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A numerical investigation on the effect of angular particle shapes on blast furnace burden formation using a GPU enhanced discrete element method

Govender, Nicolin, Wilke, Daniel N., Wu, Chuan-Yu, Tuzun, Ugur and Kureck, Hermann (2019) A numerical investigation on the effect of angular particle shapes on blast furnace burden formation using a GPU enhanced discrete element method Chemical Engineering Science, 204. pp. 9-26.

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Abstract

In blast furnaces, burden topography and packing density affect the stability of the burden, permeability of gas flow as well as the heat transfer efficiency. A fundamental understanding of the influence and interaction of coke and ore particles on the burden topography and packing density is therefore essential, in particular the influence of particle shape polydispersity and particle size polydispersity. In this paper we analyze the effect of particle shape and size polydispersity on the coke and ore charge distribution inside a bell-less blast furnace using the discrete element method (DEM). We first validate experimentally the polyhedral particle model with a simplified lab-scale charging experiment. A comparative study between spheres, with rolling friction to account for shape, and polyhedra is conducted for shape and size polydisperse particle systems. It was found that shape polydispersity mainly influenced the topography of the burden, whereas the size polydispersity mainly influenced the inter-layer percolation, i.e. localized particle diffusion, hence the local spatial packing density. The differences between the spherical particle models and polyhedral particle models on the burden topography are also quantitatively and qualitatively presented, especially on the role of particle shape on the push-up of coke in the centre. This study demonstrates that modelling particle shape effects using spheres with rolling friction is insufficient to fully describe the complex behaviour of shaped particles in a blast furnace, as the particle shape has a noteworthy influence on the burden characteristics.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Govender, Nicolinn.govender@surrey.ac.uk
Wilke, Daniel N.
Wu, Chuan-Yuc.y.wu@surrey.ac.uk
Tuzun, Ugur
Kureck, Hermann
Date : 31 August 2019
Funders : European Union's Horizon 2020
DOI : 10.1016/j.ces.2019.03.077
Grant Title : People Programme (MARIE Sklodowska-CURIE Actions)
Copyright Disclaimer : © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : DEM; Blast furnace charging; Particle shape; GPU; Large scale
Related URLs :
Additional Information : This work was supported by the MARIE Sklodowska-CURIE Individual Fellowships with acronym DECRON, funded through the People Programme (MARIE Sklodowska-CURIE Actions) of the European Union’s H2020 under REA grant agreement No. 747963. We gratefully acknowledge the support of the NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. The financial support of the National Research Foundation (NRF) of South Africa is acknowledged.
Depositing User : Clive Harris
Date Deposited : 16 May 2019 10:57
Last Modified : 11 Apr 2020 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/851833

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