CN115293065A - Optimal design method for water meter impeller - Google Patents
Optimal design method for water meter impeller Download PDFInfo
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Abstract
The invention provides an optimal design method of a water meter impeller, relates to the technical field of water meter metering, and solves the technical problem that the water meter has large error difference at different flow points in the prior art. The method comprises the following steps: obtaining impeller parameters of a rigid straight blade impeller to be optimized; optimizing a rigid straight blade impeller into a flexible blade impeller based on impeller parameters; carrying out a flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller; if the error curve meets the maximum permissible error requirement, the optimized design of the rigid straight-blade impeller to be optimized is ended.
Description
Technical Field
The application relates to the technical field of water meter measurement, in particular to an optimal design method for a water meter impeller.
Background
The impeller is a metering element in a single flow rotary wing water meter (single flow meter). The impeller is impacted by water flow to rotate, and the counting element converts the rotation amount of the impeller into a volume indication value of water. Through volume indication and actual water consumption, an error (positive and negative distinction) can be calculated. The variation of the error with the flow point is called an error curve. The error curve can be translated up and down by adjusting the counting element as a whole. The flatter the error curve, the better the meter accuracy. The traditional uniflow meter has the defects that the flow conditions of a small-flow working condition and a large-flow working condition (the dividing flow of the water meter is taken as a working condition limit) are greatly different, the difference between a large-flow error and a small-flow error is often large, and the precision requirement is difficult to meet through a translation error curve. The most common situation is that the large stream error is numerically much higher than the small stream error.
Therefore, the prior art has the technical problem that the error difference of the water meter at different flow points is large.
Disclosure of Invention
The application aims to provide an optimal design method of a water meter impeller, so as to relieve the technical problem that the error difference of a water meter at different flow points is large in the prior art.
In a first aspect, an embodiment of the present application provides a method for optimally designing a water meter impeller, where the method includes:
obtaining impeller parameters of a rigid straight blade impeller to be optimized;
optimizing the rigid straight blade impeller to a flexible blade impeller based on the impeller parameters;
performing a flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller;
and if the error curve meets the maximum allowable error requirement, finishing the optimal design of the rigid straight blade impeller to be optimized.
In one possible implementation, the impeller parameters include any one or more of:
impeller outer diameter, hub diameter, blade height, number of blades, and blade thickness.
In one possible implementation, the blade profile of the flexible blade impeller is a single arc airfoil profile, and a circular ring structure is arranged below the blades of the flexible blade impeller; said optimizing said rigid straight bladed impeller to a flexible bladed impeller based on said impeller parameters, comprising:
obtaining a first model of the flexible blade impeller based on the impeller parameters;
setting a blade inlet angle, a blade outlet angle and an angle change range of the first model;
optimizing the blade inlet angle and the blade outlet angle based on the angle change range to obtain a target blade inlet angle and a target blade outlet angle;
and obtaining a second model of the flexible blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameters and the ring structure.
In one possible implementation, the optimizing the blade inlet angle and the blade outlet angle based on the angle variation range to obtain a target blade inlet angle and a target blade outlet angle includes:
performing CFD analysis on the first model to obtain a first error value of the first model at a minimum flow point, a second error value of the first model at a boundary flow point and a third error value of the first model at a maximum flow point;
and performing difference on the first error value, the second error value and the third error value in pairs, and determining a target blade inlet angle and a target blade outlet angle by taking the minimum maximum difference value as an optimization target.
In one possible implementation, after the obtaining the second model of the flexible-blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameter, and the annular structure, the method further includes:
performing CFD analysis on the second model to obtain the blade load of the second model at the maximum flow point;
determining a maximum blade bending stress of the second model based on the blade loads;
and optimizing the thickness of the blades of the second model based on the maximum bending stress of the blades to obtain a third model of the flexible blade impeller.
