An oil damping parameter identification method, system, device and readable storage medium

Abstract

The application discloses an oil liquid damping parameter identification method, system, device and readable storage medium, first, overall dynamics model simulation is carried out in a motion particle simulation software, basic simulation parameters are adjusted, simulation can be converged, and the basic simulation parameters that make the simulation converge are obtained; then, an oil liquid damping experiment platform is designed and built. In the simulation, the physical simulation parameters are adjusted, the physical simulation parameters that make the experimental results and the simulation results equal under a certain precision are obtained; then, the obtained basic simulation parameters and the physical simulation parameters are imported into the overall dynamics model, the oil liquid resistance change and the main motion parameters of the measured component are obtained; finally, the obtained oil liquid resistance change and the main motion parameters are fitted, the law that the oil liquid resistance of the measured component changes with the motion is obtained, and the oil liquid damping coefficient is obtained. The application solves the problems that the smoothed particle hydro-solid coupling method needs to adjust the simulation parameters for multiple times, is difficult to converge and has poor simulation precision.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of mechanical dynamics and fluid mechanics, and relates to an oil liquid damping parameter identification method, system, device and readable storage medium. BACKGROUND

[0002] With the rapid development of virtual prototype simulation technology, the structural design and development method integrating design-simulation-analysis gradually replaces the traditional method of serial design scheme, which not only greatly shortens the product development cycle and reduces the product development cost, but also improves the product quality. For complex structural equipment such as on-load tap changer, the real working condition is in the oil chamber environment, and in the process of design and simulation analysis, a high-precision and high-fidelity dynamic model is often established in the dynamic simulation software for analysis, thereby providing guidance for the design and optimization of the equipment and assisting the design.

[0003] For complex equipment working in the oil environment, the oil liquid damping effect on the main measured components needs to be considered in the accurate dynamic simulation model. The oil liquid effect in dynamics is often analyzed by fluid-structure coupling simulation software, and the commonly used fluid-structure coupling simulation models include grid method and particle method. However, the related software has the problem that the key parameters in the model do not conform to the actual situation, and further research on key parameter identification is needed to construct a high-precision dynamic model consistent with the actual working condition. SUMMARY

[0004] The application aims to solve the problem that the key parameters in the model of the existing software do not conform to the actual situation, and provides an oil liquid damping parameter identification method, system, device and readable storage medium. The application determines the oil liquid damping parameters by analyzing the fluid-structure coupling software, taking advantage of the joint research of RecurDyn and Particleworks, and combining with the oil liquid damping test experiment, so as to construct a high-precision dynamic model of complex equipment considering the oil liquid damping effect, and more accurately analyze the complex equipment, thereby solving the problem that the damping parameters such as oil liquid damping coefficient cannot be obtained by simulation for complex structures to obtain accurate dynamic rules in oil liquid, and realizing accurate acquisition of oil liquid damping parameters of complex structures.

[0005] To achieve the above-mentioned purpose, the application adopts the following technical solutions:

[0006] In a first aspect, the application provides an oil liquid damping parameter identification method, which includes the following steps:

[0007] A dynamic model of the equipment without oil liquid resistance is established, and the dynamic model is simulated until convergence is completed, thereby obtaining basic simulation parameters;

[0008] Collecting oil liquid resistance or oil liquid resistance moment of the measured component in the oil liquid to obtain the test result of the change rule of the oil liquid resistance or oil liquid moment of the measured component with time;

[0009] An oil liquid damping experiment model is established, and fluid-solid coupling simulation is carried out by using basic simulation parameters to obtain the simulation result of the change rule of the oil liquid resistance or oil liquid moment of the measured component with time;

[0010] The virtual sound velocity and slip condition are adjusted to make the deviation between the simulation result and the test result meet the accuracy requirement, and the physical simulation parameter is obtained;

[0011] Fluid-solid coupling simulation analysis is carried out on the basic simulation parameter and the physical simulation parameter to obtain the motion parameter, and the oil liquid damping parameter is obtained by fitting the motion parameter.

[0012] The above method is further improved in that:

[0013] The dynamic model equipped with no oil liquid resistance comprises:

[0014] A dynamic model equipped with no oil liquid resistance is established in the dynamic simulation software RecurDyn, and the dynamic model is connected to the Particleworks software through the connection channel between RecurDyn and Particleworks.

