Method and system for estimating bearing capacity of refrigerant foil dynamic pressure gas radial bearing

Abstract

The invention relates to the technical field of gas bearings, in particular to a refrigerant foil dynamic pressure gas radial bearing capacity estimation method and system.The method comprises the steps that the working temperature, the working pressure, the bearing diameter and the rotating speed when a bearing works are obtained, and a refrigerant medium is determined; obtaining the dynamic viscosity of the refrigerant according to the working temperature, the working pressure and the refrigerant medium; according to the bearing diameter, the rotating speed, the refrigerant dynamic viscosity and the main structure parameters of the bearing, a bearing capacity estimation formula of the bearing is constructed; performing iterative optimization on the main structure parameters of the bearing according to a bearing capacity estimation formula of the bearing to obtain optimal structure parameters; the main structure parameters of the bearing subjected to iterative optimization comprise the bearing length, the bearing nominal clearance and the eccentricity rate. According to the method, the bearing capacity of the bearing is estimated by selecting different bearing lengths, bearing nominal clearances and eccentricity ratio combinations, so that main structural parameters of the bearing are designed, the bearing capacity of the bearing meets the requirements, and the running eccentricity ratio is within a reasonable range.

Description

Technical Field

[0001] The present invention relates to the technical field of gas bearings, and in particular to a method and system for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing. Background Art

[0002] Foil dynamic pressure gas bearings offer advantages such as high speed, low frictional power consumption, strong stability, simple structure, no pollution, and no need for lubricant. In recent years, their application in centrifugal compressors has become a hot research topic. The load capacity of foil dynamic pressure gas journal bearings significantly impacts the operational stability of the bearing-rotor system in compressors, making accurate estimation of bearing load capacity crucial.

[0003] In the existing empirical formula for the load-bearing capacity of foil dynamic pressure gas radial bearings, the load-bearing capacity of foil dynamic pressure gas radial bearings is usually analyzed and obtained by multiplying the bearing load-bearing capacity coefficient, the product between the rotor diameter and the bearing length, and the product between the rotor diameter and the rotational speed; however, the load-bearing capacity calculated using the empirical formula often does not reach the expected value during the test. In addition, Chinese patent CN202110986312.4 obtains the maximum load-bearing capacity of the bearing by iteratively solving the Reynolds equation and the foil structure deformation equation; however, this method does not propose a clear formula for calculating the maximum load-bearing capacity of the bearing, which is not convenient when designing bearings in practical applications. Moreover, this method takes air foil dynamic pressure gas radial bearings as the research object and is not suitable for calculating the load-bearing capacity of refrigerant foil dynamic pressure gas radial bearings. Summary of the Invention

[0004] The present invention provides a method and system for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing, which are used to solve the existing problem of predicting the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A first aspect of the present invention is to provide a method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing, comprising: Obtain the operating temperature, operating pressure, bearing diameter, and speed of the bearing, and determine the refrigerant medium; The refrigerant dynamic viscosity is obtained based on the operating temperature, operating pressure, and refrigerant medium; the bearing load capacity estimation formula is constructed based on the bearing diameter, speed, refrigerant dynamic viscosity, and the main structural parameters of the bearing; The main structural parameters of the bearing are iteratively optimized according to the bearing load-bearing capacity estimation formula to obtain the optimal structural parameters; the main structural parameters of the bearing that are iteratively optimized include bearing length, bearing nominal clearance and eccentricity.

[0006] Furthermore, obtaining the operating temperature, operating pressure, bearing diameter, and rotational speed of the bearing during operation includes: The working temperature of the bearing during operation is obtained through a temperature sensor; the working pressure of the bearing during operation is obtained through a pressure sensor.

[0007] Furthermore, obtaining the refrigerant dynamic viscosity according to the working temperature, working pressure and refrigerant medium includes: The dynamic viscosity of the refrigerant is determined based on the operating temperature, operating pressure and refrigerant medium.

[0008] Furthermore, the bearing capacity estimation formula is constructed based on the bearing diameter, rotational speed, refrigerant dynamic viscosity and main bearing structural parameters, including:

[0009] Where, Indicates the estimated load capacity of the bearing, represents the eccentricity, Indicates the nominal bearing clearance, represents the bearing radius, Indicates the bearing length, Indicates the bearing diameter, Indicates the dynamic viscosity of the refrigerant, Indicates the rotation speed; Indicates the preset first coefficient, Indicates the preset second coefficient, Indicates the preset third coefficient, Indicates the preset fourth coefficient, Indicates the preset fifth coefficient.

