Analysis of crude palm oil composition in a chemical process conveyor using Electrical Capacitance Tomography |
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| Affiliation: | 1. Department of Mechatronic and Robotic, Faculty of Electrical & Electronics Engineering, Universiti Tun Hussein Onn Malaysia, Pt. Raja, Bt. Pahat, Johor 86400, Malaysia;2. Process Tomography and Instrumentation Research Group, Infocomm Research Alliance, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia;3. School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Pauh, Perlis, Malaysia;4. Department of Instrumentation & Control Engineering (ICE), Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia;5. Department of Manufacturing and Industrial, Faculty of Mechanical and Manufacturing, Universiti Tun Hussein Onn Malaysia, Pt. Raja, Bt. Pahat, Johor 86400, Malaysia;1. Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China;2. School of Science, Beijing Jiaotong University, Beijing 100044, China;1. School of Engineering and Digital Arts, University of Kent, Canterbury CT2 7NT, UK;2. School of Engineering and Automation, Tianjin University, Tianjin 300072, P.R. China;3. KROHNE LTD, Wellingborough NN8 6AE, UK;1. School of Engineering, University College Cork, Cork, Ireland;2. Department of Chemical Engineering, Universidad Autónoma de Coahuila, Saltillo, COAH, Mexico;1. Center for Optics, Photonics and Laser, Laval University, Quebec, Canada;2. Opsun Technologies Inc., Quebec, Canada;1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland;2. Institute for Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland;3. Alphamoon Ltd., ul. Wlodkowica 21/3, 50-072 Wroclaw, Poland;4. Captor Therapeutics Ltd., ul. Dunska 11, 54-427 Wroclaw, Poland |
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| Abstract: | In this work, we aim to analyse the capability of using a 16-segmented Electrical Capacitance Tomography (ECT) sensor system to monitor the internal composition of a chemical process conveyor that carries crude palm oil (CPO) multiphase flow. The source used to excite the electrodes is a differential potential, instead of the conventional single potential source, in order to obtain an improved sensitivity of the sensor, especially in the central area of the pipe. This system aims to recognise the phase concentration of the flow. The attained concentration profile that is received from the capacitance measurements is capable of providing an image of the liquid and liquid mixture in the pipeline, making the separation process (between oil and liquid waste) much easier and the CPO's quality can be dependably monitored. Experimental results and analysis are presented, and the new excitation technique is shown to provide better sensor sensitivity in the central pipe area. The visualisation results deliver information regarding the flow regime and concentration distribution in a two-phase flow-rate measurement system incorporating a liquid flow-measuring device. The information obtained will assist the design of process equipment, and the verification of existing computational modelling and simulation techniques. |
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| Keywords: | Electrical Capacitance Tomography Liquid/liquid multiphase flow Crude palm oil Chemical process Composition |
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