[0015] The simulation of the dynamic model is carried out until convergence is completed, comprising:

[0016] The whole dynamic model simulation is carried out in the motion particle simulation software Particleworks, and the initial calculation time step Δt init , particle diameter l0 and particle maximum motion velocity threshold v lim are calculated and adjusted;

[0017] The initial calculation time step Δt init is adjusted according to formulas (1) and (2):

[0018]

[0019] u max =min(v max ,v lim ) (2)

[0020] Wherein, is the Courant condition, is the surface tension stability condition, is the viscosity condition, α is a safety factor, ρ is the mass density, σ is the surface tension coefficient, d i is the diffusion number, and u maxis the maximum velocity of the particle, v max is the maximum viscosity of the particle;

[0021] by adjusting the initial calculation time step Δt init , the particle diameter l0and the particle maximum motion velocity threshold value v lim , the Particleworks simulation converges.

[0022] The adjustment virtual sound speed c s and the slip condition, including:

[0023] The pressure explicit calculation theory model is:

[0024]

[0025] Wherein, P i is the pressure, c s is the virtual sound speed, ρ0is the mass density under standard pressure, n is the current number density, n 0 is the initial state number density; the slip condition is 0, indicating free slip, and the slip condition is 1, indicating no slip.

[0026] The deviation between the simulation results and the test results, including:

[0027] The deviation ε between the oil liquid resistance of the measured component and the time variation law is as follows: F1

[0028] ε F1 =∑|F 仿真 -F 实验 |Δt (4)

[0029] Wherein, F 仿真 is the simulation result of the time variation law of the oil liquid resistance of the measured component, F 实验 is the test result of the time variation law of the oil liquid resistance of the measured component, and Δt is the step time.

[0030] The deviation ε of the time variation law of the oil liquid resistance moment of the measured component is as follows: F2

[0031] ε F2 =∑|T 仿真 -T 实验 |Δt (5)

[0032] Wherein, T 仿真 is the simulation result of the time variation law of the oil liquid moment of the measured component, and T 实验 is the test result of the time variation law of the oil liquid moment of the measured component.

[0033] ​​The fitting of the motion parameter comprises:

[0034] The damping parameter fitting curve of the oil liquid resistance of the measured component is:

[0035] F = δv a +b (6)

[0036] Wherein, F is the oil liquid resistance of the measured component, δ is the damping coefficient, v is the moving speed of the measured component, and a and b are constants;

[0037] The damping parameter fitting curve of the oil liquid resistance moment of the measured component is:

[0038] T = δw a +b (7)

[0039] Wherein, T is the oil liquid resistance moment of the measured component, and w is the rotating angular velocity of the measured component.

[0040] In the second aspect, the oil liquid damping parameter identification system comprises:

[0041] The model simulation module is used for establishing a dynamic model of the equipment without oil liquid resistance, simulating the dynamic model until convergence is completed, and obtaining basic simulation parameters;

[0042] The test result acquisition module is used for acquiring the oil liquid resistance or the oil liquid resistance moment of the measured component in the oil liquid, and obtaining the test result of the change rule of the oil liquid resistance or the oil liquid moment of the measured component with time;

[0043] The simulation result calculation module is used for establishing an oil liquid damping experiment model, and performing fluid-structure coupling simulation by using the basic simulation parameters, and obtaining the simulation result of the change rule of the oil liquid resistance or the oil liquid moment of the measured component with time;

[0044] The parameter adjustment module is used for adjusting the virtual sound speed and the slip condition, so that the deviation between the simulation result and the test result meets the accuracy requirement, and obtaining physical simulation parameters;

[0045] The parameter fitting module is used for performing fluid-structure coupling simulation analysis on the basic simulation parameters and the physical simulation parameters, obtaining motion parameters, fitting the motion parameters, and obtaining the oil liquid damping parameters.

