On acoustically determining ore types and particle size in tumbling ball mills

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dc.contributor.authorBreitenbach Jaco
dc.contributor.authorWeber David
dc.date.accessioned2011-05-15T15:53:40Z
dc.date.available2011-05-15T15:53:40Z
dc.date.issued1999
dc.description.abstractWe investigate the correlation between audio noise emissions from a laboratory-sized tumbling ball mill and its operating parameters, with focus on particle size and the type of ore inside the mill. We show that the average particle size is directly linked to the average energy in the signal. Where the mill is loaded with a mixture of ores, we demonstrate that a neural network can be trained to determine the ratio of the ores present.
dc.description.versionArticle
dc.identifier.citationIEEE AFRICON Conference
dc.identifier.citation1
dc.identifier.urihttp://hdl.handle.net/10019.1/8744
dc.titleOn acoustically determining ore types and particle size in tumbling ball mills
dc.typeArticle
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