Contribution to collective works (Parts of books)
The Extented Discrete Element Method (XDEM): An Advanced Approach to Model Blast Furnace
Peters, Bernhard; Maryam, Baniasadi; Baniasadi, Mehdi
2018In Iron Ores and Iron Oxide Materials
Peer reviewed
 

Files


Full Text
60279.pdf
Publisher postprint (1.11 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] The blast furnace iron making is the oldest but still the main method to produce liquid iron through sequential reduction processes of iron ore materials. Despite the existence of several discrete and continuous numerical models, there is no global method to provide detailed information about the processes inside the furnaces. The extended discrete element method known as XDEM is an advance numerical tool based on Eulerian – Lagrangian framework which is able to cover more information about the blast furnace process. Within this plat- form, the continuous phases such as gas and liquid phases are coupled to the discrete entities such as coke and iron ore particles through mass, momentum and energy exchange. This method has been applied to the shaft, cohesive zone, dripping zone and hearth of the blast furnace. In this chapter, the mathematical and numerical methods implemented in the XDEM method are described, and the results are discussed.
Disciplines :
Materials science & engineering
Author, co-author :
Peters, Bernhard ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Maryam, Baniasadi
Baniasadi, Mehdi ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
The Extented Discrete Element Method (XDEM): An Advanced Approach to Model Blast Furnace
Publication date :
11 July 2018
Main work title :
Iron Ores and Iron Oxide Materials
Publisher :
InTech
Pages :
125
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Name of the research project :
blastfurnace
Available on ORBilu :
since 11 July 2018

Statistics


Number of views
227 (21 by Unilu)
Number of downloads
281 (8 by Unilu)

Bibliography


Similar publications



Contact ORBilu