Data integration for multi-path ultrasonic flowmeter based on Levenberg–Marquardt algorithm

PROJECT TITLE :

Data integration for multi-path ultrasonic flowmeter based on Levenberg–Marquardt algorithm

ABSTRACT:

Ultrasonic flowmeters have potential for wide application in natural gas and hydrogen flow measurements in China. Accurate measurement is important; thus, knowledge fusion of acoustic methods is of importance. A knowledge integration methodology for multi-path flowmeter measurement is introduced and investigated in this study. The novel data integration methodology is predicated on the Levenberg–Marquardt algorithm. Computational fluid dynamics has been used to simulate the flows, and a laboratory scale system was established to get experimental measurements. The results of the simulations and experiments reveal that the strategy is able to cut back measurement error compared with four traditional integration strategies in flow-rate measuring in an exceedingly long straight pipe. Furthermore, both the simulation and experiment results validate the mixing technique for non-ideal flow conditions, such as flow downstream a single elbow or a one hundred eighty° bend. The relative errors are at intervals one%, rather than additional than 2percent, that is typical for ancient methods.

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