[0046] The above system is further improved in that:

[0047] The parameter adjustment module comprises a virtual sound speed and slip condition adjustment unit, which is used for making the deviation between the simulation result and the test result meet the accuracy requirement; the deviation between the simulation result and the test result comprises:

[0048] The deviation ε between the variation of the oil resistance of the measured component with time F1 As follows:

[0049] ε F1 =∑|F 仿真 -F 实验 |Δt

[0050] Wherein, F 仿真 is the simulation result of the variation of the oil resistance of the measured component with time, F 实验 is the test result of the variation of the oil resistance of the measured component with time, and Δt is the step time.

[0051] The deviation ε of the variation of the oil resistance moment of the measured component with time F2 As follows:

[0052] ε F2 =∑|T 仿真 -T 实验 |Δt

[0053] Wherein, T 仿真 is the simulation result of the variation of the oil moment of the measured component with time, and T 实验 is the test result of the variation of the oil moment of the measured component with time.

[0054] In a third aspect, the present application provides an oil damping parameter identification device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.

[0055] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the above method when executed by a processor.

[0056] Compared with the prior art, the present application has the following beneficial effects:

[0057] The present application solves the problem that the traditional fluid-solid coupling result is quite different from the actual value by obtaining the accurate physical parameters of the smoothed particle method simulation for the fluid-solid coupling analysis of complex structures based on the experiment-based Particleworks physical simulation parameter identification. In the smoothed particle fluid-solid coupling simulation, the complex equipment has complex structure and many narrow space structures, and the simulation may fail due to the excessive particle motion speed. The traditional method of directly performing the smoothed particle fluid-solid coupling analysis often adjusts the basic simulation parameters and the physical simulation parameters at the same time, and a large amount of simulation tests are needed, so it is difficult to make the simulation converge in a short time. The present application first calculates the basic simulation parameters that can make the fluid-solid coupling simulation of the research structure converge, and then fits the physical simulation parameters through experiments, thereby solving the problem that the smoothed particle fluid-solid coupling method needs to adjust the simulation parameters many times and is difficult to converge. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0059] Figure 1 The flowchart of the oil liquid damping parameter identification method of the present application.

[0060] Figure 2 The logic block diagram of the oil liquid damping parameter identification system of the present application.

[0061] Figure 3 The overall analysis flowchart of the present application. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0063] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0064] It should be noted that like reference numerals and letters refer to like items in the several views, and that no further definitions and explanations of the like items are needed in the subsequent drawings once the like items are defined in one drawing.

[0065] In the description of the embodiments of the present application, it should be noted that the orientation or position relationship indicated by the terms "upper", "lower", "horizontal", "inner" and the like is based on the orientation or position relationship shown in the drawings or the orientation or position relationship in which the product of the present application is usually placed, and is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second" and the like are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0066] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly inclined. For example, "horizontal" only means that its direction is relatively more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly inclined.

[0067] In the description of the embodiments of the present application, it should be noted that unless otherwise explicitly specified and limited, if the terms "arrangement", "installation", "connection", "connection" appear, they should be understood in a broad sense, for example, they can be fixedly connected, or can be detachably connected, or integrally connected; can be mechanically connected, or can be electrically connected; can be directly connected, or can be indirectly connected through an intermediate medium; can be the communication between the two elements inside. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0068] The present application will be described in further detail below in conjunction with the accompanying drawings:

[0069] Referring to Figure 1 The embodiment of the present application discloses an oil damping parameter identification method, comprising the following steps:

[0070] S1, a dynamic model equipped with no oil damping resistance is established, and the dynamic model is simulated until convergence is completed to obtain basic simulation parameters;

[0071] A dynamic model equipped with no oil damping resistance is established, including:

[0072] A dynamic model equipped with no oil damping resistance is established in the dynamic simulation software RecurDyn, and the dynamic model is connected to the Particleworks software through the connection channel between RecurDyn and Particleworks.

[0073] The dynamic model is simulated until convergence is achieved, including:

[0074] The overall dynamic model is simulated in the motion particle simulation software Particleworks, and the initial calculation time step Δt init , particle diameter l0 and particle maximum movement speed threshold v lim are calculated and adjusted;

[0075] The initial calculation time step Δt init is adjusted according to formulas (1) and (2):

[0076]

[0077] u max =min(v max ,v lim ) (2)

[0078] Wherein, is the Courant condition, is the surface tension stability condition, is the viscosity condition, α is the safety factor, ρ is the mass density, σ is the surface tension coefficient, d i is the diffusion number, u max is the particle maximum movement speed, v max is the particle maximum viscosity;

[0079] The Particleworks simulation is converged by adjusting the initial calculation time step Δt init , particle diameter l0 and particle maximum movement speed threshold v lim .

