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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 Minerals Engineeringarrow_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
Minerals Engineering
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modern Process Mineralogy: Two case studies

Authors: N.O. Lotter; L.J. Kormos; J. Oliveira; D. Fragomeni; E. Whiteman;

Modern Process Mineralogy: Two case studies

Abstract

Process diagnosis, flowsheet design and optimisation are most effectively and efficiently achieved through the use of metallurgical testwork combined with modern quantitative mineralogical techniques. The integration of these two areas of study form the discipline known as process mineralogy. A brief history of the discipline is described along with the program now in place at Xstrata Process Support (XPS). Representative sampling protocols for orebodies, plant or test products, the use of geometallurgical unit classification, stratified sampling, high confidence metallurgical test programmes, concentrator sampling audits (Benchmark Surveys) and the use of quantitative mineralogy (QEMSCAN and EPMA) are key components of the strategy. Two case studies from Xstrata Nickel’s Nickel Rim South Mine in Sudbury and its Raglan Concentrator in Quebec are described to show how mineralogical data can be integrated into metallurgical programs to assist mineral processing engineers to design and optimise flowsheets and how the use of quantitative mineralogy can be used to benchmark plant performance and enable predictions of performance ahead of plant changes.

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    popularity
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    influence
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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!
49
Top 10%
Top 10%
Top 10%
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