CN113627100A - Flow coefficient determination method and device and electronic equipment - Google Patents

Flow coefficient determination method and device and electronic equipment Download PDF

Info

Publication number
CN113627100A
CN113627100A CN202110895654.5A CN202110895654A CN113627100A CN 113627100 A CN113627100 A CN 113627100A CN 202110895654 A CN202110895654 A CN 202110895654A CN 113627100 A CN113627100 A CN 113627100A
Authority
CN
China
Prior art keywords
simulation
valve
preset
flow
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110895654.5A
Other languages
Chinese (zh)
Other versions
CN113627100B (en
Inventor
张楼悦
朱美印
王曦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beihang University
Original Assignee
Beihang University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beihang University filed Critical Beihang University
Priority to CN202110895654.5A priority Critical patent/CN113627100B/en
Publication of CN113627100A publication Critical patent/CN113627100A/en
Application granted granted Critical
Publication of CN113627100B publication Critical patent/CN113627100B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/28Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Fluid Mechanics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Computer Graphics (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a flow coefficient determination method, a flow coefficient determination device and electronic equipment, wherein after a simulation instruction sent by a user is received, a preset valve flow field simulation model is subjected to simulation processing based on the simulation instruction and preset simulation parameters, and an error result is calculated based on an obtained simulation result and a preset experiment result; and if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached to obtain a final valve flow field simulation model, and determining the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters. The method can determine the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters, and the final valve flow field simulation model meeting the precision requirement can be obtained only by a limited amount of experimental data, so that the requirement on the amount of the experimental data can be reduced, and the acquisition efficiency of the flow coefficient is improved while the flow coefficient meeting the precision requirement is obtained.