[0010] Furthermore, in the bearing capacity estimation formula, the first coefficient is preset The value range is -0.023~-0.016, and the second coefficient is preset The value range is 0.798~0.815, and the third coefficient is preset The value range is 1.872~1.911, and the fourth coefficient is preset The value range is -1.804~-1.789, and the fifth coefficient is preset The value range is 1.798~1.812.

[0011] Furthermore, the iterative optimization of the main structural parameters of the bearing according to the bearing load capacity estimation formula to obtain the optimal structural parameters includes: Step 1: Determine the refrigerant dynamic viscosity based on known environmental parameters ; Input refrigerant dynamic viscosity , bearing diameter and speed; then jump to step 2; Step 2: Select a bearing length, calculate the bearing aspect ratio, and then jump to step 3; the bearing length is selected from small to large; Step 3: Select a bearing nominal clearance, calculate the relative clearance, and then jump to step 4; the bearing nominal clearance is selected from largest to smallest; Step 4: Select an eccentricity and then jump to step 5; the eccentricity is selected from small to large during the selection process; Step 5: Calculate the bearing capacity using the bearing capacity estimation formula based on all the data in steps 1 to 4; determine whether the bearing capacity meets the requirements. If not, jump to step 4 and select the eccentricity judgment in sequence; if there is an eccentricity that meets the requirements, stop the iteration, exit the loop, and output the eccentricity at the time of exiting the loop, as well as the bearing nominal clearance and bearing length corresponding to the eccentricity; if there is no eccentricity that meets the requirements, jump to step 3 and select the bearing nominal clearance in sequence. If there is a bearing nominal clearance and the corresponding eccentricity that meet the requirements, stop the iteration, exit the loop, and output the eccentricity and bearing nominal clearance at the time of exiting the loop, as well as the bearing length corresponding to the eccentricity and bearing nominal clearance; if there is no eccentricity and bearing nominal clearance that meet the requirements, jump to step 2 and select the bearing length in sequence. At this point, the eccentricity, bearing nominal clearance and bearing length that meet the requirements are selected.

[0012] Furthermore, the eccentricity ranges from 0.4 to 0.95.

[0013] A second aspect of the present invention is to provide a refrigerant foil dynamic pressure gas radial bearing bearing capacity estimation system, comprising: Data acquisition module: used to obtain the working temperature, working pressure, bearing diameter and speed of the bearing, and determine the refrigerant medium; Formula construction module: used to obtain the refrigerant dynamic viscosity based on the operating temperature, operating pressure and refrigerant medium; and to construct the bearing load capacity estimation formula based on the bearing diameter, speed, refrigerant dynamic viscosity and main bearing structural parameters; Iterative optimization module: used to iteratively optimize the main structural parameters of the bearing according to the bearing load-bearing capacity estimation formula to obtain the optimal structural parameters; the main structural parameters of the bearing to be iteratively optimized include bearing length, bearing nominal clearance and eccentricity.

[0014] The third aspect of the present invention is to provide a terminal device, including a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, the processor is used to execute the program instructions stored in the computer storage medium, and when the processor executes the program instructions stored in the computer storage medium, it implements the refrigerant foil dynamic pressure gas radial bearing load-bearing capacity estimation method.

[0015] A fourth aspect of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing is implemented.

