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

Abstract

The invention discloses a butterfly valve structure optimization design method and system based on a three-dimensional simulation model, and belongs to the technical field of butterfly valve production. The butterfly valve structure optimization design method comprises a three-dimensional model building module for building a three-dimensional simulation model of a butterfly valve; the simulation execution module is used for carrying out analogue simulation on the three-dimensional simulation model; the parameter acquisition module is used for acquiring relevant parameter information generated in the analogue simulation process; the analysis module is used for performing analysis processing according to the related parameter information to generate a judgment coefficient so as to judge whether the three-dimensional simulation model under the current set parameters is qualified or not; and the optimization module is used for optimizing the parameters under the qualified three-dimensional simulation model. According to the method, under the condition that the set parameters are judged to be reasonable, the set parameters are further subdivided, and the optimal butterfly valve design parameters are determined according to the judgment coefficients under different working environments, so that the butterfly valve is optimized, the precision of the butterfly valve can be greatly improved, and the increasingly stringent requirements of the modern industry for the butterfly valve are met.

Description

Technical Field

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

[0002] As a common flow control device, butterfly valves are widely used in many industrial fields such as petroleum, chemical industry, electric power, metallurgy, water supply and drainage, as well as in urban infrastructure construction. With the increasing refinement of industrial production processes, the demand for precise control of fluid flow is continuously increasing. The flow regulation accuracy of traditional butterfly valves is difficult to meet the requirements of this high-precision control, and it is necessary to improve the flow regulation accuracy of butterfly valves at different opening degrees through optimized design to achieve precise control of fluid flow.

[0003] When optimizing traditional butterfly valves, samples are generally manufactured for testing, and then the butterfly valves are continuously improved. This method has a high cost and a long test cycle; in addition, due to the complexity and diversity of the actual working environment when the butterfly valve is actually used, physical prototype tests are difficult to comprehensively cover all possible working environments, there are test blind spots, so the experiments on the butterfly valve are not comprehensive enough, resulting in insufficient optimization of the butterfly valve. Summary of the Invention

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

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

[0006] A system for optimizing the structure design of a butterfly valve based on a three-dimensional simulation model, the system includes:

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

[0008] A simulation execution module, which is used to simulate different environments, so as to perform simulation on the established three-dimensional simulation model of the butterfly valve;

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

[0010] An analysis module, which analyzes and processes the acquired relevant associated parameter information to generate a judgment coefficient, and judges whether the three-dimensional simulation model under the current set parameters is qualified according to the judgment coefficient;

[0011] An optimization module, which is used to optimize the parameters of the three-dimensional simulation model judged to be qualified.

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

[0013] Further, the working method of the analysis module is as follows:

[0014] Within the detection period ΔT, according to different simulated valve openings, calculate the first deviation coefficient R of the butterfly valve K ;

[0015] Within the detection period Δt, gradually increase the valve opening of the butterfly valve from zero, thereby calculating the second deviation coefficient R of the butterfly valve D ;

[0016] Obtain the judgment coefficient through the formula ;

[0017] When τ < 1, it is determined that the three-dimensional simulation model under the current set parameters is qualified;

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

[0019] Further, the method for obtaining the first deviation coefficient R K is as follows:

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

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

[0022] Obtain the first deviation coefficient R through the formula ; K ;

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

[0024] Furthermore, the method for obtaining the second deviation coefficient R D is as follows:

[0025] Another detection period Δt is determined. During the detection period Δt, the valve opening of the butterfly valve is gradually increased from zero, so as to obtain the curve function D F (x) of the pressure varying with the opening, the curve function D V (x) of the flow rate varying with the opening, and the curve function D N (x) of the resistance varying with the opening;

[0026] The second deviation coefficient R is obtained through the formula D ;

[0027] Among them, is the curve function of the standard pressure varying with the opening at the corresponding detection point of the butterfly valve, is the curve function of the standard flow rate varying with the opening at the corresponding detection point of the butterfly valve, is the curve function of the standard resistance varying with the opening at the corresponding detection point of the butterfly valve, x1 is the maximum opening of the butterfly valve, ΔD F is the pressure ratio value, ΔD V is the flow rate ratio value, ΔD N is the resistance ratio value.