[0080] S2 collects the oil liquid resistance or oil liquid resistance moment received by the measured component in the oil liquid, and obtains the test result of the change rule of the oil liquid resistance or oil liquid moment received by the measured component with time;

[0081] S3 establishes an oil liquid damping experiment model, and performs fluid-structure coupling simulation by using basic simulation parameters, to obtain the simulation result of the change rule of the oil liquid resistance or oil liquid moment received by the measured component with time;

[0082] S4 adjusts the virtual sound speed and slip condition so that the deviation between the simulation result and the test result meets the accuracy requirement, to obtain the physical simulation parameter;

[0083] The virtual sound speed c s and the slip condition are adjusted, including:

[0084] The pressure explicit calculation theoretical model is:

[0085]

[0086] Among them, P i For pressure, c s Let ρ0 be the virtual speed of sound, ρ0 be the mass density under standard pressure, and n be the current number density. 0 The initial number density; a slip condition of 0 indicates free slip, and a slip condition of 1 indicates no slip.

[0087] The discrepancies between simulation results and test results include:

[0088] The deviation ε between the oil resistance of the tested component and the time variation F1 as follows:

[0089] ε F1 =∑|F 仿真 -F 实验 |Δt (4)

[0090] Among them, F 仿真 The simulation results show the variation of the oil resistance experienced by the tested component over time. 实验 The test results show the variation of the oil resistance experienced by the tested component over time.

[0091] The deviation ε of the oil resistance torque on the tested component as a function of time F2 as follows:

[0092] ε F2 =∑|T 仿真 -T 实验 |Δt (5)

[0093] Among them, T 仿真 The simulation results show the variation of the hydraulic torque on the tested component over time. 实验 The test results show the variation of the hydraulic torque on the tested component over time.

[0094] S5 performs fluid-structure interaction simulation analysis on the basic simulation parameters and physical simulation parameters to obtain motion parameters, and then fits the motion parameters to obtain the oil damping parameters.

[0095] Fitting motion parameters includes:

[0096] The fitting curve for the damping parameter of the tested component subjected to oil resistance is as follows:

[0097] F = δv a +b (6)

[0098] Where F is the oil resistance experienced by the tested component, δ is the damping coefficient, v is the moving speed of the tested component, and a and b are constants.

[0099] The damping parameter fitting curve of the oil liquid resistance torque borne by the measured component is as follows:

[0100] T = δw a + b (7)

[0101] Wherein, T is the oil liquid resistance torque borne by the measured component, and w is the rotation angular velocity of the measured component.

[0102] As Figure 2 shown in the figure, the oil liquid damping parameter identification system disclosed by the embodiment of the application comprises:

[0103] A model simulation module is configured to establish a dynamic model of the equipment without oil liquid resistance, and to simulate the dynamic model until convergence is completed to obtain basic simulation parameters.

[0104] A test result acquisition module is configured to acquire the oil liquid resistance or oil liquid torque borne by the measured component in the oil liquid to obtain test results of the change rule of the oil liquid resistance or oil liquid torque borne by the measured component over time.

[0105] A simulation result calculation module is configured to establish an oil liquid damping experiment model, and to perform fluid-structure coupling simulation by using the basic simulation parameters to obtain simulation results of the change rule of the oil liquid resistance or oil liquid torque borne by the measured component over time.

[0106] A parameter adjustment module is configured to adjust the virtual sound speed and the slip condition to make the deviation between the simulation results and the test results meet the accuracy requirement, and to obtain physical simulation parameters. The parameter adjustment module comprises a virtual sound speed and slip condition adjustment unit configured to make the deviation between the simulation results and the test results meet the accuracy requirement. The deviation between the simulation results and the test results comprises:

[0107] The deviation ε between the change rule of the oil liquid resistance borne by the measured component over time F1 is as follows:

[0108] ε F1 =∑|F 仿真 -F 实验 |Δt

[0109] Wherein, F 仿真 is the simulation result of the change rule of the oil liquid resistance borne by the measured component over time, F 实验 is the test result of the change rule of the oil liquid resistance borne by the measured component over time, and Δt is the step time.

