Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket
Failure in industrial processes is often related to wear and can cause significant problems. It is estimated that approximately 1–4% of the gross national product for an industrialized nation is related to abrasive wear. This work aims to numerically predict development of wear for full-scale mining...
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ftmdpi:oai:mdpi.com:/2075-163X/11/6/623/ 2023-08-20T04:04:52+02:00 Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket Andreas Svanberg Simon Larsson Rikard Mäki Pär Jonsén agris 2021-06-11 application/pdf https://doi.org/10.3390/min11060623 EN eng Multidisciplinary Digital Publishing Institute Mineral Processing and Extractive Metallurgy https://dx.doi.org/10.3390/min11060623 https://creativecommons.org/licenses/by/4.0/ Minerals; Volume 11; Issue 6; Pages: 623 mining simulation discrete element method DEM full-scale wear validation mining equipment Text 2021 ftmdpi https://doi.org/10.3390/min11060623 2023-08-01T01:56:11Z Failure in industrial processes is often related to wear and can cause significant problems. It is estimated that approximately 1–4% of the gross national product for an industrialized nation is related to abrasive wear. This work aims to numerically predict development of wear for full-scale mining applications in harsh sub-arctic conditions. The purpose is to increase the understanding of wear development in industrial processes and optimize service life and minimize costs related to wear. In the present paper, a granular material model consisting of the discrete element method (DEM) and rigid finite element particles is utilized to study wear in full-scale mining applications where granular materials and steel structures are present. A wear model with the basis in Finnie’s wear model is developed to calculate wear from combined abrasive sliding and impact wear. Novel in situ full-scale experiments are presented for calibration of the wear model. A simulation model of the rope shovel loading process is set up where the bucket filling process is simulated several times, and the wear is calculated with the calibrated wear model. From the full-scale validation, it is shown that the simulated wear is in excellent agreement when compared to the experiments, both regarding wear locations and magnitudes. After validation, the model is utilized to study if wear can be minimized by making small changes to the bucket. One major conclusion from the work is that the presented wear simulator is a suitable tool that can be used for product development and optimization of the loading process. Text Arctic MDPI Open Access Publishing Arctic Minerals 11 6 623 |
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MDPI Open Access Publishing |
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language |
English |
topic |
mining simulation discrete element method DEM full-scale wear validation mining equipment |
spellingShingle |
mining simulation discrete element method DEM full-scale wear validation mining equipment Andreas Svanberg Simon Larsson Rikard Mäki Pär Jonsén Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket |
topic_facet |
mining simulation discrete element method DEM full-scale wear validation mining equipment |
description |
Failure in industrial processes is often related to wear and can cause significant problems. It is estimated that approximately 1–4% of the gross national product for an industrialized nation is related to abrasive wear. This work aims to numerically predict development of wear for full-scale mining applications in harsh sub-arctic conditions. The purpose is to increase the understanding of wear development in industrial processes and optimize service life and minimize costs related to wear. In the present paper, a granular material model consisting of the discrete element method (DEM) and rigid finite element particles is utilized to study wear in full-scale mining applications where granular materials and steel structures are present. A wear model with the basis in Finnie’s wear model is developed to calculate wear from combined abrasive sliding and impact wear. Novel in situ full-scale experiments are presented for calibration of the wear model. A simulation model of the rope shovel loading process is set up where the bucket filling process is simulated several times, and the wear is calculated with the calibrated wear model. From the full-scale validation, it is shown that the simulated wear is in excellent agreement when compared to the experiments, both regarding wear locations and magnitudes. After validation, the model is utilized to study if wear can be minimized by making small changes to the bucket. One major conclusion from the work is that the presented wear simulator is a suitable tool that can be used for product development and optimization of the loading process. |
format |
Text |
author |
Andreas Svanberg Simon Larsson Rikard Mäki Pär Jonsén |
author_facet |
Andreas Svanberg Simon Larsson Rikard Mäki Pär Jonsén |
author_sort |
Andreas Svanberg |
title |
Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket |
title_short |
Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket |
title_full |
Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket |
title_fullStr |
Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket |
title_full_unstemmed |
Full-Scale Simulation and Validation of Wear for a Mining Rope Shovel Bucket |
title_sort |
full-scale simulation and validation of wear for a mining rope shovel bucket |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/min11060623 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Minerals; Volume 11; Issue 6; Pages: 623 |
op_relation |
Mineral Processing and Extractive Metallurgy https://dx.doi.org/10.3390/min11060623 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/min11060623 |
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Minerals |
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11 |
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