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Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions

The final phase of powder production typically involves a mixing process where all of the particles are combined and agglomerated with a binder to form a single compound. The traditional means of inspecting the physical properties of the final product involves an inspection of the particle sizes usi...

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Autores principales: Nsugbe, Ejay, Ruiz-Carcel, Cristobal, Starr, Andrew, Jennions, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877333/
https://www.ncbi.nlm.nih.gov/pubmed/29534052
http://dx.doi.org/10.3390/s18030851
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author Nsugbe, Ejay
Ruiz-Carcel, Cristobal
Starr, Andrew
Jennions, Ian
author_facet Nsugbe, Ejay
Ruiz-Carcel, Cristobal
Starr, Andrew
Jennions, Ian
author_sort Nsugbe, Ejay
collection PubMed
description The final phase of powder production typically involves a mixing process where all of the particles are combined and agglomerated with a binder to form a single compound. The traditional means of inspecting the physical properties of the final product involves an inspection of the particle sizes using an offline sieving and weighing process. The main downside of this technique, in addition to being an offline-only measurement procedure, is its inability to characterise large agglomerates of powders due to sieve blockage. This work assesses the feasibility of a real-time monitoring approach using a benchtop test rig and a prototype acoustic-based measurement approach to provide information that can be correlated to product quality and provide the opportunity for future process optimisation. Acoustic emission (AE) was chosen as the sensing method due to its low cost, simple setup process, and ease of implementation. The performance of the proposed method was assessed in a series of experiments where the offline quality check results were compared to the AE-based real-time estimations using data acquired from a benchtop powder free flow rig. A designed time domain based signal processing method was used to extract particle size information from the acquired AE signal and the results show that this technique is capable of estimating the required ratio in the washing powder compound with an average absolute error of 6%.
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spelling pubmed-58773332018-04-09 Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions Nsugbe, Ejay Ruiz-Carcel, Cristobal Starr, Andrew Jennions, Ian Sensors (Basel) Article The final phase of powder production typically involves a mixing process where all of the particles are combined and agglomerated with a binder to form a single compound. The traditional means of inspecting the physical properties of the final product involves an inspection of the particle sizes using an offline sieving and weighing process. The main downside of this technique, in addition to being an offline-only measurement procedure, is its inability to characterise large agglomerates of powders due to sieve blockage. This work assesses the feasibility of a real-time monitoring approach using a benchtop test rig and a prototype acoustic-based measurement approach to provide information that can be correlated to product quality and provide the opportunity for future process optimisation. Acoustic emission (AE) was chosen as the sensing method due to its low cost, simple setup process, and ease of implementation. The performance of the proposed method was assessed in a series of experiments where the offline quality check results were compared to the AE-based real-time estimations using data acquired from a benchtop powder free flow rig. A designed time domain based signal processing method was used to extract particle size information from the acquired AE signal and the results show that this technique is capable of estimating the required ratio in the washing powder compound with an average absolute error of 6%. MDPI 2018-03-13 /pmc/articles/PMC5877333/ /pubmed/29534052 http://dx.doi.org/10.3390/s18030851 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nsugbe, Ejay
Ruiz-Carcel, Cristobal
Starr, Andrew
Jennions, Ian
Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions
title Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions
title_full Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions
title_fullStr Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions
title_full_unstemmed Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions
title_short Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions
title_sort estimation of fine and oversize particle ratio in a heterogeneous compound with acoustic emissions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877333/
https://www.ncbi.nlm.nih.gov/pubmed/29534052
http://dx.doi.org/10.3390/s18030851
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