Electrical Resistance Tomography (ERT) is a scanning technique that has been widely used in various industrial processes. By injecting low frequency signal into measuring samples, ERT technique is able to obtain the conductivity distribution information of the sample. The conductivity information can be an important indicator for process conditions, for example, mixing conditions, material composition and contamination detection. In the past, ITS Plc has successfully implemented 2D ERT technology into the packed bed applications such as chromatography column monitoring. Column chromatography is a widely used technology in chemistry for purifying/separating chemical compounds. It is often an expensive process and the packing cannot be used after certain amount of cycles, due to degradation of the packing. In the life sciences sector which are regulated a conservative approach must be taken to ensure quality and purity of production. The lack of information in columns and their expense makes ERT an attractive technique for monitoring the packed beds and column conditions. By monitoring the column conditions effectively, the user can determine assess its performance and quality, to prevent unnecessary loss and maintain quality and yield. Conventional 2D multi-plane ERT can provide cross sectional distribution information about the conditions. However the result might not be very representative due to the lack of inter-plane information. In this paper, multi-plane 3D ERT modelling is proposed as it is believed that 3D ERT can provide further axial information about the process, which is very critical because of the geometrical features of the pack bed. A 4x16 ERT sensor is used in this paper to demonstrate the difference between 2D and 3D ERT. Both the theoretical and experimental results will be presented in this paper.
[1]
David Isaacson,et al.
NOSER: An algorithm for solving the inverse conductivity problem
,
1990,
Int. J. Imaging Syst. Technol..
[2]
V. Inglezakis,et al.
Liquid holdup and flow dispersion in zeolite packed beds
,
2001
.
[3]
N. A. Tsochatzidis,et al.
An investigation of liquid maldistribution in trickle beds
,
2002
.
[4]
J. L. Davidson,et al.
Three-dimensional electrical impedance tomography applied to a metal-walled filtration test platform
,
2004
.
[5]
R. Mann,et al.
Flow distribution and velocity measurement in a radial flow fixed bed reactor using electrical resistance tomography
,
2004
.
[6]
A. Lohi,et al.
A new liquid distribution factor and local mass transfer coefficient in a random packed bed
,
2006
.
[7]
Manuchehr Soleimani,et al.
Four-dimensional regularization for Electrical Impedance Tomography imaging
,
2007
.
[8]
C. Bennington,et al.
Aspects of liquor flow in a model chip digester measured using electrical resistance tomography
,
2007
.
[9]
A. Adler,et al.
Temporal image reconstruction in electrical impedance tomography
,
2007,
Physiological measurement.
[10]
C. Bennington,et al.
Liquor flow in a model kraft batch digester
,
2010
.
[11]
A. Lohi,et al.
Measurement of Liquid Velocity and Liquid Distribution in a Packed Bed Using Electrical Resistance Tomography
,
2011
.
[12]
L. Fan,et al.
Electrical capacitance volume tomography for imaging of pulsating flows in a trickle bed
,
2014
.
[13]
M. Soleimani,et al.
Sampling of finite elements for sparse recovery in large scale 3D electrical impedance tomography
,
2015,
Physiological measurement.