parameter values of the specific coordinates.
7. A three-dimensional thermal performance simulation calculation device for a reducer bearing, characterized in that: include: A model processing module is used to obtain a three-dimensional model of the reducer bearing and perform pre-processing on the three-dimensional model; The coefficient calculation module is used to calculate the heat transfer intensity at various locations of the bearing through three-dimensional simulation software to obtain the convection heat transfer coefficient; A heat calculation module is used to calculate the heat value according to the parameters of the bearing parts based on the heat calculation model; The result acquisition module is used to import the three-dimensional model into the thermal simulation software, and import the parameters and heat generation of the bearing to calculate the temperature field.
8. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the processor is connected to the memory via the bus, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, they are used to implement the three-dimensional thermal performance simulation calculation method for the reducer bearing according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a server, implements the three-dimensional thermal performance simulation calculation method for a reducer bearing as described in any one of claims 1-6.
10. A computer program product, characterized in that The computer program product comprises instructions which, when executed by a computer, cause the computer to implement the method according to any one of claims 1-6.