A method, apparatus, device, and storage medium for verifying flow coefficients.

Abstract

This invention discloses a method, apparatus, device, and storage medium for verifying flow coefficients. The method includes: during the development phase, if the throttling valve has a throttling orifice with a specific structure, detecting the parameter values ​​of various operating parameters of the throttling orifice, wherein the throttling orifice is configured with an original flow coefficient and a development target; if the parameter values ​​of the operating parameters indicate that the throttling orifice is a thin-walled orifice, querying the correlation functions representing the correlation between various operating parameters and the flow coefficient under the given structure; substituting each parameter value into the correlation functions for calculation to obtain the influence factors of each operating parameter; adjusting the original flow coefficient based on all influence factors to obtain the target flow coefficient; and verifying whether the target flow coefficient meets the development target. This achieves adaptive calibration of the original flow coefficient, making the calibrated target flow coefficient adapt to the specific structure of the throttling orifice, improving the accuracy of the target flow coefficient, and thus improving the efficiency of the development work.

Description

Technical Field

[0001] This invention relates to the field of hydraulics, and more particularly to a method, apparatus, equipment, and storage medium for verifying flow coefficient. Background Technology

[0002] Throttling valves are widely used in hydraulic control circuits. They can change the flow area of ​​the throttling orifice to achieve flow control and are often used to regulate the speed of movement in hydraulic control circuits.

[0003] Through holes in valve components are mainly divided into thin-walled holes, short holes, and long and narrow holes. Because thin-walled holes have a short flow path and stable flow, the throttling orifice of a throttling valve is suitable for being made into a thin-walled hole.

[0004] Due to limitations in processing technology, it is difficult to machine standard thin-walled orifices. Therefore, manufacturers design through holes with specific structures based on their own technical characteristics and processing capabilities, which serve as the throttling orifices of throttling valves, thus reducing the processing difficulty while achieving the effect of thin-walled orifices.

[0005] When developing throttle valves, designers typically use standard estimation methods to predict the flow coefficient of the throttle orifice in order to analyze its flow and pressure characteristics. However, the throttle orifice has many structural styles that deviate from the standard estimation methods, resulting in lower accuracy of the calculated flow coefficient and reduced efficiency of the development work. Summary of the Invention

[0006] This invention provides a method, apparatus, device, and storage medium for verifying flow coefficients, in order to solve the problem of how to improve the accuracy of predicting flow coefficients at throttle openings and thus improve development efficiency.

[0007] According to one aspect of the present invention, a method for verifying flow coefficients is provided, comprising:

[0008] During the development phase, if the throttle valve has a throttle port with a specific structure, the parameter values ​​of various operating parameters of the throttle port are detected. The throttle port is configured with an original flow coefficient and a development target.

[0009] If the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, then query the correlation function that represents the correlation between each of the operating condition parameters and the flow coefficient under the structure.

[0010] Substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factors of each of the operating condition parameters;

[0011] The original flow coefficient is adjusted based on all the aforementioned influencing factors to obtain the target flow coefficient;

[0012] Verify whether the target flow coefficient meets the development objective.

[0013] According to another aspect of the present invention, a flow coefficient verification device is provided, comprising:

[0014] The operating condition parameter detection module is used during the development phase to detect the parameter values ​​of various operating condition parameters of the throttle orifice if the throttle valve has a throttle orifice with a specific structure. The throttle orifice is configured with an original flow coefficient and a development target.

[0015] The related function query module is used to query the related functions that characterize the correlation between each of the operating parameters and the flow coefficient under the given structure if the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice.

[0016] The influence factor calculation module is used to substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factor of each of the working condition parameters.

[0017] The flow coefficient adjustment module is used to adjust the original flow coefficient according to all the influencing factors to obtain the target flow coefficient;

[0018] A target verification module is developed to verify whether the target flow coefficient meets the development target.

[0019] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0020] At least one processor; and

[0021] A memory communicatively connected to the at least one processor; wherein,

[0022] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the flow coefficient verification method according to any embodiment of the present invention.

[0023] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program configured to cause a processor to execute and implement the flow coefficient verification method according to any embodiment of the present invention.

[0024] In this embodiment, during the development phase, if the throttle valve has a throttle orifice with a specific structure, the parameter values ​​of various operating conditions of the throttle orifice are detected. The throttle orifice is configured with an original flow coefficient and a development target. If the parameter values ​​of the operating conditions indicate that the throttle orifice is a thin-walled orifice, the correlation functions representing the correlation between various operating conditions and the flow coefficient under the given structure are queried. Each parameter value is substituted into the correlation function for calculation to obtain the influence factors of each operating condition parameter. The original flow coefficient is adjusted based on all influence factors to obtain the target flow coefficient. The target flow coefficient is then verified to ensure it meets the development target. For a throttle orifice with a specific structure, corresponding operating parameters can be set. The influence factors of these operating parameters on the original flow coefficient are used to adjust the original flow coefficient, achieving adaptive calibration of the original flow coefficient. This allows the calibrated target flow coefficient to adapt to the specific structure of the throttle orifice, improving the accuracy of the target flow coefficient and thus increasing the efficiency of the development work.

[0025] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a flowchart of a flow coefficient verification method provided according to Embodiment 1 of the present invention;

[0028] Figure 2 This is an exploded view of a throttling orifice provided according to Embodiment 1 of the present invention;

[0029] Figure 3 This is a cross-sectional view of a throttling orifice provided according to Embodiment 1 of the present invention;

[0030] Figure 4 This is a flowchart of a flow coefficient verification method according to Embodiment 2 of the present invention;

[0031] Figure 5 This is a flowchart of a flow coefficient verification method provided in Embodiment 3 of the present invention;

[0032] Figure 6 This is a schematic diagram of the structure of a flow coefficient verification device according to Embodiment 4 of the present invention;

[0033] Figure 7 This is a schematic diagram of the structure of an electronic device provided in Embodiment 5 of the present invention. Detailed Implementation

[0034] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0036] Example 1

[0037] Figure 1 This is a flowchart illustrating a flow coefficient verification method according to Embodiment 1 of the present invention. This method can be executed by a flow coefficient verification device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0038] Step 101: During the learning phase, if the throttle valve has a throttle orifice with a specific structure, set the specified parameter values ​​for the various operating parameters of the throttle orifice.

