Experimental Research and Numerical Simulation of On-Line Verification of Liquid Flow Meters

Abstract: On-line verification experiment research and numerical simulation information of liquid flow meter are provided by excellent flow meter and flow meter manufacturers and quotation manufacturers. According to the principle of Computational Fluid Dynamics (CFD), the numerical simulation of different pipeline conditions is carried out to analyze the distribution of the flow field in the pipeline, and through the comparison of the results of the actual flow test and the CFD numerical simulation test, the factors affecting the verification results of the online flowmeter are discussed. . . More flowmeter manufacturers choose models and price quotations. You are welcome to inquire. The following is the details of the online verification experimental research and numerical simulation of liquid flowmeters. According to the principle of Computational Fluid Dynamics (CFD), the numerical simulation of different pipeline conditions is carried out to analyze the distribution of the flow field in the pipeline, and through the comparison of the results of the actual flow test and the CFD numerical simulation test, the factors affecting the verification results of the online flowmeter are discussed. . The application of CFD technology to on-site online flow meter verification can optimize the verification results and ensure the reliability of the data, thereby better solving the problem of traceability of some flow meters that cannot be verified offline. 0 Introduction Liquid flow meter is an indispensable measuring instrument in industrial production, trade settlement, energy saving and emission reduction, and is listed in the national compulsory verification measuring instrument catalog. In the follow-up verification, it is often necessary to test the flowmeter offline, and some users cannot stop the flow due to continuous production, so that some flowmeters in use cannot be disassembled in time and verified on a periodic basis, and the accuracy is difficult to confirm. At the same time, it is very troublesome to disassemble and transport the large-diameter flowmeter for inspection. To this end, most companies are equipped with portable ultrasonic flowmeters for online self-calibration and self-checking. In addition, many legal metrology institutions also use portable ultrasonic flowmeters for online verification in their daily work. However, in the process of use, the field working conditions of the ultrasonic flowmeter are very different from the working conditions calibrated in the laboratory, and the accuracy deviates to a certain extent. In order to solve the above problems, according to the principle of Computational Fluid Dynamics (CFD for short), the numerical simulation of different pipeline conditions is carried out, and the distribution results of the flow field in the pipeline are obtained. By comparing the on-site verification data under some installation conditions with the flow field numerical simulation data, the parameters that affect the verification results of the online liquid flowmeter are further discussed and their influences are evaluated. It is hoped that the verification results can be optimized and the reliability of the data can be ensured by using the method of numerical simulation. 1 Real-flow field test 1.1 Test scheme The test uses a 1.0-level external clip-on ultrasonic flowmeter, and all tests are set in DN100 pipeline and the medium is water . Under the condition of flow rate of 100m3/h, the measurement results are compared with the standard table of 0.2-level electromagnetic flowmeter. The measurement data is 6 times as a group, of which the front straight pipe section of the 1~8 data group is greater than 15D. (1) Reproducibility Measure the error and repeatability of the ultrasonic flowmeter on the stainless steel pipe, and measure a set of data. Under the same operator and the same installation conditions, the reproducibility test of the ultrasonic flowmeter was carried out, and two sets of data were measured. Three sets of data were combined and compared. (2) Pipe wall influence After the last test of test 1 is completed, the data obtained are used as the basic data. There is no need to reassemble and disassemble the ultrasonic flowmeter, only change the wall thickness parameters, and measure two sets of data. (3) Influence of lining Install carbon steel short pipes with four different linings (a no lining with a small amount of rust, b mortar, c paint, d PTFE) to DN100 stations, and compare different lining conditions measurement results below. Each set of data (100m3/h flow point) is measured, and if there is no signal, it will be discarded as appropriate. (4) The flow field affects the ultrasonic flowmeter under different pipeline conditions including regulating valve (such as ball valve) and elbow, compare the measurement results. 1.2 Analysis of test data 1: The influence of repeatability and reproducibility of ultrasonic flowmeter on online verification. The data (1~3) are obtained by the same person under the same measurement conditions: the repeatability of the three groups is less than 0.2% to meet the requirements, but the error value of the repeated disassembly and assembly of the three groups at the same measurement point differs by nearly 0.4%, which is relative to 1.0 The standard table of grades cannot be ignored. Therefore, when installing the ultrasonic flowmeter for online verification, the operator must be careful and careful, and install it in accordance with the operating rules and ultrasonic use requirements. At the same time, the average value of 0.17% of the three groups of test data was taken as the error reference standard value. Analysis 2: The influence of pipe wall thickness and inner diameter parameters on online detection. Test (3) and data (4) reflect that the reliability of the pipe wall thickness data should be ensured as far as possible when measuring and setting the pipe wall thickness. In data (4), the wall thickness is reduced by 0.5mm, and the measurement result is shifted by 0.37%; and when the wall thickness value or inner diameter difference exceeds 1mm, the ultrasonic flowmeter prompts“Poor signal or wrong parameters”, the displayed flow rate of about 300m3/h far exceeds the standard value. Analysis 3: Influence of pipeline lining on online verification. In the test, four carbon steel short pipes with different linings were installed respectively. Since PTFE has no signal, three sets of data were obtained on the spot as data (5~7). It can be seen from the data that the measurement results of carbon steel pipes without lining with a small amount of rust and paint lining are consistent with the measurement results of stainless steel pipes, while the measurement results of carbon steel mortar lined pipes are offset by 0.60%. After analysis of multiple sets of tests, the reason is that the mortar contains air bubbles or impurities when lining. Data (8) is the test data of using asphalt parameters for mortar lining, that is, the misuse of lining parameters. However, the resulting data is closer to the reference standard value, offset by 0.66% than the measured results of the parameters of the mortar lining. Therefore, the selection of lining parameters and the actual situation of the lining are very important for online detection.

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