Sahovic, Benjamin and Atmani, Hanane and Sattar, Muhammad Awais A. and Garcia, Matheus Martinez and Schleicher, Eckhart and Legendre, Dominique
and Climent, Éric
and Zamansky, Rémi
and Pedrono, Annaig
and Babout, Laurent and Banasia, Robert and Portela, Luis and Hampel, Uwe
Controlled inline fluid separation based on smart process tomography sensors.
(2020)
Chemie Ingenieur Technik, 92 (5). 554-563. ISSN 0009-286X
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(Document in English)
PDF (Publisher's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 1MB |
Official URL: https://doi.org/10.1002/cite.201900172
Abstract
Today's mechanical fluid separators in industry are mostly operated without any control to maintain efficient separation for varying inlet conditions. Controlling inline fluid separators, on the other hand, is challenging since the process is very fast and measurements in the multiphase stream are difficult as conventional sensors typically fail here. With recent improvement of process tomography sensors and increased processing power of smart computers, such sensors can now be potentially used in inline fluid separation. Concepts for tomography‐controlled inline fluid separation were developed, comprising electrical tomography and wire‐mesh sensors, fast and massive data processing and appropriate process control strategy. Solutions and ideas presented in this paper base on process models derived from theoretical investigation, numerical simulations and analysis of experimental data.
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