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

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...

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Autores:
Bermeo Varón, Leonardo Antonio
Caicedo, Eduardo
Clementi, Luis
Vega, Jorge
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67688
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67688
http://bdigital.unal.edu.co/68717/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Swarm Intelligence
Dynamic Light Scattering
Inverse Problem
Particle Swarm Optimization
Particle Size Distribution.
Inteligencia de enjambres
dispersión de luz dinámica
problemas inversos
optimización por enjambre de partículas
distribución de tamaño de partículas
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_c8c608777f7ce9d9b7afb02bf303f864
oai_identifier_str oai:repositorio.unal.edu.co:unal/67688
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.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
62 Ingeniería y operaciones afines / Engineering
Swarm Intelligence
Dynamic Light Scattering
Inverse Problem
Particle Swarm Optimization
Particle Size Distribution.
Inteligencia de enjambres
dispersión de luz dinámica
problemas inversos
optimización por enjambre de partículas
distribución de tamaño de partículas
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.fl_str_mv Bermeo Varón, Leonardo Antonio
Caicedo, Eduardo
Clementi, Luis
Vega, Jorge
dc.contributor.author.spa.fl_str_mv Bermeo Varón, Leonardo Antonio
Caicedo, Eduardo
Clementi, Luis
Vega, Jorge
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Swarm Intelligence
Dynamic Light Scattering
Inverse Problem
Particle Swarm Optimization
Particle Size Distribution.
Inteligencia de enjambres
dispersión de luz dinámica
problemas inversos
optimización por enjambre de partículas
distribución de tamaño de partículas
dc.subject.proposal.spa.fl_str_mv Swarm Intelligence
Dynamic Light Scattering
Inverse Problem
Particle Swarm Optimization
Particle Size Distribution.
Inteligencia de enjambres
dispersión de luz dinámica
problemas inversos
optimización por enjambre de partículas
distribución de tamaño de partículas
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.issued.spa.fl_str_mv 2015-01-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:51:47Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:51:47Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/67688
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/68717/
identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67688
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dc.language.iso.spa.fl_str_mv spa
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dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/45213
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Bermeo Varón, Leonardo Antonio and Caicedo, Eduardo and Clementi, Luis and Vega, Jorge (2015) Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization. Ingeniería e Investigación, 35 (1). pp. 49-54. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/67688/1/45213-244825-1-PB.pdf
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Bermeo Varón, Leonardo Antonioa3e13dc9-47f7-4819-a361-02d6041d9671300Caicedo, Eduardo5dcc9af9-4275-4251-baed-bbaa1074ff0f300Clementi, Luis34dae7c7-448d-4ae6-b863-363ff75301a1300Vega, Jorge87a06b73-f2d0-494a-9f11-da384750d9aa3002019-07-03T04:51:47Z2019-07-03T04:51:47Z2015-01-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67688http://bdigital.unal.edu.co/68717/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.En este artículo se presenta una aplicación del algoritmo de optimización por Enjambre de Partículas (PSO) para estimar la distribución de tamaños de partículas (DTP) de un sistema coloidal a partir de los diámetros medios obtenidos por dispersión de luz dinámica a múltiples ángulos. Dado que se trata de un problema inverso no lineal en el proceso de estimación el problema es regularizado por medio del método de regularización de Tikhonov y finalmente se soluciona con diferentes estrategias del algoritmo de PSO. La evaluación del algoritmo de PSO es realizada a través de tres ejemplos simulados correspondientes a látex de poliestireno con diferentes DTP y dos ejemplos experimentales obtenidos a partir de una simple mezcla de dos estándares de poliestirenos. En general todos los resultados de estimación del algoritmo de PSO son excelentes, en particular, el algoritmo con definición de parámetros de Trelea que presenta mejor desempeño que las otras implementaciones de PSO.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/45213Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónBermeo Varón, Leonardo Antonio and Caicedo, Eduardo and Clementi, Luis and Vega, Jorge (2015) Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization. Ingeniería e Investigación, 35 (1). pp. 49-54. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringSwarm IntelligenceDynamic Light ScatteringInverse ProblemParticle Swarm OptimizationParticle Size Distribution.Inteligencia de enjambresdispersión de luz dinámicaproblemas inversosoptimización por enjambre de partículasdistribución de tamaño de partículasEstimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimizationArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL45213-244825-1-PB.pdfapplication/pdf1052470https://repositorio.unal.edu.co/bitstream/unal/67688/1/45213-244825-1-PB.pdf41b54f18ddc19e795bbe3f2c5aa268c2MD51THUMBNAIL45213-244825-1-PB.pdf.jpg45213-244825-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9084https://repositorio.unal.edu.co/bitstream/unal/67688/2/45213-244825-1-PB.pdf.jpgfc3a99a78627717e0414d58dad707272MD52unal/67688oai:repositorio.unal.edu.co:unal/676882024-05-22 23:34:18.5Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co

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