Description

Flow coefficient determination method and device and electronic equipment
Technical Field
The invention relates to the technical field of regulating valves, in particular to a flow coefficient determining method and device and electronic equipment.
Background
The sleeve valve is one kind of governing valve, and the major structure of sleeve valve is a pair of inside and outside overlapping sleeve, and the symmetric distribution is being used for controlling the orifice of fluid flow on the telescopic wall of inside, just can be comparatively convenient change sleeve valve's flow characteristic through the shape size who changes the orifice, and sleeve valve is as pipe network control system's governing valve, need confirm this sleeve valve's flow characteristic earlier when designing pipe network control system, and is concrete, needs confirm this sleeve valve's flow coefficient usually. In the related art, data analysis is usually performed on an actual test data scatter diagram through a neural network algorithm, or a correlation method of iterative fitting regression is performed on acquired scatter data, which can obtain a flow coefficient with higher precision, but has higher requirements on the number of test data, and the acquisition efficiency of the flow coefficient is lower, and if the number of test data is insufficient or less, it is difficult to acquire the flow coefficient meeting the precision requirement by using the above method.
Disclosure of Invention
The invention aims to provide a method and a device for determining a flow coefficient and electronic equipment, so as to improve the processing efficiency and improve the accuracy of the flow coefficient.
The invention provides a flow coefficient determination method, which comprises the following steps: receiving a simulation instruction sent by a user; performing simulation processing on a preset valve flow field simulation model based on a simulation instruction and preset simulation parameters to obtain a simulation result; calculating an error result based on the simulation result and a preset experiment result; if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached, and obtaining a final valve flow field simulation model; and determining the flow coefficient based on the final valve flow field simulation model and preset simulation parameters.
Further, the preset valve flow field simulation model is determined by the following method: receiving a model building instruction sent by a user; constructing a three-dimensional model of the valve according to the model construction instruction; receiving a model import instruction and preset import parameters sent by a user; and inputting the valve three-dimensional model into preset simulation software based on the model import instruction and the preset import parameters to obtain a valve flow field simulation model corresponding to the valve three-dimensional model.
Further, the preset conditions include: the error results do not conform to the preset results, or the number of the error results reaches the preset number.
Further, the simulation parameters include a plurality of sets, each set of simulation parameters includes a valve opening data and a valve pressure ratio, wherein the valve pressure ratio includes: a ratio of a post-valve pressure to a pre-valve pressure of the valve; the step of determining the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters comprises the following steps: for each set of simulation parameters, determining simulation flow corresponding to the set of simulation parameters based on the final valve flow field simulation model and the set of simulation parameters; determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters; and determining a flow coefficient set based on the flow coefficient corresponding to each group of simulation parameters.
Further, the method further comprises: carrying out interpolation processing on the flow coefficient set to obtain a processed flow coefficient set; and inputting the processed flow coefficient set and preset input parameters into a preset simulation verification model to obtain an output result.
The invention provides a flow coefficient determining device, which comprises: the receiving module is used for receiving a simulation instruction sent by a user; the simulation module is used for carrying out simulation processing on a preset valve flow field simulation model based on a simulation instruction and preset simulation parameters to obtain a simulation result; the calculation module is used for calculating an error result based on the simulation result and a preset experiment result; the first determining module is used for continuing to execute the step of receiving the simulation instruction sent by the user if the error result accords with the preset result until the preset condition is reached, and obtaining a final valve flow field simulation model; and the second determining module is used for determining the flow coefficient based on the final valve flow field simulation model and preset simulation parameters.
Further, the apparatus further comprises: a valve flow field simulation model determining module; the valve flow field simulation model determining module is used for: receiving a model building instruction sent by a user; constructing a three-dimensional model of the valve according to the model construction instruction; receiving a model import instruction and preset import parameters sent by a user; and inputting the valve three-dimensional model into preset simulation software based on the model import instruction and the preset import parameters to obtain a valve flow field simulation model corresponding to the valve three-dimensional model.
Further, the preset conditions include: the error results do not conform to the preset results, or the number of the error results reaches the preset number.
Further, the simulation parameters include a plurality of sets, each set of simulation parameters includes a valve opening data and a valve pressure ratio, wherein the valve pressure ratio includes: a ratio of a post-valve pressure to a pre-valve pressure of the valve; the second determination module is further to: for each set of simulation parameters, determining simulation flow corresponding to the set of simulation parameters based on the final valve flow field simulation model and the set of simulation parameters; determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters; and determining a flow coefficient set based on the flow coefficient corresponding to each group of simulation parameters.
The invention provides an electronic device which comprises a processor and a memory, wherein the memory stores machine executable instructions capable of being executed by the processor, and the processor executes the machine executable instructions to realize the flow coefficient determination method.
According to the flow coefficient determination method, the flow coefficient determination device and the electronic equipment, after a simulation instruction sent by a user is received, a simulation process can be performed on a preset valve flow field simulation model based on the simulation instruction and preset simulation parameters, and an error result is calculated based on an obtained simulation result and a preset experiment result; and if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached to obtain a final valve flow field simulation model, and determining the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters. The method can determine the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters, and the final valve flow field simulation model meeting the precision requirement can be obtained only by a limited amount of experimental data, so that the requirement on the amount of the experimental data can be reduced, and the acquisition efficiency of the flow coefficient is improved while the flow coefficient meeting the precision requirement is obtained.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a flow coefficient determining method according to an embodiment of the present invention;
fig. 2 is a flowchart of another flow coefficient determining method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a sleeve valve according to an embodiment of the present invention;
fig. 4 is a flowchart of a flow characteristic obtaining method according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a three-dimensional flow field simulation model of a sleeve valve according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a flow coefficient surface according to an embodiment of the present invention;
FIG. 7 is a graph illustrating a comparison of outputs from a first flow test according to an embodiment of the present invention;
FIG. 8 is a graph illustrating relative error analysis of a first flow test according to an embodiment of the present invention;
FIG. 9 is a comparative graph of the output of a second flow test according to an embodiment of the present invention;
