Abstract
In this paper, the authors present the flow velocity measurement based on twin plane sensor electrical capacitance tomography and the cross-correlation method. It is shown that such a technique has a significant restriction for its use, particularly for the plug regime of a flow. The major issue is with the irregular regime of the flow when portions of propagated material appear in different time moments. Thus, the requirement of correlability of analyzed input signal patterns should be met. Therefore, the checking of the correlability should be considered by such a technique. The article presents a study of the efficiency of the original algorithm of automatic extraction of the suitable signal patterns which has been recently proposed, to calculate flow velocity. The obtained results allow for choosing in practice the required parameters of the algorithm to correct the extraction of signal patterns in a proper and accurate way. Various examples of the application of the discussed algorithm were presented, along with the analysis of the influence of the parameters used on the quality of plugs identification and determination of material flow.
Highlights
The flow velocity measurements are often applied to many industrial processes, such as food, mineral, chemical, and pharmaceutical production [1,2,3,4,5]
Velocity measurement is a relatively simple task. It is still challenged in multiphase flow applications when the velocity measurement of the chosen phase is required
It turns out that the window width parameter is important in the context of ensuring the effectiveness of the algorithm
Summary
The flow velocity measurements are often applied to many industrial processes, such as food, mineral, chemical, and pharmaceutical production [1,2,3,4,5]. To estimate flow velocity in the chosen pixel of the volume of interest, first, the cross-correlation function of signals representing material distribution changes within the pixel of the first and second plane of the tomographic unit is calculated. The signal correlation function is based on the indicated time intervals, in which the range of measurements used in the calculations is determined. It turns out that the window width parameter is important in the context of ensuring the effectiveness of the algorithm Due to this fact, it is obvious that the pattern should be computed based on the signal that is processed. The authors suppose that the obtained results of the conducted study can be successfully utilized in many applications that use the cross-correlation method to calculate time parameters of flow measurements, where the plug regime occurs
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
