English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10979
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

An approach to blast furnace coke quality prediction

AuthorsÁlvarez García, Ramón ; Díez Díaz-Estébanez, María Antonia ; Barriocanal Rueda, Carmen ; Díaz-Faes González, Elvira ; García Cimadevilla, José Luis
KeywordsCoke quality prediction
Coking coals
Carbonization of complex blends
Issue DateSep-2007
PublisherElsevier
CitationFuel 86(14): 2159-2166 (2007)
AbstractAlthough coke cold drum mechanical strength has historically been the most relevant coke quality parameter, currently coke reactivity and post-reaction strength (CRI/CSR) are the most important parameters used to assess blast-furnace coke quality. Many models of coke quality prediction have been proposed, most of which are based on coal characteristics and limited to the same coal geographic origin, but as yet there is no universally applicable prediction formula. The present work describes a simple model of coke CRI/CSR prediction based on the assumption that the CSR of a coke produced from a blend of coals can be predicted from the CSR obtained from the cokes of the individual coals through the application of the additivity law. The additivity law was also applied to the coke cold mechanical strength indices derived from the Irsid test, which are widely employed by the European coke industry as complementary coke quality indicators.
Description8 pages, 2 figures, 6 tables.-- Available online Dec 19, 2006.-- Issue title: The 6th European Conference on Coal Research and its Applications.
Publisher version (URL)http://dx.doi.org/10.1016/j.fuel.2006.11.026
URIhttp://hdl.handle.net/10261/10979
DOI10.1016/j.fuel.2006.11.026
ISSN0016-2361
Appears in Collections:(INCAR) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.