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H2020Individual fellowship2017–2019

DECRON · Development of eco-friendly ironmaking processes based on GPU-enhanced DEM-CFD modelling

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2017-12-01 → 2019-12-05
EU contribution
€195,455
Participants
1
Scheme
MSCA-IF-EF-ST

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Results in brief

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

The aims of this project was to provide insight into the blast furnace charging which involves the feeding of feed materials (coke and ore) into the top of the furnace. This is important as the steel making industry in the EU is under serve strain owing to increased production costs and emission levels, thus been able to optimise the operation of blast furnaces will lower production costs as well as reduce emissions. Due to the extreme nature of a blast furnace obtaining information via experimental means is limited. Therefore this project aimed to use numerical modelling techniques in-order to provide a simulation of the relevant processes during blast furnace charging. While there have been a number of simulation studies on blast furnace charging they have all used simplified particle shapes in-order to reduce computational run times. Thus the focus of this project has been to shed light on the effect that the particle shape has on the simulation results thus its ability to provide a closer match to reality. The main objective of this project has been to demonstrate how particle shape can change the spatial topology of the packed bed thus allowing blast furnace operations to achieve the desired distribution of the feed materials in the blast furnace.

Data: CORDIS, © European Union

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.

Original text from CORDIS.

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Data: CORDIS, © European Union