[0110] The deviation ε between the change rule of the oil liquid torque borne by the measured component over time F2 is as follows:

[0111] ε F2 =∑|T 仿真 -T 实验|Δt

[0112] wherein T 仿真 is the simulation result of the oil liquid torque suffered by the measured component varying with time, T 实验 is the test result of the oil liquid torque suffered by the measured component varying with time.

[0113] The parameter fitting module is used for fluid-structure coupling simulation analysis on the basic simulation parameters and the physical simulation parameters, obtaining the motion parameters, and fitting the motion parameters to obtain the oil liquid damping parameters.

[0114] Referring to Figure 3 , the embodiment of the present application provides an oil liquid damping parameter identification method for complex equipment, comprising the following steps:

[0115] Step 1: a dynamic model without oil liquid damping of complex equipment is established in the dynamic simulation software RecurDyn, and the dynamic model is connected to the Particleworks software through the seamless connection channel between RecurDyn and Particleworks. The overall dynamic model simulation is performed in the motion particle simulation software Particleworks, the physical parameters are taken as default values, and the basic simulation parameters such as initial calculation time step Δt init , particle diameter l0, and particle maximum motion speed threshold v lim are adjusted to make the simulation converge. The basic simulation parameters making the simulation converge are obtained in this step.

[0116] The initial calculation time step Δt init , particle diameter l0, and particle maximum motion speed threshold v lim are calculated and adjusted in the Particleworks software. The step adjustment principle is as follows formula:

[0117]

[0118] u max =min(v max ,v lim ) (2)

[0119] wherein Δt init is the initial calculation time step, is the Courant condition, which varies with the particle maximum motion speed, is the surface tension stability condition, is the viscosity condition, which is considered when the parameter is set explicitly, α is a safety factor, usually 0.2, ρ is the mass density, σ is the surface tension coefficient, C max is the Courant number, usually 0.2, d i- Diffusion number, usually taken as 0.2, l0-particle diameter, u max - Particle maximum velocity, v max - Particle maximum viscosity, v lim - Particle maximum velocity threshold.

[0120] When there are particles with very high velocity in the simulation, the t derived from the Courant condition will be very small, resulting in a very small Δt. If Δt is very different from Δt init , it will cause Particleworks simulation error. By adjusting the initial calculation time step Δt init , particle diameter l0, particle maximum velocity threshold v lim , and other parameters, the Particleworks simulation can be converged.

[0121] Step 2, design and build an oil damping test bench. The shape and movement of the main measured components are retained in the oil damping test bench, and the change rule of the oil resistance or oil resistance torque of the main measured components with time can be measured. Based on the oil damping test bench, the oil damping experiment is carried out, the measured components move in the oil according to the set action, and the oil resistance or oil resistance torque of the measured components in the oil is collected.

[0122] Particleworks adjusts the physical simulation parameters such as virtual sound speed c s and slip condition. Among them, the pressure explicit calculation theoretical model is:

[0123]

[0124] Among them, P i is the pressure, ρ0 is the mass density under standard pressure, n 0 is the number density under initial state, n is the current number density, n 0 is the number density under initial state, c s is the virtual sound speed.

[0125] The slip condition is a parameter for adjusting the viscosity between the fluid particles and the wall surface, which compensates for the deviation caused by improper modeling of the wall surface roughness. When the slip condition is 0, it means free slip, and when the slip condition is 1, it means no slip.

[0126] Step 3, simulation oil damping parameter identification based on experimental results: an oil damping experiment model is established in the Particleworks software, the basic simulation parameters obtained in step 1 are substituted to carry out fluid-structure coupling simulation, and the variation law of the oil resistance or oil resistance moment of the main measured component with time is obtained. By continuously adjusting the virtual sound speed, slip condition and other physical simulation parameters, the deviation between the simulation results and the resistance or resistance moment variation law measured in step 2 is made to meet the accuracy requirement. Finally, the physical simulation parameter setting that makes the simulation results and experimental results equal within a certain accuracy is obtained.