[0039] In this embodiment, a learning phase can be defined, namely, learning the correlation function that characterizes the correlation between various operating parameters and the flow coefficient for the throttle orifice with a specific structure in the throttle valve offline.

[0040] In practical applications, multiple operating parameters that are correlated with the flow coefficient of the throttling orifice can be pre-set through experiments, data mining, and other methods. That is, the flow coefficient of the throttling orifice is affected by these operating parameters, and the flow coefficient of the throttling orifice varies under different operating parameters.

[0041] During the learning phase, for throttling orifices that may have specific types of development tasks, when there are throttling orifices with specific structures in the throttling valve, default parameter values ​​can be set for various operating parameters of the throttling orifice. At this time, the operating parameters are also called the reference operating conditions.

[0042] In one example, such as Figure 2 and Figure 3 As shown, the structure of the throttle orifice includes a valve core 210 and a valve sleeve 220. The valve core 210 is located inside the valve sleeve 220, and a fitting relationship is formed between the valve core 210 and the valve sleeve 220. The fitting relationship between the valve core 210 and the valve sleeve 220 is a clearance fit, which means that the valve core 210 can move relative to the valve sleeve axis 220 to achieve the specific function of the throttle valve.

[0043] In the direction of oil flow, the end of the valve core 210 is tapered, and the end of the valve core 210 has a through hole 211.

[0044] At this time, the operating parameters include the included angle α of the end of the valve core 210, the length-to-diameter ratio L / D of the through hole 211, the orifice diameter D of the through hole 211, the pipe diameter d of the valve core 211, and the viscosity ε of the oil.

[0045] The length-to-diameter ratio L / D of the through hole is the ratio between the length L of the through hole 211 and the diameter D of the through hole 211.

[0046] When the length-to-diameter ratio L / D of the through hole 211 is less than or equal to a preset first threshold, the throttling orifice is a thin-walled hole. The first threshold is greater than 0 and less than 1, such as 0.5.

[0047] When the length-to-diameter ratio L / D of the through hole 211 is greater than a preset first threshold and less than or equal to a preset second threshold, the throttling orifice is a short hole, and the second threshold is greater than 1, such as 4.

[0048] When the length-to-diameter ratio L / D of the through hole 211 is greater than the preset second threshold, the throttling orifice is a narrow orifice.

[0049] Optionally, the diameter of the valve core 210 is equal to the diameter of the valve sleeve 220.

[0050] Optionally, the valve sleeve 220 has a limiting structure 221 for limiting the range of axial movement of the valve core 210 relative to the valve sleeve.

[0051] In this example, the baseline condition can be α = 120°, D = 2mm, L / D = 0.3, d = 10mm.

[0052] ε = 0.02 kg / (ms).

[0053] Of course, the above-described structures and their operating parameters are merely examples. When implementing the embodiments of the present invention, other structures and their operating parameters can be set according to actual circumstances, and the embodiments of the present invention do not impose any limitations on this. Furthermore, in addition to the above-described structures and their operating parameters, those skilled in the art can also use other structures and their operating parameters according to actual needs, and the embodiments of the present invention do not impose any limitations on this.

[0054] Step 102: Sequentially set each working condition parameter as a variable, modify the parameter values ​​of the variables multiple times, and obtain multiple reference groups.

[0055] In this embodiment, the controlled variable method can be applied, in which various operating parameters are set as variables in sequence, the parameter values ​​of the variables are modified multiple times, and a set of reference groups is obtained for each variable.

[0056] For multiple operating condition parameters, multiple reference groups can be generated. The number of parameter values ​​set for variables in each reference group can be the same or different. This embodiment does not impose any restrictions on this.

[0057] For example, the operating parameters include the included angle α at the end of the valve core, the length-to-diameter ratio L / D of the through hole, the diameter D of the through hole, the pipe diameter d of the valve core, and the viscosity ε of the oil. The reference operating conditions can be α = 120°, D = 2 mm, L / D = 0.3, d = 10 mm, and ε = 0.02 kg / (ms).

[0058] In this example, α is set as a variable, and multiple parameter values ​​are set for α, maintaining D = 2mm, L / D = 0.3, d = 10mm, and ε = 0.02kg / (ms), to obtain a set of reference groups.

[0059] By setting L / D as a variable and setting multiple parameter values ​​for L / D, while maintaining α = 120°, D = 2mm, d = 10mm, and ε = 0.02kg / (ms), a set of reference groups is obtained.

[0060] Set D as a variable, set multiple parameter values ​​for D, and maintain α = 120°, L / D = 0.3, d = 10 mm, ε = 0.02 kg / (ms) to obtain a set of reference groups.

[0061] Set d as a variable, set multiple parameter values ​​for d, and maintain α = 120°, D = 2mm, L / D = 0.3, ε = 0.02kg / (ms) to obtain a set of reference groups.

[0062] Set ε as a variable, set multiple parameter values ​​for ε, and maintain α = 120°, D = 2mm, L / D = 0.3, d = 10mm to obtain a set of reference groups.

[0063] Step 103: Establish a finite element model of the throttle orifice based on the parameter values ​​of each reference group.

[0064] For each reference group, a finite element model can be built for the throttle orifice using its parameter values. A finite element model is a model built using the finite element (FEA) analysis method. It is a combination of elements connected at nodes, transmitting force through nodes, and constrained at nodes.

[0065] The basic idea of ​​the finite element method is to discretize a continuous geometric structure into a finite number of elements, and set a finite number of nodes in each element, so that the continuum can be regarded as a collection of a set of elements connected only at the nodes. At the same time, the nodal values ​​of the field function are selected as the basic unknowns, and an approximate interpolation function is assumed in each element to represent the distribution law of the field function in the element. Then, a set of finite element equations is established to solve the nodal unknowns, thereby transforming an infinite degree of freedom problem in a continuous domain into a finite degree of freedom problem in a discrete domain.

[0066] After obtaining the nodal values, the field functions on the elements and even the entire assembly can be determined using a predefined interpolation function. For each element, an appropriate interpolation function is selected such that the function satisfies certain conditions within the subdomain, at the subdomain interface, and on the surface between the subdomain and the external environment. When the element assembly is in equilibrium under known external loads, a series of linear equations with nodal and displacement variables as unknowns are established. After solving for the nodal displacements using a computer, the stress and strain of each element are calculated using relevant formulas from elasticity. When each element is small enough, it represents the true condition at various points along the continuum.

