{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/49359"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/49359","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A numerical study on microbubble mixer","abstract":"This text comprises a numerical study of the mixing performance on the micromixer, a device which actuates steady streaming by semi-cylindrical sessile bubble oscillations. The mixer's capability of producing chaotic mixing is confirmed and a numerical simulation that is in good agreement with the experiment is developed, which then leads to the exploration of three mixing schemes. At the beginning, we introduce the experimental configuration of our micromixer, as well as the general framework of computing the asymptotic solution which is later used in numerical simulations. With these fundamentals, we proceed to characterize the efficiency of our mixer, essentially a Hamiltonian dynamical system, using Poincare sections and the Finite-time Lyapunov exponent. These indicators provide evidence that by properly blinking between different streaming patterns, chaotic-like mixing can be created inside our mixer. The observation made from numerical results that the size of the region that is good for mixing is related to the blinking period is substantiated by a scaling argument. After showing that the micromixer is beneficial for mixing from the perspective of dynamical system theory, we then focus on real applications by developing passive scalar simulations that agree with experimental data well. Finally, the establishment of the simulation allows us to explore the efficiencies of three different schemes and to optimize their designs for better mixing.","abstract_html":"This text comprises a numerical study of the mixing performance on the micromixer, a device which actuates steady streaming by semi-cylindrical sessile bubble oscillations. The mixer's capability of producing chaotic mixing is confirmed and a numerical simulation that is in good agreement with the experiment is developed, which then leads to the exploration of three mixing schemes. At the beginning, we introduce the experimental configuration of our micromixer, as well as the general framework of computing the asymptotic solution which is later used in numerical simulations. With these fundamentals, we proceed to characterize the efficiency of our mixer, essentially a Hamiltonian dynamical system, using Poincare sections and the Finite-time Lyapunov exponent. These indicators provide evidence that by properly blinking between different streaming patterns, chaotic-like mixing can be created inside our mixer. The observation made from numerical results that the size of the region that is good for mixing is related to the blinking period is substantiated by a scaling argument. After showing that the micromixer is beneficial for mixing from the perspective of dynamical system theory, we then focus on real applications by developing passive scalar simulations that agree with experimental data well. Finally, the establishment of the simulation allows us to explore the efficiencies of three different schemes and to optimize their designs for better mixing.","abstract_has_math":false,"creators":["Guo, Lin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Hilgenfeldt, Sascha"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-05-30T16:40:00Z","date_published":"2014-05-30T16:40:00Z","updated_at":"2026-07-22T22:25:38Z","subjects":["Mixing","Bubble streaming flow","Dynamical system","Passive scalar simulation","Micromixer"],"languages":["en"],"rights":["Copyright 2014 Lin Guo"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/49359","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hilgenfeldt, Sascha"]},{"key":"dc:creator","label":"Author","values":["Guo, Lin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-05-30T16:40:00Z","2014-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mixing","Bubble streaming flow","Dynamical system","Passive scalar simulation","Micromixer"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2014 Lin Guo"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/49359"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This text comprises a numerical study of the mixing performance on the micromixer, a device which actuates steady streaming by semi-cylindrical sessile bubble oscillations. 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After showing that the micromixer is beneficial for mixing from the perspective of dynamical system theory, we then focus on real applications by developing passive scalar simulations that agree with experimental data well. Finally, the establishment of the simulation allows us to explore the efficiencies of three different schemes and to optimize their designs for better mixing.","Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-04-28T13:17:53Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 LinThesis.tex: 89727 bytes, checksum: c97dfd53b0015b7a35d65f1834fde1fd (MD5) Guo_Lin.pdf: 3613928 bytes, checksum: 4644069022f489fe88c607dbe36b8ab9 (MD5)","Made available in DSpace on 2014-05-30T16:40:00Z (GMT). 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At the beginning, we introduce the experimental configuration of our micromixer, as well as the general framework of computing the asymptotic solution which is later used in numerical simulations. With these fundamentals, we proceed to characterize the efficiency of our mixer, essentially a Hamiltonian dynamical system, using Poincare sections and the Finite-time Lyapunov exponent. These indicators provide evidence that by properly blinking between different streaming patterns, chaotic-like mixing can be created inside our mixer. The observation made from numerical results that the size of the region that is good for mixing is related to the blinking period is substantiated by a scaling argument. After showing that the micromixer is beneficial for mixing from the perspective of dynamical system theory, we then focus on real applications by developing passive scalar simulations that agree with experimental data well. 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