[0028] Furthermore, the working method of the optimization module is as follows:

[0029] When it is determined that the three-dimensional simulation model under the current set parameters is qualified, the set parameters are further refined into P groups of sub-parameters;

[0030] The judgment coefficient τ of the three-dimensional simulation models obtained under each group of sub-parameters in different environments is obtained, so as to obtain the matching score B w ;

[0031] The groups of sub-parameters are sorted from large to small according to the size of the matching score, and the group of sub-parameters with the largest value is selected as the matching parameter, and the parameters of the butterfly valve are optimized according to the matching parameter.

[0032] Further, the matching score B w is obtained by the following method:

[0033] Through the formula the matching score B of the w-th group of subdivision parameters is obtained w ;

[0034] wherein m is the total number of simulated environment types, is the judgment coefficient of the j-th environment type under the w-th 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 w-th group of subdivision parameters.

[0035] A method for optimizing the butterfly valve structure based on a three-dimensional simulation model, and the method is controlled and implemented through the system for optimizing the butterfly valve structure based on the three-dimensional simulation model described above.

[0036] Advantages of the present invention:

[0037] The present invention optimizes the butterfly valve by using three-dimensional simulation technology instead of traditional physical prototype experiments, so that various design schemes can be evaluated and compared quickly and at low cost in the design stage, the optimal scheme can be selected, the design cycle is greatly shortened, the R & D cost is reduced, and the performance of the butterfly valve is improved; at the same time, the pressure information, resistance information, water flow velocity and other information generated during the simulation can be analyzed to judge whether the currently set parameters are reasonable, so as to quickly narrow the parameter range and improve the parameter accuracy range of the butterfly valve.

[0038] The present invention can also further subdivide the set parameters through the optimization module under the condition that the set parameters are judged to be reasonable, and determine the optimal butterfly valve design parameters according to the judgment coefficients under different working environments, so as to optimize 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, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0041] Figure 1 is the system block diagram of the present invention. Detailed implementation manners

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

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

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

[0045] A simulation execution module, which is used to simulate different environments, so as to perform simulation on the established three-dimensional simulation model of the butterfly valve;

[0046] A parameter acquisition module, which is used to acquire relevant associated parameter information generated during the simulation process and transmit it to the analysis module. The relevant associated parameter information includes pressure information, resistance information, water flow velocity information, etc. of the corresponding detection points of the butterfly valve;

[0047] An analysis module, which analyzes and processes the acquired relevant associated parameter information to generate a judgment coefficient, and judges whether the three-dimensional simulation model under the currently set parameters is qualified according to the judgment coefficient;

[0048] An optimization module, which is used to optimize the parameters under the qualified three-dimensional simulation model.

[0049] Through the above technical solutions, this application optimizes the butterfly valve by using three-dimensional simulation technology instead of traditional physical prototype experiments. In this way, various design schemes can be evaluated and compared quickly and at low cost in the design stage, and the optimal scheme can be selected, greatly shortening the design cycle, reducing the R & D cost, and improving the performance of the butterfly valve; this application can analyze according to the pressure information, resistance information, water flow velocity and other information generated during the simulation by the analysis module to judge whether the currently set parameters are reasonable, so as to quickly narrow the parameter range and improve the parameter accuracy range of the butterfly valve; in addition, when it is judged that the set parameters are reasonable, the optimization module can further subdivide the set parameters and determine the best design parameters of the butterfly valve according to the judgment coefficient under different working environments, so as to optimize 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 as follows: within the detection period ΔT, according to different simulated valve openings, calculate the first deviation coefficient R of the butterfly valve. K ;

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

[0052] Obtain the judgment coefficient through the formula ;

[0053] When τ < 1, it is determined that the three-dimensional simulation model under the current set parameters is qualified.

[0054] Among them, α1 and α2 are proportionality coefficients, and R th is the set risk judgment threshold.