[0016] Compared with the prior art, the present invention has the following beneficial effects: obtaining the refrigerant dynamic viscosity based on the operating temperature, operating pressure, and refrigerant medium; constructing a bearing load-bearing capacity estimation formula based on the bearing diameter, rotational speed, refrigerant dynamic viscosity, and the main structural parameters of the bearing; and reconstructing the bearing load-bearing capacity estimation formula so that the load-bearing capacity reaches the expected value during the test. Iteratively optimizing the main structural parameters of the bearing according to the bearing load-bearing capacity estimation formula to obtain the optimal structural parameters; the iteratively optimized main structural parameters of the bearing include bearing length, bearing nominal clearance, and eccentricity; estimating the bearing load-bearing capacity by selecting different bearing lengths, bearing nominal clearances, and eccentricity combinations, so as to design the main structural parameters of the bearing so that the bearing load-bearing capacity meets the requirements and the operating eccentricity is within a reasonable range. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 The present invention provides a schematic flow chart of the steps of a method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing; Figure 2 The present invention provides a module flow diagram of a refrigerant foil dynamic pressure gas radial bearing load-bearing capacity estimation system; Figure 3 Schematic diagram of the parameter selection process; Figure 4 This is a schematic diagram of the main structural parameters of the foil dynamic pressure gas radial bearing; R is the bearing radius, D is the bearing diameter, L is the bearing length, Cis the nominal bearing clearance; Figure 5 This is a schematic diagram of the center offset of the foil dynamic pressure gas radial bearing; R is the bearing radius, C is the nominal bearing clearance, B is the eccentricity of the bearing relative to its initial position when it reaches a stable position. is the eccentricity, is the center before offset, is the center after offset; Figure 6 A schematic diagram of a computer device; Figure 7 A block diagram of a chip. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] In response to the problems existing in the background technology, a method and system for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing was studied and designed, which has important practical significance.

[0022] like Figure 1 As shown, the first aspect of the present invention is to provide a method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing, comprising the following steps: Step S001: Collect relevant parameters of the bearing and various data during operation.

[0023] It should be noted that when estimating the bearing capacity of the refrigerant foil dynamic pressure gas radial bearing, in order to comprehensively analyze the physical properties of the gas, the gas film characteristics and the influence of the foil structure on the gas flow, so as to accurately evaluate the bearing capacity under actual working conditions, it is necessary to collect the relevant parameters of the bearing and various data during operation; in this way, the bearing capacity of the refrigerant foil dynamic pressure gas radial bearing can be estimated and analyzed through the relevant parameters of the bearing and various data during operation.

[0024] Specifically, various operating data such as the bearing operating temperature, operating pressure, and speed are collected; and the bearing radius, refrigerant medium, and foil structure parameters are determined.

[0025] The bearing operating temperature is collected by a temperature sensor, and the bearing operating pressure is collected by a pressure sensor.

[0026] At this point, the working temperature and working pressure are obtained.

[0027] Step S002: Construct a bearing capacity estimation formula.

[0028] Get bearing length , obtain the aspect ratio based on the bearing length and bearing diameter .

[0029] Get the nominal clearance and the relative clearance based on the nominal clearance and bearing radius .

[0030] Selected eccentricity ; Among them, eccentricity The value range of is between 0.4 and 0.95, including 0.4 and 0.95. The main structural parameters of the foil dynamic pressure gas radial bearing are shown in the figure below. Figure 4 As shown; the schematic diagram of the center offset of the foil dynamic pressure gas radial bearing is as follows Figure 5 As shown; Figure 4 and Figure 5 middle R is the bearing radius, D is the bearing diameter, L is the bearing length, C is the nominal bearing clearance, B is the eccentricity of the bearing relative to its initial position when it reaches a stable position. is the eccentricity, is the center before offset, is the offset center.

[0031] According to the speed , eccentricity , nominal bearing clearance , bearing radius , bearing length and refrigerant dynamic viscosity The six main influencing parameters of bearing load capacity are used to obtain the estimated bearing load capacity through the bearing load capacity estimation formula; the bearing load capacity estimation formula is specifically expressed as:

[0032] Where, Indicates the estimated load capacity of the bearing, represents the eccentricity, Indicates the nominal bearing clearance, represents the bearing radius, Indicates the bearing length, Indicates the bearing diameter, Indicates the dynamic viscosity of the refrigerant, Indicates the rotation speed; Indicates the preset first coefficient, Indicates the preset second coefficient, Indicates the preset third coefficient, Indicates the preset fourth coefficient, Indicates the preset fifth coefficient.

[0033] In this embodiment, the first coefficient is preset The value range is -0.023~-0.016, and the second coefficient is preset The value range is 0.798~0.815, and the third coefficient is preset The value range is 1.872~1.911, and the fourth coefficient is preset The value range is -1.804~-1.789, and the fifth coefficient is preset The value range is 1.798~1.812.

[0034] It should be noted that the dynamic viscosity of the refrigerant Different working pressures and working temperatures correspond to different values; that is, the dynamic viscosity of the refrigerant can be obtained by looking up the working pressure and working temperature. .

[0035] Step S003: According to the bearing capacity estimation formula, the optimal structural parameters are obtained by iteratively analyzing the bearing length, bearing nominal clearance and eccentricity.

