Butterfly valve structure optimization design method and system based on three-dimensional simulation model

Abstract

The present invention discloses a butterfly valve structure optimization design method and system based on a three-dimensional simulation model, which belongs to the field of butterfly valve production technology and includes a three-dimensional model establishment module for establishing a three-dimensional simulation model of a butterfly valve; a simulation execution module for simulating the three-dimensional simulation model; a parameter acquisition module for acquiring relevant associated parameter information generated during the simulation process; an analysis module for analyzing and processing the relevant associated parameter information to generate a judgment coefficient to determine whether the three-dimensional simulation model under the current set parameters is qualified; and an optimization module for optimizing the parameters under the three-dimensional simulation model that is judged to be qualified. The present invention further subdivides the set parameters when it is judged that the set parameters are reasonable, and determines the optimal butterfly valve design parameters based on the judgment coefficients under different working environments, thereby optimizing the butterfly valve, which can greatly improve the accuracy of the butterfly valve to meet the increasingly stringent requirements of modern industry for butterfly valves.

Description

Technical Field

[0001] The present invention belongs to the technical field of butterfly valve production, and in particular relates to a butterfly valve structure optimization design method and system based on a three-dimensional simulation model. Background Art

[0002] Butterfly valves, as a common flow control device, are widely used in numerous industrial sectors, including petroleum, chemical, electric power, metallurgy, water supply and drainage, as well as in urban infrastructure construction. With the increasing sophistication of industrial production processes, the demand for precise control of fluid flow continues to increase. The flow regulation accuracy of traditional butterfly valves is no longer able to meet this high-precision control requirement. Optimized design is needed to improve the flow regulation accuracy of butterfly valves at different openings and achieve precise control of fluid flow.

[0003] Traditionally, when optimizing butterfly valves, samples are generally manufactured for testing, thereby continuously improving the butterfly valves. This method is costly and has a long testing cycle. In addition, due to the complexity and diversity of the actual working environment when butterfly valves are actually used, physical prototype tests are difficult to fully cover all possible working environments, and there are testing blind spots. This makes the experiments on butterfly valves not comprehensive, resulting in incomplete optimization of butterfly valves. Summary of the Invention

[0004] The purpose of the present invention is to provide a butterfly valve structure optimization design method and system based on a three-dimensional simulation model to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A butterfly valve structure optimization design system based on a three-dimensional simulation model, the system comprising:

[0007] A three-dimensional model building module, which is used to build a three-dimensional simulation model of the butterfly valve and set corresponding parameters of the butterfly valve;

[0008] A simulation execution module, wherein the simulation execution module is used to simulate different environments, thereby simulating the established three-dimensional simulation model of the butterfly valve;

[0009] A parameter acquisition module is used to obtain relevant parameter information generated during the simulation process and transmit it to the analysis module;

[0010] An analysis module, wherein the analysis module generates a judgment coefficient based on the obtained relevant associated parameter information and judges whether the three-dimensional simulation model under the current set parameters is qualified based on the judgment coefficient;

[0011] The optimization module is used to optimize the parameters of the qualified three-dimensional simulation model.

[0012] Furthermore, the relevant associated parameter information includes pressure information, resistance information and water flow rate information of corresponding detection points of the butterfly valve.

[0013] Furthermore, the working method of the analysis module is:

[0014] In the detection period ΔT, the first deviation coefficient R of the butterfly valve is calculated according to the different simulated valve openings. K ;

[0015] During the detection period Δt, the valve opening of the butterfly valve is gradually increased from zero, so as to calculate the second deviation coefficient R of the butterfly valve. D ;

[0016] By formula Determine the judgment coefficient;

[0017] When τ<1, the three-dimensional simulation model under the current set parameters is judged to be qualified;

[0018] Among them, α1 and α2 are proportional coefficients, R th The risk judgment threshold is set.

[0019] Furthermore, the first deviation coefficient R K The acquisition method is:

[0020] According to the different simulated valve openings, set n valve openings, formulate a detection period ΔT, and obtain the pressure K at the corresponding detection point of the butterfly valve under each valve opening within the detection period ΔT. F , flow rate K V And the resistance K N , and respectively formulate the pressure-time curve function K F (t), velocity versus time curve function K V (t) and the resistance time-varying curve function K N (t);

[0021] By formula Obtain the deviation value K at each valve opening;

[0022] By formula The first deviation coefficient R K ;

[0023] Wherein, T1 is the start time of the detection period ΔT, and T2 is the end time of the detection period ΔT. It is the curve function of the preset standard pressure changing with time under the corresponding valve opening. K is the curve function of the preset standard flow rate changing with time under the corresponding valve opening,N (t) is the preset standard resistance changing with time curve function under the corresponding valve opening, ΔK F , ΔK V and ΔK N are pressure reference value, flow rate reference value and resistance reference value respectively, K i is the deviation value under the i-th valve opening, and i∈[1,n], ρ i is the weight coefficient of the deviation value under the i-th valve opening.

