Particle size distribution estimation of a mixture of regular and irregular sized particles using acoustic emissions

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dc.contributor.authorNsugbe, Ejay
dc.contributor.authorStarr, Andrew
dc.contributor.authorJennions, Ian K.
dc.contributor.authorRuiz Carcel, Cristobal
dc.date.accessioned2017-10-18T09:34:34Z
dc.date.available2017-10-18T09:34:34Z
dc.date.issued2017-09-18
dc.description.abstractThis works investigates the possibility of using Acoustic Emissions (AE) to estimate the Particle Size Distribution (PSD) of a mixture of particles that comprise of particles of different densities and geometry. The experiments carried out involved the mixture of a set of glass and polyethylene particles that ranged from 150-212 microns and 150-250microns respectively and an experimental rig that allowed the free fall of a continuous stream of particles on a target plate which the AE sensor was placed. By using a time domain based multiple threshold method, it was observed that the PSD of the particles in the mixture could be estimated.en_UK
dc.identifier.citationNsugbe E, Starr A, Jennions I, Ruiz Carcel C, Particle size distribution estimation of a mixture of regular and irregular sized particles using acoustic emissions, Procedia Manufacturing, Vol. 11, 2017, pp. 2252-2259en_UK
dc.identifier.issn2351-9789
dc.identifier.urihttp://dx.doi.org/10.1016/j.promfg.2017.07.373
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12653
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectManufacturing improvementen_UK
dc.subjectProcess optimisationen_UK
dc.subjectIn-line monitoringen_UK
dc.subjectLean productionen_UK
dc.subjectProcess monitoringen_UK
dc.subjectNon-contact measurementen_UK
dc.subjectAcoustic emissionsen_UK
dc.subjectParticle sizingen_UK
dc.subjectParticle size distributionen_UK
dc.titleParticle size distribution estimation of a mixture of regular and irregular sized particles using acoustic emissionsen_UK
dc.typeArticleen_UK

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