[0036] It should be noted that in this embodiment, R134a (1,1,1,2-Tetrafluoroethane) foil dynamic pressure gas radial bearing is used; wherein R134a is a refrigerant. In this embodiment, the ambient temperature is , environmental pressure , bearing diameter , rated speed , the minimum speed under variable load operation is , required carrying capacity .

[0037] The ambient temperature is That is, the working temperature and ambient pressure of the bearing when it is working That is the working pressure of the bearing. Therefore, according to the known working temperature and work pressure Check the dynamic viscosity of R134a .in, It is microPa·second.

[0038] Now, based on the known environmental parameters, bearing diameter and speed, the design optimization of the main structural parameters of the bearing is carried out; the process of determining the main structural parameters of the bearing is as follows: Step 1: Determine the refrigerant dynamic viscosity based on known environmental parameters ; Input refrigerant dynamic viscosity , bearing diameter and speed; then jump to step 2; Step 2: Select a bearing length (i.e. the initial bearing length ), calculate the bearing aspect ratio, and then jump to step 3; where the bearing length is selected from small to large; Step 3: Select a bearing nominal clearance (i.e. the initial bearing nominal clearance ), calculate the relative clearance, and then jump to step 4; wherein, the bearing nominal clearance is selected from large to small; Step 4: Select an eccentricity (i.e., the initial eccentricity), and then jump to step 5; the eccentricity is selected from small to large during the selection process; Step 5: Calculate the bearing capacity using the bearing capacity estimation formula based on all the data in steps 1 to 4; determine whether the bearing capacity meets the requirements. If not, jump to step 4 and select the eccentricity judgment in sequence; if there is an eccentricity that meets the requirements, stop the iteration, exit the loop, and output the eccentricity at the time of exiting the loop, as well as the bearing nominal clearance and bearing length corresponding to the eccentricity; if there is no eccentricity that meets the requirements, jump to step 3 and select the bearing nominal clearance in sequence. If there is a bearing nominal clearance and the corresponding eccentricity that meet the requirements, stop the iteration, exit the loop, and output the eccentricity and bearing nominal clearance at the time of exiting the loop, as well as the bearing length corresponding to the eccentricity and bearing nominal clearance; if there is no eccentricity and bearing nominal clearance that meet the requirements, jump to step 2 and select the bearing length in sequence. At this point, the eccentricity, bearing nominal clearance and bearing length that meet the requirements are selected.

[0039] The parameter selection process diagram is as follows: Figure 3 shown.

[0040] Through the above iterative cycle process, all the optimal parameters corresponding to different speeds can be obtained; wherein, the specific simulation data process is as follows: Confirm that the refrigerant is R134a; determine the operating temperature and work pressure Corresponding R134a dynamic viscosity ; Then select the bearing length , bearing diameter , then the aspect ratio ; Select the nominal bearing clearance , then the relative gap ; Select eccentricity ; Calculated according to the bearing load capacity estimation formula Estimated load capacity at speed , the estimated bearing capacity does not meet the requirements, reselect the eccentricity , recalculate the estimated bearing capacity , the estimated bearing capacity meets the requirements; then calculate Estimated load capacity at speed , the estimated bearing capacity does not meet the requirements; Reselect Eccentricity at speed , recalculate the estimated bearing capacity , the estimated bearing capacity does not meet the requirements; Reselect the bearing nominal clearance , then the relative gap ; Select eccentricity , calculated according to the bearing load capacity estimation formula Estimated load capacity at speed , the estimated bearing capacity meets the requirements, calculation Estimated load capacity at speed , the estimated bearing capacity does not meet the requirements; Reselect Eccentricity at speed , recalculate the estimated bearing capacity , the estimated bearing capacity meets the requirements, the design is completed, and the design calculation results are shown in Table 1 below.

[0041]

[0042] like Figure 2 As shown, the second aspect of the present invention is to provide a refrigerant foil dynamic pressure gas radial bearing bearing capacity estimation system, including the following modules: Data acquisition module 101: used to obtain the working temperature, working pressure, bearing diameter and speed of the bearing during operation, and determine the refrigerant medium; Formula construction module 102: used to obtain the refrigerant dynamic viscosity based on the working temperature, working pressure and refrigerant medium; and to construct a bearing load capacity estimation formula based on the bearing diameter, rotational speed, refrigerant dynamic viscosity and main bearing structural parameters; Iterative optimization module 103: used to iteratively optimize the main structural parameters of the bearing according to the bearing load-bearing capacity estimation formula to obtain the optimal structural parameters; the main structural parameters of the bearing to be iteratively optimized include bearing length, bearing nominal clearance and eccentricity.