[0055] The first deviation coefficient R K The acquisition method is as follows: according to different simulated valve openings, set n valve openings, draw up a detection period ΔT, and obtain the pressure magnitude K, flow velocity magnitude K F and resistance magnitude K V at the corresponding detection points of the butterfly valve under each valve opening within the detection period ΔT, and respectively draw up the pressure-time variation curve function K N (t), flow velocity-time variation curve function K F (t) and resistance-time variation curve function K V (t); N ;

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

[0057] Obtain the first deviation coefficient R through the formula ; K ;

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

[0059] The second deviation coefficient R D The acquisition method is as follows: Another detection period Δt is determined. During the detection period Δt, the valve opening of the butterfly valve is gradually increased from zero, so as to obtain the curve function D of the pressure at the corresponding detection point of the butterfly valve changing with the opening F (x), the curve function D of the flow velocity changing with the opening V (x) and the curve function D of the resistance changing with the opening N (x);

[0060] Through the formula The second deviation coefficient R is obtained D ;

[0061] Among them, is the curve function of the standard pressure changing with the opening at the corresponding detection point of the butterfly valve, is the curve function of the standard flow velocity changing with the opening at the corresponding detection point of the butterfly valve, is the curve function of the standard resistance changing with the opening at the corresponding detection point of the butterfly valve, x1 is the maximum opening of the butterfly valve, ΔD F is the pressure ratio value, ΔD V is the flow velocity ratio value, ΔD N is the resistance ratio value.

[0062] Through the above technical solution, this embodiment mainly provides a specific method for the analysis module to judge whether the set butterfly valve parameters are qualified. First, within the detection period ΔT, according to different simulated valve openings, the first deviation coefficient R K is obtained. This method is that within the detection period ΔT, the valve opening of a single detection is fixed. Specifically, according to different simulated valve openings, n valve openings are set, a detection period ΔT is determined, and the pressure magnitude K F , flow velocity magnitude K V and resistance magnitude K N at the corresponding detection point of the butterfly valve are obtained at each valve opening within the detection period ΔT, and the curve function K of the pressure changing with time F (t), the curve function K of the flow velocity changing with time V (t) and the curve function K of the resistance changing with time N (t) are respectively determined; through the formula the deviation value K at each valve opening is obtained, and finally through the formula the first deviation coefficient R is obtained K ; In the formula, is the preset curve function of the standard pressure changing with time at the corresponding valve opening, K is the preset standard flow rate versus time curve function under the corresponding valve opening, N (t) is the preset standard resistance change curve function with time 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, which can be formulated according to the ideal data obtained after analyzing the experimental data and empirical data. It can be seen from the formula that the greater the difference between the simulated pressure change, resistance change, water flow rate change and the standard pressure change, resistance change, water flow rate change, the less ideal the proposed parameters are. 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; also within 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 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 analyzing the 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, the less qualified the set parameters are; therefore, the formula is finally used The judgment coefficient is obtained, and the two are comprehensively analyzed and then compared with the set risk judgment threshold R thBy making a comparison, it is obvious that when the τ value is less than 1, it indicates that the 3D simulation model under the current set parameters is qualified. In this way, a comprehensive analysis can be carried out on the changes in pressure, flow rate, resistance, etc. of the butterfly valve at a fixed opening of the valve during a single detection and the changes in pressure, flow rate, resistance, etc. of the butterfly valve when the valve opening is constantly changing, so as to 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 x1 of the butterfly valve can all be artificially determined according to the actual situation; while the weight coefficient ρ of the deviation value at each valve opening i , the proportionality coefficients α1 and α2, and the set risk judgment threshold R th can be determined according to the simulation simulation empirical data and historical data.

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

[0065] Obtain the judgment coefficient τ of the 3D simulation model obtained under each group of sub-parameters in different environments, so as to obtain the matching score B of each group of sub-parameters w ;

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

[0067] And the matching score B w The acquisition method is: through the formula Obtain the matching score B of the wth group of sub-parameters w ;

