Abstract

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.

Highlights

  • Introduction and related works summary TheParticle Size Distribution (PSD) is an important quality attribute of various kinds of particle processing settings that range from granulators, batch agglomeration mixers, coal milling plants, fluidised beds and pneumatically conveyed systems.[1,2,3,4,5] The need for particle size monitoring methods has seen several technologies developed, some of which have been used in industrial based settings while others are still limited controlled laboratory based systems.[4]

  • Notable Acoustic Emission (AE) based particle sizing began with the work of Leach and Buttle, who observed that a linear relationship exists between particle sizes and their respective AE amplitude.[7][8] The work done by Buttle et al in a vacuum tube assisted in the validation of Leach’s theory and provided a mathematical representation of this principle which is referred to as the signal shaping chain and can be seen in figure 1.[8]. Buttle quantitatively sized particles using a quantitative sizing technique but due to the deconvolution of each impact peak associated with the signal analysis, this method would be unsuitable to industrial cases where the particle events overlap each other.[2,5,8]

  • 90 microns while Ren et al’s method was seen to not be adaptive enough to work in processes where the final powder mix ratio varies significantly. [4,5] This paper details the results of an experimental study on a research based on the estimation of the PSD of powder mixtures with AE using a novel signal processing method. [2,9,12] With the goal of this experiment in this report being to observe the performance of the previously designed signal processing method in estimating the PSD of powder mixtures that comprise of similar sized particles

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Summary

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- Acoustic emission during fracture of ceramic superconducting materials L Wony, A Kisiel and K ysy. - Application of Finite Elements Method for Improvement of Acoustic Emission Testing S Gerasimov, T Sych and V Kuleshov. - Regularities of Acoustic Emission in the Freight Car Solebar Materials S Bekher. This content was downloaded from IP address 138.250.27.148 on 17/10/2017 at 16:50

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Particle Class
Small Particle Percentage In Mixture
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