[0067] In practical implementation, the method for establishing the finite element model is as follows:

[0068] 1. Select the mesh type and define the analysis type (there are eight categories, including static, thermal conduction, and frequency).

[0069] 2. Add material properties: Material properties are usually selected from the material library. They do not take into account factors such as defects and surface conditions, and have more uncertainty compared to geometric models.

[0070] 3. Applying Constraints: Defining constraints is where errors are most likely to occur. Common errors stem from over-constraining the model, resulting in an overly rigid structure that underestimates actual deformation and stress values. For assemblies, a special type of constraint, "contact / gap," must also be defined. The purpose of constraints is to prevent rigid body displacement of the model.

[0071] 4. Defining Loads: In reality, we can only roughly know the magnitude, distribution, and time dependence of the loads. Therefore, FEA analysis makes approximate estimates through simplified assumptions. Consequently, defining loads can introduce significant modeling errors (idealization errors).

[0072] 5. Grid division.

[0073] Step 104: Simulate the flow of oil through the finite element model to simulate the flow rate at the outlet of the throttle orifice.

[0074] In this embodiment, finite element software can be used to run a finite element model to simulate the flow of oil through the finite element model (i.e., the throttle orifice in the throttle valve). Specifically, boundary conditions and inlet and outlet fluid pressures can be added, and the inlet pressure can be set to 25 bar and the outlet pressure to 20 bar to achieve simulation. At this time, the simulated value of the flow rate at the outlet of the throttle orifice can be read from the finite element software.

[0075] Step 105: If the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, then measure the flow coefficient of the throttling orifice based on the flow rate of the thin-walled orifice.

[0076] If the operating parameters indicate that the orifice is a thin-walled orifice, then based on the characteristics of the thin-walled orifice, and ignoring the influence of the operating parameters, parameters such as the flow rate and the pressure difference between the inlet and outlet (i.e., the difference between the inlet pressure and the outlet pressure) can be used to measure the flow coefficient of the orifice.

[0077] For example, the flow rate can be substituted into the function set for the thin-walled orifice as follows, and the flow coefficient of the orifice can be measured as the original flow coefficient:

[0078]

[0079] Where q is the flow rate, and C d ρ is the flow coefficient, A is the flow area of ​​the throttling orifice, Δp is the pressure difference between the inlet and outlet of the throttling orifice, and ρ is the density of the oil.

[0080] Step 106: Fit a correlation function that characterizes the correlation between various operating parameters and the flow coefficient under the structure.

[0081] For each reference group, there is a dataset containing parameter values ​​and flow coefficients belonging to multiple operating conditions. In this case, linear function fitting, polynomial fitting, or other methods can be used to fit a correlation function that characterizes the correlation between various operating conditions and flow coefficients under a specific structure, and store it in the form of configuration files, databases, etc.

[0082] For example, the operating parameters include the included angle α at the end of the valve core, the length-to-diameter ratio L / D of the through hole, the diameter D of the through hole, the pipe diameter d of the valve core, and the viscosity ε of the oil. The correlation function generated for these operating parameters is a linear function, which can be expressed as a slope-intercept form, f(x) = mx + b, where x is a variable, m is the slope and m ≠ 0, and b is the y-intercept of f(x). In this example, x is an operating parameter.

[0083] Furthermore, for different operating parameters, the linear functions are respectively the first linear function, the second linear function, the third linear function, the fourth linear function, and the fifth linear function.

[0084] In the first linear function, the variable is the cosine of half the included angle α; in the second linear function, the variable is the length-to-diameter ratio L / D; in the third linear function, the variable is the orifice diameter D; in the fourth linear function, the variable is the reciprocal of the valve core's pipe diameter d; and in the fifth linear function, the variable is the reciprocal of the viscosity ε.

[0085] Furthermore, the slopes of the first, second, third, and fourth linear functions are all positive, while the slope of the fifth linear function is negative. That is, in the first linear function, the flow coefficient is positively correlated with the cosine of the half-value of the included angle α; in the second linear function, the flow coefficient is positively correlated with the length-to-diameter ratio L / D; in the third linear function, the flow coefficient is positively correlated with the orifice diameter D; in the fourth linear function, the flow coefficient is positively correlated with the valve core diameter d; and in the fifth linear function, the flow coefficient is negatively correlated with the reciprocal of the viscosity ε.

[0086] The baseline conditions were set as α = 120°, D = 2 mm, L / D = 0.3, d = 10 mm, and ε = 0.02 kg / (ms). By sequentially setting variables for α, L / D, D, d, and ε, the following five reference groups were obtained. A finite element model was then established and simulations were performed to measure the corresponding flow coefficient C. d .

[0087]

[0088] At this point, the fitted first linear function is f1(α) = 0.979 + 0.034cos(α / 2), the second linear function is f2(L / D) = 0.192L / D + 0.94, the third linear function is f3(D) = 0.011D + 0.979, where D is in mm, the fourth linear function is f4(d) = 0.382 / d + 0.962, where d is in mm, and the fifth linear function is f5(ε) = 1.0096 - 0.0002 / ε, where ε is in kg / (ms).

[0089] Of course, the above-mentioned operating parameters and related functions are only examples. When implementing this embodiment, other operating parameters and related functions can be set according to the actual situation, and this embodiment does not limit this. In addition, besides the above-mentioned judgment and processing method, those skilled in the art can also use other operating parameters and related functions according to actual needs, and this embodiment does not limit this either.

[0090] Example 2

[0091] Figure 4This is a flowchart of a flow coefficient verification method provided in Embodiment 2 of the present invention, as shown below. Figure 4 As shown, the method includes:

[0092] Step 401: During the verification phase, if the throttle valve has a throttle orifice with a specific structure, then determine the parameter values ​​for various operating parameters of the throttle orifice.

[0093] In this embodiment, a verification phase can be defined to verify the correlation function learned in the learning phase, which characterizes the correlation between various operating parameters of the throttling orifice of a specific structure in the throttling valve and the flow coefficient.

[0094] In one example, the structure of the throttle orifice includes a valve core and a valve sleeve, with the valve core moving axially relative to the valve sleeve.

[0095] In the direction of oil flow, the end of the valve core is tapered, and the end of the valve core has a through hole.

