Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model

Decanter centrifuges are frequently used for thickening, dewatering, classification, or degritting in the mining industry and various other sectors. Their use in an industrial process chain requires a sufficiently accurate prediction of the product and the machine behaviour. For this purpose, experi...

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Main Authors: Philipp Menesklou, Tabea Sinn, Hermann Nirschl, Marco Gleiss
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/11/2/229
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author Philipp Menesklou
Tabea Sinn
Hermann Nirschl
Marco Gleiss
author_facet Philipp Menesklou
Tabea Sinn
Hermann Nirschl
Marco Gleiss
author_sort Philipp Menesklou
collection DOAJ
description Decanter centrifuges are frequently used for thickening, dewatering, classification, or degritting in the mining industry and various other sectors. Their use in an industrial process chain requires a sufficiently accurate prediction of the product and the machine behaviour. For this purpose, experiments on a smaller pilot-scale are carried out for scale-up of a decanter centrifuge, which is usually a major challenge. Predicting the process behaviour of decanter centrifuges from laboratory tests is rather difficult. Basically, there are two common ways of scale-up: First, via analytical methods and the law of similarity, which often requires an enormous experimental effort. Second, using numerical models, which demands a mathematically and physically precise description of the multiple processes running simultaneously in such machines. This article provides an overview of both methods for scale-up of a decanter centrifuge. The concept of a previous developed numerical approach is introduced. Pros and cons of both scale-up methods are compared and further discussed. Experiments on lab-scale, pilot-scale, and industrial-scale decanter centrifuges with two different finely dispersed calcium carbonate water suspensions were carried out and simulations were done to investigate and prove the scale-up capability and transferability of the numerical approach.
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spelling doaj.art-2e5b38867cf0431598caf4a1f1ab49f12023-12-11T18:10:53ZengMDPI AGMinerals2075-163X2021-02-0111222910.3390/min11020229Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process ModelPhilipp Menesklou0Tabea Sinn1Hermann Nirschl2Marco Gleiss3Karlsruhe Institute of Technology (KIT), Institute of Mechanical Process Engineering and Mechanics (MVM), Strasse am Forum 8, 76131 Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Mechanical Process Engineering and Mechanics (MVM), Strasse am Forum 8, 76131 Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Mechanical Process Engineering and Mechanics (MVM), Strasse am Forum 8, 76131 Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Mechanical Process Engineering and Mechanics (MVM), Strasse am Forum 8, 76131 Karlsruhe, GermanyDecanter centrifuges are frequently used for thickening, dewatering, classification, or degritting in the mining industry and various other sectors. Their use in an industrial process chain requires a sufficiently accurate prediction of the product and the machine behaviour. For this purpose, experiments on a smaller pilot-scale are carried out for scale-up of a decanter centrifuge, which is usually a major challenge. Predicting the process behaviour of decanter centrifuges from laboratory tests is rather difficult. Basically, there are two common ways of scale-up: First, via analytical methods and the law of similarity, which often requires an enormous experimental effort. Second, using numerical models, which demands a mathematically and physically precise description of the multiple processes running simultaneously in such machines. This article provides an overview of both methods for scale-up of a decanter centrifuge. The concept of a previous developed numerical approach is introduced. Pros and cons of both scale-up methods are compared and further discussed. Experiments on lab-scale, pilot-scale, and industrial-scale decanter centrifuges with two different finely dispersed calcium carbonate water suspensions were carried out and simulations were done to investigate and prove the scale-up capability and transferability of the numerical approach.https://www.mdpi.com/2075-163X/11/2/229scale-upsolid-liquid separationdecanter centrifugeprocess modeldynamic simulation
spellingShingle Philipp Menesklou
Tabea Sinn
Hermann Nirschl
Marco Gleiss
Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model
Minerals
scale-up
solid-liquid separation
decanter centrifuge
process model
dynamic simulation
title Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model
title_full Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model
title_fullStr Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model
title_full_unstemmed Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model
title_short Scale-Up of Decanter Centrifuges for the Particle Separation and Mechanical Dewatering in the Minerals Processing Industry by Means of a Numerical Process Model
title_sort scale up of decanter centrifuges for the particle separation and mechanical dewatering in the minerals processing industry by means of a numerical process model
topic scale-up
solid-liquid separation
decanter centrifuge
process model
dynamic simulation
url https://www.mdpi.com/2075-163X/11/2/229
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