Nsugbe, EjayStarr, AndrewJennions, Ian K.Ruiz Carcel, Cristobal2017-10-182017-10-182017-09-18Nsugbe 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. 2252-22592351-9789http://dx.doi.org/10.1016/j.promfg.2017.07.373https://dspace.lib.cranfield.ac.uk/handle/1826/12653This 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.enhttp://creativecommons.org/licenses/by-nc-nd/4.0/Manufacturing improvementProcess optimisationIn-line monitoringLean productionProcess monitoringNon-contact measurementAcoustic emissionsParticle sizingParticle size distributionArticle