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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao JOMarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2002 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Article . 2002
Data sources: UQ eSpace
UQ eSpace
Article . 2002
Data sources: UQ eSpace
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Predicting slag viscosities in metallurgical systems

Authors: Kondratiev, A.; Jak, E.; Hayes, P. C.;

Predicting slag viscosities in metallurgical systems

Abstract

Slag viscosity is a major process variable for most pyrometallurgical smelting and refining process operations. While extensive measurements have been made of slag viscosities, it is not practicable to provide data on all the possible combinations of compositions and process conditions encountered in metallurgical practice. This article reviews the mathematical models that have been developed to predict slag viscosities and provides some advice on the factors to be considered in their selection and use.

Country
Australia
Keywords

Multidisciplinary, Magmatic Silicate Liquids, Materials Science, 091407 Pyrometallurgy, Materials Science, Multidisciplinary, Mineralogy, Rheological Properties, Melts, Configurational Entropy, Suspensions, Spinel Particles, Binary, Metallurgy & Metallurgical Engineering, Mining & Mineral Processing, Model

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    63
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
63
Top 10%
Top 10%
Average
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