DocumentCode
176531
Title
Finite element simulation and optimization design of capacitance sensor with loop test plate
Author
Bin Ji ; Yutao Wang ; Gang Yang ; Jinfeng Yuan
Author_Institution
Northeastern Univ., Shenyang, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
3274
Lastpage
3278
Abstract
Flow pattern is complicated and changeable under the background of dense-phase pneumatic conveying in a horizontal pipe, which has great influence on other flow parameters. If a sensor can detect other parameters of slug combined with the characteristics of the flow pattern, the result will be more accurate. In this paper, in order to solve this problem, a new type of capacitance sensor is put forward, which combines the flow pattern recognition with the concentration detection of slug. The sensor has a high spatial resolution than other sensors. Focusing on the poor sensing field sensitivity uniformity and low measuring sensitivity, an approach combining finite element analysis with orthogonal experiment is proposed to optimally design the sensor. The results of simulation and experiments show that the optimized sensor has a more homogeneous circumferential sensitivity field, and it can detect the slug flow accurately. The sensor is more suitable to test slug than ECT sensor. Therefore, the sensor has a good application prospect in the field of two-phase flow testing.
Keywords
capacitive sensors; finite element analysis; flow sensors; optimisation; pattern recognition; two-phase flow; capacitance sensor; finite element simulation; flow pattern recognition; loop test plate; optimization design; slug concentration detection; slug flow detection; spatial resolution; two-phase flow testing; Capacitance; Capacitance measurement; Electrodes; Optimization; Robot sensing systems; Sensitivity; Testing; capacitance sensor; finite-element; flow pattern recognition; slug;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852739
Filename
6852739
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