A novel phenomenological based model of an upstream hydro-classifier for control purposes

Diego A. Muñoz; Rene Serna; Andres F. Obando; Hernan Alvarez

doi:10.1016/j.ifacol.2019.06.082

A novel phenomenological based model of an upstream hydro-classifier for control purposes

Diego A. Muñoz
, Rene Serna
, Andres F. Obando
, Hernan Alvarez

Research output: Contribution to scientific journal › Conference and proceedings › peer-review

1 Scopus citations

Abstract

Hydro-classification is one of the most important operation to separate particles according with their size and specific gravity. This operation involves many phenomena and its modeling is still not clear. Complex models demand high computational resources and are used to design the dimension of devices or predict the classification but off-line. However, for control proposes, it is necessary to get a suitable model with acceptable prediction level to be implemented online. This work presents a phenomenological based semi-physical model (PBSM) that describes the phenomena of the hydro-classification and forecasts its performance according to the operative conditions, summarizing all phenomena in the main physical properties of production.

Original language	English
Pages (from-to)	323-328
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	52
Issue number	1
DOIs	https://doi.org/10.1016/j.ifacol.2019.06.082
State	Published - 2019
Event	12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 - Florianopolis, Brazil Duration: 23 Apr 2019 → 26 Apr 2019

Bibliographical note

Publisher Copyright:
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Keywords

Forces balance
Hydro-classifier
Phenomenological based semi-physical model
Solid pulps
Solids separation

Types Minciencias

Scientific events with a public engagement component

Access to Document

10.1016/j.ifacol.2019.06.082

Cite this

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title = "A novel phenomenological based model of an upstream hydro-classifier for control purposes",

abstract = "Hydro-classification is one of the most important operation to separate particles according with their size and specific gravity. This operation involves many phenomena and its modeling is still not clear. Complex models demand high computational resources and are used to design the dimension of devices or predict the classification but off-line. However, for control proposes, it is necessary to get a suitable model with acceptable prediction level to be implemented online. This work presents a phenomenological based semi-physical model (PBSM) that describes the phenomena of the hydro-classification and forecasts its performance according to the operative conditions, summarizing all phenomena in the main physical properties of production.",

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note = "Publisher Copyright: {\textcopyright} 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.; 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 ; Conference date: 23-04-2019 Through 26-04-2019",

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T1 - A novel phenomenological based model of an upstream hydro-classifier for control purposes

AU - Muñoz, Diego A.

AU - Serna, Rene

AU - Obando, Andres F.

AU - Alvarez, Hernan

PY - 2019

Y1 - 2019

N2 - Hydro-classification is one of the most important operation to separate particles according with their size and specific gravity. This operation involves many phenomena and its modeling is still not clear. Complex models demand high computational resources and are used to design the dimension of devices or predict the classification but off-line. However, for control proposes, it is necessary to get a suitable model with acceptable prediction level to be implemented online. This work presents a phenomenological based semi-physical model (PBSM) that describes the phenomena of the hydro-classification and forecasts its performance according to the operative conditions, summarizing all phenomena in the main physical properties of production.

AB - Hydro-classification is one of the most important operation to separate particles according with their size and specific gravity. This operation involves many phenomena and its modeling is still not clear. Complex models demand high computational resources and are used to design the dimension of devices or predict the classification but off-line. However, for control proposes, it is necessary to get a suitable model with acceptable prediction level to be implemented online. This work presents a phenomenological based semi-physical model (PBSM) that describes the phenomena of the hydro-classification and forecasts its performance according to the operative conditions, summarizing all phenomena in the main physical properties of production.

KW - Forces balance

KW - Hydro-classifier

KW - Phenomenological based semi-physical model

KW - Solid pulps

KW - Solids separation

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DO - 10.1016/j.ifacol.2019.06.082

M3 - Ponencia publicada en las memorias del evento con ISSN

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SN - 1474-6670

VL - 52

SP - 323

EP - 328

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 1

T2 - 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019

Y2 - 23 April 2019 through 26 April 2019

ER -

A novel phenomenological based model of an upstream hydro-classifier for control purposes

Abstract

Bibliographical note

Keywords

Types Minciencias

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