Online particle size distribution estimation of a mixture of similar sized particles with acoustic emissions

dc.contributor.authorNsugbe, Ejay
dc.contributor.authorStarr, Andrew
dc.contributor.authorJennions, Ian K.
dc.contributor.authorRuiz Carcel, Cristobal
dc.date.accessioned2017-10-18T09:12:19Z
dc.date.available2017-10-18T09:12:19Z
dc.date.issued2017-08-29
dc.description.abstractParticle processing plants regard the Particle Size Distribution (PSD) as a key quality factor as it influences the bulk and flow properties of the particles. In this work, Acoustic Emission (AE) is used to estimate the PSD of a mixture that comprise of similar sized particles. The experiments involved the use of regular sized particles (glass beads) and with the aid of a time domain based threshold analysis of the particle impacts the PSD of the mixtures could be estimated.en_UK
dc.identifier.citationNsugbe E, Starr A, Jennions I, Ruiz-Carcel C. (2017) Online particle size distribution estimation of a mixture of similar sized particles with acoustic emissions. Journal of Physics: Conference Series, Volume 885, 2017, Paper 012009en_UK
dc.identifier.issn1742-6588
dc.identifier.urihttp://dx.doi.org/10.1088/1742-6596/885/1/012009
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12652
dc.language.isoenen_UK
dc.publisherIOP Publishingen_UK
dc.rightsAttribution 3.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleOnline particle size distribution estimation of a mixture of similar sized particles with acoustic emissionsen_UK
dc.typeArticleen_UK

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