A method of optimizing a turbine flowmeter impeller

Abstract

This invention belongs to the field of flowmeter technology and discloses a method for optimizing the impeller of a turbine flowmeter. The method includes: S1: collecting data on the physical properties, operating range, and performance indicators of the medium through a system to establish clear design constraint data; S2: integrating streamlined and multi-lead design concepts, and determining the blade structural parameters through mathematical modeling and simulation analysis; S3: ensuring precise matching between the processing process and design objectives through parameter modeling, accuracy threshold setting, process coordination, and data linkage; S4: manufacturing an impeller prototype based on the processing technology, and calibrating the blade size and angle parameters using equipment; S5: verifying linearity and starting flow rate indicators through data acquisition and analysis, and iteratively optimizing design and processing parameters; S6: establishing a large-scale batch production process based on the optimized final parameters. This invention solves the problems of large starting flow rate, poor linearity, and insufficient consistency of metering accuracy in turbine flowmeters under low Reynolds number conditions.

Description

Technical Field

[0001] This invention relates to the field of flow meter technology, and more specifically, to a method for optimizing the impeller of a turbine flow meter. Background Technology

[0002] Turbine flow meters are core equipment in the field of flow measurement. Their working principle is based on the impact of fluid on the blades, which drives the impeller to rotate. The fluid flow rate is calculated by detecting the rotation speed. With its simple structure and stable operation, it is widely used in many key fields such as industrial production, energy metering, and fluid transportation. It provides reliable data support for flow monitoring, process control, and energy consumption statistics. It is an important technical equipment for ensuring production efficiency, optimizing resource allocation, and ensuring the safe operation of the system. It occupies an irreplaceable position in modern chemical industry, energy supply, municipal engineering and other industries.

[0003] Traditional turbine flow meters have significant limitations in design and manufacturing processes, failing to adequately adapt to complex flow characteristics. This results in poor performance under specific operating conditions. Their blade structure design is not specifically optimized, leading to high starting flow rates and difficulty in accurately capturing small flow rate changes. The linear relationship between impeller speed and flow rate is easily affected by operating conditions, resulting in large measurement errors. Furthermore, traditional manufacturing methods cannot guarantee the consistency of key blade parameters, leading to significant performance differences between different products and a decline in accuracy and stability after long-term use. Existing improvement solutions often focus on single-dimensional adjustments, failing to achieve synergistic optimization of structural design and manufacturing processes. This makes it difficult to fundamentally solve the above problems and meet the ever-increasing demands for high-precision, wide-range flow measurement.