FIG. 10 is a graph illustrating relative error analysis for a second flow test according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of a flow coefficient determining apparatus according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The sleeve valve is as pipe network control system's governing valve, need acquire the flow characteristic of this sleeve valve earlier when designing pipe network control system, and is concrete, usually need confirm the flow coefficient of this sleeve valve. In the related art, for a large-diameter sleeve valve, the flow characteristic interpolation can be generally and directly obtained by an actual test method, and the method is high in cost, long in research and development period, and incapable of effectively guaranteeing precision, and generally does not serve as a mainstream method. In another mode, the flow characteristic of the regulating valve is mainly obtained by analyzing the flow characteristic by using a Computational Fluid Dynamics (CFD) technique for a specific model of the regulating valve. As the numerical simulation software of CFD on the market is developed more mature at present, the method can achieve a simulation result with higher precision with higher efficiency; the method has the advantages that the accuracy and quality of the flow coefficient table are very dependent on professional literacy and simulation experience of simulation personnel, so that the divergence of the accuracy of the flow coefficient of the same type of valve under different working conditions is large, and errors on a model are brought to modeling and simulation of a subsequent control system. In another mode, a neural network algorithm may be used to perform data analysis on a scatter diagram of actual test data, or a correlation method of iterative fitting regression on collected scatter data is used, which may obtain a flow coefficient table with high accuracy, but has a high requirement on the number of test data, and if the number of test data is insufficient or small, it is difficult to obtain a flow coefficient meeting the accuracy requirement in the above mode.
Based on this, the embodiment of the invention provides a flow coefficient determination method, a flow coefficient determination device and electronic equipment, and the technology can be applied to applications requiring the acquisition of flow characteristics of a regulating valve, and particularly can be applied to applications requiring the acquisition of a flow coefficient of the regulating valve.
In order to facilitate understanding of the embodiment, first, a flow coefficient determining method disclosed in the embodiment of the present invention is described in detail; as shown in fig. 1, the method comprises the steps of:
step S102, receiving a simulation instruction sent by a user.
The simulation instruction can be understood as an instruction which is sent by a user and needs to simulate a preset valve flow field simulation model; in actual implementation, the simulation instruction issued by the user may be received by simulation software, where the analysis software may be flow field simulation software, such as ANSYS Fluent or STAR-ccm (computerized continuous mechanics), etc.
And step S104, carrying out simulation processing on a preset valve flow field simulation model based on the simulation instruction and preset simulation parameters to obtain a simulation result.
The valve flow field simulation model may be a three-dimensional flow field simulation model of a sleeve valve, and the like, and is usually drawn with a grid and usually configured with relevant configuration parameters, such as pre-valve pressure, pre-valve temperature, valve opening, post-valve pressure, and the like; the simulation parameters generally comprise preset parameters such as boundary conditions, iteration times or convergence indexes preset for a valve flow field simulation model; in practical implementation, after a simulation instruction sent by a user is received, the valve flow field simulation model can be simulated according to the simulation instruction and preset simulation parameters to obtain a simulation result, and for the valve flow field simulation model, the simulation result is usually the output flow of a valve, namely the mass flow of the valve, wherein the mass flow can be understood as the mass of fluid flowing through the effective section of a closed pipeline or an open groove in unit time, and the unit is usually kg/s or kg/h and the like.
And step S106, calculating an error result based on the simulation result and a preset experiment result.
The preset experimental result is usually an actual experimental flow result under the same condition as the simulation process, for example, an actual experimental result when the same before-valve pressure, before-valve temperature, valve opening, and after-valve pressure as the simulation process is obtained; the error result is usually a relative error between the simulation result and the preset experimental result, for example, the calculation formula of the relative error may be: relative error | simulation result-preset experimental result |/preset experimental result 100%.
And S108, if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached, and obtaining the final valve flow field simulation model.
The preset result is usually a preset relative error threshold, for example, the relative error threshold may be 7% or 8%, and the preset result may be specifically set according to actual requirements; in actual implementation, the error result may be compared with a preset result to determine whether the error result meets the precision requirement, and if the error result meets the preset result, the step of receiving the simulation instruction sent by the user is usually repeatedly executed until a preset condition is reached, where the preset condition may be a condition for indicating that the repeating process is stopped, for example, the preset condition may be that the number of the obtained error results reaches a specified number, or may be that the number of times of repeated execution reaches a specified number, for example, 10 times of repeated execution is performed, so as to obtain 10 error results, and the like; and obtaining the final valve flow field simulation model after the preset conditions are met, wherein the final valve flow field simulation model can be understood as a model which can meet the precision requirement under different boundary conditions.
If the error result does not meet the preset result, corresponding prompt information can be generated, the prompt information can be used for prompting a user that the preset valve flow field simulation model possibly needs to be modified, and specifically, the user can analyze the reason according to the error result so as to modify the simulation model.
And step S110, determining a flow coefficient based on the final valve flow field simulation model and preset simulation parameters.
The preset simulation parameters may be one or more different combinations of valve opening and valve pressure ratio, for example, the valve opening is 10 °, 20 °, …, 90 ° and the pressure ratio is 0.1, 0.2, …, 0.9; wherein the valve pressure ratio may be a ratio between a post-valve pressure and a pre-valve pressure; after the final valve flow field simulation model is obtained, the flow coefficient can be obtained based on the final valve flow field simulation model and preset simulation parameters, the flow coefficient usually includes a plurality of flow coefficients under the condition that the simulation parameters include a plurality of different combinations, and the plurality of flow coefficients can be expressed in a table form, so that a flow coefficient table is obtained.
According to the flow coefficient determination method, after a simulation instruction sent by a user is received, a preset valve flow field simulation model can be subjected to simulation processing based on the simulation instruction and preset simulation parameters, and an error result is calculated based on an obtained simulation result and a preset experiment result; and if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached to obtain a final valve flow field simulation model, and determining the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters. The method can determine the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters, and the final valve flow field simulation model meeting the precision requirement can be obtained only by a limited amount of experimental data, so that the requirement on the amount of the experimental data can be reduced, and the acquisition efficiency of the flow coefficient is improved while the flow coefficient meeting the precision requirement is obtained.
The embodiment of the invention also provides another flow coefficient determination method, which is realized on the basis of the method of the embodiment; the method mainly describes a specific process of determining the flow coefficient based on a final valve flow field simulation model and preset simulation parameters, wherein the simulation parameters comprise a plurality of groups, each group of simulation parameters comprise valve opening data and a valve pressure ratio, and the valve pressure ratio comprises the following steps: a ratio of a post-valve pressure to a pre-valve pressure of the valve; the valve opening data may be represented by an angle value, for example, the valve opening may be 10 °, 20 °, 30 °, and the like, and the valve opening is generally proportional to the mass flow rate, that is, the larger the valve opening, the higher the mass flow rate is; as shown in fig. 2, the method comprises the steps of:
