A segmented capacitance tomography for visualising material distributions in pipeline conveying crude palm oil

A segmented electrical capacitance tomography (ECT) imager for palm oil process monitoring system is constructed and presented in this work.The goal of this study is to use the process monitoring system as an instrument to upkeep the local and foreign palm oil mill. This is to ensure that the monitoring of crude palm oil (CPO) in conveying pipeline during extraction of palm oil mill process flow process is efficiently controlled. The system has the capability to visualize the percentage of liquid that exist within the vessel therefore the data can be utilized to design and create better process equipment in mill process. It will also be used to control some processes in order to boost the quality of crude palm oil and the POME (Palm Oil Mill Effluent) treatment process. Most ECT in earlier research were created rapidly and utilized well in multiphase flow measurement in numerous applications such as in oil and gas industries, gas/solids cyclone, milk flows and fluidized beds. Experimentally, this work investigates the capability of using a twin-plane segmented ECT sensor with 16 portable electrodes using two differential excitation potentials transmitted signal in order to recognize the concentration and velocity profile as well as the phase concentration of crude palm oil related multiphase systems (liquid and gas). The attained concentration profile which is received from the capacitance measurements is capable to provide image of the liquid and gas mixture in the pipeline therefore, the separation process (between oil and liquid waste) becomes much easier and the crude palm oil‟s quality can be dependably monitored. The visualization results deliver information regarding the flow regime, superficial velocity and concentration distribution in two-phase flow-rate measurement system incorporating a liquid flow measuring device. The information obtained is able to help in the process equipment designing, verification of existing computational modeling and simulation techniques. It may also assist in process control and monitoring during the palm oil extraction process.

[1]  Wuqiang Yang,et al.  Adaptive calibration of a capacitance tomography system for imaging water droplet distribution , 2004 .

[2]  Todd Pugsley,et al.  The dynamic calibration of an electrical capacitance tomography sensor applied to the fluidized bed drying of pharmaceutical granule , 2005 .

[3]  Haiqing Li,et al.  An Online Flow Pattern Identification System for Gas–Oil Two-Phase Flow Using Electrical Capacitance Tomography , 2006, IEEE Transactions on Instrumentation and Measurement.

[4]  Wuqiang Yang,et al.  Principles and Industrial Applications of Electrical Capacitance Tomography , 1997 .

[5]  Alberto J. Palma,et al.  Development of an Electrical Capacitance Tomography system using four rotating electrodes , 2008 .

[6]  Alejandro Rodríguez-Castellanos,et al.  Multiphase flow reconstruction in oil pipelines by capacitance tomography using simulated annealing , 2005 .

[7]  Ruzairi Abdul Rahim,et al.  Multiphase flow reconstruction in oil pipelines by portable capacitance tomography , 2010, 2010 IEEE Sensors.

[8]  Hongjian Zhang,et al.  Gas–oil two-phase flow measurement using an electrical capacitance tomography system and a Venturi meter , 2005 .

[9]  Sharath Subash Donthi.  Capacitance based Tomography for Industrial Applications , 2004 .

[10]  R B White,et al.  Internal Structures in Fluid Beds of Different Scales: An Application of Electrical Capacitance Tomography. , 1999 .

[11]  Wuqiang Yang,et al.  Role of tomography in gas/solids flow measurement , 2000 .

[12]  J. Alberdi Primicia,et al.  Simulation design of electrical capacitance tomography sensors , 2007 .

[13]  Tomasz Dyakowski,et al.  Application of electrical capacitance tomography for measurement of gas-solids flow characteristics in a pneumatic conveying system , 2001 .

[14]  Brian S. Hoyle,et al.  Electrical capacitance tomography for flow imaging: system model for development of image reconstruction algorithms and design of primary sensors , 1992 .

[15]  J. C. Gamio,et al.  A comparative analysis of single- and multiple-electrode excitation methods in electrical capacitance tomography , 2002 .

[16]  R. A. Rahim,et al.  Non-invasive imaging of liquid/gas flow using ultrasonic transmission-mode tomography , 2007 .

[17]  Jie Zhang,et al.  Evaluation of an EIT reconstruction algorithm using finite difference human thorax models as phantoms. , 2003, Physiological measurement.

