Cargando…
Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone
Phase separation based centrifugal forces is effective, and thus widely explored by the process industry. In an inline swirl separator, a core of the light phase is formed in the center of the device and captured further downstream. Given the inlet conditions, this gas core created varies in shape a...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662277/ https://www.ncbi.nlm.nih.gov/pubmed/33113871 http://dx.doi.org/10.3390/s20216069 |
_version_ | 1783609362629001216 |
---|---|
author | Sattar, Muhammad Awais Garcia, Matheus Martinez Banasiak, Robert Portela, Luis M. Babout, Laurent |
author_facet | Sattar, Muhammad Awais Garcia, Matheus Martinez Banasiak, Robert Portela, Luis M. Babout, Laurent |
author_sort | Sattar, Muhammad Awais |
collection | PubMed |
description | Phase separation based centrifugal forces is effective, and thus widely explored by the process industry. In an inline swirl separator, a core of the light phase is formed in the center of the device and captured further downstream. Given the inlet conditions, this gas core created varies in shape and size. To predict the separation behavior and control the process in an optimal way, the gas core diameter should be measured with the minimum possible intrusiveness. Process tomography techniques such as electrical resistance tomography (ERT) allows us to measure the gas core diameter in a fast and non-intrusive way. Due to the soft-field nature and ill-posed problem in solving the inverse problem, especially in the area of low spatial resolution, the reconstructed images often overestimate the diameter of the object under consideration leading to unreliable measurements. To use ERT measurements as an input for the controller, the estimated diameters should be corrected based on secondary measurements, e.g., optical techniques such as high-speed cameras. In this context, image processing and image analysis techniques were adapted to compare the diameter calculated by an ERT system and a fast camera. In this paper, a correction method is introduced to correct the diameter obtained by ERT based on static measurements. The proposed method reduced the ERT error of dynamic measurements of the gas core size from over 300% to below 20%, making it a reliable sensing technique for controlled separation processes. |
format | Online Article Text |
id | pubmed-7662277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76622772020-11-14 Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone Sattar, Muhammad Awais Garcia, Matheus Martinez Banasiak, Robert Portela, Luis M. Babout, Laurent Sensors (Basel) Article Phase separation based centrifugal forces is effective, and thus widely explored by the process industry. In an inline swirl separator, a core of the light phase is formed in the center of the device and captured further downstream. Given the inlet conditions, this gas core created varies in shape and size. To predict the separation behavior and control the process in an optimal way, the gas core diameter should be measured with the minimum possible intrusiveness. Process tomography techniques such as electrical resistance tomography (ERT) allows us to measure the gas core diameter in a fast and non-intrusive way. Due to the soft-field nature and ill-posed problem in solving the inverse problem, especially in the area of low spatial resolution, the reconstructed images often overestimate the diameter of the object under consideration leading to unreliable measurements. To use ERT measurements as an input for the controller, the estimated diameters should be corrected based on secondary measurements, e.g., optical techniques such as high-speed cameras. In this context, image processing and image analysis techniques were adapted to compare the diameter calculated by an ERT system and a fast camera. In this paper, a correction method is introduced to correct the diameter obtained by ERT based on static measurements. The proposed method reduced the ERT error of dynamic measurements of the gas core size from over 300% to below 20%, making it a reliable sensing technique for controlled separation processes. MDPI 2020-10-25 /pmc/articles/PMC7662277/ /pubmed/33113871 http://dx.doi.org/10.3390/s20216069 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sattar, Muhammad Awais Garcia, Matheus Martinez Banasiak, Robert Portela, Luis M. Babout, Laurent Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone |
title | Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone |
title_full | Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone |
title_fullStr | Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone |
title_full_unstemmed | Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone |
title_short | Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone |
title_sort | electrical resistance tomography for control applications: quantitative study of the gas-liquid distribution inside a cyclone |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662277/ https://www.ncbi.nlm.nih.gov/pubmed/33113871 http://dx.doi.org/10.3390/s20216069 |
work_keys_str_mv | AT sattarmuhammadawais electricalresistancetomographyforcontrolapplicationsquantitativestudyofthegasliquiddistributioninsideacyclone AT garciamatheusmartinez electricalresistancetomographyforcontrolapplicationsquantitativestudyofthegasliquiddistributioninsideacyclone AT banasiakrobert electricalresistancetomographyforcontrolapplicationsquantitativestudyofthegasliquiddistributioninsideacyclone AT portelaluism electricalresistancetomographyforcontrolapplicationsquantitativestudyofthegasliquiddistributioninsideacyclone AT baboutlaurent electricalresistancetomographyforcontrolapplicationsquantitativestudyofthegasliquiddistributioninsideacyclone |