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dc.contributor.authorYang, X.
dc.contributor.authorAldrich, Chris
dc.date.accessioned2017-01-30T12:18:30Z
dc.date.available2017-01-30T12:18:30Z
dc.date.created2015-09-29T02:03:57Z
dc.date.issued2005
dc.identifier.citationYang, X. and Aldrich, C. 2005. Development of neurocontrollers with evolutionary reinforcement learning. International Journal of Mineral Processing. 77(2): pp. 95-103.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/20304
dc.description.abstract

Non-magnetized suspensions of magnetite particles with concentrations in excess of 30% by mass and particle size less than 75 Am exhibit Bingham plastic behaviour. When exposed to external magnetic fields of strengths in excess of 41104 T, the rheological behaviour of the suspensions departs from the Bingham model and can be described by a Herschel–Bulkley model of the form s =s0+kcn. The value of the index n was found to range from 0.38 to 0.9, depending on the magnetic field strength, solids concentration and particle size and correlations are proposed for the apparent viscosity of magnetized suspensions as a function of magnetic field strength and solids concentration.

dc.publisherElsevier
dc.subjectviscosity
dc.subjectrheology
dc.subjectrheological models
dc.subjectmagnetite
dc.titleDevelopment of neurocontrollers with evolutionary reinforcement learning
dc.typeJournal Article
dcterms.source.volume77(2)
dcterms.source.startPage95
dcterms.source.endPage103
dcterms.source.issn03017516
dcterms.source.titleInternational Journal of Mineral Processing
curtin.accessStatusFulltext not available


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