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Research On Design And Optimization Of ECT Sensor Based On COMSOL

Posted on:2019-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:X L ChengFull Text:PDF
GTID:2428330566474669Subject:computer technology
Abstract/Summary:PDF Full Text Request
In the modern industrial society,the capacitance tomography technology has an extremely wide range of applications in the field of industrial production,such as pharmaceutical,chemical,energy,metallurgy,petroleum,and other fields.In addition,the process of transporting various solid and liquid materials in the petroleum,metallurgy,and electric power industries,the liquefaction process,the mixing process,the drying process,and the reaction process in the chemical,pharmaceutical,and energy fields all involve capacitive tomography technologies and many problem of phase flow measurement is most significant in the oil industry.China has abundant marine resources and has abundant oil and gas resources stored in many of China's sea areas.This means that China must strengthen the development of marine space resources and enter a new model of ocean space development.In the development of oil and gas resources,there must be guarantees for transportation,testing,and drying technologies,while electrical capacitance tomography and multiphase flow detection technologies are necessary for the development of marine space resources.Electrical Capacitance Tomography(ECT)is a technique of process tomography(PT),which measures the capacitance of a measured field by means of a sensor array disposed outside the object to be measured.The distribution of the medium in the measured field is obtained.Under the effect of the image reconstruction program,the distribution of the medium inside the measured object can be reproduced.ECT technology has many outstanding advantages,such as non-invasive,non-radioactive,outstanding safety performance,etc.It has a very wide range of applications in practice.For multiphase flow detection,this application has great potential for development.However,ECT technology is still difficult to be widely used in industrial fields in a short period of time.Related researchers should further strengthen the research on ECT technology and promote ECT technology to exert greater practical efficacy.In this context,starting from the application and research of ECT sensors,this paper designs and optimizes regular and irregular electrical capacitance tomography sensors.In this paper,the design and optimization of the ECT capacitance sensor are studied.When studying the ECT sensor with a regular geometric shape,an 8-electrode ECT sensor is introduced,and a new structure of the ECT sensor is designed for this research object.and optimize it from multiple perspectives.At the same time,a non-regular geometry sensor is designed,optimized and a new method for evaluating the sensor performance is proposed.The main research contents and achievements of this article are as follows:(1)Based on COMSOL Multiphysics(abbreviated as COMSOL),a simulation model of a capacitance tomography sensor was established.The sensor model was solved in a real environment and a non-regular sensor performance evaluation was performed based on the electric field properties of the capacitance tomography sensor.function.According to the sensor's sensitive field,the performance of the sensor can be evaluated,and the capacitive tomography sensor can be optimized.(2)In the experimental study,a physics simulation model of a three-dimensional ECT sensor with 8-electrode regular geometry is established,and the ECT sensor is optimized from the aspects of optimization method,structural parameters of the sensor,and the structure of the sensor.The optimization methods mainly include factor rotation method,orthogonal design method,regression orthogonal design method,and uniform design method.The sensor's structuring parameters mainly depend on the length of the electrode plate,whether there is a shielding layer and the coverage rate of the electrode plate.The maximum and minimum capacitance values obtained,the distribution of the sensitive field,and many other aspects of the performance of the sensor to conduct an objective evaluation,and ultimately determine the optimal geometric parameters.In addition,a new ECT sensor structure was designed and compared with the traditional sensors.When the sensor adopts a new structure,not only the maximum and minimum capacitance values can be improved,but also the difficulty of the data acquisition system for detecting the capacitance value between the plates is reduced,and at the same time,the uniformity of the sensitive field in the sensor field is better,and the image reconstruction is better.Higher quality.During the optimization process,the sensitivity field in the sensor is further regularized to reduce errors and better achieve the purpose of optimization.(3)In the recent studies,most of the capacitive tomography and multi-phase flow detection techniques are aimed at regular sensors,and the irregular geometry of ECT sensors is less involved.This paper has studied and applied two aspects.The development trend of irregular-shaped cross-section sensors is discussed,and the design of non-regular geometry ECT sensors is introduced.Irregular geometric ECT sensors were designed and researched,and irregular ECT sensor models were established to unequalize the sensitive field in the sensor field.The sensor was optimized and evaluated from multiple angles.The method of calculating the sensitivity of non-regular sensors is proposed,and the purpose of optimizing the irregular tomography shape of the capacitance tomography sensor is achieved.Finally,in view of the above,this paper designs a completely new structure of ECT sensor,and studies and designs non-regular geometry ECT sensor,proposes unequal splitting,sensitivity calculation method and evaluation of its performance function,and completes the rule.And ECT sensor with irregular geometry optimization.
Keywords/Search Tags:Electrical capacitance tomography, COMSOL Multiphysics, Irregular ECT sensor, Finite element, Sensor optimization design, ECT sensor structure
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