[0127] The deviation calculation formula of the variation law of the oil resistance of the measured component with time is:

[0128] ε F1 =∑|F 仿真 -F 实验 |Δt (4)

[0129] Wherein, F 仿真 is the variation law of the oil resistance of the measured component with time read in the simulation, and F 实验 is the variation law of the oil resistance of the measured component with time measured in the experiment.

[0130] The deviation calculation formula of the variation law of the oil resistance moment of the measured component with time is:

[0131] ε F2 =∑|T 仿真 -T 实验 |Δt (5)

[0132] Wherein, T 仿真 is the variation law of the oil resistance moment of the measured component with time read in the simulation, and T 实验 is the variation law of the oil resistance moment of the measured component with time measured in the experiment.

[0133] Step 4, by setting the basic simulation parameters obtained in step 1 which can make the fluid-structure coupling simulation of the overall structure converge and the physical simulation parameters obtained in step 3 which make the simulation results and experimental results equal within a certain accuracy, fluid-structure coupling simulation analysis of complex equipment is carried out in the Particleworks software, and the motion parameters of the main measured component are obtained, such as motion speed v, motion angular velocity ω, oil resistance F and oil resistance moment T.

[0134] Step 5, fitting the main motion parameters of the main measured components obtained by the fluid-structure coupling simulation of the complex equipment overall structure in step 4, finally obtaining the relationship between the oil liquid resistance F of the main components in the oil liquid environment and the different speeds v, or the oil liquid resistance moment T of the main components in the oil liquid environment and the different angular velocities ω, and finally obtaining the oil liquid damping parameters in the relationship.

[0135] The damping parameter fitting curve formula of the resistance of the moving component is:

[0136] F = δv a +b (6)

[0137] Wherein, F is the oil liquid resistance of the measured component, and v is the moving speed of the measured component.

[0138] The damping parameter fitting curve formula of the resistance of the rotating component is:

[0139] T = δw a +b (7)

[0140] Wherein, T is the oil liquid resistance moment of the measured component, δ is the damping coefficient, w is the rotating angular velocity of the measured component, a is a constant, and b is a constant.

[0141] An embodiment of the oil liquid damping parameter identification device provided by the present application. The oil liquid damping parameter identification device of the embodiment comprises: a processor, a memory and a computer program stored in the memory and executable on the processor. The processor executes the computer program to realize the steps in each method embodiment described above, for example Figure 1 The steps S1-S5 shown. Alternatively, the processor executes the computer program to realize the functions of each module / unit in each device embodiment described above, for example, the parameter fitting module.

[0142] The computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present application.

[0143] The oil liquid damping parameter identification device can be a desktop computer, a notebook computer, a palm computer and a cloud server, etc. The oil liquid damping parameter identification device can include, but is not limited to, a processor and a memory.

[0144] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic, discrete hardware components, etc.

[0145] The memory can be used to store the computer programs and / or modules, and the processor realizes various functions of the oil damping parameter identification device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory.

[0146] The modules / units integrated in the oil damping parameter identification device, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. The computer program can realize the steps of the above-mentioned various method embodiments when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the contents included 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, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0147] The above only describes the preferred embodiments of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An oil-damping parameter identification method, characterized in that, Includes the following steps: Establish a dynamic model of the equipment without oil resistance, and simulate the dynamic model until convergence to obtain basic simulation parameters; the simulation of the dynamic model until convergence includes: The overall dynamic model simulation is performed in the motion particle simulation software Particleworks, and the initial calculation time step , particle diameter , and particle maximum motion velocity threshold are calculated and adjusted; Initial calculation time step Adjustments are made in accordance with equations (1) and (2): wherein, is the Courant condition, is the surface tension stability condition, is the viscosity condition, is the safety factor, is the mass density, is the surface tension coefficient, is the diffusion number, is the maximum particle velocity, is the maximum particle viscosity; By adjusting the initial calculation time step , particle diameter and particle maximum movement speed threshold to make the Particleworks simulation converge; The basic simulation parameters include initial calculation time step , particle diameter , particle maximum movement speed threshold ; The test results are obtained by collecting the oil resistance or oil resistance torque experienced by the tested component in the oil, and obtaining the variation law of the oil resistance or oil torque experienced by the tested component over time. An experimental model for oil damping was established, and fluid-structure interaction simulation was performed using basic simulation parameters to obtain simulation results showing the variation of oil resistance or oil torque on the tested component over time. Adjust the virtual sound velocity and slip conditions to ensure that the deviation between the simulation results and the test results meets the accuracy requirements, and obtain the physical simulation parameters; Fluid-structure interaction simulation analysis was performed on the basic simulation parameters and physical simulation parameters to obtain the motion parameters. The motion parameters were then fitted to obtain the oil damping parameters.