In a possible implementation, the performing a flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller includes:
obtaining an impeller entity based on a third model of the flexible blade impeller;
and carrying out a flow performance test on the impeller entity to obtain an error curve corresponding to the impeller entity.
In a possible implementation, after the performing the flow performance test on the impeller entity to obtain the error curve corresponding to the impeller entity, the method further includes:
and if the error curve does not meet the maximum allowable error requirement, performing optimization design again based on the impeller parameters of the third model.
In a second aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program executable on the processor, and the processor implements the steps of the method according to the first aspect when executing the computer program.
In a third aspect, embodiments of the present application provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to perform the steps of the method of the first aspect.
The embodiment of the application brings the following beneficial effects:
the embodiment of the application provides an optimal design method of a water meter impeller, which comprises the steps of firstly obtaining impeller parameters of a rigid straight blade impeller to be optimized, then optimizing the rigid straight blade impeller into a flexible blade impeller based on the impeller parameters, carrying out flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller, and ending the optimal design of the rigid straight blade impeller to be optimized if the error curve meets the maximum allowable error requirement. In the scheme, the rigid straight blade of the water meter impeller is optimized to be the flexible blade bending towards the water outlet under the condition that main design parameters are not changed, the optimized flexible blade is subjected to error analysis, and the flexible blade meets the requirement of the maximum allowable error. And after the rotating speed is reduced under the heavy-current working condition, the abrasion of shaft end parts is favorably reduced, so that the metering precision of the water meter can be kept for a longer time.
Drawings
In order to more clearly illustrate the detailed description of the present application or the technical solutions in the prior art, the drawings used in the detailed description or the prior art description will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a method for optimally designing a water meter impeller according to an embodiment of the present disclosure;
fig. 2 is a schematic view illustrating a parameter design process of a water meter impeller according to an embodiment of the present application;
fig. 3 is a schematic view of parameters of a water meter impeller provided in an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a rigid straight blade impeller provided in an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a flexible straight blade impeller provided in an embodiment of the present application;
FIG. 6 is a schematic view of a flexible straight blade impeller ring structure provided in an embodiment of the present application;
FIG. 7 is a schematic axial cross-sectional view of a single-flow rotor-type water meter according to an embodiment of the present disclosure;
FIG. 8 is a schematic diagram illustrating simulation results of a flexible blade according to an embodiment of the present application;
FIG. 9 is a graph illustrating comparative results before and after optimization according to an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The terms "comprising" and "having," and any variations thereof, as referred to in the embodiments of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The traditional single-flow meter mostly adopts an impeller with a rigid straight blade structure. Because the difference between the flow conditions of the small flow condition and the large flow condition (the dividing flow of the water meter is used as the working condition limit) is large, the difference between the large flow error and the small flow error is large, and the precision requirement is difficult to meet through a translation error curve. The most common situation is that the large stream error is numerically much higher than the small stream error. Meanwhile, the material used for the rigid blades is generally high in density, and the impeller sinks. The top of the lower shaft of the impeller is contacted with other parts, so that the friction resistance is increased. The resistance has obvious influence on small flow errors and small influence on large flow errors. The error difference between the small and large streams is eventually increased.
Based on this, the embodiment of the application provides an optimal design method for a water meter impeller and electronic equipment, and the flexible blade impeller optimized by the method can effectively reduce the error difference between the small flow and the large flow aiming at the condition that the large flow error is larger than the small flow error, thereby relieving the technical problem that the error difference of the water meter at different flow points is larger in the prior art.
The embodiments of the present application will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for optimally designing a water meter impeller according to an embodiment of the present application. As shown in fig. 1, the method includes:
and step S110, obtaining impeller parameters of the rigid straight blade impeller to be optimized.