step S202, receiving a simulation instruction sent by a user.
And S204, carrying out simulation processing on a preset valve flow field simulation model based on the simulation instruction and preset simulation parameters to obtain a simulation result.
In practical implementation, the preset valve flow field simulation model is determined through the following steps one to four:
step one, receiving a model building instruction sent by a user.
And step two, constructing a three-dimensional model of the valve according to the model construction instruction.
The model building instruction can be understood as an instruction sent when a user needs to build a three-dimensional model of the valve; in practical implementation, the model building instruction can be received through three-dimensional modeling software, and after the model building instruction is received, a valve three-dimensional model can be built based on the model building instruction, for example, a sleeve valve three-dimensional model and the like can be built; it should be noted that, in general, the valve is used as a component of a pipe network control system, so when a three-dimensional model of the valve is constructed, a three-dimensional pipe network model including the valve is usually constructed, specifically, a user may analyze a physical structure of an actual test pipe network, and construct the three-dimensional pipe network model through three-dimensional modeling software.
And step three, receiving a model import instruction and preset import parameters sent by a user.
And fourthly, inputting the valve three-dimensional model into preset simulation software based on the model import instruction and the preset import parameters to obtain a valve flow field simulation model corresponding to the valve three-dimensional model.
The model import instruction can be understood as an instruction sent when a user needs to import the constructed valve three-dimensional model into preset simulation software; the import parameter can be related parameters such as grid local encryption, grid size setting and the like set by a user; in actual implementation, the valve three-dimensional model can be imported into preset simulation software based on a received model import instruction and preset import parameters so as to perform flow field modeling and draw a grid, so that the valve flow field simulation model is obtained; the preset simulation software can be finite element analysis preprocessing software or flow field simulation software and the like; if the three-dimensional pipe network model is constructed, the constructed three-dimensional pipe network model can be introduced into finite element analysis preprocessing software or flow field simulation software to carry out flow field modeling and draw grids.
And step S206, calculating an error result based on the simulation result and a preset experiment result.
And S208, if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached, and obtaining the final valve flow field simulation model.
The preset conditions include: the error results do not conform to the preset results, or the number of the error results reaches the preset number. In actual implementation, if the error result meets the accuracy requirement, the step of receiving the simulation instruction sent by the user may be repeatedly executed until the error result no longer meets the preset result, or the number of the test points is enough to prove the accuracy range of the model, for example, the accuracy of the model can be considered to meet the requirement after the test is repeated ten times.
Step S210, for each set of simulation parameters, determining a simulation flow corresponding to the set of simulation parameters based on the final valve flow field simulation model and the set of simulation parameters.
After the established valve flow field simulation model meets the precision requirements under different boundary conditions, flow field simulation is respectively carried out under the opening degrees of 10 degrees, 20 degrees, … degrees and 90 degrees and the pressure ratios of 0.1, 0.2, … and 0.9, so that simulation flows under different opening degrees and different pressure ratios, namely output flows are obtained, and a plurality of output flows can be represented in the form of an output flow equidistant two-dimensional interpolation table.
Step S212, determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters.
Referring to fig. 3, a schematic structural view of a sleeve valve is shown, wherein fig. 3(a) is a front view of the sleeve valve, fig. 3(b) is an oblique view of the sleeve valve, and fig. 3(c) is an exploded view of the sleeve valve; the sleeve valve is one of the regulating valves, and the sleeve valve regulates the opening of the valve through the relative displacement between the sleeve and the valve core so as to influence the flow of the regulating valve. It is known from the relevant literature that the flow rate of a sleeve valve can be calculated by:
Figure BDA0003197713310000101
in the formula, QmIs the mass flow rate of the sleeve valve,
Figure BDA0003197713310000102
is the flow coefficient of the sleeve valve, S is the flow cross-sectional area of the regulating valve, T1、P1The pre-valve gas flow temperature and pressure, respectively, R is a known ideal gas constant.
Since T1, P1 were measured during the experiment, S can be calculated from the valve opening, which can also be measured during the experiment. Therefore, after the simulation flow rate corresponding to the simulation parameter is determined, the corresponding flow rate coefficient is determined according to the formula (1).
Step S214, determining a flow coefficient set based on the flow coefficients corresponding to each set of simulation parameters.
Specifically, after obtaining the flow coefficient corresponding to each set of simulation parameters, a flow coefficient set may be obtained, and the flow coefficient set may be represented in the form of a two-dimensional flow coefficient interpolation table.
Step S216, carrying out interpolation processing on the flow coefficient set to obtain a processed flow coefficient set.
In practical implementation, if the flow coefficient set is represented in the form of a flow coefficient two-dimensional interpolation table, extrapolation can be performed on the two-dimensional interpolation table to fill in boundary parameters; for example, when the valve pressure ratio is increased to 0 and 1, respectively, the flow coefficients corresponding to the different valve openings are increased.
Step S218, the processed flow coefficient set and the preset input parameter are input to a preset simulation verification model, and an output result is obtained.
After the flow coefficient set after the interpolation processing is obtained, the processed flow coefficient set can be substituted into software Matlab/Simulink, a mechanism model of a test is constructed by the flow coefficient set and other corresponding modules, input in an actual test is used as a simulation input signal for simulation, a simulation flow output curve is obtained, namely the output result, the obtained output result and the actual test flow output curve can be compared and analyzed, a relative error range is determined, and a conclusion is obtained.
According to the flow coefficient determination method, for each set of simulation parameters, the simulation flow corresponding to the set of simulation parameters is determined based on the final valve flow field simulation model and the set of simulation parameters. And determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters. And determining a flow coefficient set based on the flow coefficient corresponding to each group of simulation parameters. And carrying out interpolation processing on the flow coefficient set to obtain a processed flow coefficient set. And inputting the processed flow coefficient set and preset input parameters into a preset simulation verification model to obtain an output result. The method can determine the flow coefficient based on the final valve flow field simulation model and multiple groups of simulation parameters, and the final valve flow field simulation model meeting the precision requirement can be obtained only by a limited amount of experimental data, so that the requirement on the amount of the experimental data can be reduced, and the acquisition efficiency of the flow coefficient is improved while the flow coefficient meeting the precision requirement is obtained.
To further understand the above embodiments, only the knowledge of the above formula (1) is needed
Figure BDA0003197713310000111
The flow through the valve is obtained. Based on the study of the flow coefficient of the valve,
Figure BDA0003197713310000112