[0004] In view of this, the present invention proposes a turbine flow meter impeller optimization method to solve the above problems. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art and to achieve the above objectives, the present invention provides the following technical solution, wherein the method includes: S1: By collecting data on the physical properties of the medium, operating conditions, and performance indicators through the system, clear design constraint data is established to provide accurate and reliable data support for subsequent blade structure design, ensuring that the design scheme is highly matched with the actual application scenario and laying the foundation for overall optimization. S2: Based on preprocessed parameters, the design concepts of streamline and multi-lead are integrated, and the blade structure parameters are determined through mathematical modeling and simulation analysis. The two work together to reduce fluid resistance, optimize kinetic energy transfer, and improve response sensitivity, forming an integrated blade design scheme that is suitable for low Reynolds number conditions. S3: Based on the blade structure design parameters, a standardized system is built. Through parameter modeling, accuracy threshold setting, process collaboration and data linkage, the processing process is ensured to be accurately matched with the design goals, avoiding individual differences and performance fluctuations, and providing system support for the consistency and stability of mass production. S4: Based on the processing technology, manufacture impeller prototypes and use high-precision testing equipment to fully calibrate the blade dimensions and angle parameters; by eliminating processing errors and rejecting unqualified prototypes, ensure that the structural parameters of each prototype meet the design standards, and provide reliable samples for subsequent performance testing; S5: Through data collection and analysis, verify linearity and starting flow rate indicators. For problems found in the test, iteratively optimize design and processing parameters to continuously improve the overall performance of the impeller until the design goal is achieved. S6: Based on the optimized final parameters, build a large-scale batch production process and establish a full-process quality control system; through unified production standards, sampling inspection and traceability management, ensure the performance consistency and stability of batch products to meet the batch supply needs of industrial applications; Further, step S1 includes: The density and dynamic viscosity of the measured medium are obtained through laboratory testing, and the Reynolds number range is set to [100, 500,000] to cover the core scenario of small flow rate measurement. At the same time, the flow rate measurement range is defined, with a standard range ratio of 10:1 and a wide range ratio of 20:1 to meet different application requirements. Based on this, the impeller structure size constraints are set, including a maximum outer diameter range of [15, 100] mm, a hub diameter greater than or equal to 7 mm, and a blade height of half the difference between the maximum outer diameter and the hub diameter. It is also specified that the linearity error is less than or equal to 0.2% and the starting flow rate is less than or equal to 0.5 cubic meters per hour. Further, step S2 includes: S2.1: Establish mathematical equations for the streamlined surface of the blade to accurately describe the geometric morphology of the streamlined surface of the blade, provide a data model for CFD simulation and manufacturing, and reduce fluid resistance and improve fluid throughput under low Reynolds number conditions by adjusting the coefficients; at the same time, construct a three-dimensional basic model; S2.2: By simulating the fluid drag coefficient under different parameter combinations using CFD software, the fluid drag damage is calculated, and the influence of streamline design on fluid drag is quantified, providing a quantitative basis for blade profile parameter optimization. Based on this, the parameter with the minimum drag loss is selected as the optimal parameter after 1000 iterations. S2.3: Set the lead number to 50 and the lead angle to 45 degrees, calculate the fluid velocity at different radial positions to reflect the variation of fluid velocity with radial position under low Reynolds number conditions. Simultaneously, simulate the impeller speed under different parameters, quantify the relationship between flow rate, lead number and impeller speed, provide a basis for multi-lead parameter optimization, and integrate streamline shape and multi-lead design parameters to output a complete three-dimensional blade model, ensuring that the structure and fluid dynamics characteristics are compatible. Further, step S3 includes: Set processing accuracy control thresholds, specifying that the dimensional deviation is less than or equal to 0.01 mm, the angular deviation is less than or equal to 0.1 degrees, and the surface roughness is less than 0.02 micrometers. After processing, collect the overall dimensional accuracy, angular deviation, and surface roughness of the impeller. If the collected data exceeds the set threshold, it is judged as unqualified. If the collected data meets the set threshold, it is judged as a qualified prototype. Record the processing parameters and test data of the qualified impeller prototype to ensure the replicability and traceability of mass production. Further, step S4 includes: The maximum outer diameter and hub diameter are measured using a coordinate measuring machine with a measurement accuracy of less than or equal to 0.01 mm. The absolute value between the measured value and the design value is calculated to obtain the dimensional deviation. If the dimensional deviation is less than or equal to 0.01 mm, it is judged as a qualified prototype. If it is greater than 0.01 mm, it is judged as a non-qualified prototype, and it is reprocessed and calibrated. Further, step S5 includes: S5.1: Based on the standard and wide measuring ranges, five test points are selected within each range to ensure coverage of the entire range from low flow rate to rated flow rate. Simultaneously, the number of output pulses and standard mass are recorded, and the instrument coefficient is calculated as a core indicator for evaluating flow measurement accuracy. Based on the instrument coefficient, linearity error is calculated to quantify the impeller's linear performance across the entire measuring range, providing feedback for blade structure parameter optimization and ensuring stable measurement accuracy at different flow points. Simultaneously, the flow rate is gradually reduced to the minimum flow value at which the impeller stops rotating, and this value is measured as the starting flow rate. S5.2: When the linearity error is greater than 0.2% and the starting flow rate is greater than 0.5 cubic meters per hour, correct the streamline parameters to further reduce the drag loss; remanufacture the impeller prototype according to the adjusted parameters until the linearity error is less than or equal to 0.2% and the starting flow rate is less than or equal to 0.5 cubic meters per hour, and solidify the processing parameters. Further, step S6 includes: During processing, the maximum outer diameter and processing accuracy are sampled and tested to adjust equipment parameters in a timely manner. At the finished product stage, the instrument coefficient and linearity error are tested on each piece, and the performance deviation of a single product is calculated. The specific calculation formula is as follows: The instrument coefficient deviation was obtained. ,in, For the first The instrument coefficient of each product is determined; if the deviation of the instrument coefficient is less than or equal to 0.2%, it is considered qualified; otherwise, it is considered unqualified. Unqualified products are isolated and the reasons are analyzed.