For example, as shown in fig. 2, the system may first obtain the impeller parameters of the rigid straight blade impeller to be optimized by means of external introduction or manual input. Specifically, the optimization system may be combined with Computational Fluid Dynamics (CFD) software, and the impeller parameters of the rigid straight bladed impeller to be optimized are entered into the CFD software. For example, the impeller on the DN20 single-flow-beam rotary-wing water meter shown in FIG. 3 is taken as an optimized prototype, the number of the blades is 8, the height of the blades is 13.5mm, the diameter of the hub is 10mm, and the outer diameter of the impeller is 47mm.
It should be noted that in the embodiments of the present application, the flexible blade impeller is made of an elastically deformable material having a density as close to that of water as possible. When the impeller of the rotary-wing water meter is impacted by fluid, the impeller is subjected to upward axial force. Therefore, the impeller is lightened to a certain degree, and the suspension work can be realized, so that the friction resistance of the shaft end is reduced. The material selected should be such that the blades impacted by the fluid under high flow conditions are slightly deformed and the degree of curvature increased.
Step S120, optimizing the rigid straight-bladed impeller to a flexible bladed impeller based on the impeller parameters.
For example, the system may optimize a rigid straight bladed impeller to a flexible bladed impeller by CFD software based on impeller parameters. The method comprises the steps of generating a basic model by keeping partial parameters in impeller parameters unchanged, such as the outer diameter of the impeller, the diameter of a hub, the height of blades, the number of blades and other parameters unchanged, adjusting the inlet angle and the outlet angle of the blades, and adjusting the thickness of the blades and other parameters, so that the rigid straight blade impeller is optimized into a flexible blade impeller.
And S130, performing a flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller.
Illustratively, after the optimized flexible blade impeller is obtained, a corresponding error curve can be obtained through two modes of simulation analysis and material object test.
And step S140, if the error curve meets the maximum allowable error requirement, finishing the optimal design of the rigid straight blade impeller to be optimized.
Illustratively, if the error curve meets the maximum allowable error requirement, the optimization can be deemed complete, ending the optimal design for the rigid straight bladed wheel to be optimized.
According to the embodiment of the application, the impeller parameters of the rigid straight blade impeller to be optimized are firstly obtained, then the rigid straight blade impeller is optimized into the flexible blade impeller based on the impeller parameters, so that a flow performance test is carried out on the flexible blade impeller, an error curve corresponding to the flexible blade impeller is obtained, and if the error curve meets the maximum allowable error requirement, the optimization design of the rigid straight blade impeller to be optimized is finished. The rigid straight blade of the water meter impeller is optimized into the flexible blade bending towards the water outlet under the condition that main design parameters are not changed, the optimized flexible blade is subjected to error analysis, and the flexible blade meets the requirement of the maximum allowable error. And after the rotating speed is reduced under the heavy-flow working condition, the abrasion of shaft end parts is favorably reduced, so that the metering precision of the water meter can be kept for a longer time.
The above steps are described in detail below.
In some embodiments, the impeller parameters include any one or more of:
impeller outer diameter, hub diameter, blade height, blade count, and blade thickness.
Exemplarily, due to the optimization aiming at the rigid straight blade, part of parameters of the blade to be optimized can be directly used during design modeling, the accuracy of an optimized prototype is ensured, and the workload is reduced. As shown in fig. 4, the hub diameter D1, the impeller outer diameter D2, the blade height and the number of blades can be retained by using a rigid straight blade impeller as an optimized prototype. The thickness of the blade can be reserved firstly, and then the thickness of the blade is adjusted according to the calculation result in the later simulation calculation.
In some embodiments, the blade profile of the flexible blade impeller is a single arc airfoil profile, and a circular ring structure is arranged below the blades of the flexible blade impeller; the step S120 may specifically include the following steps:
step a), obtaining a first model of the flexible blade impeller based on the impeller parameters.
And b), setting a blade inlet angle, a blade outlet angle and an angle change range of the first model.
And c), optimizing the inlet angle and the outlet angle of the blade based on the angle change range to obtain a target inlet angle and a target outlet angle of the blade.
And d), obtaining a second model of the flexible blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameter and the circular ring structure.
