Explosion valve flow resistance simulation piece trial-manufacturing and shaping method

Abstract

The invention discloses an explosion valve flow resistance simulation part trial-manufacture shaping method, a flow resistance simulation part at least comprises an inlet gradual contraction section, a minimum through-flow section and an outlet gradual expansion section, according to the trial-manufacture shaping method, initial design parameters are classified, fine-adjustable structure parameters and a first fine-adjustment parameter are determined, and even second and third sequential fine-adjustment parameters are determined; the trial-manufactured sample is tested, a fine tuning parameter value is calculated and determined according to a test result, a parameter value determination method comprises an original arithmetic experience determination method or a least square determination method, and therefore rapid design shaping of the explosion valve flow resistance simulation piece is achieved.

Description

Technical Field

[0001] This invention relates to the field of flow resistance testing technology, specifically to a method for prototyping and finalizing a flow resistance simulation component for a burst valve. Background Technology

[0002] The passive nuclear power plant core cooling system (hereinafter referred to as the PXS system) is a unique safety system of AP / CAP series nuclear power plants. Its rupture valve is normally in a closed state and is opened in a "destructive" manner. It is an important safety device used to open the direct injection pipeline at the outlet of the containment refueling tank (hereinafter referred to as IRWST), the sump safety injection pipeline, and the sump recirculation pipeline in the event of an accident.

[0003] The flow channel test of the PXS system directly restricts the implementation of the primary loop hydraulic test in a nuclear power plant and is a key and crucial point in nuclear island commissioning. According to the design requirements for PXS system testing in AP / CAP series nuclear power plants, during the unit commissioning phase, it is essential to conduct pipeline flow resistance measurement tests and flow channel data tests on the direct injection pipeline at the IRWST outlet of the PXS system and the sump-mounted safety injection pipeline. These tests are used to verify whether the IRWST's ability to directly inject into the reactor core under severe accident conditions meets the safety analysis and design requirements of the nuclear power plant.

[0004] The official burst valves used in AP / CAP series nuclear power plants are closed valves. Their opening action is a destructive, permanent opening. This means that during the PXS system commissioning phase of the power plant, the official burst valves cannot participate in flow resistance tests on the direct safety injection pipeline (high-pressure burst valve installation pipeline) between the IRWST tank outlet and the reactor core. Therefore, during testing, a burst valve flow resistance simulator with the same axial physical dimensions and equivalent flow resistance as the official burst valve must be used to replace it. Furthermore, this flow resistance simulator must possess high-precision measurement capabilities.

[0005] Because there are clear limitations on the installation dimensions between the flanges of the high-pressure rupture valve pipeline, clear limitations on the flow resistance value of the actual rupture valve, and clear requirements on the range performance and measurement accuracy of the flow resistance simulator, under normal circumstances, customers or design units will conduct a detailed analysis of the structure of the rupture valve flow resistance simulator based on the site design requirements. In order to ensure that the same pipeline component meets all the requirements and conditions at the same time, and can well replace the actual rupture valve installed in the test pipeline for pipeline flow resistance testing, and to accurately measure the parameters required for the safety injection capability analysis of the direct injection pipeline from the IRWST water tank outlet to the reactor core, detailed design requirements for the rupture valve flow resistance simulator are proposed through simulation tests.

[0006] However, during product finalization, due to deviations in theoretical data, errors in analytical methods, actual environmental factors, and processing technology, the final performance of the burst valve flow resistance simulator produced according to the structural parameters derived from theoretical design or simulation experiments may not meet the test requirements. In such cases, fine-tuning of structural parameters is necessary. This cyclical "fine-tuning-trial production" model, without suitable guidance, can easily lead to blind and disorderly adjustments due to the large number of adjustable parameters. Even when only a few parameters are adjusted, the method and amount of adjustment significantly impact the efficiency of trial production and finalization. Without proper guidance, even after ten or more batches of trials, an ideal finalized product may not be obtained, relying heavily on luck. This will severely affect new product development and production efficiency. Summary of the Invention

[0007] The purpose of this invention is to overcome the defects in the prior art and provide a convenient and quick method for prototyping and finalizing a flow resistance simulation component for a burst valve, thereby improving the efficiency of its prototyping and finalization.