[0096] The relevant operating parameters include the included angle at the end of the valve core, the length-to-diameter ratio of the through hole, the diameter of the through hole, the pipe diameter of the valve core, and the viscosity of the oil.

[0097] Wherein, when the aspect ratio of the through hole is less than or equal to a preset first threshold, the throttling orifice is a thin-walled hole, and the first threshold is greater than 0 and less than 1.

[0098] Optionally, the diameter of the valve core is equal to the diameter of the valve sleeve.

[0099] Optionally, the valve sleeve has a limiting structure for limiting the range of axial movement of the valve core relative to the valve sleeve.

[0100] During the verification phase, if the throttle valve has a throttle orifice with a specific structure, a set of corresponding parameter values ​​can be defined for various operating parameters of the throttle orifice.

[0101] In general, default parameter values ​​can be set for various operating parameters of the throttling orifice. That is, the correlation function characterizing the relationship between various operating parameters of the throttling orifice with flow coefficient in a specific structure of the throttling valve can be verified using the reference operating conditions.

[0102] Step 402: Collect the actual flow coefficient of the flow through the throttling orifice in the specified test environment.

[0103] In this embodiment, various conditions of the test environment can be set. In the specified test environment, oil is used to flow through the throttle orifice to detect the flow coefficient of the oil flowing through the throttle orifice, which is recorded as the actual flow coefficient.

[0104] For example, the conditions in the test environment include at least one of the following:

[0105] The inlet pressure is 25±0.5 bar, the outlet pressure is 20±0.5 bar, the hydraulic oil is No. 46 hydraulic oil, the oil temperature range is 30-100℃, the test time is 5 minutes, and there is no leakage or deformation at the throttle port.

[0106] Step 403: Establish a finite element model of the throttle orifice based on the parameter values ​​of various operating conditions.

[0107] In this embodiment, the same set of predefined parameter values ​​for various operating conditions can be used to establish a finite element model of the throttle orifice.

[0108] Step 404: Simulate the flow of oil through the finite element model in the test environment to simulate the flow rate at the outlet of the throttle orifice.

[0109] In this embodiment, finite element software can be used to run the finite element model and simulate the same test environment (i.e., the throttle orifice in the throttle valve) with oil flowing through it. Specifically, for example, the inlet pressure is 25±0.5 bar, the outlet pressure is 20±0.5 bar, the oil is No. 46 hydraulic oil, the oil temperature range is 30-100℃, the test time is 5 minutes, and there is no leakage or deformation at the throttle orifice. At this time, the simulated value of the flow rate at the outlet of the throttle orifice is read from the finite element software.

[0110] Step 405: If the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, then measure the flow coefficient of the throttling orifice based on the flow rate of the thin-walled orifice, and use it as the original flow coefficient.

[0111] If the operating parameters indicate that the orifice is a thin-walled orifice, then based on the characteristics of the thin-walled orifice, and ignoring the influence of the operating parameters, parameters such as the flow rate and the pressure difference between the inlet and outlet (i.e., the difference between the inlet pressure and the outlet pressure) can be used to measure the flow coefficient of the orifice.

[0112] For example, the flow rate can be substituted into the function set for the thin-walled orifice as follows, and the flow coefficient of the orifice can be measured as the original flow coefficient:

[0113]

[0114] Where q is the flow rate, and C d ρ is the flow coefficient, A is the flow area of ​​the throttling orifice, Δp is the pressure difference between the inlet and outlet of the throttling orifice, and ρ is the density of the oil.

[0115] Step 406: Query the correlation functions that characterize the correlation between various operating parameters and flow coefficients under the structure.

[0116] In this embodiment, the correlation functions that represent the correlation between various operating parameters and flow coefficients under the same specific structure can be queried in the configuration file, database, or other locations.

[0117] For example, the operating parameters include the included angle α at the end of the valve core, the length-to-diameter ratio L / D of the through hole, the orifice diameter D of the through hole, the pipe diameter d of the valve core, and the viscosity ε of the oil. The correlation functions generated for these operating parameters are linear functions, namely the first linear function, the second linear function, the third linear function, the fourth linear function, and the fifth linear function.

[0118] In the first linear function, the variable is the cosine of half the included angle α; in the second linear function, the variable is the length-to-diameter ratio L / D; in the third linear function, the variable is the orifice diameter D; in the fourth linear function, the variable is the reciprocal of the valve core's pipe diameter d; and in the fifth linear function, the variable is the reciprocal of the viscosity ε.

[0119] Furthermore, the slopes of the first, second, third, and fourth linear functions are all positive, while the slope of the fifth linear function is negative.

[0120] The first linear function is f1(α) = A1 + A2cos(α / 2), the second linear function is f2(L / D) = A3L / D + A4, the third linear function is f3(D) = A5D + A6, the fourth linear function is f4(d) = A7 / d + A8, and the fifth linear function is f5(ε) = A9 - A 10 / ε, where A1, A2, A3, A4, A5, A6, A7, A8, A9 and A 10 All are constants.

[0121] Step 407: Substitute each parameter value into the relevant function for calculation to obtain the influence factors of each working condition parameter.

[0122] For each operating parameter, by substituting its value into the corresponding relevant function for calculation, the degree of influence of each operating parameter on the flow coefficient can be obtained, which is denoted as the influence factor.

[0123] For example, the operating parameters include the included angle α at the end of the valve core, the length-to-diameter ratio L / D of the through hole, the orifice diameter D of the through hole, the pipe diameter d of the valve core, and the viscosity ε of the oil. The correlation functions generated for these operating parameters are linear functions, namely the first linear function, the second linear function, the third linear function, the fourth linear function, and the fifth linear function. Correspondingly, the influencing factors include the first factor, the second factor, the third factor, the fourth factor, and the fifth factor.

[0124] The parameter value of the included angle is substituted into the first linear function for calculation to obtain the first factor of the included angle, which characterizes the degree to which the included angle of the through hole affects the flow coefficient.

[0125] Substituting the aspect ratio into the second linear function yields a second factor for the aspect ratio, which characterizes the degree to which the aspect ratio of the through-hole affects the flow coefficient.

[0126] Substituting the orifice diameter into the third linear function yields a third factor for the orifice diameter, which characterizes the extent to which the orifice diameter affects the flow coefficient.

[0127] The valve core diameter is substituted into the fourth linear function for calculation to obtain the fourth factor of the valve core diameter, which characterizes the degree to which the valve core diameter affects the flow coefficient.

