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

6th International Conference on Manufacturing Engineering and Process

工业技术;物理学

Nsugbe, Ejay^1 ; Starr, Andrew^1 ; Jennions, Ian^1 ; Carcel, Cristobal Ruiz^1

Cranfield University, College Rd, Cranfield

MK43 0AL, United Kingdom^1

关键词: Flow properties;    Glass bead;    Key qualities;    Particle impact;    Particle processing;    Threshold analysis;    Time domain;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/885/1/012009/pdf
DOI  :  10.1088/1742-6596/885/1/012009

学科分类：工业工程学

来源: IOP

【 摘 要 】

Particle 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.