[0024] Furthermore, the second deviation coefficient R D The acquisition method is:

[0025] Another detection period Δt is proposed. During the detection period Δt, the valve opening of the butterfly valve is gradually increased from zero, so as to obtain the pressure change curve function D at the corresponding detection point of the butterfly valve with the opening F (x), velocity versus opening curve function D V (x) and the resistance curve function D N (x);

[0026] By formula The second deviation coefficient R D ;

[0027] in, is the curve function of the standard pressure at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard flow rate at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard resistance at the corresponding detection point of the butterfly valve changing with the opening, x1 is the maximum opening of the butterfly valve, ΔD F is the pressure comparison value, ΔD V is the flow rate comparison value, ΔD N is the resistance comparison value.

[0028] Furthermore, the optimization module works as follows:

[0029] When the three-dimensional simulation model under the current set parameters is judged to be qualified, the set parameters are further divided into P groups of subdivided parameters;

[0030] Obtain the judgment coefficient τ of the three-dimensional simulation model obtained under each group of segmentation parameters in different environments, so as to obtain the matching score B of each group of segmentation parameters. w ;

[0031] Each group of subdivision parameters is sorted from large to small according to the size of the matching score, the largest group of subdivision parameters is selected as the matching parameters, and the parameters of the butterfly valve are optimized according to the matching parameters.

[0032] Furthermore, the matching score B w The acquisition method is:

[0033] By formula Obtain the matching score B of the wth group of segmentation parameters w ;

[0034] in, m is the total number of simulated environment types, is the judgment coefficient of the jth environment type under the wth group of subdivision parameters, and w∈[1, P], j∈[1, m], S is the number of environment types whose judgment coefficients exceed the average value among the m environment types, is the maximum judgment coefficient under the wth group of subdivision parameters.

[0035] A butterfly valve structure optimization design method based on a three-dimensional simulation model is implemented by controlling the butterfly valve structure optimization design system based on a three-dimensional simulation model.

[0036] Beneficial effects of the present invention:

[0037] The present invention uses three-dimensional simulation technology instead of traditional physical prototype experiments to optimize the butterfly valve. In this way, multiple design schemes can be evaluated and compared quickly and at low cost during the design phase, and the optimal scheme can be screened out, which greatly shortens the design cycle, reduces R&D costs, and improves the performance of the butterfly valve. At the same time, the pressure information, resistance information, water flow rate and other information generated during the simulation can be analyzed to determine whether the currently set parameters are reasonable, thereby quickly narrowing the parameter range and improving the parameter accuracy range of the butterfly valve.

[0038] The present invention can also further subdivide the set parameters through the optimization module when it is judged that the set parameters are reasonable, and determine the optimal butterfly valve design parameters according to the judgment coefficient under different working environments, thereby optimizing the butterfly valve, which can greatly improve the accuracy of the butterfly valve to meet the increasingly stringent requirements of modern industry for butterfly valves.

[0039] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0043] In one embodiment, a butterfly valve structure optimization design system based on a three-dimensional simulation model is disclosed. Figure 1 As shown, the system mainly includes:

[0044] The three-dimensional model building module is used to build a three-dimensional simulation model of the butterfly valve and set the corresponding parameters of the butterfly valve, wherein the parameters can be adjusted;

[0045] The simulation execution module is used to simulate different environments, thereby simulating the established three-dimensional simulation model of the butterfly valve;

[0046] Parameter acquisition module, which is used to obtain relevant parameter information generated during the simulation process and transmit it to the analysis module. The relevant parameter information includes pressure information, resistance information, and water flow rate information of the corresponding detection point of the butterfly valve;

[0047] The analysis module analyzes and processes the acquired relevant parameter information to generate a judgment coefficient, and determines whether the three-dimensional simulation model under the current set parameters is qualified based on the judgment coefficient;

[0048] The optimization module is used to optimize the parameters of the qualified three-dimensional simulation model.