[0128] The viscosity parameter value is substituted into the fifth linear function for calculation to obtain the fifth viscosity factor, which characterizes the degree to which the viscosity of the oil affects the flow coefficient.

[0129] Step 408: Adjust the original flow coefficient based on all influencing factors to obtain the target flow coefficient.

[0130] In this embodiment, the original flow coefficient can be adjusted linearly or nonlinearly according to the influencing factors corresponding to all operating parameters to achieve adaptive calibration of the original flow coefficient and obtain the target flow coefficient.

[0131] For example, the product of the original flow coefficient, the first factor, the second factor, the third factor, the fourth factor, and the fifth factor is calculated as the target flow coefficient.

[0132] In this example, the adjustment process is represented as follows:

[0133] C d =C d0 ·f1(α)·f2(L / D)·f3(D)·f4(d)·f5(ε)

[0134] Among them, C d C is the target flow coefficient. d0 For the original flow coefficient, if the operating parameters and their values ​​are the baseline operating conditions, C d0 The default value can be used, such as 0.72. In this case, steps 403-405 can be ignored. f1(α) is the first factor, f2(L / D) is the second factor, f3(D) is the third factor, f4(d) is the fourth factor, and f5(ε) is the fifth factor.

[0135] Of course, the above-described method for adjusting the original flow coefficient is merely an example. In implementing this embodiment, other methods for adjusting the original flow coefficient can be set according to actual circumstances, and this embodiment does not impose any limitations on this. Furthermore, in addition to the above-described judgment and processing method, those skilled in the art can also employ other methods for adjusting the original flow coefficient as needed, and this embodiment does not impose any limitations on this either.

[0136] Step 409: Verify the relevant functions based on the actual flow coefficient and the target flow coefficient.

[0137] In the same test environment, the actual flow coefficient is the flow coefficient actually measured, and the target flow coefficient is the flow coefficient predicted using operating parameters. By comparing the actual flow coefficient with the target flow coefficient, it can be verified whether the correlation function characterizing the correlation between various operating parameters of the throttle orifice with the flow coefficient in a specific structure of the throttle valve meets the requirements for developing the throttle valve.

[0138] In practice, the ratio between the actual flow coefficient and the target flow coefficient (i.e., actual flow coefficient / target flow coefficient) can be calculated, and the accurate range containing 100% can be queried. This accurate range is set according to the needs of developing the throttle valve. It is generally a range obtained by extending a certain distance upward and / or downward from 100%, such as [95%, 105%].

[0139] The ratio between the actual flow coefficient and the target flow coefficient (i.e., actual flow coefficient / target flow coefficient) is compared with the accurate range.

[0140] If the ratio between the actual flow coefficient and the target flow coefficient (i.e., actual flow coefficient / target flow coefficient) is within the accurate range, it means that the accuracy of the correlation function characterizing the correlation between the various operating parameters of the throttle orifice of a specific structure in the throttle valve and the flow coefficient meets the requirements for developing the throttle valve. In this case, the correlation function is determined to have passed the verification.

[0141] If the ratio between the actual flow coefficient and the target flow coefficient (i.e., actual flow coefficient / target flow coefficient) is outside the accurate range, it indicates that the accuracy of the correlation function characterizing the correlation between the various operating parameters of the throttle orifice of a specific structure in the throttle valve and the flow coefficient does not meet the requirements for developing the throttle valve. Therefore, the correlation function is determined to have failed the verification.

[0142] Furthermore, multiple tests can be conducted and statistical methods can be used to verify the accuracy of the verification. For example, the average value of the ratio between the actual flow coefficient and the target flow coefficient can be taken, the ratio between the average value of the actual flow coefficient and the average value of the target flow coefficient can be calculated, and the probability that the ratio between the actual flow coefficient and the target flow coefficient (i.e., actual flow coefficient / target flow coefficient) is within the accurate range can be statistically analyzed. This embodiment does not impose any limitations on this.

[0143] Example 3

[0144] Figure 5 A flowchart of a flow coefficient verification method provided in Embodiment 3 of the present invention is shown below. Figure 5 As shown, the method includes:

[0145] Step 501: During the development phase, if the throttle valve has a throttle orifice with a specific structure, then the parameter values ​​of various operating conditions of the throttle orifice are detected.

[0146] In this embodiment, a development phase can be defined, where developers use tools such as hydraulic simulation software to develop products that include throttle valves. During this development phase, if the throttle valve has a throttle orifice with a specific structure, the parameter values ​​set by the developers can be detected for various operating parameters of the throttle orifice.

[0147] In one example, the structure of the throttle orifice includes a valve core and a valve sleeve, with the valve core moving axially relative to the valve sleeve.

[0148] In the direction of oil flow, the end of the valve core is tapered, and the end of the valve core has a through hole.

[0149] The relevant operating parameters include the included angle at the end of the valve core, the length-to-diameter ratio of the through hole, the diameter of the through hole, the pipe diameter of the valve core, and the viscosity of the oil.

[0150] Wherein, when the aspect ratio of the through hole is less than or equal to a preset first threshold, the throttling orifice is a thin-walled hole, and the first threshold is greater than 0 and less than 1.

[0151] Optionally, the diameter of the valve core is equal to the diameter of the valve sleeve.

[0152] Optionally, the valve sleeve has a limiting structure for limiting the range of axial movement of the valve core relative to the valve sleeve.

[0153] Step 502: If the parameter values ​​of the operating conditions indicate that the throttling orifice is a thin-walled hole, then query the correlation functions that characterize the correlation between each operating condition parameter and the flow coefficient under the structure.

[0154] In this embodiment, the correlation functions that represent the correlation between various operating parameters and flow coefficients under the same specific structure can be queried in the configuration file, database, or other locations.

[0155] For example, the operating parameters include the included angle α at the end of the valve core, the length-to-diameter ratio L / D of the through hole, the orifice diameter D of the through hole, the pipe diameter d of the valve core, and the viscosity ε of the oil. The correlation functions generated for these operating parameters are linear functions, namely the first linear function, the second linear function, the third linear function, the fourth linear function, and the fifth linear function.

[0156] In the first linear function, the variable is the cosine of half the included angle α; in the second linear function, the variable is the length-to-diameter ratio L / D; in the third linear function, the variable is the orifice diameter D; in the fourth linear function, the variable is the reciprocal of the valve core's pipe diameter d; and in the fifth linear function, the variable is the reciprocal of the viscosity ε.

