Prediction of wear via DEM and phenomenological models

The Discrete Element Method (DEM) is a computational method used to describe the movement of a large number of particle of different sized and shapes, which interact through a contact model. Among other applications, in the field of mining DEM have been used extensively for predicting the trajectory...

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Detalles Bibliográficos
Autores principales: Perazzo, Franco, Löhner, Rainald
Formato: Objeto de conferencia Resumen
Lenguaje:Español
Publicado: 2017
Materias:
Ingeniería
Archard Wear Model
Discrete Element Methods
SAG Mill
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/94489
https://cimec.org.ar/ojs/index.php/mc/article/view/5260
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-94489
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ingeniería
Archard Wear Model
Discrete Element Methods
SAG Mill
spellingShingle Ingeniería
Archard Wear Model
Discrete Element Methods
SAG Mill
Perazzo, Franco
Löhner, Rainald
Prediction of wear via DEM and phenomenological models
topic_facet Ingeniería
Archard Wear Model
Discrete Element Methods
SAG Mill
description The Discrete Element Method (DEM) is a computational method used to describe the movement of a large number of particle of different sized and shapes, which interact through a contact model. Among other applications, in the field of mining DEM have been used extensively for predicting the trajectory of material inside Semi-Autogenous Grinding (SAG) mills and in the chutes of minerals transfer. However, no calculations that predict the wear of the enclosing walls have been performed to date. After an extensive review of the literature, a methodology to predict wear via DEM and phenomenological wear models has been developed. The decision was taken to use Archard's model (one of the simplest yet most accurate models proposed to date) in the context of DEM. Given that the wear occurs in a matter of weeks or months, and that a DEM run of even a minute can consume copious amounts of computer resources, a separation of timescales was implemented. For each stage of the overall cycle, the present configuration is run for a relatively small amount of physical time (from T0 to T1) in order to get the statistics of wear. For a mill, this could be a few rotations. For all the faces on the boundaries, the wear is updated every time step. At the end of the DEM run, the total change in volume is used to compute a `recession speed' for each face. The recession speed is then used to extrapolate the recession distance (i.e. the wear) from T0 to a much larger time T2. Once the surface is moved via the recession distance, the run is restarted and the cycle repeats. The result obtained to date show that the methodology is able to compute realistic wear patterns with CPU requirements that are acceptable in an engineering design environment.
format Objeto de conferencia
Resumen
author Perazzo, Franco
Löhner, Rainald
author_facet Perazzo, Franco
Löhner, Rainald
author_sort Perazzo, Franco
title Prediction of wear via DEM and phenomenological models
title_short Prediction of wear via DEM and phenomenological models
title_full Prediction of wear via DEM and phenomenological models
title_fullStr Prediction of wear via DEM and phenomenological models
title_full_unstemmed Prediction of wear via DEM and phenomenological models
title_sort prediction of wear via dem and phenomenological models
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/94489
https://cimec.org.ar/ojs/index.php/mc/article/view/5260
work_keys_str_mv AT perazzofranco predictionofwearviademandphenomenologicalmodels
AT lohnerrainald predictionofwearviademandphenomenologicalmodels
bdutipo_str Repositorios
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