[0006] The technical effects and advantages of the turbine flow meter impeller optimization method of the present invention are as follows: This invention systematically addresses the measurement pain points of traditional turbine flowmeters under specific operating conditions by integrating a full-process technical solution encompassing condition-adaptive design, structural collaborative optimization, precision machining implementation, prototype calibration and verification, performance iteration improvement, and batch quality control management. This significantly improves the accuracy, stability, and applicability of flow measurement. Its core function lies in the synergistic empowerment of multiple stages: First, by systematically collecting key information such as media properties, operating range, and environmental conditions, a scientific design constraint model is established, providing a foundation for subsequent optimization that fits the actual application scenario, ensuring the solution's relevance and feasibility. Second, by integrating streamlined and multi-lead integrated design concepts, the surface morphology and radial angle distribution of the blades are optimized, effectively reducing resistance loss during fluid flow and improving the conversion efficiency of fluid kinetic energy to impeller rotational kinetic energy, adapting to flow characteristics under low kinetic energy conditions. Third, through the implementation of ultra-precision integrated machining technology, the gap and tolerance problems caused by separate assembly are eliminated, ensuring the accuracy of impeller structural dimensions and structural strength, thus providing a reliable and efficient flow measurement solution. This system ensures a consistent and robust technological foundation. Rigorous prototyping and precision calibration processes eliminate substandard samples caused by manufacturing errors, guaranteeing a high degree of conformity between test samples and design standards. Through multi-range, multi-test-point performance testing and iterative parameter optimization, key design and manufacturing parameters are precisely adjusted to continuously improve linearity, reduce starting flow, and enhance measurement repeatability, ensuring core performance indicators fully meet high-precision measurement requirements. Finally, standardized mass production processes and a comprehensive quality control system regulate production processes and unify product standards, reducing individual product performance differences and guaranteeing long-term stability and reliability, while enabling large-scale application. The entire technical solution forms a complete closed loop from design to mass production, effectively overcoming the limitations of traditional technologies in specific operating conditions. It provides a solution for flow measurement that combines high sensitivity, high consistency, and wide adaptability, suitable for various application scenarios with stringent requirements for measurement accuracy and stability, demonstrating significant technical value and practical significance. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of a turbine flow meter impeller optimization method according to the present invention. Detailed Implementation