[0008] To achieve the above objectives, this invention designs a method for prototyping and finalizing a flow resistance simulation component for a burst valve. The flow resistance simulation component includes at least an inlet converging section, a minimum flow passage section, and an outlet expanding section (regardless of whether the simulation component is unidirectional or bidirectional, it generally needs to include these components from the perspective of the flow direction). The method for prototyping and finalizing the component comprises: S1. Obtain initial design parameters (theoretical and / or simulation design parameters) and classify them. The classification includes at least three categories: structural parameters, operational parameters, and performance parameters. The structural parameters are mainly the dimensional parameters of each component of the flow resistance simulator, including deterministic structural parameters and fine-tunable structural parameters. The operational parameters are the setting parameters during the test of the flow resistance simulator, and the performance parameters are the test result parameters of the flow resistance simulator. S2. The fine-tunable structural parameters are sorted for fine-tuning, and at least the first fine-tuning parameter is determined. S3. First trial production: Produce a sample based on the structural parameters in the initial design parameters. S4. Sample Testing: Test the prototype sample according to the testing specifications (1:1 engineering pipeline performance test under specific operating parameters and procedures), record the test results, and determine whether the sample performance parameters meet the requirements. For the burst valve flow resistance simulation component, the performance parameters include at least flow resistance and / or discharge coefficient. If the test parameters meet the requirements, the prototype testing ends; otherwise, proceed to the next step. Generally, if the difference between the original simulation results and the actual test results is very small, or if the results after subsequent fine-tuning of the structure are controllable, the design scheme can be directly finalized. S5. Parameter adjustment: Select the adjustment object and determine the parameter value; prioritize the first fine-tuning parameter, and determine the parameter value according to the fine-tuning parameter value determination method. The parameter value determination method includes the principle-based empirical determination method and / or the least squares determination method. The principle-based empirical determination method includes determining the parameter value according to the adjustment principle. The parameter value determination must at least satisfy the increasing or decreasing relationship between the fine-tuning parameter and the measured performance parameter (this is the adjustment principle). Under the premise of satisfying the principle, the specific parameter value is determined based on experience and may not have a specific value. S6. Trial production again. Based on the determined parameter values, adjust the corresponding fine-tunable parameters and trial production again. If the performance test fails, CFD simulation (Computational Fluid Dynamics) can be performed again based on the performance test data and the fine-tuning parameters given in this invention to correct the error. Then, the sample is remade and the performance test is carried out until the test results meet the design requirements. Repeat steps S4 to S6 until the test results meet the performance parameter requirements under the operating parameter conditions. The latest sample parameters are then the trial-formulation parameters.

[0009] Furthermore, the deterministic structural parameters include pipe interface specification parameters, body size parameters, and pressure tap position parameters, while the finely adjustable structural parameters include throat diameter, first front angle, second front angle, rear angle, high-pressure tap diameter, and low-pressure tap diameter.

[0010] The operating parameters include fluid medium, flow range, operating pressure, operating temperature, and body material; The performance parameters include the required flow resistance and accuracy class, and may also include the outflow coefficient, etc.

[0011] Furthermore, the first fine-tuning parameter includes the throat diameter, the second fine-tuning parameter includes the first front angle, and the third fine-tuning parameter includes the rear angle.

[0012] Furthermore, the adjustment principles of the first fine-tuning parameter include "the throat diameter should be increased when the measured flow resistance is too large, and the throat diameter should be decreased when the measured flow resistance is too small." The least squares determination method (i.e., the method for determining the fine-tuning parameter value) mentioned in step S5 includes: Let the ideal flow resistance R0 (design requirement value) be, and the flow resistances of the first to the i-th trial samples be R1, R2, ..., R... i The throat diameters of the corresponding samples are D1, D2, ..., D i Simultaneously, let x be... i =1 / D i 4 x i =1 / D i 3 xi =1 / D i 2 or x i =1 / D i , where i is a natural number greater than or equal to 1; Once the first i-1 sample trials and tests have been completed (the samples should generally be qualified), the first fine-tuning parameter value for the i-th sample trial is... (Formula 1) (Formula 2) in, , The sampled values ​​of group i-1 are respectively , The average value; therefore, we have , , or .

[0013] Furthermore, in step S5, if the performance of the first trial sample does not meet the requirements, the first fine-tuning parameter value during the second trial should meet the principle that "the throat diameter should be increased when the measured flow resistance is too large and the throat diameter should be decreased when the measured flow resistance is too small," and a parameter value should be determined with reference to experience.

[0014] Furthermore, the least squares determination method includes, for the case of multiple trial samples produced in the same batch with the same set of parameters, the test data used to determine the fine-tuning parameter values ​​includes test data of at least two qualified samples in the same batch, or test data of several (generally all) qualified samples.

[0015] Furthermore, the least squares determination method includes, for the case where multiple flow resistance test results are tested on the same sample under different flow conditions, the test data used to fine-tune the parameter values ​​include flow resistance deviation test data of at least one qualified sample under at least two different flow conditions, or several sets (generally all) of flow resistance deviation test data of qualified samples.