[0049] Through the above technical solution, this application uses three-dimensional simulation technology instead of traditional physical prototype experiments to optimize the butterfly valve, so that multiple design schemes can be evaluated and compared quickly and at low cost in the design stage, and the optimal scheme can be screened out, which greatly shortens the design cycle, reduces R&D costs, and improves the performance of the butterfly valve; this application can use the analysis module to analyze the pressure information, resistance information, water flow rate and other information generated during the simulation to determine whether the currently set parameters are reasonable, thereby quickly narrowing the parameter range and improving the parameter accuracy range of the butterfly valve; in addition, if the set parameters are judged to be reasonable, the optimization module can be used to further subdivide the set parameters, and determine the optimal butterfly valve design parameters based on the judgment coefficient under different working environments, thereby optimizing the butterfly valve, which can greatly improve the accuracy of the butterfly valve to meet the increasingly stringent requirements of modern industry for butterfly valves.

[0050] The working method of the analysis module is: within the detection period ΔT, according to the different simulated valve openings, the first deviation coefficient R of the butterfly valve is calculated. K ;

[0051] During the detection period Δt, the valve opening of the butterfly valve is gradually increased from zero, so as to calculate the second deviation coefficient R of the butterfly valve. D ;

[0052] By formula Determine the judgment coefficient;

[0053] When τ<1, the three-dimensional simulation model under the current set parameters is judged to be qualified;

[0054] Among them, α1 and α2 are proportional coefficients, R th The risk judgment threshold set for the project;

[0055] The first deviation coefficient R K The acquisition method is: according to the different simulated valve openings, set n valve openings, formulate a detection period ΔT, and obtain the pressure K at the corresponding detection point of the butterfly valve under each valve opening within the detection period ΔT. F , flow rate K V And the resistance K N , and respectively formulate the pressure-time curve function K F (t), velocity versus time curve function K V (t) and the resistance time-varying curve function K N (t);

[0056] By formula Obtain the deviation value K at each valve opening;

[0057] By formula The first deviation coefficient R K ;

[0058] Wherein, T1 is the start time of the detection period ΔT, and T2 is the end time of the detection period ΔT. It is the curve function of the preset standard pressure changing with time under the corresponding valve opening. K is the curve function of the preset standard flow rate changing with time under the corresponding valve opening, N (t) is the preset standard resistance changing with time curve function under the corresponding valve opening, ΔK F , ΔK V and ΔK N are pressure reference value, flow rate reference value and resistance reference value respectively, K i is the deviation value under the i-th valve opening, and i∈[1,n], ρ iis the weight coefficient of the deviation value under the i-th valve opening;

[0059] The second deviation coefficient R D The acquisition method is: prepare another detection period Δt, and gradually increase the valve opening of the butterfly valve from zero within the detection period Δt, so as to obtain the pressure change curve function D at the corresponding detection point of the butterfly valve with the opening F (x), velocity versus opening curve function D V (x) and the resistance curve function D N (x);

[0060] By formula The second deviation coefficient R D ;

[0061] in, is the curve function of the standard pressure at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard flow rate at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard resistance at the corresponding detection point of the butterfly valve changing with the opening, x1 is the maximum opening of the butterfly valve, ΔD F is the pressure comparison value, ΔD V is the flow rate comparison value, ΔD N is the resistance comparison value.

[0062] Through the above technical solution, this embodiment mainly provides a specific method for the analysis module to determine whether the set butterfly valve parameters are qualified. First, within the detection period ΔT, according to the different simulated valve openings, the first deviation coefficient R is obtained. K In this method, the valve opening of a single test is fixed within the test period ΔT. Specifically, according to the different simulated valve openings, n valve openings are set, a test period ΔT is formulated, and the pressure K at the corresponding test point of the butterfly valve under each valve opening within the test period ΔT is obtained. F , flow rate K V And the resistance K N , and respectively formulate the pressure-time curve function K F (t), velocity versus time curve function K V (t) and the resistance time-varying curve function K N (t); by formula Obtain the deviation value K under each valve opening, and finally use the formula The first deviation coefficient R K Where, It is the curve function of the preset standard pressure changing with time under the corresponding valve opening. K is the curve function of the preset standard flow rate changing with time under the corresponding valve opening, N (t) is the preset standard resistance changing with time curve function under the corresponding valve opening, ΔK F , ΔK V and ΔK N They are pressure reference value, flow rate reference value and resistance reference value respectively, which can be formulated based on the ideal data obtained after analysis of experimental data and empirical data. It can be seen from the formula that when the difference between the simulated pressure change, resistance change, water flow rate change and the standard pressure change, resistance change, water flow rate change is greater, the proposed parameters are less ideal. Similarly, the deviation value K under different opening valves is analyzed uniformly, which can more accurately determine the simulation state of the butterfly valve under the current parameters. Obviously, when the first deviation coefficient R K The larger the value is, the less qualified the set parameters are. Similarly, within the test period Δt, the valve opening of the butterfly valve is gradually increased from zero to calculate the second deviation coefficient R of the butterfly valve. D In this method, the valve opening changes slowly within the detection period Δt. Specifically, the pressure at the corresponding detection point of the butterfly valve changes with the opening curve function D F (x), velocity versus opening curve function D V (x) and the resistance curve function D N (x); by the formula The second deviation coefficient R D , where is the curve function of the standard pressure at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard flow rate at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard resistance at the corresponding detection point of the butterfly valve changing with the opening, ΔD F is the pressure comparison value, ΔD V is the flow rate comparison value, ΔD N is the resistance comparison value, which can be formulated based on the ideal data obtained after analysis of experimental data and empirical data. It can also be seen from the formula that when the second deviation coefficient R D The larger the value is, the less qualified the set parameters are; therefore, the final formula is The judgment coefficient is obtained, and the two are comprehensively analyzed and then compared with the set risk judgment threshold R thBy comparison, it is clear that when the τ value is less than 1, the 3D simulation model under the current set parameters is qualified. In this way, a comprehensive analysis can be conducted based on the changes in the butterfly valve's pressure, flow rate, resistance, etc. when the valve opening is fixed during a single test, and the changes in the butterfly valve's pressure, flow rate, resistance, etc. when the valve opening is constantly changing. This can more accurately determine the matching degree of the current set parameters to the butterfly valve, thereby quickly narrowing the parameter determination range and improving the parameter accuracy range of the butterfly valve.

