Design, construction and evaluation of an electrical capacitance tomography system to monitor grains flow passing through pipeline

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Tarabi Nazilla; Mousazadeh Hossein; Taghizadeh-Tameh Jalil

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING Year:2023 | Volume:54 | Issue:1 Page(s): 37-52

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Information Journal Paper

Title

Design, construction and evaluation of an electrical capacitance tomography system to monitor grains flow passing through pipeline

Author(s)

Tarabi Nazilla | Mousazadeh Hossein | Taghizadeh-Tameh Jalil | Issue Writer Certificate

Keywords

Electrical Tomography

capacitance

Image Reconstruction

grains

Abstract

In determining the mass flow rate of bulk materials such as grains that pass through closed channels such as pipes, the online measurement of the volume ratio of solid materials and their distribution in the pipe cross-section is of particular importance. Considering the features of conventional methods such as be creating obstacles in the passage of materials (permeability) and low accuracy, in this research the non-contact tomography method of electrical capacitance was investigated for monitoring the flow of solid materials. In this method, to measure the amount of material and its density, it uses the measurement of the dielectric properties of the material inside the pipe. The developed electro-capacitance tomography system has 8 main electrodes and 16 secondary electrodes, anti-noise guards and a transmitter and receiver circuit, which was installed on a non-conductive pipe with a diameter of 20 cm. The main problem in the performance of the electro-capacitance tomography is the noise and lack of optimal image reconstruction with the conventional LBP algorithm. In this study, the performance of Tikhonov algorithm was compared with the conventional LBP algorithm. In this research, by using different guards, the noise level of the system was reduced so that the signal-to-noise ratio reached 56.09 dB. The results of the comparison of two algorithms showed that the Tikhonov algorithm has a good behavior in reconstruction of a tomogram of the wheat mass next to the pipe walls compared to the LBP algorithm, and except for the condition that the pipe is completely full, in other filling patterns of the pipe, has a better performance.

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