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Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor

A gyratory crusher is a key mineral processing asset in a comminution circuit. Monitoring and predicting the crusher liner wear is essential to ensure the throughput and product quality are maintained during production. This study developed a digital sensor and a discrete element modelling (DEM)-cou...

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Detalles Bibliográficos
Autores principales: Ou, Tao, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647848/
https://www.ncbi.nlm.nih.gov/pubmed/37960517
http://dx.doi.org/10.3390/s23218818
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author Ou, Tao
Chen, Wei
author_facet Ou, Tao
Chen, Wei
author_sort Ou, Tao
collection PubMed
description A gyratory crusher is a key mineral processing asset in a comminution circuit. Monitoring and predicting the crusher liner wear is essential to ensure the throughput and product quality are maintained during production. This study developed a digital sensor and a discrete element modelling (DEM)-coupled methodology to monitor and reconstruct the gyratory crusher concave liner wear pattern. The developed digital sensor was able to track and report the live thickness of the specific installation point on a concave liner during operation. A wear reconstruction model was then developed based on the wear intensity obtained using the DEM and digital sensor results. The wear reconstruction model predictive results were subsequently compared with site measurements after 95 days of operation. The results indicated that the wear reconstruction model showed good agreement with measured results in terms of wear zone distribution as well as quantitative wear rate prediction. The outcome of this study can be potentially utilised in the mineral processing industry for plant monitoring and automation.
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spelling pubmed-106478482023-10-30 Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor Ou, Tao Chen, Wei Sensors (Basel) Article A gyratory crusher is a key mineral processing asset in a comminution circuit. Monitoring and predicting the crusher liner wear is essential to ensure the throughput and product quality are maintained during production. This study developed a digital sensor and a discrete element modelling (DEM)-coupled methodology to monitor and reconstruct the gyratory crusher concave liner wear pattern. The developed digital sensor was able to track and report the live thickness of the specific installation point on a concave liner during operation. A wear reconstruction model was then developed based on the wear intensity obtained using the DEM and digital sensor results. The wear reconstruction model predictive results were subsequently compared with site measurements after 95 days of operation. The results indicated that the wear reconstruction model showed good agreement with measured results in terms of wear zone distribution as well as quantitative wear rate prediction. The outcome of this study can be potentially utilised in the mineral processing industry for plant monitoring and automation. MDPI 2023-10-30 /pmc/articles/PMC10647848/ /pubmed/37960517 http://dx.doi.org/10.3390/s23218818 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ou, Tao
Chen, Wei
Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor
title Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor
title_full Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor
title_fullStr Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor
title_full_unstemmed Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor
title_short Modelling of Gyratory Crusher Liner Wear Using a Digital Wireless Sensor
title_sort modelling of gyratory crusher liner wear using a digital wireless sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647848/
https://www.ncbi.nlm.nih.gov/pubmed/37960517
http://dx.doi.org/10.3390/s23218818
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