mainly depending on the pressure ratio before and after the valve and the valve opening, the flow coefficient can be described as
Figure BDA0003197713310000113
In the formula (2), Pr=P2/P1Indicating the pressure ratio, P, before and after the valve2Indicating the pressure behind the valve, VPIndicating the opening of the sleeve valve.
Therefore, to obtain the valve flow coefficient at any pressure ratio and any valve opening, only f needs to be obtained1I.e. by f1Can be given as PrAnd VPThe two easy-to-measure values are used for solving the flow coefficient of the valve
Figure BDA0003197713310000114
And the flow through the valve is calculated.
Since the flow characteristics of the sleeve valve cannot be accurately described by mathematical analytic expressions, i.e., f in the above equation (2)1The analytic form cannot be obtained only through mathematical modeling, so that the flow characteristic of the sleeve valve commonly used in the engineering at present is approximated through a numerical fitting method to obtain an approximate solution of the flow characteristic, and the flow characteristic can be used for the design and simulation of a pipe network control system by substituting the flow characteristic into mechanism modeling software. The embodiment adopts a flow characteristic obtaining method of the sleeve valve based on the combination of limited experimental data and flow field simulation analysis. Referring to a flow chart of a flow characteristic obtaining method shown in fig. 4, detailed specific steps are as follows:
and step.1, after the sleeve valve model is selected, establishing a three-dimensional model, specifically, analyzing the physical structure of the actual test pipe network, and establishing the three-dimensional pipe network model through three-dimensional modeling software.
And step.2, configuring a flow field simulation model, specifically, guiding the established three-dimensional pipe network model into finite element analysis preprocessing software to perform flow field modeling and drawing a grid, so as to obtain a simulation model (corresponding to the valve flow field simulation model).
And step.3, setting preset parameters (corresponding to the preset simulation parameters) such as boundary conditions, iteration times, convergence indexes and the like for the simulation model according to various parameters of the actual test.
And step.4, performing a flow field simulation experiment, namely performing flow field simulation on the simulation model set in step.3 to obtain output flow (corresponding to the simulation result).
Step.5, comparing the error precision, specifically, comparing the output flow rate obtained in step.4 with the actual experimental flow rate under the same condition to obtain the relative error between the two (corresponding to the error result).
Step.6, judging whether the precision meets the requirement, specifically, judging whether the relative error obtained in step.5 meets the precision requirement, if not, analyzing the reason and modifying the simulation model, namely, performing model correction; reasons for the accuracy not meeting the requirements are possibly related to construction details of the three-dimensional model and also related to grid division of the simulation model, and specific reasons need to be specifically analyzed; and if the accuracy requirement is met, repeating the steps from step.2 to step.5 until the accuracy does not meet the requirement any more or the number of the test points is enough to prove the accuracy range of the model. It should be noted that if only the valve pressure ratio is changed and the valve opening is kept unchanged, the grid generation may not be reset, and if the valve opening is changed, the grid generation is needed because the shape of the flow field is changed due to the change of the valve opening. Valve pressure ratio changes typically require changing the boundary condition settings in this step, that is, step.2 and step.3 typically change with each iteration if both the valve pressure ratio and the valve opening change.
Step.7, carrying out a flow field simulation test according to the opening of the equidistant valve and the pressure ratio of the valve; specifically, after determining that the established simulation model meets the precision requirement under different boundary conditions, respectively performing flow field simulation under the opening degrees of 10 degrees, 20 degrees, … degrees and 90 degrees and the pressure ratios of 0.1, 0.2, … and 0.9 to obtain an equidistant two-dimensional interpolation table about output flow under different opening degrees and different pressure ratios;
and step.8, obtaining a valve flow coefficient under the equidistant valve pressure and the valve opening by calculation, specifically, calculating the output flow equidistant two-dimensional interpolation table obtained in step.7 by a formula (1) to obtain a flow coefficient two-dimensional interpolation table of the target sleeve valve.
Step.9, obtaining the complete flow characteristic of the sleeve valve through an extrapolation algorithm, specifically, extrapolating a two-dimensional interpolation table of the flow coefficient obtained in step.8 to fill up boundary parameters, substituting the extrapolated interpolation table into software Matlab/Simulink, and specifically substituting the extrapolated interpolation table into a look up table module in the Simulink, wherein the model can output corresponding flow after inputting a valve pressure ratio and an opening degree. The mechanism model of the test is constructed with other corresponding modules, for example, the mechanism model of the test can be constructed with a signal input module, a signal output module or a data processing module, and the like, and a required module, such as a data preprocessing module and the like, can be added according to actual requirements; the mechanism model can be understood as a whole simulation verification platform model for verifying and comparing the error between the valve flow calculated by the valve flow characteristic obtained by the method and the actual test flow. And taking the input in the actual test as a simulation input signal for simulation to obtain a simulation flow output curve. Note that for effective verification, the actual flow data used in this step is to be distinguished from the actual flow data previously tested.
The simulated flow rate value obtained in Step4 is obtained by flow simulation software (flow simulation) and is the result of CFD calculation, and the simulated flow rate curve obtained in Step9 is output and calculated by a look up table module in simulink. The former is used to obtain the flow characteristic table of the regulating valve, and the latter is used to verify the flow characteristic table of the regulating valve.
The flow of the regulating valve under different pressure ratios and opening degrees is obtained through calculation of flow field simulation software, a flow characteristic table of the regulating valve is calculated according to the flow, and in order to verify the accuracy of the flow characteristic table, the flow characteristic table is led into a look up table module in simulink and forms a verification comparison platform with other auxiliary modules. And then taking the pressure ratio and the opening degree of the actual test as input, outputting corresponding flow characteristics through a look up table module, and further calculating the valve output flow, wherein the valve output flow is the simulated flow output curve in Step 9.
And step.10, comparing and analyzing the simulated flow output curve obtained in step.9 with the actual test flow output curve, determining a relative error range and obtaining a conclusion.
The above approach provides a general method of obtaining sleeve valve flow characteristics with limited experimental data. The method combines the advantages of data processing and flow field simulation, reduces the dependence on the number of test data on the premise of ensuring the precision, and improves the acquisition efficiency of flow characteristics.
The above method is further illustrated by a practical example. Firstly, referring to a schematic diagram of a sleeve valve three-dimensional flow field simulation model shown in fig. 5, according to an actual working environment of a sleeve valve of the type, the sleeve valve three-dimensional flow field simulation model is established in solid works software.
As shown in fig. 5, the two-way air mixing test is performed in this embodiment, in which the air flow in the first pipeline is controlled by the sleeve valve, the air flow in the second pipeline is known, and the air flows in the first pipeline and the second pipeline are mixed in the mixer and then enter the third pipeline. Therefore, the gas flow in the pipeline three is the output gas flow, and the output gas flow in the pipeline three can be indirectly controlled by controlling the front-back pressure ratio and the valve opening of the sleeve valve in the pipeline one.
The flow comparison verification process at this test point is briefly described below by taking a certain sleeve valve flow test as an example.
