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Study on Modeling and Optimal Design of Capacitively Coupled Electrical Resistance Tomography System
Author: ZhangWeiBo
Tutor: HuangZhiYaoï¼›WangBaoLiang
School: Zhejiang University
Course: Detection Technology and Automation
Keywords: Two-phase flow Resistance Tomography Contactless conductivity detection Modeling Optimal design Sensitive field
CLC: TP212
Type: Master's thesis
Year: 2012
Downloads: 30
Quote: 0
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Abstract
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Resistance Tomography (ERT) technology as one of the research hotspots Process Tomography, compared with other tomography technology has the advantages of simple structure, fast response and low cost, is a broad application prospects parameters of two-phase flow measurement techniques. However, traditional ERT sensor detection electrode and measured conductive liquid in direct contact, easily lead to the problem of electrode polarization and electrochemical reactions, thus affecting ERT in practical industrial applications. To solve the problem, our research group is based on capacitive coupling type non-contact the conductance measurement methods (Capacitively Coupled Contactless Conductivity Detection, C4D) proposed a new ERT technology, the capacitive coupling ERT (Capacitively Coupled Electrical Resistance Tomography, CCERT). CCERT system sensor The electrode is mounted directly on the measured outside of the insulating pipe, thus effectively avoiding the various problems caused due to contact measurements in traditional ERT is a great potential applications of imaging techniques. Although there has been a preliminary to verify the feasibility of the application of the technology in the field of tomography, but because the system is very different from traditional ERT system, can not directly draw on existing research results of ERT. Starting from basic research on the with system CCERT at the theoretical analysis and modeling, and proposed sensor design standards, and thus can achieve effective image reconstruction. In response to this situation, the paper mainly starting from basic research, a more in-depth study on the modeling and optimization of the sensor problem, also carried out a preliminary study of image reconstruction and sensor design criteria based on the research, design CCERT prototype, and a real-time image reconstruction verification experiment. Work and innovation of the main points are as follows: (1) establish CCERT sensor mathematical model and the use of two-dimensional and three-dimensional finite element simulation to verify the validity of the RC series equivalent circuit model between the electrodes. (2) characteristics for CCERT sensor structure, in order to reduce the impact of external parasitic capacitance to draw electrical capacitance tomography system by increasing radial electrode method, the study of the structure of the sensor. The results show that, for data acquisition modes, radial electrode measured values ??greater impact adversely on the measurement, do not recommend using the radial electrode. (3) to reduce the difficulty of data detection circuit design for the optimization goals, taking into account the sensitivity of the system measurement, the sensor geometry CCERT and physical parameters of the optimization study. Be obtained by studying the sensor design criteria as follows: a thinner wall, the larger the wall of the relative permittivity and the larger opening angle of the electrode of the system design is advantageous. (4) Based on the design criteria of the sensor, designed the sensor prototype in CCERT. Sensitive field of image reconstruction simulation study, the design CCERT sensor sensitive field while LBP imaging algorithm is applied to the system. The prototype real-time image reconstruction validation experiments. The experimental results show that the target imaging good effect The CCERT system prototype further validate the accuracy of the model of the sensor, the effectiveness of the design criteria of the sensor, also shows that the obtained sensitive field and match the actual system.
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor
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