Discrete element model calibration for industrial raw material simulations

The use of computational fluid dynamics in continuous operation industries have become more prominent in recent times. Proposed system improvements through geometric changes or control strategies can be evaluated within a relatively shorter timeframe. Applications for discrete element methods (DEMs)...

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Autores principales:	Bester Johan, Venter Philip, van Eldik Martin
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/c995e927ed254f45825042c213123381
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id	oai:doaj.org-article:c995e927ed254f45825042c213123381
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spelling	oai:doaj.org-article:c995e927ed254f45825042c2131233812021-12-02T17:13:35ZDiscrete element model calibration for industrial raw material simulations2261-236X10.1051/matecconf/202134700036https://doaj.org/article/c995e927ed254f45825042c2131233812021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/16/matecconf_sacam21_00036.pdfhttps://doaj.org/toc/2261-236XThe use of computational fluid dynamics in continuous operation industries have become more prominent in recent times. Proposed system improvements through geometric changes or control strategies can be evaluated within a relatively shorter timeframe. Applications for discrete element methods (DEMs) in real life simulations, however, require validated material-calibration-methods. In this paper, the V-model methodology in combination with direct and bulk calibration approaches were followed to determine material model parameters, to simulate real life occurrences. For the bulk calibration approach a test rig with a containment hopper, deflection plate and settling zone was used. Screened material drains from the hopper, interacts with the deflection plate, and then settles at the material angle of repose. A high-speed camera captured material interaction with the rig, where footage was used during simulation validation. The direct measuring approach was used to determine particle size, shape and density, while confirming friction and restitution coefficients determined in the bulk calibration method. The test was repeated and validated for various geometrical changes. Three categories of validation were established, namely particle speed assessment, -trajectory assessment and -plate interaction assessment. In conclusion, the combination of direct and bulk calibration approaches was significant in calibrating the required material model parameters.Bester JohanVenter Philipvan Eldik MartinEDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 347, p 00036 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Bester Johan Venter Philip van Eldik Martin Discrete element model calibration for industrial raw material simulations
description	The use of computational fluid dynamics in continuous operation industries have become more prominent in recent times. Proposed system improvements through geometric changes or control strategies can be evaluated within a relatively shorter timeframe. Applications for discrete element methods (DEMs) in real life simulations, however, require validated material-calibration-methods. In this paper, the V-model methodology in combination with direct and bulk calibration approaches were followed to determine material model parameters, to simulate real life occurrences. For the bulk calibration approach a test rig with a containment hopper, deflection plate and settling zone was used. Screened material drains from the hopper, interacts with the deflection plate, and then settles at the material angle of repose. A high-speed camera captured material interaction with the rig, where footage was used during simulation validation. The direct measuring approach was used to determine particle size, shape and density, while confirming friction and restitution coefficients determined in the bulk calibration method. The test was repeated and validated for various geometrical changes. Three categories of validation were established, namely particle speed assessment, -trajectory assessment and -plate interaction assessment. In conclusion, the combination of direct and bulk calibration approaches was significant in calibrating the required material model parameters.
format	article
author	Bester Johan Venter Philip van Eldik Martin
author_facet	Bester Johan Venter Philip van Eldik Martin
author_sort	Bester Johan
title	Discrete element model calibration for industrial raw material simulations
title_short	Discrete element model calibration for industrial raw material simulations
title_full	Discrete element model calibration for industrial raw material simulations
title_fullStr	Discrete element model calibration for industrial raw material simulations
title_full_unstemmed	Discrete element model calibration for industrial raw material simulations
title_sort	discrete element model calibration for industrial raw material simulations
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/c995e927ed254f45825042c213123381
work_keys_str_mv	AT besterjohan discreteelementmodelcalibrationforindustrialrawmaterialsimulations AT venterphilip discreteelementmodelcalibrationforindustrialrawmaterialsimulations AT vaneldikmartin discreteelementmodelcalibrationforindustrialrawmaterialsimulations
_version_	1718381345599651840

Discrete element model calibration for industrial raw material simulations

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