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Abstract
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.
| Original language | English |
|---|---|
| Article number | 8418468 |
| Pages (from-to) | 754-761 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 68 |
| Issue number | 3 |
| Early online date | 23 Jul 2018 |
| DOIs | |
| Publication status | Published - 1 Mar 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Cleaning-in-place (CIP)
- L-curve Tikhonov
- electrical resistance tomography (ERT)
- mutilinear sensor
- surface deposits
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