[0043] The third aspect of the present invention is to provide a terminal device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may also be other general-purpose processors, graphics processing units (GPUs), tensor processing units (TPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to implement corresponding method processes or corresponding functions; when the processor executes the program instructions stored in the computer storage medium, it implements a refrigerant foil dynamic pressure gas radial bearing load capacity estimation method.

[0044] Figure 6 A schematic diagram of a computer device provided in one embodiment of the present invention.

[0045] See also Figure 6When the terminal device is a computer device, the computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable by the processor 61. When executed by the processor 61, the computer program 63 implements the refrigerant foil dynamic pressure gas radial bearing capacity estimation method of the embodiment. To avoid repetition, the details are not described here. Alternatively, when executed by the processor 61, the computer program 63 implements the functions of each model / unit in the refrigerant foil dynamic pressure gas radial bearing capacity estimation system of the embodiment. To avoid repetition, the details are not described here.

[0046] The computer device 60 may be a desktop computer, a notebook computer, a PDA, a cloud server, or other computing devices. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. It will be understood by those skilled in the art that Figure 6 This is merely an example of the computer device 60 and does not constitute a limitation of the computer device 60 . The computer device 60 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0047] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, a graphics processing unit (GPU), a tensor processing unit (TPU), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0048] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 60.

[0049] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is about to be output.

[0050] Figure 7 The block diagram of a chip provided according to one embodiment of the present invention is shown.

[0051] See also Figure 7 When the terminal device is an electronic device 600, the electronic device 600 is presented as a general-purpose computing device. Components of the electronic device may include, but are not limited to, at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.

[0052] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention described in the above method section of this specification. For example, the processing unit 610 can perform the following steps: Figure 1 Follow the steps shown in .

[0053] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0054] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0055] Bus 630 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0056] The electronic device 600 may also communicate with one or more external devices 700 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and / or any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., a router, a modem). Such communication may occur via an input / output interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (e.g., a local area network, a wide area network, and / or a public network, such as the Internet) via a network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figures, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0057] The fourth aspect of the present invention is to provide a storage medium, specifically a computer-readable storage medium, which is a memory device in a terminal device. The computer-readable storage medium stores a computer program and data. When the computer program is executed by a processor, a method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing is implemented. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. It can be any tangible medium that contains or stores a program, which can be used by or in combination with an instruction execution system, device or component. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more computer programs (including program codes). It should be noted that more specific examples of computer-readable storage media herein include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0058] Computer-readable storage media also include data signals propagated in baseband or as part of a carrier wave, which carry readable program code. Such propagated data signals can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium can also be any readable medium other than a readable storage medium, which can send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the readable storage medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, radio frequency, etc., or any suitable combination of the above.

[0059] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, and the like, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network or a wide area network, or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0060] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of a method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing in the above-mentioned embodiment; one or more instructions in a computer-readable storage medium are loaded and executed by a processor to implement the corresponding steps of a method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing in the above-mentioned embodiment.

[0061] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0062] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0063] In summary, the present invention provides a method and system for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing. Please summarize and explain the effects of the present invention.

[0064] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0065] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0066] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0067] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical functional division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, and can be electrical, mechanical, or other forms.

[0068] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0069] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0070] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0071] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0072] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0074] The above content is only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing, characterized in that: include: Obtain the operating temperature, operating pressure, bearing diameter, and speed of the bearing, and determine the refrigerant medium; The refrigerant dynamic viscosity is obtained based on the operating temperature, operating pressure, and refrigerant medium; the bearing load capacity estimation formula is constructed based on the bearing diameter, speed, refrigerant dynamic viscosity, and the main structural parameters of the bearing; The main structural parameters of the bearing are iteratively optimized according to the bearing load-bearing capacity estimation formula to obtain the optimal structural parameters; the main structural parameters of the bearing that are iteratively optimized include bearing length, bearing nominal clearance and eccentricity.

2. A method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to claim 1, characterized in that: The obtaining of the operating temperature, operating pressure, bearing diameter and speed of the bearing during operation includes: The working temperature of the bearing during operation is obtained through a temperature sensor; the working pressure of the bearing during operation is obtained through a pressure sensor.