[0008] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0009] Example 1 Please see Figure 1 As shown in this embodiment, a turbine flow meter impeller optimization method includes: S1: By collecting data on the physical properties of the medium, operating conditions, and performance indicators through the system, clear design constraint data is established to provide accurate and reliable data support for subsequent blade structure design, ensuring that the design scheme is highly matched with the actual application scenario and laying the foundation for overall optimization. S2: Based on preprocessed parameters, the design concepts of streamline and multi-lead are integrated, and the blade structure parameters are determined through mathematical modeling and simulation analysis. The two work together to reduce fluid resistance, optimize kinetic energy transfer, and improve response sensitivity, forming an integrated blade design scheme that is suitable for low Reynolds number conditions. S3: Based on the standardization of blade structure design parameters, through parameter modeling, accuracy threshold setting, process collaboration and data linkage, it ensures that the processing process and design goals are accurately matched, avoids individual differences and performance fluctuations, and provides system support for the consistency and stability of mass production. S4: Based on the processing technology, manufacture impeller prototypes and use high-precision testing equipment to fully calibrate the blade dimensions and angle parameters; by eliminating processing errors and rejecting unqualified prototypes, ensure that the structural parameters of each prototype meet the design standards, and provide reliable samples for subsequent performance testing; S5: Through data collection and analysis, verify linearity and starting flow rate indicators. For problems found in the test, iteratively optimize design and processing parameters to continuously improve the overall performance of the impeller until the design goal is achieved. S6: Based on the optimized final parameters, build a large-scale batch production process and establish a full-process quality control system; through unified production standards, sampling inspection and traceability management, ensure the performance consistency and stability of batch products to meet the batch supply needs of industrial applications; The core of this invention lies in solving the key pain points of turbine flow meters under low Reynolds number conditions through the innovative integration of streamlined, variable normal, and multi-lead collaborative design with ultra-precision integrated machining technology. The streamlined design reduces fluid resistance, the variable normal layout adapts to different radial fluid flow characteristics, and the multi-lead structure improves the response sensitivity at low flow rates. These three elements work together to optimize the interaction between the impeller and the fluid. At the same time, the integrated machining process eliminates the errors and gaps of the split structure, ensuring the consistency and stability of the impeller structural parameters. Through the deep cooperation between design and process, the starting flow rate is fundamentally reduced, linearity is improved, and the consistency of metering accuracy is enhanced, achieving accurate and reliable flow measurement under low Reynolds number conditions. Furthermore, step S1 includes: The density and dynamic viscosity of the measured medium are obtained through laboratory testing, and the Reynolds number range is set to [100, 500,000] to cover the core scenario of small flow rate measurement. At the same time, the flow rate measurement range is defined, with a standard range ratio of 10:1 and a wide range ratio of 20:1 to meet different application requirements. Based on this, the impeller structure size constraints are set, including a maximum outer diameter range of [15, 100] mm, a hub diameter greater than or equal to 7 mm, and a blade height of half the difference between the maximum outer diameter and the hub diameter. It is also specified that the linearity error is less than or equal to 0.2% and the starting flow rate is less than or equal to 0.5 cubic meters per hour. Furthermore, step S2 includes: S2.1: Establish the mathematical equation for the streamlined surface of the blade, the specific formula is as follows: ,in, Let be the longitudinal coordinate of the stressed side surface of the blade. Let be the lateral coordinate of the stressed side surface of the blade. The curvature coefficient, The slope coefficient, The intercept is used to accurately describe the geometry of the streamlined surface of the blade, providing a data model for CFD simulation and manufacturing. Adjusting the coefficients can reduce fluid resistance and improve fluid throughput under low Reynolds number conditions. Initial parameter values ​​are also set. , and Construct a three-dimensional basic model; S2.2: The fluid drag coefficient under different parameter combinations is simulated using CFD software to calculate the fluid drag loss. The specific calculation formula is as follows: To obtain resistance loss ,in, To measure the density of the medium, The velocity of the fluid flowing across the blade surface. The area of ​​the blade under stress. The fluid drag coefficient is used; the calculation formula is used to quantify the impact of streamline design on fluid drag, providing a quantitative basis for blade profile parameter optimization; based on this, the iteration step size is set. , and After 1000 iterations, the parameter with the minimum resistance loss is selected as the optimal parameter. S2.3: Set the lead number to 50 and the lead angle to 45 degrees, calculate the fluid velocity at different radial positions. The specific calculation formula is as follows: , to obtain radial distance The fluid velocity at that location, For design traffic, Radial distance, The blade width is used, and all parameters in the calculation formula are of uniform dimensions to reflect the variation of fluid velocity with radial position under low Reynolds number conditions. Simultaneously, it simulates the impeller speed under different parameters. The specific calculation formula is as follows: To obtain the impeller speed ,in, For the number of leads, The maximum outer diameter of the impeller is used; the calculation formula is used to quantify the relationship between flow rate, number of leads and impeller speed, providing a basis for multi-lead parameter optimization, and integrating streamline shape and multi-lead design parameters to output a complete three-dimensional blade model, ensuring that the structure and fluid dynamics characteristics are compatible. Furthermore, step S3 includes: Set processing accuracy control thresholds, specifying that the dimensional deviation is less than or equal to 0.01 mm, the angular deviation is less than or equal to 0.1 degrees, and the surface roughness is less than 0.02 micrometers. After processing, collect the overall dimensional accuracy, angular deviation, and surface roughness of the impeller. If the collected data exceeds the set threshold, it is judged as unqualified. If the collected data meets the set threshold, it is judged as a qualified prototype. Record the processing parameters and test data of the qualified impeller prototype to ensure the replicability and traceability of mass production. Furthermore, step S4 includes: The maximum outer diameter and hub diameter are measured using a coordinate measuring machine with a measurement accuracy of less than or equal to 0.01 mm. The absolute value between the measured value and the design value is calculated to obtain the dimensional deviation. If the dimensional deviation is less than or equal to 0.01 mm, it is judged as a qualified prototype. If it is greater than 0.01 mm, it is judged as a non-qualified prototype, and it is reprocessed and calibrated. Furthermore, step S5 includes: S5.1: Based on the standard and wide measuring ranges, five test points are selected within each range to ensure coverage of the entire range from low flow rate to rated flow rate. Simultaneously, the number of output pulses and standard mass are recorded, and the instrument coefficient is calculated. The specific calculation formula is as follows: To obtain the instrument coefficient ,in, The number of output pulses, Standard quality; the calculation formula is the core indicator used to evaluate the accuracy of flow measurement; the linearity error is calculated based on the instrument coefficient, and the specific calculation formula is as follows: The linearity error was obtained. ,in, The maximum instrument coefficient for all test points. The minimum instrument coefficient for all test points. The average value of the instrument coefficients at all test points is used to quantify the linear performance of the impeller across the entire range, providing feedback for the optimization of blade structure parameters and ensuring stable measurement accuracy at different flow points. Simultaneously, the flow rate is gradually reduced to the minimum flow rate value at which the impeller stops rotating, and this value is measured as the starting flow rate. S5.2: When the linearity error is greater than 0.2% and the starting flow rate is greater than 0.5 cubic meters per hour, correct the streamline parameters to further reduce the drag loss; remanufacture the impeller prototype according to the adjusted parameters until the linearity error is less than or equal to 0.2% and the starting flow rate is less than or equal to 0.5 cubic meters per hour, and solidify the processing parameters. Furthermore, step S6 includes: During processing, the maximum outer diameter and processing accuracy are sampled and tested to adjust equipment parameters in a timely manner. At the finished product stage, the instrument coefficient and linearity error are tested on each piece, and the performance deviation of a single product is calculated. The specific calculation formula is as follows: The instrument coefficient deviation was obtained. ,in, For the first The instrument coefficient of each product; if the deviation of the instrument coefficient is less than or equal to 0.2%, it is judged as qualified; otherwise, it is judged as unqualified, and the unqualified products are isolated and the reasons are analyzed. This embodiment offers the advantage of improving the overall measurement performance of turbine flow meters under low Reynolds number conditions. Through the coordinated design of streamlined and multi-lead flow, the resistance and energy loss of fluid passing through the blades are effectively reduced, enhancing the impeller's response sensitivity to small flow rates. This solves the problem of excessively high starting flow rate in traditional impellers, enabling the flow meter to accurately capture minute flow changes. Addressing the nonlinear flow characteristics of fluids at low Reynolds numbers, a stable correlation between impeller speed and fluid flow rate is established through the coordinated optimization of blade structural parameters, significantly improving measurement linearity and ensuring measurement accuracy across the entire range. Combined with ultra-precision integrated machining technology and standardized machining standards for key structural parameters, the performance differences between individual impellers are effectively reduced, while performance degradation due to wear and structural deviations during long-term use is minimized, significantly improving the consistency and stability of measurement accuracy. The overall solution eliminates the need for complex software compensation or special materials, simplifying structural design and machining processes while expanding the application scenarios of turbine flow meters, reducing usage and maintenance costs, and providing a reliable guarantee for high-precision flow measurement.