2. The oil-damping parameter identification method according to claim 1, characterized in that, The establishment of the dynamic model of the equipment without oil resistance includes: A dynamic model of the equipment without oil resistance was established in the dynamic simulation software RecurDyn. The dynamic model was then connected to the Particleworks software through the interface between RecurDyn and Particleworks.

3. The oil-damping parameter identification method of claim 1, wherein said adjusting the virtual sound velocity and slip conditions, including: The theoretical model for explicit pressure calculation is as follows: where, P is pressure, Cv is the virtual sound speed, P is the mass density at standard pressure, P is the current number density, P is the initial number density; free slip for 0 and no slip for 1.

4. The oil-damping parameter identification method of claim 1, wherein The deviations between the simulation results and the test results include: deviation between the regularity of the oil liquid resistance experienced by the component under test over time as follows: wherein, is the simulation result of the variation of the oil liquid resistance suffered by the measured component with time, is the test result of the variation of the oil liquid resistance suffered by the measured component with time, is the step time; deviation of the oil resistance moment of the measured component over time as follows: wherein, is the simulation result of the variation of the oil liquid torque on the measured component over time, is the test result of the variation of the oil liquid torque on the measured component over time.

5. The oil-damping parameter identification method of claim 1, wherein The fitting of motion parameters includes: The fitting curve for the damping parameter of the tested component subjected to oil resistance is as follows: wherein, is the oil resistance experienced by the measured component, is the damping coefficient, is the moving speed of the measured component, and are constants; The fitting curve of the damping parameter of the tested component subjected to the oil resistance torque is as follows: wherein, is the oil resistance torque received by the measured component, is the rotational angular velocity of the measured component.

6. An oil-damping parameter identification system for implementing the method of claim 1, characterized by include: The model simulation module is used to establish a dynamic model of the equipment without oil resistance, and to simulate the dynamic model until convergence is achieved, thereby obtaining the basic simulation parameters. The test result acquisition module is used to acquire the oil resistance or oil resistance torque experienced by the tested component in the oil, and obtain the test results showing the change law of the oil resistance or oil torque experienced by the tested component over time. The simulation result calculation module is used to establish an oil damping experimental model and perform fluid-structure interaction simulation using basic simulation parameters to obtain the simulation results of the change law of oil resistance or oil torque on the tested component over time. The parameter adjustment module is used to adjust the virtual sound velocity and slip conditions so that the deviation between the simulation results and the test results meets the accuracy requirements, thereby obtaining the physical simulation parameters; The parameter fitting module is used to perform fluid-structure interaction simulation analysis on the basic simulation parameters and physical simulation parameters to obtain motion parameters, and then fit the motion parameters to obtain the oil damping parameters.

7. The oil-damping parameter identification system of claim 6, wherein, The parameter adjustment module includes virtual sound velocity and slip condition adjustment units, used to ensure that the deviation between the simulation results and the test results meets accuracy requirements; the deviation between the simulation results and the test results includes: deviation between the change over time of the oil resistance experienced by the component under test as follows: wherein, is the simulation result of the variation of the oil liquid resistance suffered by the measured component with time, is the test result of the variation of the oil liquid resistance suffered by the measured component with time, is the step time; deviation of the oil resistance moment of the measured component over time as follows: wherein, is the simulation result of the variation of the oil torque acting on the measured component over time, is the test result of the variation of the oil torque acting on the measured component over time.

8. An oil-damping parameter identification device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-5.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-5.

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