{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/88245"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/88245","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Three-dimensional particle tracking velocimetry for turbulence applications","abstract":"Three-dimensional particle tracking velocimetry (3D-PTV) is a flow measure- ment technique that tracks the Lagrangian paths of a set of particles using photogrammetric principles. This technique allows to investigate complex fluid flows by measuring velocity and acceleration along particle trajectories. Implementing and optimizing the technique is, however, a somewhat di - cult task involving accurate optical set-up, volumetric illumination, precise calibration and rigorous post-processing. This thesis explains thorough guidelines to accomplish an optimal system set-up by discussing the hardware configuration, software operation, and post processing methods. First, this paper describes the system background for an e cient experimental set-up, such as the required camera specification, an accurate calibration method, an appropriate type of tracer particles and the illumination source. Then, the detailed usage of the 3D-PTV software, including the compilation and operation, with a description of file structures are discussed. To further utilize the output data, post-processing methods developed by Dr.Alex Liberzon, Dr.Beat Luthi and the author, which in- terpret the data both in Eulerian and Lagrangian frames, are explained. A circular jet flow is analyzed as demonstration of the technique.","abstract_html":"Three-dimensional particle tracking velocimetry (3D-PTV) is a flow measure- ment technique that tracks the Lagrangian paths of a set of particles using photogrammetric principles. This technique allows to investigate complex fluid flows by measuring velocity and acceleration along particle trajectories. Implementing and optimizing the technique is, however, a somewhat di - cult task involving accurate optical set-up, volumetric illumination, precise calibration and rigorous post-processing. This thesis explains thorough guidelines to accomplish an optimal system set-up by discussing the hardware configuration, software operation, and post processing methods. First, this paper describes the system background for an e cient experimental set-up, such as the required camera specification, an accurate calibration method, an appropriate type of tracer particles and the illumination source. Then, the detailed usage of the 3D-PTV software, including the compilation and operation, with a description of file structures are discussed. To further utilize the output data, post-processing methods developed by Dr.Alex Liberzon, Dr.Beat Luthi and the author, which in- terpret the data both in Eulerian and Lagrangian frames, are explained. A circular jet flow is analyzed as demonstration of the technique.","abstract_has_math":false,"creators":["Kim, Jin-Tae"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Theoretical & Applied Mechanics","degree_department":null,"school":null,"contributors":["Chamorro, Leonardo P"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-29T21:02:48Z","date_published":"2015-09-29T21:02:48Z","updated_at":"2026-07-22T22:26:31Z","subjects":["Flow visualization","Jet flow","Lagrangian frame","Particle tracking velocimetry","Turbulence"],"languages":["en"],"rights":["Copyright 2015 Jin-Tae Kim"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/88245","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chamorro, Leonardo P"]},{"key":"dc:creator","label":"Author","values":["Kim, Jin-Tae"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-29T21:02:48Z","2017-09-30T09:15:35Z","2015-08","2015-06-09","2015-8"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Theoretical & Applied Mechanics"]},{"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":["Flow visualization","Jet flow","Lagrangian frame","Particle tracking velocimetry","Turbulence"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Jin-Tae Kim"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/88245"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Three-dimensional particle tracking velocimetry (3D-PTV) is a flow measure- ment technique that tracks the Lagrangian paths of a set of particles using photogrammetric principles. This technique allows to investigate complex fluid flows by measuring velocity and acceleration along particle trajectories. Implementing and optimizing the technique is, however, a somewhat di - cult task involving accurate optical set-up, volumetric illumination, precise calibration and rigorous post-processing. This thesis explains thorough guidelines to accomplish an optimal system set-up by discussing the hardware configuration, software operation, and post processing methods. First, this paper describes the system background for an e cient experimental set-up, such as the required camera specification, an accurate calibration method, an appropriate type of tracer particles and the illumination source. Then, the detailed usage of the 3D-PTV software, including the compilation and operation, with a description of file structures are discussed. To further utilize the output data, post-processing methods developed by Dr.Alex Liberzon, Dr.Beat Luthi and the author, which in- terpret the data both in Eulerian and Lagrangian frames, are explained. A circular jet flow is analyzed as demonstration of the technique.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-08-01","The student, Jin Tae Kim, accepted the attached license on 2015-06-05 at 14:59.","The student, Jin Tae Kim, submitted this Thesis for approval on 2015-06-05 at 15:06.","This Thesis was approved for publication on 2015-06-09 at 13:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8268 on 2015-09-29 at 15:05:09","Made available in DSpace on 2015-09-29T21:02:48Z (GMT). No. of bitstreams: 2 KIM-THESIS-2015.pdf: 15912873 bytes, checksum: dd3411d591a748c808024488a7bb59d3 (MD5) LICENSE.txt: 4208 bytes, checksum: bac0b3565869ff0fdcfc396fe1c1bab2 (MD5) Previous issue date: 2015-06-09","Embargo set by: Seth Robbins for item 89525 Lift date: 2017-09-29T21:03:28Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 89525 Lift date: 2017-09-29T21:08:35Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 89525 on 2017-09-30T09:15:35Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Three-dimensional particle tracking velocimetry for turbulence applications"]}]}],"canonical_facts":{"dc:contributor":["Chamorro, Leonardo P"],"dc:creator":["Kim, Jin-Tae"],"dc:date":["2015-09-29T21:02:48Z","2017-09-30T09:15:35Z","2015-08","2015-06-09","2015-8"],"dc:description":["Three-dimensional particle tracking velocimetry (3D-PTV) is a flow measure- ment technique that tracks the Lagrangian paths of a set of particles using photogrammetric principles. This technique allows to investigate complex fluid flows by measuring velocity and acceleration along particle trajectories. Implementing and optimizing the technique is, however, a somewhat di - cult task involving accurate optical set-up, volumetric illumination, precise calibration and rigorous post-processing. This thesis explains thorough guidelines to accomplish an optimal system set-up by discussing the hardware configuration, software operation, and post processing methods. First, this paper describes the system background for an e cient experimental set-up, such as the required camera specification, an accurate calibration method, an appropriate type of tracer particles and the illumination source. Then, the detailed usage of the 3D-PTV software, including the compilation and operation, with a description of file structures are discussed. To further utilize the output data, post-processing methods developed by Dr.Alex Liberzon, Dr.Beat Luthi and the author, which in- terpret the data both in Eulerian and Lagrangian frames, are explained. A circular jet flow is analyzed as demonstration of the technique.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-08-01","The student, Jin Tae Kim, accepted the attached license on 2015-06-05 at 14:59.","The student, Jin Tae Kim, submitted this Thesis for approval on 2015-06-05 at 15:06.","This Thesis was approved for publication on 2015-06-09 at 13:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8268 on 2015-09-29 at 15:05:09","Made available in DSpace on 2015-09-29T21:02:48Z (GMT). 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