[0016] Furthermore, the least squares determination method includes, when multiple prototype samples from the same batch or several samples facing multiple tests, the flow resistance deviation test data used to fine-tune the parameter values ​​include at least two qualified samples from the same batch under at least two different flow conditions, or flow resistance deviation test data of several qualified samples.

[0017] Furthermore, the trial production method also includes: the trial production sample used for fine-tuning parameter values ​​is a qualified sample; The methods for judging non-compliant samples (data outliers) include: samples that are obviously non-compliant by visual inspection or experience are not included in the sample testing; or, when visual inspection or experience cannot determine the non-compliance, based on the sample test data, if there are multiple samples from the same batch (generally more than 3), samples with obviously outlier test data are directly removed and not included in the subsequent parameter value calculation; the obviously outlier test data is, for example, a single sample flow resistance value that differs from the average flow resistance value of the batch samples by more than 10%, and the specific threshold can be determined or adjusted based on experience; or, if it is difficult to judge within the same batch, a joint clustering judgment method with several batches of products that have been judged to be compliant can also be used.

[0018] Furthermore, the trial production method also includes: when the calculated parameter value contradicts the principle that "the throat diameter should be increased when the measured flow resistance is too high and the throat diameter should be decreased when the measured flow resistance is too low," it is possible to further check whether all samples are qualified, or lower the outlier threshold to further eliminate more unqualified samples; if the samples are already qualified, this situation is generally caused by process instability, and the process stability should be further checked, and the trial production should be carried out again, or further methods include maintaining the current or immediately preceding result of the first fine-tuning parameter, making similar adjustments to the second fine-tuning parameter, and conducting sample trial production and testing. The specific adjustment principle or method depends on the characteristics of the parameter itself and its relationship with the measured performance parameter.

[0019] The advantages and beneficial effects of this invention are as follows: The proposed method for prototyping and finalizing a flow resistance simulator of a burst valve involves classifying initial design parameters and determining adjustable structural parameters, first and second adjustable parameters, and so on. Prototype samples are then tested, and the values ​​of these adjustable parameters are calculated based on the test results. The parameter value determination methods include principle-based empirical methods or least squares methods, thereby enabling rapid design finalization of the flow resistance simulator. Using this method, prototyping and finalizing of burst valve simulators typically requires only 2-3 batches of prototyping and testing, and generally no more than 5 batches are needed to obtain the desired finalization parameters, improving finalization efficiency by at least 50%.

[0020] In the trial production and finalization of flow resistance simulation parts for burst valves, sometimes requirements are put forward for the pass rate of multiple test pieces under the same parameter conditions. In this case, in addition to fine-tuning the parameters, it is also necessary to evaluate and improve the stability of the processing technology, such as coaxiality, roughness, dimensional accuracy, and positional accuracy. The specific methods are not within the scope of protection of this invention, but the methods provided by this invention can in fact help to analyze and judge the stability of the process. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the structure of a one-way burst valve flow resistance simulation device; Figure 2This is a schematic diagram of the structure of a two-way rupture valve flow resistance simulation device; Figure 3 This is a flowchart of the prototyping and finalization method for the flow resistance simulation component of the explosion valve of the present invention.

[0022] Markings in the image: 1. Inlet section; 2. First inlet converging section; 3. Second inlet converging section; 4. Minimum flow section; 5. Outlet bell mouth; 6. Outlet transition section; 7. Pressure tap at 0° on the high-pressure side; 8. Pressure tap at 0° on the low-pressure side; 9. Pipeline mounting flange; 10. Pressure tap at 90° on the high-pressure side; 11. Smooth transition surface from the first to the second inlet converging section; 12. Smooth transition surface from the second converging section to the minimum flow section; 13. Pressure tap at 90° on the low-pressure side; 14. Smooth transition surface from the minimum flow section to the outlet bell mouth; 15. Pipeline mounting flange bolt hole; 16. Outlet flange sealing surface; 17. Inlet flange sealing surface; A—Smooth transition structure at the interface between converging section 2 and converging section 3; B—Smooth transition structure at the interface between converging section 3 and minimum flow surface; C—Smooth transition structure at the interface between expanding section 3 and minimum flow surface; D—Smooth transition structure at the interface between expanding section 3 and expanding section 2; E—Expanding section 1; F—Expanding section 2; G—Expanding section 3; H—Minimum flow section; I—Converging section 3; J—Converging section 2; K—Converging section 1; L—Inlet / outlet connection transition section; M—Inlet / outlet connection transition section. Detailed Implementation

[0023] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and examples. The following examples are only used to more clearly illustrate the technical solutions of the present invention and should not be construed as limiting the scope of protection of the present invention.

[0024] Example 1: Because the burst valve opens in a "destructive" manner, it cannot be directly used for commissioning and testing during the formal installation and commissioning period, considering the economic efficiency of the burst valve and the requirement for precise measurement and analysis of the flow channel during commissioning. Therefore, it is necessary to develop a device with flow resistance performance comparable to the burst valve and with precise measurement capabilities to replace the burst valve for commissioning and testing of various systems. This device is a key temporary device for flow channel testing, and its flow resistance performance and measurement accuracy have a direct impact on the flow channel test results, thereby affecting the safe operation of the system. Such equipment must be imported from abroad.

[0025] Based on the requirements, this embodiment uses three types of burst valve flow resistance simulators for PXS system flow channel testing, each with different structural dimensions and flow resistance parameters: IRWST direct injection pipeline, sump injection pipeline, and sump recirculation pipeline. Therefore, three types of burst valve flow resistance simulators suitable for passive core nuclear power plant cooling system flow channel testing need to be designed and manufactured separately. This achieves the localization of burst valve flow resistance simulators used in PXS system flow channel testing, thereby avoiding the impact of imported equipment on commissioning work, reducing commissioning costs, and lowering the constraints of foreign technical barriers on unit commissioning work.

[0026] The flow resistance simulator for burst valves used in flow channel testing is designed to replace the actual burst valve in flow channel testing of the actuator system. It must meet the following conditions: (1) The structural dimensions of the flow resistance simulation component are consistent with those of the actual burst valve, which presents the challenges of small structural space and high design difficulty; (2) The flow resistance of the simulation component must be comparable to that of the corresponding formal burst valve. Due to the large difference in their internal structures, it is difficult to ensure that the flow resistance is comparable. (3) The measurement accuracy of the flow resistance simulation component must meet the test requirement of uncertainty ±0.2%, which is the highest accuracy requirement among differential pressure flow meters.

[0027] The measurement data from the flow channel test of the burst valve flow resistance simulator will be directly used for the flow resistance analysis and calculation of the injection pipeline. This involves functional analysis related to nuclear safety. Currently, the flow resistance simulators used in the AP1000 units in China are rented from abroad, which presents the dilemma of high cost, long cycle, and technical dependence on others. Furthermore, the original equipment cannot be applied to the current domestic CAP1000 units.

[0028] This invention designs a method for prototyping and finalizing a flow resistance simulation component for a burst valve, such as... Figure 1 , Figure 2 As shown, this embodiment takes two different specifications (models V120AB and V118AB) of rupture valve flow resistance simulation components (for specific structural components, please refer to Chinese invention patents CN113252298A entitled "A High-Pressure Rupture Valve Flow Resistance Simulation Component Device" and CN111933319A entitled "A Bidirectional Measurement Rupture Valve Flow Resistance Simulation Component Device") as examples. The flow resistance simulation component includes at least an inlet converging section, a minimum flow section, and an outlet expanding section (regardless of whether it is a unidirectional or bidirectional simulation component, from the perspective of the flow direction, it generally needs to include the above components). The characteristic is that the trial-forming method includes: S1. Obtain initial design parameters (theoretical and / or simulation design parameters) and classify them. The classification includes at least three categories: structural parameters, operational parameters, and performance parameters. The structural parameters are mainly the dimensional parameters of each component of the flow resistance simulator, including deterministic structural parameters and fine-tunable structural parameters. The operational parameters are the setting parameters during the test of the flow resistance simulator, and the performance parameters are the test result parameters of the flow resistance simulator. S2. The fine-tunable structural parameters are sorted for fine-tuning, and at least the first fine-tuning parameter is determined. S3. First trial production: Produce a sample based on the structural parameters in the initial design parameters. S4. Sample Testing: Test the prototype sample according to the testing specifications (1:1 engineering pipeline performance test under specific operating parameters and procedures), record the test results, and determine whether the sample performance parameters meet the requirements. For the burst valve flow resistance simulation component, the performance parameters include at least flow resistance and / or discharge coefficient. If the test parameters meet the requirements, the prototype testing ends; otherwise, proceed to the next step. Generally, if the difference between the original simulation results and the actual test results is very small, or if the results after subsequent fine-tuning of the structure are controllable, the design scheme can be directly finalized. S5. Parameter Adjustment: Select the adjustment target and determine the parameter value; prioritize the first fine-tuning parameter, and determine the parameter value according to the fine-tuning parameter value determination method. The parameter value determination method includes the principle-based empirical determination method and / or the least squares determination method. The principle-based empirical determination method includes determining the parameter value according to the adjustment principle. The parameter value determination must at least satisfy the increasing or decreasing relationship between the fine-tuning parameter and the measured performance parameter (this is the adjustment principle). Under the premise of satisfying the principle, the specific parameter value is determined based on experience and may not have a specific value. In this embodiment, half of the maximum empirical change is used to determine the fine-tuning parameter value, and fine-tuning and trial production are carried out. S6. Trial production again. Based on the determined parameter values, adjust the corresponding fine-tunable parameters and trial production again. If the performance test fails, CFD simulation (Computational Fluid Dynamics) can be performed again based on the performance test data and the fine-tuning parameters given in this invention to correct the error. Then, the sample is remade and the performance test is carried out until the test results meet the design requirements. Repeat steps S4 to S6 until the test results meet the performance parameter requirements under the operating parameter conditions. The latest sample parameters are then the trial-formulation parameters.

[0029] Furthermore, such as Figure 1 , Figure 2As shown, the deterministic structural parameters include pipe interface specification parameters (i.e., actual pipe dimensions, matching requirements at the simulated component interface, such as pipe length, main pipe diameter, etc.), body dimension parameters (such as flange thickness, mounting hole position, etc.), and pressure tap position parameters, etc. The fine-tunable structural parameters include throat diameter (minimum orifice diameter of the minimum flow section), first front angle ( Figure 1 The first tapering section of the entrance or Figure 2 The conical angle of the tapered segment 2 or the expanding segment 2 in the middle), the second front included angle ( Figure 1 The second tapering section of the entrance or Figure 2 The taper features a tapered angle (either the converging or expanding section 3), a rear included angle, a high-pressure tapping pipe diameter, and a low-pressure tapping pipe diameter. For unidirectional simulation components, there is one first front included angle and one second front included angle. For bidirectional simulation components, there are two first front included angles and two second front included angles (because it is a symmetrical design, the rear included angle is no longer distinguished; in fact, from the flow direction, the outlet can also be considered the rear included angle). The rear included angle of this invention only applies to unidirectional simulation components. Since the total length is a deterministic structural parameter, the segment length is also determined once the angle and diameter parameters are determined for each segment. Therefore, there is no separate segment length parameter in the fine-tuning parameters. Regarding the position and diameter of the tapping hole, the design is generally optimal and there is no room for further improvement. This design mainly affects whether the "accuracy level (or flow uncertainty)" meets the requirements. If the requirements are not met, it is either because the roughness of the inner wall of the processing pipe is too poor or there are too many burrs at the port, making it a defective product, or the design must be overturned and a new theoretical analysis and design must be carried out. There is little room for fine-tuning and improvement during trial production.

[0030] The operating parameters include fluid medium (such as demineralized water), flow range (or maximum flow), operating pressure (or working pressure range, test pressure value), operating temperature (or working temperature range), body material, etc. The performance parameters include the design-required flow resistance (or maximum flow resistance) and accuracy class (or flow uncertainty), and may also include the outflow coefficient, etc.

[0031] In this embodiment, the first fine-tuning parameter includes the throat diameter (the minimum orifice diameter of the minimum flow section), the second fine-tuning parameter includes the first front angle (the angle at which the inlet tapering section first contracts when viewed along the flow direction), the third fine-tuning parameter includes the rear angle (the angle at which the outlet expanding section finally expands to match the normal flow channel orifice diameter when viewed along the flow direction), and the fourth fine-tuning parameter includes the second front angle (the angle at which the inlet tapering section contracts for the second time when viewed along the flow direction). The specific parameters can be determined comprehensively based on the actual processing site, the degree of influence of structural parameters on performance, and the ease of adjustment. This invention does not provide the only solution.

[0032] Preferably, the adjustment principle of the first fine-tuning parameter in this embodiment includes "the throat diameter should be increased when the measured flow resistance is too large, and the throat diameter should be decreased when the measured flow resistance is too small".

[0033] Example 2: The difference from Example 1 is that the least squares determination method (i.e., the method for determining the fine-tuning parameter values) in step S5 of this example includes: For a single sample in a batch, and testing under the same flow conditions, the flow resistance is generally inversely proportional to the fourth power of the throat diameter. Let the ideal flow resistance be R0 (the design requirement value), and the flow resistances of the first to the i-th prototype samples be R1, R2, ..., R... i The throat diameters of the corresponding samples are D1, D2, ..., D i Simultaneously, let x be... i =1 / D i 4 x i =1 / D i 3 x i =1 / D i 2 or x i =1 / D i , where i is a natural number greater than or equal to 1; Once the first i-1 sample trials and tests have been completed (the samples should generally be qualified), the first fine-tuning parameter value for the i-th sample trial is... (Formula 1) (Formula 2) in, , The sampled values ​​of group i-1 are respectively , The average value; therefore, we have , , or .

[0034] When using L / D to represent flow resistance, the inverse proportional relationship can be directly utilized, i.e., defining x... i =1 / D i Alternatively, inverse proportional relationships such as quadratic, cubic, and quartic powers can be defined for fitting, which generally yields better trial results, although the convergence characteristics may be slightly worse. The basic principle of this method is based on x... i For independent variable, R i The design is based on the principle of linear least squares, with the variable being the dependent variable.

[0035] When considering the discharge coefficient as a performance indicator in parameter calculations, it is generally assumed to be proportional to the throat diameter, the square of the throat diameter, or the cube of the throat diameter (x...). i With D iThe relationship should be redefined for fitting, using the same method and principle as above; if it is necessary to simultaneously consider flow resistance and discharge coefficient for fine-tuning parameter calculations, the above method can be used to calculate separately and then take the average of the two results, or a new system can be established with flow resistance and discharge coefficient as binary independent variables and D... i The process involves a nonlinear fitting equation for the dependent variable, which is then linearized before being designed using the principle of linear least squares. This is relatively complex.

[0036] Preferably, in step S5, if the performance of the first trial sample does not meet the requirements, the first fine-tuning parameter value in the second trial should meet the principle that "the throat diameter should be increased when the measured flow resistance is too large and the throat diameter should be decreased when the measured flow resistance is too small," and a parameter value should be determined with reference to experience; the trial value should be determined by the least squares determination method in subsequent trials.

[0037] This preferred solution is mainly aimed at the aforementioned x. i Or D i The calculation formula requires at least two trial production tests to design the application calculation scenario. In fact, the first trial production is for the throat diameter parameters of theoretical design or simulation. If the test indicators meet the requirements, the trial production is completed. If not, a second trial production is required. The relevant trial production parameters should be set according to the principle of "the throat diameter should be increased when the measured flow resistance is too large and decreased when the measured flow resistance is too small". Refer to the standard Venturi tube flow calculation equation and resistance loss calculation method to calculate and determine a fine-tuning parameter value. As long as the adjustment direction is correct, accuracy is not strictly required. If the test indicators meet the requirements, the trial production is completed. Otherwise, the parameter values ​​are calculated from the third trial production onwards, referring to the relevant calculation methods.

[0038] Example 3: The difference from Example 1 is that, in order to test and determine the stability of the trial production process, the least squares determination method in this example includes, for the case of multiple trial samples produced in the same batch with the same set of parameters, the test data used to determine the fine-tuning parameter values ​​includes test data from at least two qualified samples in the same batch, or test data from several (generally all) qualified samples. Specifically, for example, the flow resistance and throat diameter parameters are R... ij D ij Where i represents the i-th batch of trial production and testing, and j represents the j-th sample in each batch; generally, in order to overcome the influence of process instability and test noise, all qualified sample test data will be used, that is, Formula 1 and Formula 2 are used to perform statistical calculations on the two subscripts. The specific principle and method can be consistent with the single-item sample single-flow test, so the calculated parameter values ​​are more reliable; the process includes processing coaxiality, roughness, dimensional accuracy, positional accuracy, etc.

[0039] Example 4: The difference from Example 1 is that, in order to obtain the characteristics of the test sample under different flow conditions, the least squares determination method in this example includes, for the case where multiple flow resistance test results were tested on the same sample under different flow conditions, the test data used to fine-tune the parameter values ​​includes flow resistance deviation test data of at least one qualified sample under at least two different flow conditions, or several sets (generally all) of flow resistance deviation test data of qualified samples; specifically, the measurable flow resistance and throat diameter parameters are R... ik D ik Flow resistance deviation ΔR ik =R ik -R 0k Where i represents the i-th sample, k represents the k-th test of that sample, and R 0k This represents the ideal flow resistance (design requirement value) at the flow rate corresponding to the k-th test; that is, Formula 1 and Formula 2 are used to statistically calculate the two subscripts i and k, and the flow resistance deviation ΔR is used. ik Instead of the measured flow resistance value R i Because the nominal flow resistance value generally differs under different flow conditions, direct test results are insufficient to explain the characteristics of data variation. However, for the same flow test item, there is only one ideal throat diameter, so Formulas 1 and 2 can be used directly without considering the difference. In other words, even if a single sample from each batch undergoes a single test, Formulas 1 and 2 can still be used to calculate the flow resistance deviation ΔR. i Instead of the measured flow resistance value R i of.

[0040] Example 5: The difference from Example 1 is that, in order to more accurately test and determine the stability of the trial production process, the least squares determination method in this example includes, for situations where multiple trial production samples from the same batch or several samples face multiple tests, the flow resistance deviation test data used to fine-tune the parameter values ​​includes at least two qualified samples from the same batch under at least two different flow conditions, or flow resistance deviation test data of several qualified samples; generally, it is the flow resistance deviation test data of all qualified samples under all flow conditions. For convenience and clarity, a 3-subscript form can be considered for clearer expression, denoted as R for flow resistance and throat diameter parameters respectively. ijk D ijk Flow resistance deviation ΔR ijk =R ijk -R 0k Where i represents batch trial production and testing, j represents the j-th sample in each batch, k represents the k-th test of that sample, and R 0k This indicates the ideal flow resistance (design requirement value) at the flow rate corresponding to the k-th test. Formulas 1 and 2 perform statistical calculations on the three subscripts. The specific principles and methods are the same as those for single-item sample single-flow test.

[0041] Example 6: The difference from Example 1 is that the trial production method described in this example further includes: fine-tuning parameter values ​​to determine whether the trial production sample is a qualified sample; The methods for judging non-compliant samples (data outliers) include: samples that are obviously non-compliant by visual inspection or experience are not included in the sample testing; or, when visual inspection or experience cannot determine the non-compliance, based on the sample test data, if there are multiple samples in the same batch (generally more than 3), samples with obviously outlier test data are directly removed and not included in the subsequent parameter value calculation; the obviously outlier test data is, for example, the flow resistance value of a single sample differs from the average flow resistance value of the batch samples by more than 10%, and the specific threshold can be determined or adjusted based on experience; or, if it is difficult to judge within the same batch, a joint clustering judgment method with several batches of products that have been judged to be qualified can be used. The specific judgment method includes, firstly, performing the first fitting calculation, then judging whether the newly added sample (the previous sample data has been analyzed and judged to be qualified) belongs to the same category (i.e., whether the data is outlier), removing the data of non-compliant samples, and performing the second fitting to calculate the required parameter values; mature clustering analysis methods can be used. This embodiment uses a relatively simple judgment method: whether the distance between the sample data point and the fitted curve / straight line exceeds the set threshold, and if it exceeds, it is judged as an outlier.

[0042] Example 7: The difference from Example 1 is that the trial production method described in this example further includes: when the calculated result of the fine-tuning parameter value violates the principle that "the throat diameter should be increased when the measured flow resistance is too large and the throat diameter should be decreased when the measured flow resistance is too small," it is possible to further check whether all samples are qualified, or lower the outlier judgment threshold to further eliminate more unqualified samples; if they are already qualified samples, this situation is generally caused by process instability, and the process stability should be further checked, and the trial production should be carried out again, or further methods include maintaining the current or immediately adjacent result of the first fine-tuning parameter, making similar adjustments to the second fine-tuning parameter, and conducting sample trial production and testing, specifically adjusting... The adjustment principle or method is determined based on the characteristics of the parameter itself and its relationship with the measured performance parameter. For example, in this embodiment, the adjustment principle of the second fine-tuning parameter, the first front angle, is that "the first front angle should be adjusted smaller when the measured flow resistance is too large, and the first front angle should be adjusted larger when the measured flow resistance is too small". As for the fitting parameter, the reciprocal of the angle value expressed in radians (1 / θ), the reciprocal of its sine function (1 / sinθ), or the reciprocal of its cosine function (cosθ) can be directly selected. The specific method and principle are the same as those of the first fine-tuning parameter. Similarly, if the second fine-tuning parameter is still difficult to meet the adjustment results, the third fine-tuning parameter, the fourth fine-tuning parameter, etc. can be selected in sequence to continue the trial production test.

[0043] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, including combinations of different embodiments. These improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method of prototyping a flow resistance simulator for a burst valve, the flow resistance simulator comprising at least an inlet converging section, a minimum flow passage section, and an outlet diverging section, the method comprising: providing a first flow resistance simulator having a first minimum flow passage section; providing a second flow resistance simulator having a second minimum flow passage section; and determining a ratio of the first minimum flow passage section to the second minimum flow passage section. The trial molding method comprises: S1, obtaining initial design parameters and classifying the initial design parameters, the classification at least comprising three categories of structure parameters, operation parameters and performance parameters; the structure parameters comprise deterministic structure parameters and adjustable structure parameters; S2, adjusting and sorting the adjustable structure parameters to determine at least a first adjustment parameter; S3, first trial, sample trial according to the initial design parameters; S4, sample testing, testing the trial sample according to the testing specification, recording the testing results, and determining whether the sample performance parameters meet the requirements; the performance parameters at least comprise flow resistance and / or discharge coefficient; if the testing parameters meet the requirements, the trial is ended, otherwise the next step is entered; S5, parameter adjustment, selecting an adjustment object and determining a parameter value; the first adjustment parameter is preferentially selected, and the parameter value is determined according to a parameter value determination method; the parameter value determination method comprises a principle experience determination method and / or a least square determination method; the principle experience determination method comprises determining the parameter value according to an adjustment principle, and the parameter value determination at least satisfies an increasing or decreasing relationship between the adjustment parameter and the measured performance parameter change; S6, re-trial, re-trial after adjusting the corresponding adjustable parameter according to the determined parameter value; steps S4-S6 are cyclically executed until the testing results meet the performance parameter requirements under the operation parameter conditions, and then the latest sample parameters are the trial molding parameters.

2. The method of claim 1, wherein: The deterministic structure parameters comprise pipeline interface specification parameters, body size parameters and pressure tapping hole position parameters; the adjustable structure parameters comprise throat diameter, first front included angle, second front included angle, rear included angle, high-pressure pressure tapping hole diameter and low-pressure pressure tapping hole diameter; The operation parameters comprise fluid medium, flow range, operation pressure, operation temperature and body material; The performance parameters comprise design required flow resistance and precision grade.

3. A method according to claim 1 or 2, c h a r a c t e r i s e d in that The first adjustment parameter comprises the throat diameter, the second adjustment parameter comprises the first front included angle, and the third adjustment parameter comprises the rear included angle.

4. The method of claim 3, wherein the method further comprises: The adjustment principle of the first adjustment parameter comprises "the throat diameter should be adjusted to be larger when the measured flow resistance is too large, and the throat diameter should be adjusted to be smaller when the measured flow resistance is too small"; the least square determination method in step S5 comprises: Let the flow resistance of the ideal ideal be R0, and the flow resistance of the first to the ith trial sample be R1, R2,..., R i , respectively. The throat diameter of the corresponding sample is D1, D2,..., D i , respectively. i Let x i =1 / D 4 , x i =1 / D i , x 3 =1 / D i , x i =1 / D 2 , or x i =1 / D i , i is a natural number greater than or equal to 1. When i-1 times of sample trial and testing have been completed, the first adjustment parameter value of the i-th sample trial is (Formula 1) (Formula 2) in, , The sampled values ​​of group i-1 are respectively , The average value; therefore, we have , , or .

5. The method of claim 4, wherein: In step S5, if the performance of the first trial sample does not meet the requirements, the first adjustment parameter value in the second trial meets the principle of "the throat diameter should be adjusted to be larger when the measured flow resistance is too large, and the throat diameter should be adjusted to be smaller when the measured flow resistance is too small", and a adjustment parameter value is determined according to experience cognition.

6. The method of claim 4, wherein: The least square determination method comprises, for the same group of parameters and the same batch of trial samples, the testing data used for the adjustment parameter value determination comprises at least testing data of two qualified samples in the same batch, or testing data of a plurality of qualified samples.

7. The method of claim 4, wherein: The least square determination method comprises, for the same sample and under different flow conditions, a plurality of flow resistance test results are tested, the testing data used for the adjustment parameter value determination comprises at least flow resistance deviation testing data of one qualified sample under at least two different flow conditions, or a plurality of groups of flow resistance deviation testing data of the qualified sample.

8. The method of claim 4, wherein: The least square determination method includes, for the same batch of multiple trial samples, when multiple samples face multiple tests, the test data for fine-tuning parameter value determination includes flow resistance deviation test data of at least two different flow conditions of at least two qualified samples of the same batch, or flow resistance deviation test data of multiple qualified samples.

9. The method of claim 1, wherein: The trial molding method further includes that the trial sample for fine-tuning parameter value determination is a qualified sample. Wherein, the unqualified sample judgment method includes: visually or empirically judging obviously unqualified samples; or, when visual or empirical judgment is not possible, according to sample test data, if it is multiple samples of the same batch, directly eliminate samples with obviously outlier detection data, and do not participate in subsequent parameter value calculation; or, adopt a joint clustering judgment method with multiple batches of products that have been judged qualified.

10. The method of claim 1, wherein: The trial molding method further includes: when the fine-tuning parameter value calculation result is contrary to the principle that "when the measured flow resistance deviation is large, the throat diameter should be adjusted larger, and when the measured flow resistance deviation is small, the throat diameter should be adjusted smaller", further check whether all samples are qualified, or lower the outlier judgment threshold, and further eliminate more unqualified samples; if it has already belonged to a qualified sample, further check the process stability, re-trial, or further method includes maintaining the current or immediately preceding first fine-tuning parameter result, and performing similar adjustment on the second fine-tuning parameter, sample trial and test, the specific adjustment principle or method is determined according to the characteristics of the parameter itself and the relationship with the measured performance parameter.

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