Fit-for-Purpose VSI Modelling Framework for Process Simulation

The worldwide shortage of natural sand has created a need for improved methods to create a replacement product. The use of vertical shaft impact (VSI) crushers is one possible solution, since VSI crushers can create particles with a good aspect ratio and smooth surfaces for use in different applicat...

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Main Authors: Simon Grunditz, Gauti Asbjörnsson, Erik Hulthén, Magnus Evertsson
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Minerals
Subjects:
VSI
DEM
Online Access:https://www.mdpi.com/2075-163X/11/1/40
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spelling doaj-74bf7fef751b4435a4896a4d3eb789292021-01-01T00:04:48ZengMDPI AGMinerals2075-163X2021-12-0111404010.3390/min11010040Fit-for-Purpose VSI Modelling Framework for Process SimulationSimon Grunditz0Gauti Asbjörnsson1Erik Hulthén2Magnus Evertsson3Department of Industrial and Materials Science, Chalmers University of Technology, SE-41296 Göteborg, SwedenDepartment of Industrial and Materials Science, Chalmers University of Technology, SE-41296 Göteborg, SwedenDepartment of Industrial and Materials Science, Chalmers University of Technology, SE-41296 Göteborg, SwedenDepartment of Industrial and Materials Science, Chalmers University of Technology, SE-41296 Göteborg, SwedenThe worldwide shortage of natural sand has created a need for improved methods to create a replacement product. The use of vertical shaft impact (VSI) crushers is one possible solution, since VSI crushers can create particles with a good aspect ratio and smooth surfaces for use in different applications such as in construction. To evaluate the impact a VSI crusher has on the process performance, a more fit-for-purpose model is needed for process simulations. This paper aims to present a modelling framework to improve particle breakage prediction in VSI crushers. The model is based on the theory of energy-based breakage behavior. Particle collision energy data are extracted from discrete element method (DEM) simulations with particle velocities, i.e., rotor speed, as the input. A selection–breakage approach is then used to create the particle size distribution (PSD). For each site, the model is trained with two datasets for the PSDs at different VSI rotor tip speeds. This allows the model to predict the product output for different rotor tip speeds beyond the experimental configurations. A dataset from 24 different sites in Sweden is used for training and validating the model to showcase the robustness of the model. The model presented in this paper has a low barrier for implementation suitable for trying different speeds at existing sites and can be used as a replacement to a manual testing approach.https://www.mdpi.com/2075-163X/11/1/40VSIDEMsandbreakagemodelling
collection DOAJ
language English
format Article
sources DOAJ
author Simon Grunditz
Gauti Asbjörnsson
Erik Hulthén
Magnus Evertsson
spellingShingle Simon Grunditz
Gauti Asbjörnsson
Erik Hulthén
Magnus Evertsson
Fit-for-Purpose VSI Modelling Framework for Process Simulation
Minerals
VSI
DEM
sand
breakage
modelling
author_facet Simon Grunditz
Gauti Asbjörnsson
Erik Hulthén
Magnus Evertsson
author_sort Simon Grunditz
title Fit-for-Purpose VSI Modelling Framework for Process Simulation
title_short Fit-for-Purpose VSI Modelling Framework for Process Simulation
title_full Fit-for-Purpose VSI Modelling Framework for Process Simulation
title_fullStr Fit-for-Purpose VSI Modelling Framework for Process Simulation
title_full_unstemmed Fit-for-Purpose VSI Modelling Framework for Process Simulation
title_sort fit-for-purpose vsi modelling framework for process simulation
publisher MDPI AG
series Minerals
issn 2075-163X
publishDate 2021-12-01
description The worldwide shortage of natural sand has created a need for improved methods to create a replacement product. The use of vertical shaft impact (VSI) crushers is one possible solution, since VSI crushers can create particles with a good aspect ratio and smooth surfaces for use in different applications such as in construction. To evaluate the impact a VSI crusher has on the process performance, a more fit-for-purpose model is needed for process simulations. This paper aims to present a modelling framework to improve particle breakage prediction in VSI crushers. The model is based on the theory of energy-based breakage behavior. Particle collision energy data are extracted from discrete element method (DEM) simulations with particle velocities, i.e., rotor speed, as the input. A selection–breakage approach is then used to create the particle size distribution (PSD). For each site, the model is trained with two datasets for the PSDs at different VSI rotor tip speeds. This allows the model to predict the product output for different rotor tip speeds beyond the experimental configurations. A dataset from 24 different sites in Sweden is used for training and validating the model to showcase the robustness of the model. The model presented in this paper has a low barrier for implementation suitable for trying different speeds at existing sites and can be used as a replacement to a manual testing approach.
topic VSI
DEM
sand
breakage
modelling
url https://www.mdpi.com/2075-163X/11/1/40
work_keys_str_mv AT simongrunditz fitforpurposevsimodellingframeworkforprocesssimulation
AT gautiasbjornsson fitforpurposevsimodellingframeworkforprocesssimulation
AT erikhulthen fitforpurposevsimodellingframeworkforprocesssimulation
AT magnusevertsson fitforpurposevsimodellingframeworkforprocesssimulation
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