Step.1, selecting once verified data as shown in Table 1
Table 1 verification data
Figure BDA0003197713310000141
And step 2, calculating the valve core displacement of the sleeve valve according to the formula (1) and the valve opening data, and performing corresponding configuration in the three-dimensional model. The calculation process can be converted manually or automatically calculated by a program, and the calculation process is the mapping of the opening and the area of the flow hole. Wherein, the full closed corresponding opening degree of the circulation hole is 0, and the full open corresponding opening degree of the circulation hole is 90.
And step 3, performing flow field related setting in flow field simulation software, including boundary condition setting, target setting and local initial grid setting.
And step.4, carrying out simulation calculation to obtain the simulation flow of the flow tube, namely the simulation flow of the sleeve valve output side of the first pipeline. Since the line flow is known, the output of line one can be obtained by subtracting the input of line two from the output of line three.
The flow rate passing through the flow tube obtained by the flow field simulation calculation is 48.87kg/s, and the relative error with the actually measured flow rate is
Figure BDA0003197713310000151
Therefore, the flow comparison verification of one test point is completed, and in order to further verify the credibility of the sleeve valve three-dimensional flow field simulation model, 10 groups of points meeting the verification conditions are selected from a plurality of actual tests to perform flow field simulation verification. Flow field simulation was performed according to the steps described above, and the error ratio of the simulated output flow to the actual test output flow is shown in table 2.
TABLE 2 simulation model verification results for sleeve valves
Figure BDA0003197713310000152
As can be seen from the error data in table 2, the relative error between the simulated flow output and the actual output does not exceed 6%, and the accuracy is acceptable for a pipe network control system, so the three-dimensional flow field model can be used for obtaining the flow characteristics of the sleeve valve, and it should be noted that an actually acceptable relative error threshold value can be determined according to actual requirements, for example, the relative error threshold value may be 8%.
Next, based on a flow field simulation model of the sleeve valve, the flow field simulation conditions are set by sequentially setting the sleeve valve opening degrees by 10 °, 20 °, 30 °, 40 °, 50 °, 60 °, 70 °, 80 ° and 90 °, and the sleeve valve pressure ratios by 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9 in sequence, so as to perform simulation, and the flow field simulation result and the corresponding flow coefficient inversely calculated by the formula (1) based on the simulation result are shown in table 3 (only the results of the opening degrees of 10 ° and 90 °). An interpolation table of flow characteristics obtained through flow field simulation about sleeve valve pressure ratios and opening degrees is shown in table 4, data in table 4 are flow coefficients corresponding to different Vp and Pr, and the flow coefficients can be used for calculating output flow, so that the corresponding output flow can be directly calculated through input pressure ratios and opening degrees. The complete sleeve valve flow coefficient interpolation table obtained by numerical calculation is shown in table 5, where the last row in table 5 is all 0, since there is no gas flow at a pressure ratio of 1, and is forced to be 0, and other incremental data are obtained by linear extrapolation. The data at the extreme edges is generally not used in the actual simulation, so the accuracy requirement can be relatively low.
TABLE 3 simulation verification results of sleeve valve flow
Figure BDA0003197713310000161
TABLE 4 flow characteristic interpolation table for sleeve valve
Figure BDA0003197713310000162
Figure BDA0003197713310000171
TABLE 5 complete flow characteristic interpolation table for sleeve valve
Figure BDA0003197713310000172
Referring to a schematic diagram of the change of the flow coefficient along with the pressure ratio and the opening shown in fig. 6, an interpolation curved surface is generated by matlab software, and fig. 6 can show the change of the flow coefficient along with the pressure ratio and the opening of the sleeve valve visually, so that a complete sleeve valve flow characteristic interpolation table is obtained and can be directly used for simulation of Simulink software.
Data of two actual tests are selected for technical effect verification of the method, the actual test output is compared with the simulation test output by building a simulation platform, and a flow output comparison analysis graph and a flow relative error analysis graph are obtained, specifically, refer to a first flow test output comparison schematic diagram shown in fig. 7, a first flow test relative error analysis graph shown in fig. 8, a second flow test output comparison schematic diagram shown in fig. 9, and a second flow test relative error analysis graph shown in fig. 10.
As can be seen from fig. 7 and 9, the simulated flow output curve approximately matches the output curve of the actual test flow, there is only a small deviation at the sudden flow change, and the steady state error is substantially negligible. Fig. 8 and fig. 10 show the relative error between the simulated flow and the actual test flow in the two tests, respectively, and it can be seen from the graphs that the total flow relative error in the first verification test is below 6%, and the local maximum value is not more than 8%, so as to meet the requirements of engineering application.
The mode provides a method for acquiring the flow coefficient of the sleeve valve with higher precision under the condition of limited test data; the dependence on the number of test data is reduced on the premise of ensuring the precision; after more test data are obtained subsequently, the model precision can be further improved based on more test data, so that the method has the characteristic of continuously strengthening along with the improvement of the data integrity.
An embodiment of the present invention provides a flow coefficient determining apparatus, as shown in fig. 11, the apparatus includes: a receiving module 110, configured to receive a simulation instruction sent by a user; the simulation module 111 is configured to perform simulation processing on a preset valve flow field simulation model based on a simulation instruction and a preset simulation parameter to obtain a simulation result; a calculating module 112, configured to calculate an error result based on the simulation result and a preset experiment result; the first determining module 113 is configured to continue to execute the step of receiving the simulation instruction sent by the user if the error result meets the preset result until a preset condition is reached, so as to obtain a final valve flow field simulation model; and a second determining module 114, configured to determine the flow coefficient based on the final valve flow field simulation model and preset simulation parameters.
After receiving a simulation instruction sent by a user, the flow coefficient determination device can perform simulation processing on a preset valve flow field simulation model based on the simulation instruction and preset simulation parameters, and calculate an error result based on an obtained simulation result and a preset experiment result; and if the error result accords with the preset result, continuing to execute the step of receiving the simulation instruction sent by the user until the preset condition is reached to obtain a final valve flow field simulation model, and determining the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters. The method can determine the flow coefficient based on the final valve flow field simulation model and the preset simulation parameters, and the final valve flow field simulation model meeting the precision requirement can be obtained only by a limited amount of experimental data, so that the requirement on the amount of the experimental data can be reduced, and the acquisition efficiency of the flow coefficient is improved while the flow coefficient meeting the precision requirement is obtained.
Further, the system further comprises a valve flow field simulation model determining module, wherein the valve flow field simulation model determining module is used for: receiving a model building instruction sent by a user; constructing a three-dimensional model of the valve according to the model construction instruction; receiving a model import instruction and preset import parameters sent by a user; and inputting the valve three-dimensional model into preset simulation software based on the model import instruction and the preset import parameters to obtain a valve flow field simulation model corresponding to the valve three-dimensional model.
