Probing wetting properties with self-propelled droplets

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Boatini, Bernardo
Orientador(a): Brito, Carolina
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Palavras-chave em Inglês:
Link de acesso: http://hdl.handle.net/10183/290567
Resumo: When a drop of water is placed on a rough surface, several wetting regimes can occur. The droplet may remain in a dry state, with air pockets trapped underneath, or it may enter a wet state, characterized by homogeneous wetting of the surface. A common feature of this phenomenon is meta-stability: the steady states of the droplet can vary depending on its initial deposition. The search for those equilibrium points, for a given roughness, has many technological applications, such as self-cleaning surfaces. However, it is experimentally and computationally difficult to approach this problem, since it requires many trials to find all stable states. A potential approach to addressing this challenge involves leveraging the principles and methods of active matter. In this study, we employ numerical simulations using a 3D Potts model to investigate how the incorporation of self-propulsion into a well-established wetting scenario can provide insights into the metastable properties of a given surface. As a result we show that, for certain roughness, activity can be tuned to maintain the droplet in a specific range of local minima or even extinguish the meta-stable behavior. In all cases examined, a rise in self-propulsion resulted in a decrease in the disparity between the driest and wettest minima. This indicates that the proposed method can be effectively used to: i) assess whether a substrate exhibits metastability; ii) estimate the number of local minima on a substrate while simultaneously measuring the associated contact angles; and iii) provide an indication of the surface’s contact angle hysteresis.
id URGS_0041b5a114364a9ddde5fd30d6d85646
oai_identifier_str oai:www.lume.ufrgs.br:10183/290567
network_acronym_str URGS
network_name_str Biblioteca Digital de Teses e Dissertações da UFRGS
repository_id_str
spelling Boatini, BernardoBrito, CarolinaBrunnet, Leonardo Gregory2025-04-18T07:03:49Z2022http://hdl.handle.net/10183/290567001248547When a drop of water is placed on a rough surface, several wetting regimes can occur. The droplet may remain in a dry state, with air pockets trapped underneath, or it may enter a wet state, characterized by homogeneous wetting of the surface. A common feature of this phenomenon is meta-stability: the steady states of the droplet can vary depending on its initial deposition. The search for those equilibrium points, for a given roughness, has many technological applications, such as self-cleaning surfaces. However, it is experimentally and computationally difficult to approach this problem, since it requires many trials to find all stable states. A potential approach to addressing this challenge involves leveraging the principles and methods of active matter. In this study, we employ numerical simulations using a 3D Potts model to investigate how the incorporation of self-propulsion into a well-established wetting scenario can provide insights into the metastable properties of a given surface. As a result we show that, for certain roughness, activity can be tuned to maintain the droplet in a specific range of local minima or even extinguish the meta-stable behavior. In all cases examined, a rise in self-propulsion resulted in a decrease in the disparity between the driest and wettest minima. This indicates that the proposed method can be effectively used to: i) assess whether a substrate exhibits metastability; ii) estimate the number of local minima on a substrate while simultaneously measuring the associated contact angles; and iii) provide an indication of the surface’s contact angle hysteresis.application/pdfengMolhabilidadeMetaestabilidadeSimulação de Monte CarloWettingActive matterMeta stabilityProbing wetting properties with self-propelled dropletsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisUniversidade Federal do Rio Grande do SulInstituto de FísicaPrograma de Pós-Graduação em FísicaPorto Alegre, BR-RS2022mestradoinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001248547.pdf.txt001248547.pdf.txtExtracted Texttext/plain91248http://www.lume.ufrgs.br/bitstream/10183/290567/2/001248547.pdf.txtc320556687ccad72aac4be0bcc103107MD52ORIGINAL001248547.pdfTexto completo (inglês)application/pdf14248868http://www.lume.ufrgs.br/bitstream/10183/290567/1/001248547.pdf289b0ddd43000d6807709242dceef580MD5110183/2905672025-04-19 07:04:30.918195oai:www.lume.ufrgs.br:10183/290567Biblioteca Digital de Teses e Dissertaçõeshttps://lume.ufrgs.br/handle/10183/2PUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.br||lume@ufrgs.bropendoar:18532025-04-19T10:04:30Biblioteca Digital de Teses e Dissertações da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Probing wetting properties with self-propelled droplets
title Probing wetting properties with self-propelled droplets
spellingShingle Probing wetting properties with self-propelled droplets
Boatini, Bernardo
Molhabilidade
Metaestabilidade
Simulação de Monte Carlo
Wetting
Active matter
Meta stability
title_short Probing wetting properties with self-propelled droplets
title_full Probing wetting properties with self-propelled droplets
title_fullStr Probing wetting properties with self-propelled droplets
title_full_unstemmed Probing wetting properties with self-propelled droplets
title_sort Probing wetting properties with self-propelled droplets
author Boatini, Bernardo
author_facet Boatini, Bernardo
author_role author
dc.contributor.author.fl_str_mv Boatini, Bernardo
dc.contributor.advisor1.fl_str_mv Brito, Carolina
dc.contributor.advisor-co1.fl_str_mv Brunnet, Leonardo Gregory
contributor_str_mv Brito, Carolina
Brunnet, Leonardo Gregory
dc.subject.por.fl_str_mv Molhabilidade
Metaestabilidade
Simulação de Monte Carlo
topic Molhabilidade
Metaestabilidade
Simulação de Monte Carlo
Wetting
Active matter
Meta stability
dc.subject.eng.fl_str_mv Wetting
Active matter
Meta stability
description When a drop of water is placed on a rough surface, several wetting regimes can occur. The droplet may remain in a dry state, with air pockets trapped underneath, or it may enter a wet state, characterized by homogeneous wetting of the surface. A common feature of this phenomenon is meta-stability: the steady states of the droplet can vary depending on its initial deposition. The search for those equilibrium points, for a given roughness, has many technological applications, such as self-cleaning surfaces. However, it is experimentally and computationally difficult to approach this problem, since it requires many trials to find all stable states. A potential approach to addressing this challenge involves leveraging the principles and methods of active matter. In this study, we employ numerical simulations using a 3D Potts model to investigate how the incorporation of self-propulsion into a well-established wetting scenario can provide insights into the metastable properties of a given surface. As a result we show that, for certain roughness, activity can be tuned to maintain the droplet in a specific range of local minima or even extinguish the meta-stable behavior. In all cases examined, a rise in self-propulsion resulted in a decrease in the disparity between the driest and wettest minima. This indicates that the proposed method can be effectively used to: i) assess whether a substrate exhibits metastability; ii) estimate the number of local minima on a substrate while simultaneously measuring the associated contact angles; and iii) provide an indication of the surface’s contact angle hysteresis.
publishDate 2022
dc.date.issued.fl_str_mv 2022
dc.date.accessioned.fl_str_mv 2025-04-18T07:03:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/290567
dc.identifier.nrb.pt_BR.fl_str_mv 001248547
url http://hdl.handle.net/10183/290567
identifier_str_mv 001248547
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Biblioteca Digital de Teses e Dissertações da UFRGS
collection Biblioteca Digital de Teses e Dissertações da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/290567/2/001248547.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/290567/1/001248547.pdf
bitstream.checksum.fl_str_mv c320556687ccad72aac4be0bcc103107
289b0ddd43000d6807709242dceef580
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv lume@ufrgs.br||lume@ufrgs.br
_version_ 1844167623348060160