Illustratively, as shown in fig. 5 and 6, the flexible blade is a single-curvature curved blade, and 601 in fig. 6 is a flexible blade impeller hub, 602 is a flexible blade, and 603 is a circular ring structure. The upstream surface of the blade is a convex curved surface, and the back surface is a concave curved surface. The lower part of the blade is provided with a circular ring structure, the circular ring is arranged at a position close to the root part in the middle of the blade, the deformation of the blade is not obvious under a small flow working condition, and the deformation of the blade under a large flow working condition is increased along with the increase of the flow. Thereby realizing the self-adaptive flexible deformation. Under the working condition that the flow of the water meter is changed repeatedly, the blade is under the action of dynamic load. On the basis of considering the allowable bending stress of the material, the blade needs to be further reinforced. However, the weight of the impeller is increased and the starting flow is reduced due to the thickening of the blades; the flexible characteristic of the blade is lost, the error dispersion degree is increased, and therefore, the circular ring structure is introduced to strengthen the blade. As shown in fig. 7, the water flow impact point is located near the trailing edge of the vane in a rotary wing water meter. In general, the bending moment experienced by the blade increases from the trailing edge of the blade towards the root of the blade. The ring structure is arranged in the middle close to the root position, so that the flexible characteristic is kept, and meanwhile, the blade is effectively enhanced.
The water meter impeller cannot be developed for a single operating point and therefore a first model of the flexible blade impeller can be derived based first on the impeller parameters of the rigid straight blade impeller as shown in figure 3. Firstly, selecting an initial inlet angle alpha and an initial outlet angle beta, giving a feasible parameter range, determining an optimal parameter by using a multi-parameter optimization algorithm, obtaining a target blade inlet angle and a target blade outlet angle, and then adding a circular ring structure below the blades to obtain a second model of the flexible blade impeller.
In practical applications, simulation analysis shows that the pressure loss of the water meter increases with the bending degree of the impeller. While the computational cost increases with increasing range of optimization parameters. And in consideration of pressure loss and calculation cost, alpha = 45-60 degrees and beta = 45-60 degrees can be selected as upper and lower limits of optimization parameters. After optimization calculation and rounding of the obtained candidate result, it is determined that α is 52.5 ° and β =52.5 °. Then, a circular ring is arranged at the bottom of the blade, the thickness is 1mm, the inner diameter is 10mm, and the outer diameter is 22mm. The coverage range is from the position close to the hub in the middle of the blade to the edge of the hub.
Through the steps, the inlet angle and the outlet angle of the flexible blade are scientifically optimized, the rigid straight blade can be optimized into the flexible blade on the premise that parameters such as the outer diameter of an impeller, the diameter of a hub, the height of the blade and the number of the blade are not changed, and the measuring accuracy of the water meter is improved and measuring errors are reduced by matching with a circular ring structure below the blade.
Based on the steps a), b), c) and d), the step c) may specifically include the following steps:
and e), carrying out CFD analysis on the first model to obtain a first error value of the first model at the minimum flow point, a second error value of the first model at the boundary flow point and a third error value of the first model at the maximum flow point.
And f), carrying out difference on the first error value, the second error value and the third error value in pairs, and determining the inlet angle and the outlet angle of the target blade by taking the minimum value of the maximum difference value as an optimization target.
For example, the inlet angle α and the outlet angle β may be used as optimization parameters, the minimum difference of the errors (considering the minimum flow point, the boundary flow point and the maximum flow point) is used as an optimization target, and the proper inlet angle α and outlet angle β (assuming the blade is rigid when performing the CFD analysis) are determined by using a multi-parameter direct optimization algorithm (or other optimization algorithms) and a CFD analysis combined method, that is, the target blade inlet angle and the target blade outlet angle.