[0010] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0011] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the invention. No appended diagram markings in the claims should be construed as limiting the scope of the claims.

[0012] Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in a system claim may also be implemented by a single unit or device through software or hardware. The terms "first," "second," etc., are used to indicate names and do not indicate any specific order.

[0013] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing the impeller of a turbine flow meter, characterized in that, The method includes: S1: By collecting data on the physical properties of the medium, operating conditions, and performance indicators through the system, clear design constraint data is established; S2: Based on preprocessing parameters, integrating streamlined and multi-lead design concepts, the blade structural parameters are determined through mathematical modeling and simulation analysis; S3: Through parameter modeling, accuracy threshold setting, process collaboration and data linkage, ensure that the processing process and design goals are accurately matched; S4: Based on the processing technology, manufacture the impeller prototype and use high-precision testing equipment to fully calibrate the blade size and angle parameters; S5: Through data collection and analysis, verify linearity and starting flow rate indicators, and iteratively optimize design and processing parameters; S6: Based on the optimized final parameters, build a large-scale batch production process and establish a full-process quality control system.

2. The turbine flow meter impeller optimization method according to claim 1, characterized in that, Step S1 includes: The density and dynamic viscosity of the measured medium are obtained through laboratory testing, and the Reynolds number range is set to [100, 500,000]. At the same time, the flow measurement range is defined, with a standard range ratio of 10:1 and a wide range ratio of 20:

1. Based on this, the impeller structure size constraints are set, including a maximum outer diameter range of [15, 100] mm, a hub diameter greater than or equal to 7 mm, and a blade height of half the difference between the maximum outer diameter and the hub diameter. It is also specified that the linearity error is less than or equal to 0.2% and the starting flow rate is less than or equal to 0.5 cubic meters per hour.

