<p>&nbsp;A centrifuge is an apparatus for separating two-phase of solid and liquid used in sewage treatment, waste oil recycling, and fertilizers and chemicals. The centrifuge necessity is for removing a low concentration of solids in suspensions, about one to five percent particle suspension. In the centrifuge operational condition, changing the suspension's supply flow rate and the rotational speed of the centrifuge will change the separation process, including the particle deposition thickness. However, it is impossible to directly measure and imaging the particle deposition thickness in the rotating device. Since the centrifuge rotates at high speed, a measuring device must be independent and attached to the centrifuge. An image reconstruction method for rotating machinery has been developed based on the measurement of linear sensor wireless electrical resistance tomography (LS-WERT). It can measure the real-time particle deposition thickness in centrifugal fields. The linear sensor is composed of eight electrodes attached as a single line in the centrifuge's inner wall and connected to WERT, which transmit the measured resistance to the processing PC. The measurement of LS-WERT works effectively inside the boundary of the effective sensing planar-area. We conducted a coupling of SPH-DEM simulation based on the Lagrangian method to evaluate the centrifugal field's fluid dynamics. This coupling confirms the interaction between the liquid and particle position under different rotational speeds inside the centrifugal field. The particle position is essential for the electrical measurement's evaluation based on the FEM mesh conductivity in the EIT simulation method. &nbsp;As a result, the higher rotational velocity gives greater centrifugal forces causing an upward parabolic interface. The measured resistance from LS-WERT indicates particle detection, which was pushed against the wall at different heights. Finally, the image reconstruction based on Artificial Neural Network (ANN) method can be specified without setting a threshold value and agreeing with the numerical simulation.</p>

Development of Liquid-Particle Image Reconstruction Method in Centrifugal Field by Linear Sensor Wireless Electrical Resistance Tomography (Ls-Wert)

Paper Proceedings: https://asmedigitalcollection.asme.org/ICONE/ICONE28/volume/85246

2021 28th International Conference on Nuclear Engineering (ICONE28)

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