[0063] It should be noted that the detection period ΔT, the detection period Δt, and the maximum opening of the butterfly valve x1 can be artificially formulated according to the actual situation; and the weight coefficient ρ of the deviation value under each valve opening i , proportional coefficients α1 and α2 and the risk judgment threshold R th It can be determined based on simulation experience data and historical data.

[0064] The working method of the optimization module is as follows: when the 3D simulation model under the current set parameters is judged to be qualified, the set parameters are further refined into P groups of subdivided parameters;

[0065] Obtain the judgment coefficient τ of the three-dimensional simulation model obtained under each group of segmentation parameters in different environments, so as to obtain the matching score B of each group of segmentation parameters. w ;

[0066] Sort each group of subdivision parameters from large to small according to the size of the matching score, select the largest group of subdivision parameters as the matching parameters, and optimize the parameters of the butterfly valve according to the matching parameters;

[0067] The matching score B w The method of obtaining is: through the formula Obtain the matching score B of the wth group of segmentation parameters w ;

[0068] in, m is the total number of simulated environment types, is the judgment coefficient of the jth environment type under the wth group of subdivision parameters, and w∈[1, P], j∈[1, m], S is the number of environment types whose judgment coefficients exceed the average value among the m environment types, is the maximum judgment coefficient under the wth group of subdivision parameters.

[0069] Through the above technical solution, this embodiment provides a specific method for parameter optimization by the optimization module. First, when the three-dimensional simulation model under the current set parameters is judged to be qualified, the set parameters are further divided into P groups of subdivided parameters. For example, according to the values ​​of the qualified parameters, more refined parameters are formulated for division to obtain multiple groups of subdivided parameters. Then, according to different simulation environments (such as high temperature, low temperature, normal temperature division, etc.), the judgment coefficient τ of the three-dimensional simulation model obtained under each group of subdivided parameters in different environments is obtained, so that the formula Obtain the matching score B of each group of segmentation parameters w , and finally optimize the parameters according to the matching score; As can be seen from the formula, the formula It is expressed as a fluctuation of the judgment coefficient obtained under each group of subdivided parameters. Obviously, the smaller its value is, the better the performance of the butterfly valve under this parameter is. Similarly, S is the number of environmental types whose judgment coefficient exceeds the average value among m environmental types. is the maximum judgment coefficient under the wth group of subdivision parameters. It can be seen that when the value of S is smaller, or The smaller the value of, the better the performance of the butterfly valve under this parameter. Therefore, when the matching score B w The larger the value, the better the working performance of the butterfly valve in the three-dimensional simulation under this set of coefficients. Therefore, the subdivided parameters of each group are sorted from large to small according to the size of the matching score, and the largest group of subdivided parameters is selected as the matching parameters. Then, the parameters of the butterfly valve are optimized according to the matching parameters. In this way, when the set parameters are judged to be reasonable, the reasonable parameters can be further subdivided, and the optimal and precise butterfly valve design parameters can be determined based on the judgment coefficients under different working environments. Thus, the butterfly valve can be optimized, which can greatly improve the accuracy of the butterfly valve to meet the increasingly stringent requirements of modern industry for butterfly valves.

