A novel virtual modelling tool for investigating time shift estimation methods in coriolis mass flowmeters

Coriolis mass flowmeters are crucial for measuring mass flow rates of fluids with diverse characteristics, including gas-liquid and other single-phase flow mixtures. Precision in measuring mass flow rates relies on accurately determining the time shift between the sensor signals from the flowmeters. Real-life testing of the methods for time shift measurement poses challenges, prompting the exploration of a virtual modelling tool as a cost-effective alternative. This paper introduces a pioneering virtual model designed for testing signal processing algorithms that are or to be used in Coriolis mass flowmeters. Through the simulation of various time shift determination algorithms, the paper showcases the effectiveness of this virtual tool for Coriolis mass flowmeter testing. By simulating different time shifts, the model tackles the challenges inherent in real-life testing scenarios. The study scrutinizes algorithms such as zero-crossing, cross-correlation, and the Hilbert Transform, offering insights into their performance and applicability of Coriolis mass flowmeters with the virtual model offering advantages such as cost-effectiveness and controlled environments. Through a comprehensive comparison and iterative testing, the virtual model not only aids in algorithm development but also facilitates the development of innovative flowmeters tailored for diverse industrial needs, promising enhanced applicability across a wider range of sectors.