Further, the preset conditions include: the error results do not conform to the preset results, or the number of the error results reaches the preset number.
Further, the simulation parameters include a plurality of sets, each set of simulation parameters includes a valve opening data and a valve pressure ratio, wherein the valve pressure ratio includes: a ratio of a post-valve pressure to a pre-valve pressure of the valve; the second determination module is further to: for each set of simulation parameters, determining simulation flow corresponding to the set of simulation parameters based on the final valve flow field simulation model and the set of simulation parameters; determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters; and determining a flow coefficient set based on the flow coefficient corresponding to each group of simulation parameters.
Further, the second determining module is further configured to: carrying out interpolation processing on the flow coefficient set to obtain a processed flow coefficient set; and inputting the processed flow coefficient set and preset input parameters into a preset simulation verification model to obtain an output result.
The flow coefficient determination device provided in the embodiment of the present invention has the same implementation principle and technical effect as those of the embodiment of the flow coefficient determination method, and for briefly describing the parts that are not mentioned in the embodiment of the flow coefficient determination device, reference may be made to the corresponding contents in the embodiment of the flow coefficient determination method.
An embodiment of the present invention further provides an electronic device, as shown in fig. 12, where the electronic device includes a processor 130 and a memory 131, the memory 131 stores machine executable instructions that can be executed by the processor 130, and the processor 130 executes the machine executable instructions to implement the flow coefficient determining method.
Further, the electronic device shown in fig. 12 further includes a bus 132 and a communication interface 133, and the processor 130, the communication interface 133, and the memory 131 are connected by the bus 132.
The Memory 131 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 133 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used. The bus 132 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 12, but that does not indicate only one bus or one type of bus.
The processor 130 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 130. The Processor 130 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 131, and the processor 130 reads the information in the memory 131 and completes the steps of the method of the foregoing embodiment in combination with the hardware thereof.
The embodiment of the present invention further provides a machine-readable storage medium, where the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the method for determining a flow coefficient.
The method, the apparatus, and the computer program product of the electronic device for determining the flow coefficient provided in the embodiments of the present invention include a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for determining a flow coefficient, the method comprising:
receiving a simulation instruction sent by a user;
performing simulation processing on a preset valve flow field simulation model based on the simulation instruction and preset simulation parameters to obtain a simulation result;
calculating an error result based on the simulation result and a preset experiment result;
if the error result accords with a preset result, continuing to execute the step of receiving a simulation instruction sent by a user until a preset condition is reached, and obtaining a final valve flow field simulation model;
and determining the flow coefficient based on the final valve flow field simulation model and preset simulation parameters.
2. The method of claim 1, wherein the predetermined valve flow field simulation model is determined by:
receiving a model building instruction sent by a user;
constructing a three-dimensional model of the valve according to the model construction instruction;
receiving a model import instruction and preset import parameters sent by a user;
and inputting the valve three-dimensional model into preset simulation software based on the model import instruction and preset import parameters to obtain a valve flow field simulation model corresponding to the valve three-dimensional model.
3. The method according to claim 1, wherein the preset condition comprises: the error results do not conform to the preset results, or the number of the error results reaches a preset number.
4. The method of claim 1, wherein said simulated simulation parameters comprise a plurality of sets, each set of said simulated simulation parameters comprising a valve opening data and a valve pressure ratio, wherein said valve pressure ratio comprises: a ratio of a post-valve pressure to a pre-valve pressure of the valve;
the step of determining the flow coefficient based on the final valve flow field simulation model and preset simulation parameters comprises:
for each set of simulation parameters, determining simulation flow corresponding to the set of simulation parameters based on the final valve flow field simulation model and the set of simulation parameters;
determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters;
and determining a flow coefficient set based on the flow coefficient corresponding to each group of simulation parameters.
5. The method of claim 4, further comprising:
carrying out interpolation processing on the flow coefficient set to obtain a processed flow coefficient set;
and inputting the processed flow coefficient set and preset input parameters into a preset simulation verification model to obtain an output result.
6. A flow coefficient determination apparatus, characterized in that the apparatus comprises:
the receiving module is used for receiving a simulation instruction sent by a user;
the simulation module is used for carrying out simulation processing on a preset valve flow field simulation model based on the simulation instruction and preset simulation parameters to obtain a simulation result;
the calculation module is used for calculating an error result based on the simulation result and a preset experiment result;
the first determining module is used for continuing to execute the step of receiving the simulation instruction sent by the user if the error result accords with a preset result until a preset condition is reached to obtain a final valve flow field simulation model;
and the second determining module is used for determining the flow coefficient based on the final valve flow field simulation model and preset simulation parameters.
7. The apparatus of claim 6, further comprising: a valve flow field simulation model determining module;
the valve flow field simulation model determining module is used for: receiving a model building instruction sent by a user;
constructing a three-dimensional model of the valve according to the model construction instruction;
receiving a model import instruction and preset import parameters sent by a user;
and inputting the valve three-dimensional model into preset simulation software based on the model import instruction and preset import parameters to obtain a valve flow field simulation model corresponding to the valve three-dimensional model.
8. The apparatus of claim 6, wherein the preset condition comprises: the error results do not conform to the preset results, or the number of the error results reaches a preset number.
9. The apparatus of claim 6, wherein said simulated simulation parameters comprise a plurality of sets, each set of said simulated simulation parameters comprising a valve opening data and a valve pressure ratio, wherein said valve pressure ratio comprises: a ratio of a post-valve pressure to a pre-valve pressure of the valve;
the second determination module is further to:
for each set of simulation parameters, determining simulation flow corresponding to the set of simulation parameters based on the final valve flow field simulation model and the set of simulation parameters;
determining a flow coefficient corresponding to the set of simulation parameters based on the simulation flow corresponding to the set of simulation parameters;
and determining a flow coefficient set based on the flow coefficient corresponding to each group of simulation parameters.
10. An electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor, the processor executing the machine executable instructions to implement the flow coefficient determination method of any one of claims 1-5.
CN202110895654.5A 2021-08-05 2021-08-05 Flow coefficient determination method and device and electronic equipment Active CN113627100B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110895654.5A CN113627100B (en) 2021-08-05 2021-08-05 Flow coefficient determination method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110895654.5A CN113627100B (en) 2021-08-05 2021-08-05 Flow coefficient determination method and device and electronic equipment