3. The method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to claim 1, characterized in that: Obtaining the refrigerant dynamic viscosity according to the operating temperature, the operating pressure, and the refrigerant medium includes: The dynamic viscosity of the refrigerant is determined based on the operating temperature, operating pressure and refrigerant medium.

4. A method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to claim 1, characterized in that: The bearing capacity estimation formula is constructed based on the bearing diameter, rotational speed, refrigerant dynamic viscosity and main bearing structural parameters, including: Where, Indicates the estimated load capacity of the bearing, represents the eccentricity, Indicates the nominal bearing clearance, represents the bearing radius, Indicates the bearing length, Indicates the bearing diameter, Indicates the dynamic viscosity of the refrigerant, Indicates the rotation speed; Indicates the preset first coefficient, Indicates the preset second coefficient, Indicates the preset third coefficient, Indicates the preset fourth coefficient, Indicates the preset fifth coefficient.

5. A method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to claim 4, characterized in that: In the bearing capacity estimation formula, the first coefficient is preset The value range is -0.023~-0.016, and the second coefficient is preset The value range is 0.798~0.815, and the third coefficient is preset The value range is 1.872~1.911, and the fourth coefficient is preset The value range is -1.804~-1.789, and the fifth coefficient is preset The value range is 1.798~1.

812.

6. A method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to claim 1, characterized in that: The iterative optimization of the main structural parameters of the bearing according to the bearing load capacity estimation formula to obtain the optimal structural parameters includes: Step 1: Determine the refrigerant dynamic viscosity based on known environmental parameters ; Input refrigerant dynamic viscosity , bearing diameter and speed; then jump to step 2; Step 2: Select a bearing length, calculate the bearing aspect ratio, and then jump to step 3; the bearing length is selected from small to large; Step 3: Select a bearing nominal clearance, calculate the relative clearance, and then jump to step 4; the bearing nominal clearance is selected from largest to smallest; Step 4: Select an eccentricity and then jump to step 5; the eccentricity is selected from small to large during the selection process; Step 5: Calculate the bearing capacity using the bearing capacity estimation formula based on all the data in steps 1 to 4; determine whether the bearing capacity meets the requirements. If not, jump to step 4 and select the eccentricity judgment in sequence; if there is an eccentricity that meets the requirements, stop the iteration, exit the loop, and output the eccentricity at the time of exiting the loop, as well as the bearing nominal clearance and bearing length corresponding to the eccentricity; if there is no eccentricity that meets the requirements, jump to step 3 and select the bearing nominal clearance in sequence. If there is a bearing nominal clearance and the corresponding eccentricity that meet the requirements, stop the iteration, exit the loop, and output the eccentricity and bearing nominal clearance at the time of exiting the loop, as well as the bearing length corresponding to the eccentricity and bearing nominal clearance; if there is no eccentricity and bearing nominal clearance that meet the requirements, jump to step 2 and select the bearing length in sequence. At this point, the eccentricity, bearing nominal clearance and bearing length that meet the requirements are selected.

7. A method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to claim 6, characterized in that: The eccentricity ranges from 0.4 to 0.

95.

8. A refrigerant foil dynamic pressure gas radial bearing load estimation system, characterized in that: include: Data acquisition module: used to obtain the working temperature, working pressure, bearing diameter and speed of the bearing, and determine the refrigerant medium; Formula construction module: used to obtain the refrigerant dynamic viscosity based on the operating temperature, operating pressure and refrigerant medium; and to construct the bearing load capacity estimation formula based on the bearing diameter, speed, refrigerant dynamic viscosity and main bearing structural parameters; Iterative optimization module: used to iteratively optimize the main structural parameters of the bearing according to the bearing load-bearing capacity estimation formula to obtain the optimal structural parameters; the main structural parameters of the bearing to be iteratively optimized include bearing length, bearing nominal clearance and eccentricity.

9. A terminal device, characterized in that: It includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, the processor is used to execute the program instructions stored in the computer storage medium, and when the processor executes the program instructions stored in the computer storage medium, it implements the refrigerant foil dynamic pressure gas radial bearing load-bearing capacity estimation method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for estimating the bearing capacity of a refrigerant foil dynamic pressure gas radial bearing according to any one of claims 1 to 7 is implemented.

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