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Controlled inline fluid separation based on smart process tomography sensors

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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https://hal.archives-ouvertes.fr/hal-03181083
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Submitted on : Thursday, March 25, 2021 - 1:56:08 PM
Last modification on : Monday, July 4, 2022 - 10:00:19 AM
Long-term archiving on: : Saturday, June 26, 2021 - 6:49:29 PM

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Benjamin Sahovic, Hanane Atmani, Muhammad Awais A. Sattar, Matheus Martinez Garcia, Eckhart Schleicher, et al.. Controlled inline fluid separation based on smart process tomography sensors. Chemie Ingenieur Technik, Wiley-VCH Verlag, 2020, 92 (5), pp.554-563. ⟨10.1002/cite.201900172⟩. ⟨hal-03181083⟩

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