[18]  Wuqiang Yang,et al.  New AC-based capacitance tomography system , 1999 .

[19]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[20]  F. Wiegand,et al.  Simulations for parallel processing of ultrasound reflection-mode tomography with applications to two-phase flow measurement , 1989, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[21]  R. C. Waterfall,et al.  Combustion imaging from electrical impedance measurements , 1996 .

[22]  Wuqiang Yang,et al.  Tomography for multi-phase flow measurement in the oil industry , 2005 .

[23]  Liang-Shih Fan,et al.  Measurement of real-time flow structures in gas–liquid and gas–liquid–solid flow systems using electrical capacitance tomography (ECT) , 2001 .

[24]  Wuqiang Yang,et al.  Modelling of batch fluidised bed drying of pharmaceutical granules , 2007 .

[25]  F. Garcia-Nocetti,et al.  Visualisation of gas–oil two-phase flows in pressurised pipes using electrical capacitance tomography , 2005 .

[26]  B. F. Logan,et al.  The Fourier reconstruction of a head section , 1974 .

[27]  A. Plaskowski,et al.  Cross Correlation Flowmeters, Their Design and Application , 1987 .

[28]  Robert F. Mudde,et al.  Analysis of chaos in fluidization using electrical capacitance tomography , 1996 .

[29]  Trevor A. York,et al.  Status of electrical tomography in industrial applications , 2001, SPIE Optics East.

[30]  Wuqiang Yang,et al.  Development of capacitance tomographic imaging systems for oil pipeline measurements , 1995 .

[31]  Kok Seong Chan.  Electrical capacitance tomography system with mobile sensor for liquid measurement , 2008 .

[32]  Kok San Chan.  Real time image reconstruction for fan beam optical tomography system , 2003 .

[33]  Lijun Xu,et al.  Image reconstruction technique of electrical capacitance tomography for low-contrast dielectrics using Calderon's method , 2009 .

[34]  Maurice Beck,et al.  Tomographic imaging of two-component flow using capacitance sensors , 1989 .

[35]  Wuqiang Yang,et al.  An image-reconstruction algorithm based on Landweber's iteration method for electrical-capacitance tomography , 1999 .

[36]  H. Eren,et al.  Fringe-Effect Capacitive Proximity Sensors for Tamper Proof Enclosures , 2005, 2005 Sensors for Industry Conference.

[37]  Haiqing Li,et al.  Application of electrical capacitance tomography to the void fraction measurement of two-phase flow , 2003, IEEE Trans. Instrum. Meas..

[38]  Sallehuddin Ibrahim.  Measurement of gas bubbles in a vertical water column using optical tomography. , 2000 .

[39]  Wang Shimin,et al.  Effect of pipeline thickness on electrical capacitance tomography , 2009 .

[40]  N. Jin,et al.  Gas–liquid two phase flow measurement method based on combination instrument of turbine flowmeter and conductance sensor , 2008 .

[41]  Tom Dyakowski,et al.  Imaging nylon polymerisation processes by applying electrical tomography , 2000 .

[42]  Malcolm Byars,et al.  Developments in Electrical Capacitance Tomography , 2004 .

[43]  Richard A Williams,et al.  Chapter 5 Electrical Capacitance, Electrical Resistance, and Positron Emission Tomography Techniques and Their Applications in Multi-Phase Flow Systems , 2009 .

[44]  F. J. Dickin,et al.  Tomographic imaging of industrial process equipment : techniques and applications , 1992 .

[45]  Wuqiang Yang.  Tomographic Imaging based on Capacitance Measurement and Industrial Applications , 2007, 2007 IEEE International Workshop on Imaging Systems and Techniques.

[46]  C. Y. Chan,et al.  Sustainability of palm oil industries: an innovative treatment via membrane technology. , 2009 .

[47]  Wuqiang Yang,et al.  Design of electrical capacitance tomography sensors , 2010 .

[48]  Wuqiang Yang,et al.  Multi-interface Level Sensors and New Development in Monitoring and Control of Oil Separators , 2006, Sensors (Basel, Switzerland).

[49]  Hua Yan,et al.  Simulation Study of Capacitance Tomography Sensors , 1999 .

[50]  Barry J. Azzopardi,et al.  Imaging stratifying liquid–liquid flow by capacitance tomography , 2007 .