Probing wetting properties with self-propelled droplets
| Ano de defesa: | 2022 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | eng |
| Instituição de defesa: |
Não Informado pela instituição
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| Programa de Pós-Graduação: |
Não Informado pela instituição
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| Departamento: |
Não Informado pela instituição
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| País: |
Não Informado pela instituição
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| 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. |
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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. |
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2022 |
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2022 |
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