TY - JOUR
T1 - Development of a novel linear ERT sensor to measure surface deposits
AU - Ren, Zhen
AU - Trinh, Linda
AU - Cooke, Michael
AU - Carrillo De Hert, Sergio
AU - SilvaLuengo, J.
AU - Ashley, J
AU - Tothill, I.E.
AU - Rodgers, Thomas
N1 - Funding Information:
Manuscript received February 6, 2018; revised June 12, 2018; accepted June 15, 2018. Date of publication July 23, 2018; date of current version February 8, 2019. This work was supported by EPSRC under Grant EP/L505778/1 and in part by Innovate U.K. The Associate Editor coordinating the review process was Amitava Chatterjee. (Corresponding author: Zhen Ren) Z. Ren, L. Trinh, M. Cooke, S. C. De Hert, and T. L. Rodgers are with the School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester M13 9PL, U.K. (email: [email protected]).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - This paper investigates the feasibility of using electrical resistance tomography (ERT) to visualize the surface deposit during a cleaning-in-place (CIP) process, which is a common problem in various industries. A pilot scale cleaning rig with a purposely designed ERT test section was used for monitoring the prerinse CIP stage of cleaning milk paste adhering to a test section. The ERT test section comprises a CIP-ERT multilinear sensor consisting of four planes of eight electrodes. The industrial tomography system, P2000 ERT system, was used to collect the voltage data that were processed in a MATLAB-based ERT toolkit. 3-D images were reconstructed using the L-curve Tikhonov method. A feasibility study was conducted to evaluate the performance of the CIP-ERT sensor. Image analysis showed that ERT is suitable for monitoring and visualizing the CIP process for the materials that foul similar to milk pastes. The success of this paper contributes to a time/energy efficient industrial process as the cleaning process can be visualized and over cleaning can be avoided.
AB - This paper investigates the feasibility of using electrical resistance tomography (ERT) to visualize the surface deposit during a cleaning-in-place (CIP) process, which is a common problem in various industries. A pilot scale cleaning rig with a purposely designed ERT test section was used for monitoring the prerinse CIP stage of cleaning milk paste adhering to a test section. The ERT test section comprises a CIP-ERT multilinear sensor consisting of four planes of eight electrodes. The industrial tomography system, P2000 ERT system, was used to collect the voltage data that were processed in a MATLAB-based ERT toolkit. 3-D images were reconstructed using the L-curve Tikhonov method. A feasibility study was conducted to evaluate the performance of the CIP-ERT sensor. Image analysis showed that ERT is suitable for monitoring and visualizing the CIP process for the materials that foul similar to milk pastes. The success of this paper contributes to a time/energy efficient industrial process as the cleaning process can be visualized and over cleaning can be avoided.
KW - Cleaning-in-place (CIP)
KW - L-curve Tikhonov
KW - electrical resistance tomography (ERT)
KW - mutilinear sensor
KW - surface deposits
U2 - 10.1109/TIM.2018.2853380
DO - 10.1109/TIM.2018.2853380
M3 - Article
SN - 0018-9456
VL - 68
SP - 754
EP - 761
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
IS - 3
M1 - 8418468
ER -