[0157] Furthermore, the slopes of the first, second, third, and fourth linear functions are all positive, while the slope of the fifth linear function is negative.

[0158] The first linear function is f1(α) = A1 + A2cos(α / 2), the second linear function is f2(L / D) = A3L / D + A4, the third linear function is f3(D) = A5D + A6, the fourth linear function is f4(d) = A7 / d + A8, and the fifth linear function is f5(ε) = A9 - A 10 / ε, where A1, A2, A3, A4, A5, A6, A7, A8, A9 and A 10 All are constants.

[0159] Step 503: Substitute each parameter value into the relevant function for calculation to obtain the influence factors of each working condition parameter.

[0160] For each operating parameter, by substituting its value into the corresponding relevant function for calculation, the degree of influence of each operating parameter on the flow coefficient can be obtained, which is denoted as the influence factor.

[0161] For example, the operating parameters include the included angle α at the end of the valve core, the length-to-diameter ratio L / D of the through hole, the orifice diameter D of the through hole, the pipe diameter d of the valve core, and the viscosity ε of the oil. The correlation functions generated for these operating parameters are linear functions, namely the first linear function, the second linear function, the third linear function, the fourth linear function, and the fifth linear function. Correspondingly, the influencing factors include the first factor, the second factor, the third factor, the fourth factor, and the fifth factor.

[0162] The parameter value of the included angle is substituted into the first linear function for calculation to obtain the first factor of the included angle, which characterizes the degree to which the included angle of the through hole affects the flow coefficient.

[0163] Substituting the aspect ratio into the second linear function yields a second factor for the aspect ratio, which characterizes the degree to which the aspect ratio of the through-hole affects the flow coefficient.

[0164] Substituting the orifice diameter into the third linear function yields a third factor for the orifice diameter, which characterizes the extent to which the orifice diameter affects the flow coefficient.

[0165] The valve core diameter is substituted into the fourth linear function for calculation to obtain the fourth factor of the valve core diameter, which characterizes the degree to which the valve core diameter affects the flow coefficient.

[0166] The viscosity parameter value is substituted into the fifth linear function for calculation to obtain the fifth viscosity factor, which characterizes the degree to which the viscosity of the oil affects the flow coefficient.

[0167] Step 504: Adjust the original flow coefficient based on all influencing factors to obtain the target flow coefficient.

[0168] In this embodiment, the throttle port is configured with a flow coefficient, denoted as the original flow coefficient. This original flow coefficient can be set by the developers according to the business needs of the developed product. Generally, the original flow coefficient is the flow coefficient corresponding to the default parameter values ​​configured for each operating condition parameter, that is, the flow coefficient under the baseline operating condition.

[0169] By adjusting the original flow coefficient linearly or nonlinearly based on the influencing factors corresponding to all operating parameters, adaptive calibration of the original flow coefficient can be achieved, and the target flow coefficient can be obtained.

[0170] For example, the product of the original flow coefficient, the first factor, the second factor, the third factor, the fourth factor, and the fifth factor is calculated as the target flow coefficient.

[0171] In this example, the adjustment process is represented as follows:

[0172] C d =C d0 ·f1(α)·f2(L / D)·f3(D)·f4(d)·f5(ε)

[0173] Among them, C d C is the target flow coefficient. d0 For the original flow coefficient, if the operating parameters and their values ​​are the baseline operating conditions, C d0 The default values ​​can be 0.72, where f1(α) is the first factor, f2(L / D) is the second factor, f3(D) is the third factor, f4(d) is the fourth factor, and f5(ε) is the fifth factor.

[0174] Of course, the above-described method for adjusting the original flow coefficient is merely an example. In implementing this embodiment, other methods for adjusting the original flow coefficient can be set according to actual circumstances, and this embodiment does not impose any limitations on this. Furthermore, in addition to the above-described judgment and processing method, those skilled in the art can also employ other methods for adjusting the original flow coefficient as needed, and this embodiment does not impose any limitations on this either.

[0175] Step 505: Verify whether the target flow coefficient meets the development goals.

[0176] In practical applications, the throttling port is configured with development targets. These targets can be set by developers based on the business needs of the product being developed. The target flow coefficient is compared with the development target to determine whether the target flow coefficient meets the development target, providing a reference for developers when developing the product.

[0177] In this embodiment, during the development phase, if the throttle valve has a throttle orifice with a specific structure, the parameter values ​​of various operating conditions of the throttle orifice are detected. The throttle orifice is configured with an original flow coefficient and a development target. If the parameter values ​​of the operating conditions indicate that the throttle orifice is a thin-walled orifice, the correlation functions representing the correlation between various operating conditions and the flow coefficient under the given structure are queried. Each parameter value is substituted into the correlation function for calculation to obtain the influence factors of each operating condition parameter. The original flow coefficient is adjusted based on all influence factors to obtain the target flow coefficient. The target flow coefficient is then verified to ensure it meets the development target. For a throttle orifice with a specific structure, corresponding operating parameters can be set. The influence factors of these operating parameters on the original flow coefficient are used to adjust the original flow coefficient, achieving adaptive calibration of the original flow coefficient. This allows the calibrated target flow coefficient to adapt to the specific structure of the throttle orifice, improving the accuracy of the target flow coefficient and thus increasing the efficiency of the development work.

[0178] Example 4

[0179] Figure 6 This is a schematic diagram of a flow coefficient verification device provided in Embodiment 4 of the present invention. Figure 6 As shown, the device includes:

[0180] The operating condition parameter detection module 601 is used to detect the parameter values ​​of various operating condition parameters of the throttle orifice if the throttle valve has a throttle orifice with a specific structure during the development stage. The throttle orifice is configured with an original flow coefficient and a development target.

[0181] The correlation function query module 602 is used to query the correlation function that represents the correlation between each of the operating parameters and the flow coefficient under the structure if the parameter value of the operating parameter indicates that the throttling orifice is a thin-walled orifice.

[0182] The influence factor calculation module 603 is used to substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factor of each of the working condition parameters.

[0183] The flow coefficient adjustment module 604 is used to adjust the original flow coefficient according to all the influencing factors to obtain the target flow coefficient;

[0184] The development target verification module 605 is used to verify whether the target flow coefficient meets the development target.