3. The turbine flow meter impeller optimization method according to claim 1, characterized in that, Step S2 includes: S2.1: Establish the mathematical equation for the streamlined surface of the blade, the specific formula is as follows: ,in, Let be the longitudinal coordinate of the stressed side surface of the blade. Let be the lateral coordinate of the stressed side surface of the blade. The curvature coefficient, The slope coefficient, This is the intercept; at the same time, initial parameter values ​​are set. , and Construct a three-dimensional basic model; S2.2: The fluid drag coefficient under different parameter combinations is simulated using CFD software to calculate fluid drag damage. The specific calculation formula is as follows: To obtain resistance loss ,in, To measure the density of the medium, The velocity of the fluid flowing across the blade surface. The area of ​​the blade under stress. The fluid resistance coefficient is used; based on this, the iteration step size is set. , and After 1000 iterations, the parameter with the minimum resistance loss is selected as the optimal parameter. S2.3: Set the lead number to 50 and the lead angle to 45 degrees, calculate the fluid velocity at different radial positions. The specific calculation formula is as follows: , to obtain radial distance The fluid velocity at that location, For design traffic, Radial distance, For the blade width, all parameters used in the calculation formula are of uniform dimensions. Simultaneously, the impeller speed is simulated under different parameters. The specific calculation formula is as follows: To obtain the impeller speed ,in, For the number of leads, The maximum outer diameter of the impeller is used; the complete three-dimensional model of the blade is output by integrating streamline and multi-lead design parameters.

4. The turbine flow meter impeller optimization method according to claim 1, characterized in that, Step S3 includes: Set processing accuracy control thresholds, specifying that the dimensional deviation is less than or equal to 0.01 mm, the angular deviation is less than or equal to 0.1 degrees, and the surface roughness is less than 0.02 micrometers. After processing, collect the overall dimensional accuracy, angular deviation, and surface roughness of the impeller. If the collected data exceeds the set threshold, it is judged as unqualified. If the collected data meets the set threshold, it is judged as a qualified prototype.

5. The turbine flow meter impeller optimization method according to claim 1, characterized in that, Step S4 includes: The maximum outer diameter and hub diameter are measured using a coordinate measuring machine with a measurement accuracy of less than or equal to 0.01 mm. The absolute value between the measured value and the design value is calculated to obtain the dimensional deviation. If the dimensional deviation is less than or equal to 0.01 mm, it is judged as a qualified prototype. If it is greater than 0.01 mm, it is judged as a non-qualified prototype, and it is reprocessed and calibrated.

6. The turbine flow meter impeller optimization method according to claim 1, characterized in that, Step S5 includes: S5.1: Based on the standard and wide measuring ranges, five test points are selected within each range to ensure coverage of the entire range from low flow rate to rated flow rate. Simultaneously, the number of output pulses and standard mass are recorded, and the instrument coefficient is calculated. The specific calculation formula is as follows: To obtain the instrument coefficient ,in, The number of output pulses, For standard quality; linearity error is calculated based on instrument coefficients, and the specific calculation formula is as follows: The linearity error was obtained. ,in, The maximum instrument coefficient for all test points. The minimum instrument coefficient for all test points. The average value of the instrument coefficients at all test points is used; at the same time, the flow rate is gradually reduced to the minimum flow rate when the impeller stops rotating, and this value is measured as the starting flow rate. S5.2: When the linearity error is greater than 0.2% and the starting flow rate is greater than 0.5 cubic meters per hour, correct the streamline parameters to further reduce resistance loss; remanufacture the impeller prototype according to the adjusted parameters until the linearity error is less than or equal to 0.2% and the starting flow rate is less than or equal to 0.5 cubic meters per hour, and solidify the processing parameters.

7. The turbine flow meter impeller optimization method according to claim 1, characterized in that, Step S6 includes: During processing, the maximum outer diameter and processing accuracy are sampled and tested to adjust equipment parameters in a timely manner. At the finished product stage, the instrument coefficient and linearity error are tested on each piece, and the performance deviation of a single product is calculated. The specific calculation formula is as follows: The instrument coefficient deviation was obtained. ,in, For the first The instrument coefficient of each product; if the deviation of the instrument coefficient is less than or equal to 0.2%, it is judged as qualified; otherwise, it is judged as unqualified.

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