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dc.contributor.authorÁlvarez García, Ramón-
dc.contributor.authorDíez Díaz-Estébanez, María Antonia-
dc.contributor.authorBarriocanal Rueda, Carmen-
dc.contributor.authorDíaz-Faes González, Elvira-
dc.contributor.authorGarcía Cimadevilla, José Luis-
dc.date.accessioned2009-02-25T10:43:41Z-
dc.date.available2009-02-25T10:43:41Z-
dc.date.issued2007-09-
dc.identifier.citationFuel 86(14): 2159-2166 (2007)en_US
dc.identifier.issn0016-2361-
dc.identifier.urihttp://hdl.handle.net/10261/10979-
dc.description8 pages, 2 figures, 6 tables.-- Available online Dec 19, 2006.-- Issue title: The 6th European Conference on Coal Research and its Applications.en_US
dc.description.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.en_US
dc.description.sponsorshipThe authors are grateful to European Coal Steel Community for the financial support (Project 7220 - PR/068).en_US
dc.format.extent22195 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsclosedAccessen_US
dc.subjectCoke quality predictionen_US
dc.subjectCoking coalsen_US
dc.subjectCarbonization of complex blendsen_US
dc.titleAn approach to blast furnace coke quality predictionen_US
dc.typeartículoen_US
dc.identifier.doi10.1016/j.fuel.2006.11.026-
dc.description.peerreviewedPeer revieweden_US
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.fuel.2006.11.026en_US
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeartículo-
item.cerifentitytypePublications-
item.grantfulltextnone-
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