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

[0069] Through the above technical solutions, this embodiment provides a specific method for the optimization module to optimize parameters. First, when it is determined that the 3D simulation model under the current set parameters is qualified, the set parameters are further refined into P groups of sub-parameters. For example, according to the values of the qualified parameters, more refined parameters are formulated for division to obtain multiple groups of sub-parameters. Then, according to different simulation environments (such as division by high temperature, low temperature, normal temperature, etc.), the judgment coefficient τ of the 3D simulation model obtained under each group of sub-parameters in different environments is obtained, so as to obtain the matching score B of each group of sub-parameters through the formula Finally, parameter optimization is carried out according to the matching score situation; it can be seen from the formula that the formula w represents a fluctuation situation of the judgment coefficients obtained under each group of sub-parameters. Obviously, the smaller its value, the better the performance of the butterfly valve under this parameter. Similarly, S is the number of environmental types in which the judgment coefficient exceeds the average value among m environmental types, is the maximum judgment coefficient under the w-th group of sub-parameters. It can be seen that the smaller the value of S, or the smaller the value of, it can also indicate that the performance of the butterfly valve under this parameter is better. Therefore, when the matching score B is larger, it indicates that under this group of coefficients, the working performance of the butterfly valve in the 3D simulation is better. Therefore, each group of sub-parameters is sorted from largest to smallest according to the size of the matching score, and the largest group of sub-parameters is selected as the matching parameters, and each parameter of the butterfly valve is optimized according to the matching parameters. In this way, when it is determined that the set parameters are reasonable, the set reasonable parameters can be further subdivided, and the best refined design parameters of the butterfly valve can be determined according to the judgment coefficients under different working environments, so as to optimize 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. w A method for optimizing the structure design of a butterfly valve based on a 3D simulation model, and this optimization design method is controlled and implemented through the above-mentioned butterfly valve structure optimization design system based on a 3D simulation model.

[0070] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

[0071] ​

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, wherein the three-dimensional model building module 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, which is used to acquire relevant associated parameter information generated during the simulation process and transmit it to the analysis module; An analysis module, wherein the analysis module generates a judgment coefficient by analyzing the acquired related parameter information, and judges whether the three-dimensional simulation model under the current set parameters is qualified according to the judgment coefficient; The optimization module is used to optimize the parameters of the qualified three-dimensional simulation model.

2. The butterfly valve structure optimization design system based on the three-dimensional simulation model according to claim 1 is characterized in that: The relevant associated parameter information includes pressure information, resistance information and water flow rate information of corresponding detection points of the butterfly valve.

3. The butterfly valve structure optimization design system based on three-dimensional simulation model according to claim 2 is characterized in that: The working method of the analysis module is: In the detection period ΔT, the first deviation coefficient R of the butterfly valve is calculated according to the different simulated valve openings. K ; In 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 ; By formula Determine the judgment coefficient; When τ<1, the three-dimensional simulation model under the current setting parameters is judged to be qualified; Among them, α1 and α2 are proportional coefficients, R th The risk judgment threshold is set.

4. The butterfly valve structure optimization design system based on three-dimensional simulation model according to claim 3 is characterized in that: The first deviation coefficient R K The acquisition method is: According to the different simulated valve openings, n valve openings are set, a detection cycle ΔT is proposed, and the pressure K at the corresponding detection point of the butterfly valve under each valve opening within the detection cycle ΔT is obtained. F , flow rate K V And the resistance K N , and respectively proposed the pressure-time curve function K F (t), velocity versus time curve function K V (t) and the resistance variation curve function K N (t); By formula Obtain the deviation value K at each valve opening; By formula The first deviation coefficient R K ; Wherein, T1 is the start time of the detection period ΔT, T2 is the end time of the detection period ΔT, It is the preset standard pressure changing with time curve function under the corresponding valve opening. K is the preset standard flow rate versus time curve function 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.

5. The butterfly valve structure optimization design system based on three-dimensional simulation model according to claim 3 is characterized in that: The second deviation coefficient R D The acquisition method is: 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 at the corresponding detection point of the butterfly valve and the opening change curve function D F (x), velocity versus opening curve function D V (x) and the resistance curve function D N (x); By formula The second deviation coefficient R D ; 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.

6. The butterfly valve structure optimization design system based on three-dimensional simulation model according to claim 3 is characterized in that: The optimization module works as follows: When the three-dimensional simulation model under the current setting parameters is judged to be qualified, the setting parameters are further divided into P groups of subdivided parameters; Obtain the judgment coefficient τ of the three-dimensional simulation model obtained under each group of segmentation parameters under different environments, so as to obtain the matching score B of each group of segmentation parameters. w ; 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 each parameter of the butterfly valve is optimized according to the matching parameters.

7. The butterfly valve structure optimization design system based on three-dimensional simulation model according to claim 6 is characterized in that: The matching score B w The acquisition method is: By formula Obtain the matching score B of the wth group of segmentation parameters w ; 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.

8. The butterfly valve structure optimization design method based on three-dimensional simulation model is characterized by: The method is implemented by controlling the butterfly valve structure optimization design system based on the three-dimensional simulation model as described in any one of claims 1 to 7.

Images