It should be noted that the direct optimization algorithm may generate a plurality of optimization parameter combinations according to the given upper and lower limits of the optimization parameters. Then, three-dimensional modeling software is called to generate an impeller geometric model, and then a calculation domain model is further generated. And then, calling numerical analysis software to perform simulation analysis on the calculation domain model, and outputting data of an optimization target and a limiting condition. The direct optimization algorithm can narrow the upper and lower limits of the optimization parameters according to the obtained simulation data. Repeating the steps until the upper and lower limit ranges are less than a given value. At this point, the direct optimization algorithm gives a candidate parameter combination. And adjusting (e.g. rounding) the parameter value according to the actual requirement to obtain the required impeller parameter.
And performing CFD analysis on the first model by using the system to obtain a first error value of the first model at the minimum flow point, a second error value of the first model at the boundary flow point and a third error value of the first model at the maximum flow point, and performing difference on the first error value, the second error value and the third error value in pairs. And then, determining a target blade inlet angle and a target blade outlet angle by taking the minimum maximum difference as an optimization target, and enabling the blade model corresponding to the target blade inlet angle and the target blade outlet angle obtained through optimization to be optimal values, so that the optimization effect is improved.
Based on the above steps a), b), c) and d), after the above step d), the method may further comprise the steps of:
and g), carrying out CFD analysis on the second model to obtain the blade load of the second model at the maximum flow point.
And h) determining the maximum bending stress of the blade of the second model based on the blade load.
And i), optimizing the thickness of the blades of the second model based on the maximum bending stress of the blades to obtain a third model of the flexible blade impeller.
Illustratively, as shown in fig. 8, (a) is a blade load simulation diagram on the optimized rear impeller model, (b) is a stress distribution simulation diagram on the optimized rear impeller model, and (c) is a blade type variable simulation diagram on the optimized rear impeller model. The system can firstly carry out maximum flow point blade load simulation calculation on the impeller model, and output the blade load (CFD analysis result) of the flexible blade impeller at the maximum flow point to the finite element analysis of the next step. And then the system carries out finite element analysis on the flexible blade impeller to obtain the maximum bending stress, and further optimizes the blade thickness to determine the new blade thickness according to the allowable bending stress.
In practical application, an impeller model can be constructed according to selected parameters, CFD analysis is carried out at the maximum flow point, and blade loads are output to finite element analysis. And determining the thickness of the blade to be 1.5mm according to the bending stress calculated and the allowable bending stress of the material.
And CFD analysis is carried out on the second model through the system to obtain the blade load of the second model at the maximum flow point, then the maximum bending stress of the blades of the second model is determined based on the blade load, and the thickness of the blades of the second model is optimized based on the maximum bending stress of the blades to obtain a third model of the flexible blade impeller. Through the steps, the flexible blade impeller is further optimized in sequence, so that the corresponding water meter is higher in detection precision, and the error difference of different flow points is smaller.
Based on the step g), the step h) and the step i), the step S130 may specifically include the following steps:
and j), obtaining an impeller entity based on the third model of the flexible blade impeller.
And k), carrying out flow performance test on the impeller entity to obtain an error curve corresponding to the impeller entity.
Illustratively, it is difficult to consider the effect of frictional resistance due to CFD analysis. Therefore, for the optimized impeller model, the experimental error value under the actual working condition under the small flow working condition is generally smaller than the simulation result. In order to verify the effect of the optimized design, the impeller entity needs to be processed and subjected to a flow performance test, so as to obtain an error curve corresponding to the impeller entity as shown in fig. 9.
Based on the step j) and the step k), after the step k), the method may further include the steps of:
and step l), if the error curve does not meet the maximum allowable error requirement, carrying out optimization design again based on the impeller parameters of the third model.
Illustratively, the new impeller is tested for flow performance to obtain an error curve. For a secondary precision cold water meter, the national standard requires that the absolute value of the error of a small-flow working condition is less than 5 percent, and the absolute value of the error of a large-flow working condition is less than 2 percent. The error curve can be translated up and down by the adjustment device. In contrast to the standard, if the optimized water meter entity meets the maximum allowable error requirement, no secondary adjustment is required. If not, the optimization design needs to be carried out again.