[0185] In one embodiment of the present invention, the structure of the throttling orifice includes a valve core and a valve sleeve, wherein the valve core moves axially relative to the valve sleeve;

[0186] In the direction of oil flow, the end of the valve core is tapered, and the end of the valve core has a through hole;

[0187] The operating parameters include the included angle at the end of the valve core, the length-to-diameter ratio of the through hole, the diameter of the through hole, the pipe diameter of the valve core, and the viscosity of the oil.

[0188] Wherein, when the aspect ratio of the through hole is less than or equal to a preset first threshold, the throttling orifice is a thin-walled hole, and the first threshold is greater than 0 and less than 1;

[0189] The diameter of the valve core is equal to the diameter of the valve sleeve;

[0190] The valve sleeve has a limiting structure, which is used to limit the range of axial movement of the valve core relative to the valve sleeve.

[0191] In one embodiment of the present invention, the influencing factors include a first factor, a second factor, a third factor, a fourth factor, and a fifth factor; the correlation function includes a first linear function, a second linear function, a third linear function, a fourth linear function, and a fifth linear function, wherein the variable in the first linear function is the cosine of the half-value of the included angle, the variable in the second linear function is the aspect ratio, the variable in the third linear function is the orifice diameter, the variable in the fourth linear function is the reciprocal of the valve core diameter, and the variable in the fifth linear function is the reciprocal of the viscosity; the slopes of the first linear function, the second linear function, the third linear function, and the fourth linear function are all positive, and the slope of the fifth linear function is negative.

[0192] The impact factor calculation module 603 includes:

[0193] The first factor calculation module is used to substitute the parameter value of the included angle into the first linear function for calculation to obtain the first factor of the included angle;

[0194] The second factor calculation module is used to substitute the aspect ratio into the second linear function for calculation to obtain the second factor of the aspect ratio.

[0195] The third factor calculation module is used to substitute the aperture into the third linear function for calculation to obtain the third factor of the aperture;

[0196] The fourth factor calculation module is used to substitute the diameter of the valve core into the fourth linear function for calculation to obtain the fourth factor of the diameter of the valve core.

[0197] The fifth factor calculation module is used to substitute the viscosity parameter value into the fifth linear function for calculation to obtain the fifth factor of the viscosity;

[0198] Accordingly, the flow coefficient adjustment module 604 includes:

[0199] The linear adjustment module is used to calculate the product of the original flow coefficient, the first factor, the second factor, the third factor, the fourth factor, and the fifth factor as the target flow coefficient.

[0200] In one embodiment of the present invention, it further includes:

[0201] The baseline operating condition setting module is used to set default parameter values ​​for various operating condition parameters of the throttle orifice if the throttle valve has a specific structure during the learning phase.

[0202] The variable adjustment module is used to sequentially set each of the aforementioned working condition parameters as variables, modify the parameter values ​​of the variables multiple times, and obtain multiple sets of reference groups;

[0203] The first finite element model building module is used to build a finite element model of the throttle orifice based on the parameter values ​​of each reference group.

[0204] The first flow rate simulation module is used to simulate the flow of oil through the finite element model to simulate the flow rate at the outlet of the throttle port.

[0205] The flow coefficient measurement module is used to measure the flow coefficient of the throttling orifice based on the flow rate of the thin-walled orifice if the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice.

[0206] The correlation function fitting module is used to fit the correlation function that characterizes the correlation between the various operating parameters and the flow coefficient under the structure.

[0207] In one embodiment of the present invention, the flow coefficient measurement module is further configured to:

[0208] Substitute the flow rate into the function set for the thin-walled orifice as follows, and measure the flow coefficient of the throttling orifice as the original flow coefficient:

[0209]

[0210] Where q is the flow rate, and C dρ is the flow coefficient, A is the flow area of ​​the throttling orifice, Δp is the pressure difference between the inlet and outlet of the throttling orifice, and ρ is the density of the oil.

[0211] In one embodiment of the present invention, it further includes:

[0212] The operating condition parameter determination module is used to determine the parameter values ​​of various operating condition parameters of the throttle orifice if the throttle valve has a specific structure during the verification phase.

[0213] The actual flow coefficient acquisition module is used to acquire the actual flow coefficient of the oil flowing through the throttle orifice in a specified test environment;

[0214] The second finite element model building module is used to build a finite element model of the throttle orifice based on the parameter values ​​of each of the aforementioned working condition parameters.

[0215] The second flow simulation module is used to simulate the flow of oil through the test environment in the finite element model to simulate the flow rate at the outlet of the throttle port.

[0216] The flow coefficient measurement module is used to measure the flow coefficient of the throttling orifice based on the flow rate of the thin-walled orifice if the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, and use it as the original flow coefficient.

[0217] The correlation function query module is used to query the correlation functions that characterize the correlation between each of the operating parameters and the flow coefficient under the structure.

[0218] The influence factor calculation module is used to substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factor of each of the working condition parameters.

[0219] The flow coefficient adjustment module is used to adjust the original flow coefficient according to all the influencing factors to obtain the target flow coefficient;

[0220] The correlation function verification module is used to verify the correlation function based on the actual flow coefficient and the target flow coefficient.

[0221] In one embodiment of the present invention, the related function verification module includes:

[0222] The ratio calculation module is used to calculate the ratio between the actual flow coefficient and the target flow coefficient;

[0223] The accurate range query module is used to query a range that contains 100% accuracy.

[0224] A range verification module is used to determine that the correlation function passes the verification if the ratio is within the accurate range.

[0225] The flow coefficient verification device provided in this embodiment of the invention can execute the flow coefficient verification method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the flow coefficient verification method.

[0226] Example 5

[0227] Figure 7 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0228] like Figure 7 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0229] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0230] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the flow coefficient verification method.

[0231] In some embodiments, the flow coefficient verification method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the flow coefficient verification method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the flow coefficient verification method by any other suitable means (e.g., by means of firmware).

[0232] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0233] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0234] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0235] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0236] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0237] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0238] Example 6

[0239] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the flow coefficient verification method provided in any embodiment of this invention.

