Estimation of large domain Al foam permeability by Finite Difference methods

Classical methods to calculate permeability of porous media have been proposed mainly for high density (e.g. granular) materials -- These methods present shortcomings in high porosity, i.e. high permeability media (e.g. metallic foams) -- While for dense materials permeability seems to be a function...

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Autores:
Osorno, María
Steeb, Holger
Uribe, David
Ruíz, Óscar
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/9667
Acceso en línea:
http://hdl.handle.net/10784/9667
Palabra clave:
ECUACIONES DE NAVIER - STOKES
PROCESOS ESTOCÁSTICOS
MÉTODO DE ELEMENTOS FINITOS
TOMOGRAFÍA COMPUTARIZADA POR RAYOS X
POROSIDAD
PERMEABILIDAD
CÁLCULO NUMÉRICO
LEY DE DARCY
ANÁLISIS MATEMÁTICO
Navier-stokes equations
Stochastic processes
Finite element method
Tomography, X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
Navier-stokes equations
Stochastic processes
Finite element method
Tomography
X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
Modelado geométrico
Ecuación de Boltzmann
Rights
License
Acceso cerrado
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oai_identifier_str oai:repository.eafit.edu.co:10784/9667
network_acronym_str REPOEAFIT2
network_name_str Repositorio EAFIT
repository_id_str
dc.title.eng.fl_str_mv Estimation of large domain Al foam permeability by Finite Difference methods
title Estimation of large domain Al foam permeability by Finite Difference methods
spellingShingle Estimation of large domain Al foam permeability by Finite Difference methods
ECUACIONES DE NAVIER - STOKES
PROCESOS ESTOCÁSTICOS
MÉTODO DE ELEMENTOS FINITOS
TOMOGRAFÍA COMPUTARIZADA POR RAYOS X
POROSIDAD
PERMEABILIDAD
CÁLCULO NUMÉRICO
LEY DE DARCY
ANÁLISIS MATEMÁTICO
Navier-stokes equations
Stochastic processes
Finite element method
Tomography, X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
Navier-stokes equations
Stochastic processes
Finite element method
Tomography
X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
Modelado geométrico
Ecuación de Boltzmann
title_short Estimation of large domain Al foam permeability by Finite Difference methods
title_full Estimation of large domain Al foam permeability by Finite Difference methods
title_fullStr Estimation of large domain Al foam permeability by Finite Difference methods
title_full_unstemmed Estimation of large domain Al foam permeability by Finite Difference methods
title_sort Estimation of large domain Al foam permeability by Finite Difference methods
dc.creator.fl_str_mv Osorno, María
Steeb, Holger
Uribe, David
Ruíz, Óscar
dc.contributor.department.spa.fl_str_mv Universidad EAFIT. Departamento de Ingeniería Mecánica
dc.contributor.author.none.fl_str_mv Osorno, María
Steeb, Holger
Uribe, David
Ruíz, Óscar
dc.contributor.researchgroup.spa.fl_str_mv Laboratorio CAD/CAM/CAE
dc.subject.lemb.spa.fl_str_mv ECUACIONES DE NAVIER - STOKES
PROCESOS ESTOCÁSTICOS
MÉTODO DE ELEMENTOS FINITOS
TOMOGRAFÍA COMPUTARIZADA POR RAYOS X
POROSIDAD
PERMEABILIDAD
CÁLCULO NUMÉRICO
LEY DE DARCY
ANÁLISIS MATEMÁTICO
topic ECUACIONES DE NAVIER - STOKES
PROCESOS ESTOCÁSTICOS
MÉTODO DE ELEMENTOS FINITOS
TOMOGRAFÍA COMPUTARIZADA POR RAYOS X
POROSIDAD
PERMEABILIDAD
CÁLCULO NUMÉRICO
LEY DE DARCY
ANÁLISIS MATEMÁTICO
Navier-stokes equations
Stochastic processes
Finite element method
Tomography, X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
Navier-stokes equations
Stochastic processes
Finite element method
Tomography
X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
Modelado geométrico
Ecuación de Boltzmann
dc.subject.keyword.spa.fl_str_mv Navier-stokes equations
Stochastic processes
Finite element method
Tomography, X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
dc.subject.keyword.eng.fl_str_mv Navier-stokes equations
Stochastic processes
Finite element method
Tomography
X-ray computed
Porosity
Permeability
Numerical calculations
Darcy's law
Mathematical analysis
dc.subject.keyword..keywor.fl_str_mv Modelado geométrico
Ecuación de Boltzmann
description Classical methods to calculate permeability of porous media have been proposed mainly for high density (e.g. granular) materials -- These methods present shortcomings in high porosity, i.e. high permeability media (e.g. metallic foams) -- While for dense materials permeability seems to be a function of bulk properties and occupancy averaged over the volume, for highly porous materials these parameters fail to predict it -- Several authors have attacked the problem by solving the Navier-Stokes equations for the pressure and velocity of a liquid flowing through a small domain (Ωs) of aluminium foam and by comparing the numerical results with experimental values (prediction error approx. 9%) -- In this article, we present calculations for much larger domains (ΩL) using the Finite Difference (FD) method, solving also for the pressure and velocity of a viscous liquid flowing through the Packed Spheres scenario -- The ratio Vol(ΩL)/Vol(Ωs) is around 103 -- The comparison of our results with the Packed Spheres example yields a prediction error of 5% for the intrinsic permeability -- Additionally, numerical permeability calculations have been performed for Al foam samples -- Our geometric modelling of the porous domain stems from 3D X-ray tomography, yielding voxel information, which is particularly appropriate for FD -- Ongoing work concerns the reduction in computing times of the FD method, consideration of other materials and fluids, and comparison with experimental data
publishDate 2013
dc.date.issued.none.fl_str_mv 2013
dc.date.available.none.fl_str_mv 2016-11-18T21:54:17Z
dc.date.accessioned.none.fl_str_mv 2016-11-18T21:54:17Z
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
article
info:eu-repo/semantics/publishedVersion
publishedVersion
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 1617-7061
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/9667
dc.identifier.doi.none.fl_str_mv 10.1002/pamm.201310119
identifier_str_mv 1617-7061
10.1002/pamm.201310119
url http://hdl.handle.net/10784/9667
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv PAMM, Volume 13, Issue 1, pp 247-248
dc.relation.uri.none.fl_str_mv http://onlinelibrary.wiley.com/doi/10.1002/pamm.201310119/abstract
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_14cb
dc.rights.local.spa.fl_str_mv Acceso cerrado
rights_invalid_str_mv Acceso cerrado
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dc.format.eng.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv WILEY-VCH Verlag
institution Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/7081d0dd-e376-4c62-adf9-fef875e75b5d/download
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spelling 2016-11-18T21:54:17Z20132016-11-18T21:54:17Z1617-7061http://hdl.handle.net/10784/966710.1002/pamm.201310119Classical methods to calculate permeability of porous media have been proposed mainly for high density (e.g. granular) materials -- These methods present shortcomings in high porosity, i.e. high permeability media (e.g. metallic foams) -- While for dense materials permeability seems to be a function of bulk properties and occupancy averaged over the volume, for highly porous materials these parameters fail to predict it -- Several authors have attacked the problem by solving the Navier-Stokes equations for the pressure and velocity of a liquid flowing through a small domain (Ωs) of aluminium foam and by comparing the numerical results with experimental values (prediction error approx. 9%) -- In this article, we present calculations for much larger domains (ΩL) using the Finite Difference (FD) method, solving also for the pressure and velocity of a viscous liquid flowing through the Packed Spheres scenario -- The ratio Vol(ΩL)/Vol(Ωs) is around 103 -- The comparison of our results with the Packed Spheres example yields a prediction error of 5% for the intrinsic permeability -- Additionally, numerical permeability calculations have been performed for Al foam samples -- Our geometric modelling of the porous domain stems from 3D X-ray tomography, yielding voxel information, which is particularly appropriate for FD -- Ongoing work concerns the reduction in computing times of the FD method, consideration of other materials and fluids, and comparison with experimental dataapplication/pdfengWILEY-VCH VerlagPAMM, Volume 13, Issue 1, pp 247-248http://onlinelibrary.wiley.com/doi/10.1002/pamm.201310119/abstractAcceso cerradohttp://purl.org/coar/access_right/c_14cbEstimation of large domain Al foam permeability by Finite Difference methodsinfo:eu-repo/semantics/articlearticleinfo:eu-repo/semantics/publishedVersionpublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1ECUACIONES DE NAVIER - STOKESPROCESOS ESTOCÁSTICOSMÉTODO DE ELEMENTOS FINITOSTOMOGRAFÍA COMPUTARIZADA POR RAYOS XPOROSIDADPERMEABILIDADCÁLCULO NUMÉRICOLEY DE DARCYANÁLISIS MATEMÁTICONavier-stokes equationsStochastic processesFinite element methodTomography, X-ray computedPorosityPermeabilityNumerical calculationsDarcy's lawMathematical analysisNavier-stokes equationsStochastic processesFinite element methodTomographyX-ray computedPorosityPermeabilityNumerical calculationsDarcy's lawMathematical analysisModelado geométricoEcuación de BoltzmannUniversidad EAFIT. Departamento de Ingeniería MecánicaOsorno, MaríaSteeb, HolgerUribe, DavidRuíz, ÓscarLaboratorio CAD/CAM/CAEPAMMPAMM131247248ORIGINALEstimation-of-large.pdfEstimation-of-large.pdfWeb Page Printapplication/pdf182818https://repository.eafit.edu.co/bitstreams/7081d0dd-e376-4c62-adf9-fef875e75b5d/download683d40117a6761797df56cdb2ec04e75MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/03fa4f57-cbfc-48bd-882f-e0092bbf373b/download76025f86b095439b7ac65b367055d40cMD5110784/9667oai:repository.eafit.edu.co:10784/96672022-11-08 11:25:44.63open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.coSS4gT0JSQVMgWUEgUFVCTElDQURBUwoKUGFyYSBvYnJhcyB5YSBwdWJsaWNhZGFzIHNlIHJlcXVpZXJlLCBwYXJhIGVsIGFyY2hpdm8geSBkaXZ1bGdhY2nDs24gZW4gZWwgUmVwb3NpdG9yaW8gSW5zdGl0dWNpb25hbCBkZSBsYSBVbml2ZXJzaWRhZCBFQUZJVCwgcXVlIGVsIGF1dG9yIGNvbm96Y2EgeSB2YWxpZGUgbGFzIGNvbmRpY2lvbmVzIGVuIHF1ZSBoYSBzdXNjcml0byBsb3MgYWN1ZXJkb3MgZGUgY2VzacOzbiBvIGxpY2VuY2lhIGRlIGRlcmVjaG9zIGRlIGF1dG9yIGNvbiBsYShzKSBlZGl0b3JpYWwoZXMpIGVuIGxhcyBxdWUgaGEgcHVibGljYWRvIGxhIG9icmEuCgpFc3RhIHZlcmlmaWNhY2nDs24gc2UgcHVlZGUgcmVhbGl6YXIgY29uc3VsdGFuZG8gbGFzIGJhc2VzIGRlIGRhdG9zIFNIRVJQQSAvIFJPTUVPIHkgRFVMQ0lORUEsIHBhcmEgY29ub2NlciBsYSBwb2zDrXRpY2Egc29icmUgZGVyZWNob3MgZGUgYXV0b3IgZGUgbGEgcmVzcGVjdGl2YSBlZGl0b3JpYWwuIEVuIGNhc28gZGUgcXVlIGxhIGVkaXRvcmlhbCBubyBzZSBlbmN1ZW50cmUgZW4gZXN0YXMgYmFzZXMgZGUgZGF0b3MsIGVsIGF1dG9yIGRlYmUgY29uc3VsdGFyIGRpcmVjdGFtZW50ZSBjb24gZWwgcmVzcG9uc2FibGUgZGUgbGEgZmlybWEgZGUgbGEgbGljZW5jaWEgcG9yIHBhcnRlIGRlIGxhIGVkaXRvcmlhbC4KCkNvbnN1bHRhciBQb2zDrXRpY2EgZGVsIFJlcG9zaXRvcmlvIEluc3RpdHVjaW9uYWwuCgpJSS4gT0JSQVMgSU7DiURJVEFTCgpFbCBhdXRvciBjb25zZXJ2YSB0b2RvcyBsb3MgZGVyZWNob3MsIGNvbiBsbyBjdWFsIHB1ZWRlIHB1YmxpY2FybGEgcG9zdGVyaW9ybWVudGUuIFNlIHJlY29taWVuZGEgY29ub2Nlci9yZXZpc2FyIGxhIHBvbMOtdGljYSBkZSBkb25kZSBzZSBwcmV2w6kgcHVibGljYXIsIGRhZG8gcXVlIGFsZ3Vub3MgcHVibGljYWRvcmVzIHPDs2xvIGFjZXB0YW4gdHJhYmFqb3Mgbm8gZGlmdW5kaWRvcyBjb24gYW50ZXJpb3JpZGFkLiBQdWVkZSBjb25zdWx0YXIgbGEgYmFzZSBkZSBkYXRvcyBTSEVSUEEvUk9NRU8qIG8gRFVMQ0lORUEqKiwgcGFyYSBjb25vY2VyIGxhIHBvbMOtdGljYSBzb2JyZSBkZXJlY2hvcyBkZSBhdXRvciBkZSBsYSByZXNwZWN0aXZhIGVkaXRvcmlhbC4KCkFVVE9SSVpBQ0nDk04gREUgUFVCTElDQUNJw5NOIEVOIEZPUk1BIEFOQUzDk0dJQ0EgTyBESUdJVEFMIERFIExBIE9CUkEuCgpBdXRvcml6byBlbiBmb3JtYSBncmF0dWl0YSB5IHBvciB0aWVtcG8gaW5kZWZpbmlkbyBhIGxhIFVuaXZlcnNpZGFkIEVBRklUIHBhcmEgcmVhbGl6YXIgbGFzIHNpZ3VpZW50ZXMgYWN0aXZpZGFkZXM6CgotIFB1YmxpY2FyIGVuIGZvcm1hIGVsZWN0csOzbmljYSBvIGRpdnVsZ2FyIHBvciBtZWRpbyBlbGVjdHLDs25pY28gZWwgdGV4dG8gZGVsIHRyYWJham8gY29uIGVsIGZpbiBkZSBzZXIgY29uc3VsdGFkbyBwb3IgZWwgcMO6YmxpY28gZW4gaHR0cDovL3d3dy5lYWZpdC5lZHUuY28vYmlibGlvdGVjYQotIFB1YmxpY2FyIGVuIGZvcm1hIGVsZWN0csOzbmljYSwgZGl2dWxnYXIgcG9yIG1lZGlvIGVsZWN0csOzbmljbyB5IHByZXNlcnZhciBlbCB0ZXh0byBkZWwgdHJhYmFqbyBjb24gZWwgZmluIGRlIHNlciBjb25zdWx0YWRvIHBvciBlbCBww7pibGljbyBlbiBodHRwOi8vcmVwb3NpdG9yeS5lYWZpdC5lZHUuY28KClRvZG8gcGVyc29uYSBxdWUgY29uc3VsdGUgZWwgbWF0ZXJpYWwgYmllbiBzZWEgZGUgZm9ybWEgYW5hbMOzZ2ljYSBvIGRpZ2l0YWwsIHBvZHLDoSByZWFsaXphciBjaXRhcyBjb25mb3JtZSBhIGxvIHBlcm1pdGlkbyBwb3IgbGEgbGV5IGNpdGFuZG8gZW4gdG9kbyBjYXNvIGxhcyBmdWVudGVzLiBFc3RhIGF1dG9yaXphY2nDs24gbm8gaW1wbGljYSByZW51bmNpYSBhIGxhIGZhY3VsdGFkIHF1ZSB0ZW5nbyBkZSBwdWJsaWNhciB0b3RhbCBvIHBhcmNpYWxtZW50ZSBsYSBvYnJhLgoKRGVjbGFybyBxdWUgc295IGVsIGF1dG9yIHkgdGl0dWxhciBkZSBsb3MgZGVyZWNob3MgZGUgYXV0b3Igc29icmUgbGEgb2JyYSwgeSBxdWUgbGEgbWlzbWEgZXMgb3JpZ2luYWwsIHBvciBsbyB0YW50byBsYSBVbml2ZXJzaWRhZCBFQUZJVCBubyBzZXLDoSByZXNwb25zYWJsZSBkZSBuaW5ndW5hIHJlY2xhbWFjacOzbiBxdWUgcHVkaWVyYSBzdXJnaXIgcG9yIHBhcnRlIGRlIHRlcmNlcm9zIHF1ZSBpbnZvcXVlbiBhdXRvcsOtYSBkZSBsYSBvYnJhIHF1ZSBwcmVzZW50by4KClNpIHRpZW5lIGFsZ3VuYSBkdWRhIHNvYnJlIGxhIGxpY2VuY2lhLCBwb3IgZmF2b3IsIGNvbnRhY3RlIGNvbiBlbCBhZG1pbmlzdHJhZG9yIGRlbCBzaXN0ZW1hLgoKRGVjbGFybyBxdWUgY29ub3pjbyBsYSBwb2zDrXRpY2EgZGVsIFJlcG9zaXRvcmlvIEluc3RpdHVjaW9uYWwgeSBjb25jZWRvIGxhIGF1dG9yaXphY2nDs24uCgpfX19fX19fX19fX19fX18KKCopIFNoZXJwYS4gRGlzcG9uaWJsZSBlbjogaHR0cDovL3d3dy5zaGVycGEuYWMudWsvcm9tZW8vP2xhPWVzCigqKikgRHVsY2luZWEuIERpc3BvbmlibGUgZW46IGh0dHA6Ly93d3cuYWNjZXNvYWJpZXJ0by5uZXQvZHVsY2luZWEK