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 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 being connected by the bus 1003; the processor 1001 is used to execute executable modules, such as computer programs, stored in the memory 1002.
The Memory 1002 may include a high-speed Random Access Memory (RAM) and may further include a Non-volatile Memory (Non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 1004 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The bus 1003 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 10, but this does not indicate only one bus or one type of bus.
The memory 1002 is used for storing a program, and the processor 1001 executes the program after receiving an execution instruction, and the method performed by the apparatus defined by the flow procedure disclosed in any of the embodiments of the present invention may be applied to the processor 1001, or implemented by the processor 1001.
The processor 1001 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 1001. The Processor 1001 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, etc. as is well known in the art. The storage medium is located in the memory 1002, and the processor 1001 reads the information in the memory 1002 and performs the steps of the method in combination with the hardware.
The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, and instructions included in the program code may be used to execute the method in the foregoing method embodiment, and specific implementation may refer to the foregoing method embodiment, which is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the following descriptions are only illustrative and not restrictive, and that the scope of the present invention is not limited to the above embodiments: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. An optimal design method for a water meter impeller is characterized by comprising the following steps:
obtaining impeller parameters of a rigid straight blade impeller to be optimized;
optimizing the rigid straight blade impeller to a flexible blade impeller based on the impeller parameters;
performing a flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller;
and if the error curve meets the maximum allowable error requirement, finishing the optimal design of the rigid straight blade impeller to be optimized.
2. The method of claim 1, wherein the impeller parameters include any one or more of:
impeller outer diameter, hub diameter, blade height, blade count, and blade thickness.
3. The method according to claim 2, wherein the flexible blade impeller is a single arc airfoil with a ring structure disposed below the blades; said optimizing said rigid straight bladed impeller to a flexible bladed impeller based on said impeller parameters, comprising:
obtaining a first model of the flexible blade impeller based on the impeller parameters;
setting a blade inlet angle, a blade outlet angle and an angle change range of the first model;
optimizing the blade inlet angle and the blade outlet angle based on the angle change range to obtain a target blade inlet angle and a target blade outlet angle;
and obtaining a second model of the flexible blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameters and the ring structure.
4. The method of claim 3, wherein the optimizing the blade inlet angle and the blade outlet angle based on the angle variation range to obtain a target blade inlet angle and a target blade outlet angle comprises:
performing CFD analysis on the first model to obtain a first error value of the first model at a minimum flow point, a second error value of the first model at a boundary flow point and a third error value of the first model at a maximum flow point;
and performing difference on the first error value, the second error value and the third error value in pairs, and determining a target blade inlet angle and a target blade outlet angle by taking the minimum maximum difference value as an optimization target.
5. The method of claim 3, further comprising, after said deriving a second model of the flexible blade impeller based on the target blade inlet angle, the target blade outlet angle, the impeller parameters, and the torus structure:
performing CFD analysis on the second model to obtain the blade load of the second model at the maximum flow point;
determining a maximum blade bending stress of the second model based on the blade load;
and optimizing the thickness of the blades of the second model based on the maximum bending stress of the blades to obtain a third model of the flexible blade impeller.
6. The method of claim 5, wherein the performing a flow performance test on the flexible blade impeller to obtain an error curve corresponding to the flexible blade impeller comprises:
obtaining an impeller entity based on a third model of the flexible blade impeller;
and carrying out a flow performance test on the impeller entity to obtain an error curve corresponding to the impeller entity.
7. The method according to claim 6, after the performing the flow performance test on the impeller entity to obtain the error curve corresponding to the impeller entity, further comprising:
and if the error curve does not meet the maximum allowable error requirement, performing optimization design again based on the impeller parameters of the third model.
8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 7 when executing the computer program.
9. A computer readable storage medium having stored thereon computer executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 7.
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