Abstract In order to apply the Coriolis mass flowmeter with micro-bending and high frequency sensor to the urea machine, the signal model of the Coriolis mass flow sensors filling process is established according to the flow signal data collected in the field of the enterprise. Based on the above model, the error causes of the existing digital signal processing algorithms are analyzed, and the algorithm is improved from the perspective of dynamic response speed, so as to meet the needs of urea machine measurement. The real-time algorithm is realized on the Coriolis mass flow transmitter based on DSP, and the water flow calibration experiment and filling machine calibration are carried out. The measurement error is less than 0.1% and the repeatability error is less than 0.05%.
LIU Chen-ci,XU Ke-jun,HUANG Ya. Signal Processing of High Frequency Microbend Coriolis Mass Flowmeter for Urea Filling Machine[J]. Acta Metrologica Sinica, 2022, 43(6): 766-775.
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2022, Vol. 43 