[0070] A butterfly valve structure optimization design method based on a three-dimensional simulation model is provided. The optimization design method is controlled and implemented by the above-mentioned butterfly valve structure optimization design system based on a three-dimensional simulation model.

[0071] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. The butterfly valve structure optimization design system based on three-dimensional simulation model is characterized by: The system comprises: A three-dimensional model building module, which is used to build a three-dimensional simulation model of the butterfly valve and set corresponding parameters of the butterfly valve; A simulation execution module, wherein the simulation execution module is used to simulate different environments, thereby simulating the established three-dimensional simulation model of the butterfly valve; A parameter acquisition module is used to acquire relevant parameter information generated during the simulation process and transmit it to the analysis module. The relevant parameter information includes pressure information, resistance information, and water flow rate information of corresponding detection points of the butterfly valve; An analysis module, wherein the analysis module generates a judgment coefficient based on the obtained relevant associated parameter information and judges whether the three-dimensional simulation model under the current set parameters is qualified based on the judgment coefficient; An optimization module, wherein the optimization module is used to optimize parameters of the qualified three-dimensional simulation model; The working method of the analysis module is: in the detection cycle According to the different simulated valve openings, the first deviation coefficient of the butterfly valve is calculated. ; During the detection cycle The second deviation coefficient of the butterfly valve is calculated by gradually increasing the valve opening of the butterfly valve from zero. ; By formula Determine the judgment coefficient; when When , the three-dimensional simulation model under the current set parameters is judged to be qualified; in, as well as is the proportionality coefficient, The risk judgment threshold is set.

2. The butterfly valve structure optimization design system based on a three-dimensional simulation model according to claim 1 is characterized in that: The first deviation coefficient The acquisition method is: According to the different simulated valve openings, set n valve openings and formulate a detection cycle , get the detection cycle The pressure at the corresponding detection point of the butterfly valve under each valve opening , flow rate and the size of the resistance , and respectively formulate the pressure-time curve function , velocity versus time curve function And the resistance curve function over time ; By formula Obtain the deviation value at each valve opening ; By formula The first deviation coefficient ; in, For the detection cycle The start time, For the detection cycle The end time, It is the curve function of the preset standard pressure changing with time under the corresponding valve opening. It is the preset standard flow rate changing with time curve function under the corresponding valve opening. It is the curve function of the preset standard resistance changing with time under the corresponding valve opening. 、 as well as They are pressure reference value, flow rate reference value and resistance reference value respectively. is the deviation value under the i-th valve opening, and , is the weight coefficient of the deviation value under the i-th valve opening.

3. The butterfly valve structure optimization design system based on a three-dimensional simulation model according to claim 2 is characterized in that: The second deviation coefficient The acquisition method is: Plan another testing cycle , in the detection cycle The valve opening of the butterfly valve is gradually increased from zero to obtain the curve function of the pressure change with the opening at the corresponding detection point of the butterfly valve. , Flow velocity changes with opening curve function And the resistance changes with the opening curve function ; By formula The second deviation coefficient ; in, is the curve function of the standard pressure at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard flow rate at the corresponding detection point of the butterfly valve changing with the opening degree, is the curve function of the standard resistance at the corresponding detection point of the butterfly valve changing with the opening degree, is the maximum opening of the butterfly valve, is the pressure comparison value, is the flow rate comparison value, is the resistance comparison value.

4. The butterfly valve structure optimization design system based on a three-dimensional simulation model according to claim 3 is characterized in that: The working method of the optimization module is: When the three-dimensional simulation model under the current set parameters is judged to be qualified, the set parameters are further divided into P groups of subdivided parameters; Obtain the judgment coefficient of the three-dimensional simulation model obtained under different environments and each group of subdivision parameters , thereby obtaining the matching score of each group of segmentation parameters ; Each group of subdivision parameters is sorted from large to small according to the size of the matching score, the largest group of subdivision parameters is selected as the matching parameters, and the parameters of the butterfly valve are optimized according to the matching parameters.

5. The butterfly valve structure optimization design system based on a three-dimensional simulation model according to claim 4 is characterized in that: The matching score The acquisition method is: By formula Obtain the matching score of the wth group of segmentation parameters ; in, , m is the total number of simulated environment types, is the judgment coefficient of the jth environment type under the wth group of subdivision parameters, and , , S is the number of environmental types whose judgment coefficients exceed the average value among m environmental types, is the maximum judgment coefficient under the wth group of subdivision parameters.

6. The butterfly valve structure optimization design method based on the three-dimensional simulation model is characterized by: The method is controlled and implemented by the butterfly valve structure optimization design system based on the three-dimensional simulation model according to any one of claims 1 to 5.

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