Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization

Autores
Vega, Jorge Ruben; Clementi, Luis Alberto
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea’s parameter set shows a better performance than other implemented PSOs.
Fil: Vega, Jorge Ruben. Universidad Tecnológica Nacional. Argentina
Fil: Clementi, Luis Alberto. Universidad Tecnológica Nacional. Argentina
Peer Reviewed
Materia
multiangle dynamic
particle swarm optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/3120
Acceder
id RIAUTN_2945b4c835ed93ab7e22ab581b328407
oai_identifier_str oai:ria.utn.edu.ar:20.500.12272/3120
network_acronym_str RIAUTN
repository_id_str a
network_name_str Repositorio Institucional Abierto (UTN)
spelling Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimizationVega, Jorge RubenClementi, Luis Albertomultiangle dynamicparticle swarm optimizationIn this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea’s parameter set shows a better performance than other implemented PSOs.Fil: Vega, Jorge Ruben. Universidad Tecnológica Nacional. ArgentinaFil: Clementi, Luis Alberto. Universidad Tecnológica Nacional. ArgentinaPeer Reviewed2018-09-14T22:17:08Z2018-09-14T22:17:08Z2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/20.500.12272/3120engengTécnicas numéricas de estimación y optimización: aplicaciones en problemas de nanotecnología y de energía eleéctricainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Condiciones de Uso libre desde su aprobaciónAtribución-NoComercial-CompartirIgual 4.0 Internacionalreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2025-09-04T11:14:37Zoai:ria.utn.edu.ar:20.500.12272/3120instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-04 11:14:37.588Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
title Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
spellingShingle Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
Vega, Jorge Ruben
multiangle dynamic
particle swarm optimization
title_short Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
title_full Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
title_fullStr Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
title_full_unstemmed Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
title_sort Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
dc.creator.none.fl_str_mv Vega, Jorge Ruben
Clementi, Luis Alberto
author Vega, Jorge Ruben
author_facet Vega, Jorge Ruben
Clementi, Luis Alberto
author_role author
author2 Clementi, Luis Alberto
author2_role author
dc.subject.none.fl_str_mv multiangle dynamic
particle swarm optimization
topic multiangle dynamic
particle swarm optimization
dc.description.none.fl_txt_mv In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea’s parameter set shows a better performance than other implemented PSOs.
Fil: Vega, Jorge Ruben. Universidad Tecnológica Nacional. Argentina
Fil: Clementi, Luis Alberto. Universidad Tecnológica Nacional. Argentina
Peer Reviewed
description In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea’s parameter set shows a better performance than other implemented PSOs.
publishDate 2015
dc.date.none.fl_str_mv 2015
2018-09-14T22:17:08Z
2018-09-14T22:17:08Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12272/3120
url http://hdl.handle.net/20.500.12272/3120
dc.language.none.fl_str_mv eng
eng
language eng
dc.relation.none.fl_str_mv Técnicas numéricas de estimación y optimización: aplicaciones en problemas de nanotecnología y de energía eleéctrica
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Condiciones de Uso libre desde su aprobación
Atribución-NoComercial-CompartirIgual 4.0 Internacional
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Condiciones de Uso libre desde su aprobación
Atribución-NoComercial-CompartirIgual 4.0 Internacional
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
_version_ 1842344355922182144
score 12.623145

Publicaciones similares