Publications (2)

Publication Number Publication Date
CN113627100A true CN113627100A (en) 2021-11-09
CN113627100B CN113627100B (en) 2024-05-17

Family

ID=78382843

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110895654.5A Active CN113627100B (en) 2021-08-05 2021-08-05 Flow coefficient determination method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN113627100B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117494481A (en) * 2024-01-02 2024-02-02 昆明理工大学 Channel loose rock body dam blocking dam burst simulation method and system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105677964A (en) * 2016-01-07 2016-06-15 江苏神通阀门股份有限公司 CFD simulation and grid self-adaption based valve flow coefficient calculating method
WO2019132035A1 (en) * 2017-12-28 2019-07-04 Yokogawa Electric Corporation Apparatus, simulation system, method and program
CN111767663A (en) * 2020-05-29 2020-10-13 江苏神通阀门股份有限公司 CFD simulation-based valve flow coefficient convenient calculation method
CN111881524A (en) * 2020-06-16 2020-11-03 合肥通用机械研究院有限公司 Valve flow characteristic simulation experiment method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105677964A (en) * 2016-01-07 2016-06-15 江苏神通阀门股份有限公司 CFD simulation and grid self-adaption based valve flow coefficient calculating method
WO2019132035A1 (en) * 2017-12-28 2019-07-04 Yokogawa Electric Corporation Apparatus, simulation system, method and program
CN111767663A (en) * 2020-05-29 2020-10-13 江苏神通阀门股份有限公司 CFD simulation-based valve flow coefficient convenient calculation method
CN111881524A (en) * 2020-06-16 2020-11-03 合肥通用机械研究院有限公司 Valve flow characteristic simulation experiment method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周晓明;汪志琨;张逸芳;: "基于CFD和网格自适应的流量系数计算方法", 电子科技大学学报, no. 02 *
姜震;王曦;朱美印等: "变负载流量调节阀电液伺服作动系统研究", 燃气涡轮试验与研究, vol. 32, no. 5 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117494481A (en) * 2024-01-02 2024-02-02 昆明理工大学 Channel loose rock body dam blocking dam burst simulation method and system
CN117494481B (en) * 2024-01-02 2024-03-19 昆明理工大学 Channel loose rock body dam blocking dam burst simulation method and system

Also Published As

Publication number Publication date
CN113627100B (en) 2024-05-17

Similar Documents

Publication Publication Date Title
Navarro et al. Reliability and expectation bounds for coherent systems with exchangeable components
WO2020034630A1 (en) Neural network-based cell delay prediction method and cell delay sensitivity calculation method
CN103488862B (en) Method for simulating high viscosity fluid
CN113627100A (en) Flow coefficient determination method and device and electronic equipment
CN112836435A (en) Coarse grid numerical simulation result correction method and device and electronic equipment
CN107729621A (en) A kind of verification tool of statical model
CN109858158A (en) A kind of method for parameter configuration and system of computational fluid dynamics simulation
CN115173403A (en) Distributed voltage control method and device for active power distribution network and terminal equipment
Yu et al. Deep-learning based numerical BSDE method for barrier options
Abbas et al. Consistency thresholds for hierarchical decision model
JP5020338B2 (en) Initial value generating apparatus and initial value generating method
CN102630426A (en) Structure optimization method for Venturi fertilizer injector
Potsis et al. Wind induced peak pressures on low-rise building roofs via dynamic terrain computational methodology
CN109711815A (en) Based on codes and standards to list count sum number it is judged that method and computer equipment
CN109583560B (en) Construction method and device of fertilizer discharge amount prediction model of double-variable fertilizer application device
CN115577597A (en) Simulation method, device, medium and equipment for solute hyperdiffusion in fracture channel
CN107436957A (en) A kind of chaos polynomial construction method
CN115809599A (en) Dam body permeability coefficient inversion method and device, electronic equipment and storage medium
CN109063837A (en) Genetic algorithm information flow network property analysis method based on complex network structures entropy
Branisavljević et al. Uncertainty reduction in water distribution network modelling using system inflow data
CN117829036B (en) Method for determining flow of downstream branch channel of T-type bifurcate open channel through CFD
Matiko et al. Computer-aided system for designing the thermal energy metering devices
Lieb Modeling and optimization of transients in water distribution networks with intermittent supply
Wan Advances in newton-based barrier methods for nonlinear programming
Vold Three-dimensional numerical modeling of water flow in a rock-blasted tunnel

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant