Optimization Design Methods for Water Meter Impellers

Abstract

The application provides an optimized design method of a water meter impeller, relates to the technical field of metering water meters, and alleviates the technical problem that the error difference of a water meter at different flow points is large in the prior art. The method comprises the following steps: obtaining impeller parameters of a rigid straight-blade impeller to be optimized; based on the impeller parameters, the rigid straight-blade impeller is optimized into a flexible-blade impeller; a flow performance test is performed on the flexible-blade impeller, and an error curve corresponding to the flexible-blade impeller is obtained; and if the error curve meets the maximum allowable error requirement, the optimized design of the rigid straight-blade impeller to be optimized is ended.

Description

Technical Field

[0001] This application relates to the field of water meter technology, and in particular to an optimized design method for a water meter impeller. Background Technology

[0002] The impeller is the metering element in a single-flow rotary vane water meter (single-flow meter). The impeller rotates under the impact of water flow, and the counting element converts the impeller's rotation into a volumetric water reading. The error (positive or negative) can be calculated using this volumetric reading and the actual water consumption. The relationship between the error and the flow rate is called the error curve. The error curve can be shifted vertically by adjusting the counting element. Therefore, the flatter the error curve, the better the metering accuracy. Traditional single-flow meters often exhibit significant differences in flow conditions between small and large flow conditions (with the meter's boundary flow rate as the operating boundary), frequently resulting in large differences between the large-flow and small-flow errors, making it difficult to meet accuracy requirements by shifting the error curve. The most common scenario is that the large-flow error is numerically much higher than the small-flow error.

[0003] Therefore, existing technologies suffer from the technical problem of significant error variations in water meters at different flow points. Summary of the Invention

[0004] The purpose of this application is to provide an optimized design method for water meter impellers to alleviate the technical problem of large error differences in water meters at different flow points in the prior art.

[0005] In a first aspect, embodiments of this application provide an optimized design method for a water meter impeller, the method comprising:

[0006] Obtain the impeller parameters of the rigid straight blade impeller to be optimized;

[0007] Based on the impeller parameters, the rigid straight blade impeller is optimized into a flexible blade impeller;

[0008] A flow performance test was conducted on the flexible blade impeller to obtain the corresponding error curve of the flexible blade impeller;

[0009] If the error curve meets the maximum permissible error requirement, the optimization design of the rigid straight blade impeller to be optimized is terminated.

[0010] In one possible implementation, the impeller parameters include any one or more of the following:

[0011] Impeller outer diameter, hub diameter, blade height, number of blades, and blade thickness.

[0012] In one possible implementation, the flexible blade impeller has a single circular airfoil profile, and a circular ring structure is provided below the blades; the optimization of the rigid straight blade impeller into a flexible blade impeller based on the impeller parameters includes:

[0013] A first model of the flexible blade impeller is obtained based on the impeller parameters;

[0014] The blade inlet angle, blade outlet angle, and angle variation range of the first model are set;

[0015] Based on the range of angle changes, the blade inlet angle and the blade outlet angle are optimized to obtain the target blade inlet angle and the target blade outlet angle.

[0016] Based on the target blade inlet angle, the target blade outlet angle, the impeller parameters, and the annular structure, a second model of the flexible blade impeller is obtained.

[0017] In one possible implementation, optimizing the blade inlet angle and the blade outlet angle based on the angle variation range to obtain the target blade inlet angle and the target blade outlet angle includes:

[0018] CFD analysis was performed on the first model to obtain the first error value of the first model at the minimum flow point, the second error value of the first model at the boundary flow point, and the third error value of the first model at the maximum flow point.

[0019] The first error value, the second error value, and the third error value are subtracted from each other, and the minimum value of the maximum difference is taken as the optimization objective to determine the target blade inlet angle and the target blade outlet angle.

[0020] In one possible implementation, after obtaining the second model of the flexible blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameters, and the annular structure, the method further includes:

[0021] CFD analysis was performed on the second model to obtain the blade load of the second model at the maximum flow point;

[0022] Based on the blade load, the maximum bending stress of the blade in the second model is determined;

[0023] Based on the maximum bending stress of the blade, the blade thickness of the second model is optimized to obtain the third model of the flexible blade impeller.

[0024] In one possible implementation, the step of conducting a flow performance test on the flexible blade impeller to obtain the corresponding error curve of the flexible blade impeller includes:

[0025] The impeller entity is obtained based on the third model of the flexible blade impeller;

[0026] A flow performance test was conducted on the impeller body to obtain the corresponding error curve.

[0027] In one possible implementation, after performing flow performance tests on the impeller body and obtaining the corresponding error curve for the impeller body, the method further includes:

[0028] If the error curve does not meet the maximum permissible error requirement, the impeller parameters of the third model will be redesigned for optimization.

[0029] Secondly, embodiments of this application provide an electronic device, including a memory and a processor. The memory stores a computer program that can run on the processor, and when the processor executes the computer program, it implements the steps of the method described in the first aspect above.

[0030] Thirdly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to perform the steps of the method described in the first aspect above.

[0031] The embodiments of this application bring the following beneficial effects:

[0032] This application provides an optimization design method for a water meter impeller. First, the impeller parameters of the rigid straight blade impeller to be optimized are obtained. Then, based on the impeller parameters, the rigid straight blade impeller is optimized into a flexible blade impeller. Flow performance tests are then conducted on the flexible blade impeller to obtain its corresponding error curve. If the error curve meets the maximum permissible error requirement, the optimization design of the rigid straight blade impeller is terminated. In this scheme, by optimizing the rigid straight blades of the water meter impeller, while keeping the main design parameters unchanged, the rigid straight blades are optimized into flexible blades that bend towards the outlet. Error analysis is then performed on the optimized flexible blades to ensure they meet the maximum permissible error requirement. Compared to traditional rigid straight blades, the flexible blades bending towards the outlet achieve greater bending under high flow rates, while remaining essentially unchanged under low flow rates. This results in a significant decrease in impeller speed under high flow rates and a slight decrease in impeller speed under low flow rates, achieving the goal of reducing the error difference between low and high flow rates and alleviating the technical problem of large error differences in water meters at different flow points in existing technologies. Moreover, the reduced rotational speed under high flow conditions helps to reduce wear on the shaft end parts, allowing the water meter to maintain its metering accuracy for a longer period of time. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0034] Figure 1 A flowchart illustrating an optimized design method for a water meter impeller provided in an embodiment of this application;

[0035] Figure 2 A schematic diagram of the parameter design process for a water meter impeller provided in an embodiment of this application;

[0036] Figure 3 A schematic diagram of water meter impeller parameters provided in an embodiment of this application;

[0037] Figure 4 A schematic diagram of a rigid straight blade impeller structure provided in an embodiment of this application;

[0038] Figure 5 A schematic diagram of a flexible straight blade impeller structure provided in an embodiment of this application;

[0039] Figure 6 This is a schematic diagram of a flexible straight blade impeller annular structure provided in an embodiment of this application;

[0040] Figure 7 A schematic diagram of the axial section of a single-jet rotary water meter provided in this application embodiment;

[0041] Figure 8 A schematic diagram illustrating the simulation results of a flexible blade provided in an embodiment of this application;

[0042] Figure 9 A schematic diagram showing the comparison results before and after optimization provided for an embodiment of this application;

[0043] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0045] The terms "comprising" and "having," and any variations thereof, used in the embodiments of this application, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0046] Traditional single-flow meters often employ impellers with rigid straight blades. Due to the significant differences in flow conditions between small and large flow conditions (defined by the meter's dividing flow rate), the errors in large and small flow often differ greatly, making it difficult to meet accuracy requirements by simply shifting the error curve. The most common scenario is that the error in large flow is numerically much higher than that in small flow. Furthermore, the materials used for rigid blades generally have a higher density, causing the impeller to sink. The lower shaft tip of the impeller comes into contact with other parts, increasing frictional resistance. This resistance has a significant impact on the error in small flow but a smaller impact on the error in large flow. Ultimately, this increases the error difference between small and large flow conditions.

[0047] Based on this, this application provides an optimized design method for a water meter impeller and an electronic device. The optimized flexible blade impeller can effectively reduce the error difference between small and large flows when the error of large flow is greater than that of small flow, thus alleviating the technical problem of large error differences in water meters at different flow points in the prior art.

[0048] The embodiments of this application will be further described below with reference to the accompanying drawings.

[0049] Figure 1 This is a flowchart illustrating an optimized design method for a water meter impeller provided in an embodiment of this application. Figure 1 As shown, the method includes:

[0050] Step S110: Obtain the impeller parameters of the rigid straight blade impeller to be optimized.

[0051] For example, such as Figure 2 As shown, the impeller parameters of the rigid straight-blade impeller to be optimized can first be obtained by external import or manual input. Specifically, the optimization system can be combined with Computational Fluid Dynamics (CFD) software, and the impeller parameters of the rigid straight-blade impeller to be optimized can be input into the CFD software. For example, as shown... Figure 3 The impeller on the DN20 single-jet rotary water meter shown is an optimized prototype, with 8 blades, a blade height of 13.5 mm, a hub diameter of 10 mm, and an impeller outer diameter of 47 mm.

[0052] It should be noted that in this embodiment, an elastically deformable material with a density as close as possible to that of water is used to manufacture the flexible blade impeller. When the rotor-type water meter impeller is impacted by fluid, it will experience an upward axial force. Therefore, by reducing the weight of the impeller to a certain extent, it can achieve levitation operation, thereby reducing the frictional resistance at the shaft end. The selected material should allow the blades to deform slightly under fluid impact conditions during high-flow operation, increasing the degree of bending.

[0053] Step S120: Based on the impeller parameters, optimize the rigid straight blade impeller into a flexible blade impeller.

[0054] For example, the system can optimize a rigid straight-blade impeller into a flexible-blade impeller using CFD software based on impeller parameters. This can be achieved by keeping some impeller parameters unchanged, such as the impeller outer diameter, hub diameter, blade height, and number of blades, to generate a basic model. Then, the blade inlet and outlet angles are adjusted, along with parameters such as blade thickness, thereby optimizing the rigid straight-blade impeller into a flexible-blade impeller.

[0055] Step S130: Conduct a flow performance test on the flexible blade impeller to obtain the corresponding error curve of the flexible blade impeller.

[0056] For example, after obtaining the optimized flexible blade impeller, the corresponding error curve can be obtained through both simulation analysis and physical experiments.

[0057] Step S140: If the error curve meets the maximum permissible error requirement, the optimization design of the rigid straight blade impeller to be optimized is terminated.

[0058] For example, if the error curve meets the maximum permissible error requirement, the optimization can be considered complete, and the optimization design of the rigid straight blade impeller to be optimized can be terminated.

[0059] This application first obtains the impeller parameters of the rigid straight blade impeller to be optimized. Then, based on the impeller parameters, the rigid straight blade impeller is optimized into a flexible blade impeller. A flow performance test is then conducted on the flexible blade impeller to obtain the corresponding error curve. If the error curve meets the maximum permissible error requirement, the optimization design of the rigid straight blade impeller to be optimized is terminated. By optimizing the rigid straight blades of the water meter impeller, while keeping the main design parameters unchanged, the rigid straight blades are optimized into flexible blades that bend towards the outlet. Error analysis is then performed on the optimized flexible blades to ensure they meet the maximum permissible error requirement. Compared to traditional rigid straight blades, the flexible blades that bend towards the outlet achieve greater bending under high flow rates, while remaining essentially unchanged under low flow rates. This results in a significant decrease in impeller speed under high flow conditions and a slight decrease in impeller speed under low flow conditions, achieving the goal of reducing the error difference between low and high flow rates and alleviating the technical problem of large measurement errors in water meters in the prior art. Moreover, the slower speed under high flow conditions helps reduce wear on shaft end parts, allowing the water meter's measurement accuracy to be maintained for a longer period.

[0060] The steps described above will be explained in detail below.

[0061] In some embodiments, the impeller parameters include any one or more of the following:

[0062] Impeller outer diameter, hub diameter, blade height, number of blades, and blade thickness.

[0063] For example, since the optimization is for rigid straight blades, some parameters of the blade to be optimized can be directly used during the design and modeling process, ensuring the accuracy of the optimized prototype and reducing workload. Figure 4 As shown, using a rigid straight-blade impeller as the optimized prototype, the hub diameter D1, impeller outer diameter D2, blade height, and number of blades can be retained. Alternatively, the blade thickness can be retained initially and then adjusted based on the calculation results in later simulations.

[0064] In some embodiments, the blade profile of the flexible blade impeller is a single circular airfoil, and a ring structure is provided below the blade of the flexible blade impeller; step S120 above may specifically include the following steps:

[0065] Step a) Obtain the first model of the flexible blade impeller based on the impeller parameters.

[0066] Step b) sets the blade inlet angle, blade outlet angle, and angle variation range for the first model.

[0067] Step c) Based on the range of angle changes, optimize the blade inlet angle and the blade outlet angle to obtain the target blade inlet angle and the target blade outlet angle.

[0068] Step d) Based on the target blade inlet angle, target blade outlet angle, impeller parameters, and annular structure, a second model of the flexible blade impeller is obtained.

[0069] For example, such as Figure 5 and Figure 6 As shown, the flexible blade is a single-curvature curved blade. Figure 6 601 is the hub of the flexible blade impeller, 602 is the flexible blade, and 603 is the annular structure. The blade's upstream surface is a convex curved surface, and its downstream surface is a concave curved surface. An annular structure is located at the lower part of the blade, preferably near the root. The blade should exhibit minimal deformation under low flow conditions, while deformation increases with flow rate under high flow conditions. This achieves adaptive flexible deformation. Water meters operate under conditions of fluctuating flow rates, subjecting the blades to dynamic loads. Considering the allowable bending stress of the material, further blade reinforcement is necessary. However, thickening the blades would increase impeller weight and reduce starting flow rate; the blades would also lose their flexible characteristics, increasing error dispersion. Therefore, the annular structure is introduced to reinforce the blades. Figure 7 As shown, in a rotary water meter, the water flow impact point is located near the blade trailing edge. Generally, the bending moment on the blade increases from the trailing edge towards the blade root. The circular ring structure positioned in the middle near the root helps maintain flexibility while effectively reinforcing the blade.

[0070] Water meter impellers cannot be designed for a single operating point, therefore, they can be initially based on, for example... Figure 3 The impeller parameters of the rigid straight blade impeller shown are used to obtain the first model of the flexible blade impeller. First, the initial inlet angle α and outlet angle β are selected and a feasible parameter range is given. The optimal parameters are determined using a multi-parameter optimization algorithm to obtain the target blade inlet angle and target blade outlet angle. Then, a circular ring structure is added below the blade to obtain the second model of the flexible blade impeller.

[0071] In practical applications, simulation analysis shows that the pressure loss of the water meter increases with the increase of the impeller bending degree. Simultaneously, the computational cost increases with the increase of the optimization parameter range. Considering pressure loss and computational cost, α = 45°~60° and β = 45°~60° can be selected as the upper and lower limits of the optimization parameters. After optimization calculation and rounding of the obtained candidate results, α was determined to be 52.5° and β = 52.5°. Then, a ring with a thickness of 1mm, an inner diameter of 10mm, and an outer diameter of 22mm was set at the bottom of the blade. The coverage area extends from the middle of the blade near the hub to the edge of the hub.

[0072] By scientifically optimizing the inlet and outlet angles of the flexible blades through the above steps, rigid straight blades can be optimized into flexible blades without changing parameters such as impeller outer diameter, hub diameter, blade height, and number of blades. Furthermore, the circular structure below the blades can improve the measurement accuracy of the water meter and reduce measurement errors.

[0073] Based on steps a), b), c), and d) above, step c) may specifically include the following steps:

[0074] Step e) Perform CFD analysis on the first model to obtain the first error value of the first model at the minimum flow point, the second error value of the first model at the boundary flow point, and the third error value of the first model at the maximum flow point.

[0075] Step f) calculates the difference between each pair of the first error value, the second error value, and the third error value, and takes the minimum maximum difference value as the optimization objective to determine the target blade inlet angle and the target blade outlet angle.

[0076] For example, the inlet angle α and outlet angle β can be used as optimization parameters, and the minimum range of the error (considering the minimum flow point, the boundary flow point, and the maximum flow point) can be used as the optimization objective. A method combining multi-parameter direct optimization algorithm (or other optimization algorithms) and CFD analysis can be used to determine the appropriate inlet angle α and outlet angle β (when performing CFD analysis, it is first assumed that the blade is rigid), that is, the target blade inlet angle and the target blade outlet angle.

[0077] It should be noted that the direct optimization algorithm described above can generate multiple combinations of optimization parameters based on given upper and lower limits. Then, 3D modeling software is used to generate the impeller geometry model, and further, a computational domain model is generated. Next, numerical analysis software is used to perform simulation analysis on the computational domain model, outputting data on the optimization objective and constraints. The direct optimization algorithm can narrow down the upper and lower limits of the optimization parameters based on the obtained simulation data. The above steps are repeated until the upper and lower limits are less than a given value. At this point, the direct optimization algorithm provides candidate parameter combinations. Adjusting the parameter values ​​according to actual needs (e.g., rounding) yields the desired impeller parameters.

[0078] By performing CFD analysis on the first model, the system obtains the first error value of the first model at the minimum flow point, the second error value of the first model at the boundary flow point, and the third error value of the first model at the maximum flow point. The system then calculates the difference between each pair of these error values. Finally, using the minimum maximum difference as the optimization objective, the system determines the target blade inlet angle and the target blade outlet angle, ensuring that the optimized blade model corresponds to the optimal value for both angles, thus improving the optimization effect.

[0079] Based on steps a), b), c), and d) above, after step d), the method may further include the following steps:

[0080] Step g) Perform CFD analysis on the second model to obtain the blade load of the second model at the maximum flow point.

[0081] Step h) determines the maximum bending stress of the blade in the second model based on the blade load.

[0082] Step i) Based on the maximum bending stress of the blade, the blade thickness of the second model is optimized to obtain the third model of the flexible blade impeller.

[0083] For example, such as Figure 8 As shown, (a) is the simulation diagram of blade load on the optimized impeller model, (b) is the simulation diagram of stress distribution on the optimized impeller model, and (c) is the simulation diagram of blade profile variation on the optimized impeller model. The system can first perform a simulation calculation of the blade load at the maximum flow point on the impeller model, and output the blade load (CFD analysis result) of the flexible blade impeller at the maximum flow point to the next step of finite element analysis. Then, the system performs finite element analysis on the flexible blade impeller to obtain the maximum bending stress, and further optimizes the blade thickness to determine a new blade thickness according to the allowable bending stress.

[0084] In practical applications, an impeller model can be constructed based on selected parameters, and CFD analysis can be performed at the maximum flow point to output the blade load into the finite element analysis. Based on the calculated bending stress and the allowable bending stress of the material, the blade thickness is determined to be 1.5 mm.

[0085] The system performs CFD analysis on the second model to obtain the blade load at the maximum flow point. Based on this load, the maximum bending stress of the blades in the second model is determined. Then, based on this maximum bending stress, the blade thickness of the second model is optimized to obtain the third model of the flexible blade impeller. Through these steps, the flexible blade impeller is further optimized, resulting in higher water meter detection accuracy and smaller error differences at different flow points.

[0086] Based on steps g), h), and i), step S130 may specifically include the following steps:

[0087] Step j) Obtain the impeller entity based on the third model of the flexible blade impeller.

[0088] Step k) Conduct a flow performance test on the impeller body to obtain the corresponding error curve of the impeller body.

[0089] For example, CFD analysis struggles to account for the effects of frictional resistance. Therefore, for the optimized impeller model, the experimental error under actual flow conditions is generally smaller than the simulation result. To verify the effectiveness of the optimized design, it is necessary to fabricate the impeller and conduct flow performance tests to obtain results such as… Figure 9 The error curve corresponding to the impeller entity shown.

[0090] Based on steps j) and k) above, after step k), the method may further include the following steps:

[0091] Step 1): If the error curve does not meet the maximum permissible error requirement, then the impeller parameters of the third model are redesigned for optimization.

[0092] For example, a flow performance test is conducted on the new impeller to obtain an error curve. For a level-two precision cold water meter, the national standard requires that the absolute value of the error under low flow conditions be less than 5%, and the absolute value of the error under high flow conditions be less than 2%. The error curve can be shifted up and down by adjusting the device. If the optimized water meter meets the maximum permissible error requirement according to the standard, no secondary adjustment is needed. If it does not, a redesign is required.

[0093] Figure 10 The present invention provides a schematic diagram of the structure of an electronic device, which includes: a processor 1001, a memory 1002, a bus 1003 and a communication interface 1004. The processor 1001, the communication interface 1004 and the memory 1002 are connected through the bus 1003. The processor 1001 is used to execute executable modules, such as computer programs, stored in the memory 1002.

[0094] The memory 1002 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 1004 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0095] Bus 1003 can be an ISA bus, PCI bus, or EISA bus, etc. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 10 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0096] The memory 1002 is used to store programs. After receiving an execution instruction, the processor 1001 executes the program. The method executed by the device for defining the flow process disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 1001 or implemented by the processor 1001.

[0097] Processor 1001 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 1001 or by instructions in software form. The processor 1001 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 1002. Processor 1001 reads the information in memory 1002 and, in conjunction with its hardware, completes the steps of the above method.

[0098] The computer program product of the readable storage medium provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods in the foregoing method embodiments. For specific implementation, please refer to the foregoing method embodiments, which will not be repeated here.

[0099] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0100] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An optimized design method for a water meter impeller, characterized in that, The method includes: Obtain the impeller parameters of the rigid straight blade impeller to be optimized; Based on the impeller parameters, the rigid straight blade impeller is optimized into a flexible blade impeller; wherein, the blade profile of the flexible blade impeller is a single circular arc airfoil, and a circular ring structure is provided below the blade, the circular ring structure being located in the middle of the blade near the root; under high flow conditions, the deformation of the blade increases with the increase of flow rate; the flexible blade impeller is manufactured using an elastic deformable material with a density as close as possible to that of water; A flow performance test was conducted on the flexible blade impeller to obtain the corresponding error curve of the flexible blade impeller; If the error curve meets the maximum permissible error requirement, the optimization design of the rigid straight blade impeller to be optimized is terminated.

2. The method according to claim 1, characterized in that, The impeller parameters include any one or more of the following: Impeller outer diameter, hub diameter, blade height, number of blades, and blade thickness.

3. The method according to claim 2, characterized in that, The optimization of the rigid straight blade impeller into a flexible blade impeller based on the impeller parameters includes: A first model of the flexible blade impeller is obtained based on the impeller parameters; The blade inlet angle, blade outlet angle, and angle variation range of the first model are set; Based on the range of angle changes, the blade inlet angle and the blade outlet angle are optimized to obtain the target blade inlet angle and the target blade outlet angle. Based on the target blade inlet angle, the target blade outlet angle, the impeller parameters, and the annular structure, a second model of the flexible blade impeller is obtained.

4. The method according to claim 3, characterized in that, The optimization of the blade inlet angle and the blade outlet angle based on the angle variation range to obtain the target blade inlet angle and the target blade outlet angle includes: CFD analysis was performed on the first model to obtain the first error value of the first model at the minimum flow point, the second error value of the first model at the boundary flow point, and the third error value of the first model at the maximum flow point. The first error value, the second error value, and the third error value are subtracted from each other, and the minimum value of the maximum difference is taken as the optimization objective to determine the target blade inlet angle and the target blade outlet angle.

5. The method according to claim 3, characterized in that, After obtaining the second model of the flexible blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameters, and the annular structure, the method further includes: CFD analysis was performed on the second model to obtain the blade load of the second model at the maximum flow point; Based on the blade load, the maximum bending stress of the blade in the second model is determined; Based on the maximum bending stress of the blade, the blade thickness of the second model is optimized to obtain the third model of the flexible blade impeller.

6. The method according to claim 5, characterized in that, The process of conducting flow performance tests on the flexible blade impeller to obtain the corresponding error curve for the flexible blade impeller includes: The impeller entity is obtained based on the third model of the flexible blade impeller; A flow performance test was conducted on the impeller body to obtain the corresponding error curve.

7. The method according to claim 6, characterized in that, After conducting flow performance tests on the impeller body and obtaining the corresponding error curve, the method further includes: If the error curve does not meet the maximum permissible error requirement, the impeller parameters of the third model will be redesigned for optimization.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions that, when invoked and executed by a processor, cause the processor to perform the method according to any one of claims 1 to 7.

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