[0240] In implementing the computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0241] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0242] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for verifying flow coefficients, characterized in that, include: During the development phase, if the throttle valve has a throttle port with a specific structure, the parameter values ​​of various operating parameters of the throttle port are detected. The throttle port is configured with an original flow coefficient and a development target. The structure of the throttling orifice includes a valve core and a valve sleeve, and the valve core moves axially relative to the valve sleeve. In the direction of oil flow, the end of the valve core is tapered, and the end of the valve core has a through hole; The operating parameters include the included angle at the end of the valve core, the length-to-diameter ratio of the through hole, the diameter of the through hole, the pipe diameter of the valve core, and the viscosity of the oil. If the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, then query the correlation function that represents the correlation between each of the operating condition parameters and the flow coefficient under the structure. Substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factors of each of the operating condition parameters; The original flow coefficient is adjusted based on all the aforementioned influencing factors to obtain the target flow coefficient; Verify whether the target flow coefficient meets the development objective.

2. The method according to claim 1, characterized in that, When the aspect ratio of the through hole is less than or equal to a preset first threshold, the throttling orifice is a thin-walled hole, and the first threshold is greater than 0 and less than 1; The diameter of the valve core is equal to the diameter of the valve sleeve; The valve sleeve has a limiting structure, which is used to limit the range of axial movement of the valve core relative to the valve sleeve.

3. The method according to claim 2, characterized in that, The influencing factors include a first factor, a second factor, a third factor, a fourth factor, and a fifth factor; the correlation functions include a first linear function, a second linear function, a third linear function, a fourth linear function, and a fifth linear function, wherein the variable in the first linear function is the cosine of the half-value of the included angle, the variable in the second linear function is the aspect ratio, the variable in the third linear function is the orifice diameter, the variable in the fourth linear function is the reciprocal of the valve core diameter, and the variable in the fifth linear function is the reciprocal of the viscosity; the slopes of the first linear function, the second linear function, the third linear function, and the fourth linear function are all positive, and the slope of the fifth linear function is negative. The step of substituting each of the parameter values ​​into the relevant function for calculation to obtain the influence factors of each of the operating condition parameters includes: Substitute the parameter value of the included angle into the first linear function for calculation to obtain the first factor of the included angle; Substitute the aspect ratio into the second linear function for calculation to obtain the second factor of the aspect ratio; Substitute the aperture into the third linear function for calculation to obtain the third factor of the aperture; Substitute the diameter of the valve core into the fourth linear function for calculation to obtain the fourth factor of the valve core diameter; The viscosity parameter value is substituted into the fifth linear function for calculation to obtain the fifth factor of viscosity; The step of adjusting the original flow coefficient based on all the influencing factors to obtain the target flow coefficient includes: The product of the original flow coefficient, the first factor, the second factor, the third factor, the fourth factor, and the fifth factor is calculated as the target flow coefficient.

4. The method according to any one of claims 1-3, characterized in that, Also includes: During the learning phase, if the throttle valve has a throttle orifice with a specific structure, then the default parameter values ​​are set for the various operating parameters of the throttle orifice. By sequentially setting each of the aforementioned operating condition parameters as variables and modifying the parameter values ​​of the variables multiple times, multiple sets of reference groups are obtained. A finite element model of the throttle orifice is established based on the parameter values ​​of the reference group described in each group; The finite element model was used to simulate the flow of oil through it, in order to simulate the flow rate at the outlet of the throttle orifice. If the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, then the flow rate is used to measure the flow coefficient of the throttling orifice based on the thin-walled orifice. Fit a correlation function that characterizes the correlation between the various operating parameters and the flow coefficient under the given structure.

5. The method according to claim 4, characterized in that, The measurement of the flow coefficient of the throttling orifice based on the flow rate through the thin-walled orifice includes: Substitute the flow rate into the function set for the thin-walled orifice as follows, and measure the flow coefficient of the throttling orifice as the original flow coefficient: in, The flow rate is... For flow coefficient, The flow area of ​​the throttling orifice. The pressure difference between the inlet and outlet of the throttle orifice. This represents the density of the oil.

6. The method according to claim 5, characterized in that, Also includes: During the verification phase, if the throttle valve has a throttle orifice with a specific structure, then the parameter values ​​for various operating parameters of the throttle orifice are determined. The actual flow coefficient of the oil flowing through the throttling orifice in a specified test environment is collected; A finite element model of the throttle orifice is established based on the parameter values ​​of each of the aforementioned operating conditions. The finite element model was simulated to flow through the oil in the test environment to simulate the flow rate at the outlet of the throttle orifice; If the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice, then the flow rate is used to measure the flow coefficient of the throttling orifice based on the flow rate of the thin-walled orifice, and this coefficient is used as the original flow coefficient. Query the correlation functions that characterize the correlation between each of the operating parameters and the flow coefficient under the given structure; Substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factors of each of the operating condition parameters; The original flow coefficient is adjusted based on all the aforementioned influencing factors to obtain the target flow coefficient; The correlation function is verified based on the actual flow coefficient and the target flow coefficient.

7. The method according to claim 6, characterized in that, The step of verifying the relevant function based on the actual flow coefficient and the target flow coefficient includes: Calculate the ratio between the actual flow coefficient and the target flow coefficient; The query contains 100% accurate range; If the ratio is within the accurate range, then the correlation function is determined to have passed the verification.

8. A flow coefficient verification device, characterized in that, include: The operating condition parameter detection module is used during the development phase to detect the parameter values ​​of various operating condition parameters of the throttle orifice if the throttle valve has a throttle orifice with a specific structure. The throttle orifice is configured with an original flow coefficient and a development target. The structure of the throttling orifice includes a valve core and a valve sleeve, and the valve core moves axially relative to the valve sleeve. In the direction of oil flow, the end of the valve core is tapered, and the end of the valve core has a through hole; The operating parameters include the included angle at the end of the valve core, the length-to-diameter ratio of the through hole, the diameter of the through hole, the pipe diameter of the valve core, and the viscosity of the oil. The related function query module is used to query the related functions that characterize the correlation between each of the operating parameters and the flow coefficient under the given structure if the parameter value of the operating condition parameter indicates that the throttling orifice is a thin-walled orifice. The influence factor calculation module is used to substitute each of the parameter values ​​into the relevant function for calculation to obtain the influence factor of each of the working condition parameters. The flow coefficient adjustment module is used to adjust the original flow coefficient according to all the influencing factors to obtain the target flow coefficient; A target verification module is developed to verify whether the target flow coefficient meets the development target.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the flow coefficient verification method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method for verifying the flow coefficient according to any one of claims 1-7.

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