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DECRON SIGNED

Development of eco-friendly ironmaking processes based onGPU-enhanced DEM-CFD modelling

Total Cost €

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EC-Contrib. €

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Partnership

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Project "DECRON" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF SURREY 

Organization address
address: Stag Hill
city: GUILDFORD
postcode: GU2 7XH
website: www.surrey.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://www.surrey.ac.uk/development-eco-friendly-ironmaking-processes-based-gpu-enhanced-dem-modelling
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2019-12-05

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF SURREY UK (GUILDFORD) coordinator 195˙454.00

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 Project objective

Blast furnaces are widely used in the iron-making industry. The running of blast furnaces consumes 60% energy of whole steel industry and is primarily responsible for the CO2 blueprints in steel plants. As the steel industry is suffering much with the increase iron ore prices and global economy recession in recent years, it has now become a urgent need to adopt innovative approaches to reduce the production cost in iron-making. It is well recognized that the development of eco-friendly steel plants are urgently demanded. DECRON provides a unique and timely opportunity to bring together the fellow’s research experience in the high performance computing, GPU and discrete element modelling (DEM) with the supervisor’s extensive experience in coupled DEM with computational fluid dynamics (DEM-CFD), particle flow, packing and segregation. This will result in the development of novel charging methods for blast furnaces based upon a thorough micro-mechanistic understanding of the process using GPU-enhanced DEM-CFD, and lead to more precision and better controlled charging systems for blast furnaces. DECRON will for the first time devise an indisputable technological innovation and establish feasible strategies to achieve controlled burden distribution in blast furnaces, which will maximise energy efficiency and reduce CO2 emission in iron-making processes.

 Publications

year authors and title journal last update
List of publications.
2018 Nicolin Govender, Raj Rajamani, Daniel N. Wilke, Chuan-Yu Wu, Johannes Khinast, Benjamin J. Glasser
Effect of particle shape in grinding mills using a GPU based DEM code
published pages: 71-84, ISSN: 0892-6875, DOI: 10.1016/j.mineng.2018.09.019
Minerals Engineering 129 2020-01-28

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