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Big data flowmeter development method based on computational fluid mechanics

A computational fluid dynamics and flowmeter technology, applied in computer-aided design, calculation, electrical digital data processing, etc., can solve problems such as poor use effect, poor reliability and stability of flowmeter, long development cycle, etc., to ensure reliability and stability, shorten the development cycle, and reduce the development cost

Active Publication Date: 2018-07-13
NANJING HANHUA FLUID TECH CO LTD
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AI Technical Summary

Problems solved by technology

The development cycle of this traditional flowmeter development method is long, and it is necessary to cooperate with a real-flow calibration device to test the performance of the flowmeter, which consumes a high cost and a huge investment in manpower, material and financial resources; moreover, the designed flowmeter Poor reliability and stability, affecting the accuracy of measurement, poor use effect

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  • Big data flowmeter development method based on computational fluid mechanics
  • Big data flowmeter development method based on computational fluid mechanics
  • Big data flowmeter development method based on computational fluid mechanics

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Embodiment Construction

[0045] The specific steps of the present invention are described in detail. The computational fluid dynamics-based big data flowmeter development method includes:

[0046] Step 1. Design a flowmeter that can be processed. Only if the size of the flowmeter is designed reasonably, can it be processed; if the design is unreasonable, it cannot be processed, and the meaning of the design will be lost.

[0047] For example, a differential pressure flowmeter will be described as an example. In the initial design process of the differential pressure flowmeter, parameters such as the size of the center hole, the size of the satellite hole, the diameter of the circle where the satellite hole is located, the distance between the satellite holes, the area of ​​the satellite hole and the center hole, and the cross-sectional area of ​​the corresponding installation pipe are involved. . In the specific design process, it is necessary to ensure that the final results of these parameters can ...

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Abstract

The invention discloses a big data flowmeter development method based on computational fluid mechanics and solves the problems that traditional flowmeter development methods are long in development cycle and high in cost consumption, the reliability and stability of flowmeters designed by the traditional flowmeter development methods are poor, the measurement accuracy is influenced, and the use effect is poor. The method relies on computational fluid mechanics, and by conducting numerical simulation analysis of computational fluid mechanical characteristics on flowmeters different in type, a performance law of the flowmeters is obtained; an optimal flowmeter is selected for shaping design and processing, and then with assistance of real flow calibration for correcting, an industrial flowmeter with stable performance is obtained. The method can not only greatly shorten the development cycle of the flowmeters but also save expenses for a real flow calibration process; the design range ofthe flowmeters can be enlarged, the reliability and stability of the flowmeters are ensured to a greater extent, and the development cost of the flowmeters is remarkably reduced.

Description

technical field [0001] The invention belongs to the technical field of instruments and meters, and in particular relates to a large data flowmeter development method based on computational fluid dynamics, which can shorten the development period, has a wide design range, low development cost, high reliability and good stability of the flowmeter. Background technique [0002] At present, the development process of industrial differential pressure flowmeters is generally as follows: first design the type of flowmeter, and then process according to the design results; then, carry out trial and data collection on the actual gas calibration device or liquid calibration device. Afterwards, the calibrated data is fed back to the designer; the product is optimized and improved, reprocessed, and real-flow calibration is performed again. Repeat the steps of optimization and improvement, processing and real-flow calibration until the performance of the product is relatively stable, and...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20G06F2119/06
Inventor 高玉娟
Owner NANJING HANHUA FLUID TECH CO LTD
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