{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1876"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1876","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Numerical investigation of airflow and aerosol deposition characteristics within human airways","abstract":"Aerosolized drug delivery in human airways is typically used for the treatment of several pulmonary diseases. In this study, large-eddy simulation (LES) is used for the numerical investigation of the airflow and the aerosol deposition characteristics within the upper human airways. LES is performed using the Eulerian-Lagrangian framework where the airflow is modeled using the Eulerian formulation, and the aerosol evolution is tracked in a Lagrangian manner under the dilute suspension conditions using a one-way coupled approach. First, computational framework is assessed in terms of the prediction of the mean flow statistics and the aerosol deposition and comparing with the past experimental and numerical results. Afterward, the effects of inflow Reynolds number (Re) and particle size (d_p) on the deposition fraction (D_F) are examined. The study shows that the effect of Re on D_F is apparent for d_p>5 μm and D_f increases with an increase in d_p.","abstract_html":"Aerosolized drug delivery in human airways is typically used for the treatment of several pulmonary diseases. In this study, large-eddy simulation (LES) is used for the numerical investigation of the airflow and the aerosol deposition characteristics within the upper human airways. LES is performed using the Eulerian-Lagrangian framework where the airflow is modeled using the Eulerian formulation, and the aerosol evolution is tracked in a Lagrangian manner under the dilute suspension conditions using a one-way coupled approach. First, computational framework is assessed in terms of the prediction of the mean flow statistics and the aerosol deposition and comparing with the past experimental and numerical results. Afterward, the effects of inflow Reynolds number (Re) and particle size (d_p) on the deposition fraction (D_F) are examined. The study shows that the effect of Re on D_F is apparent for d_p>5 μm and D_f increases with an increase in d_p.","abstract_has_math":false,"creators":["Mahida, Divyajit"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Ranjan, Reetesh","Sreenivas, Kidambi; Margraves, Charles","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:47:06Z","subjects":["Airway (Medicine)","Mathematical models"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/710","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ranjan, Reetesh","Sreenivas, Kidambi; Margraves, Charles","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Mahida, Divyajit"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-05-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Airway (Medicine)","Mathematical models"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/710"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Computer Science and Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["Aerosolized drug delivery in human airways is typically used for the treatment of several pulmonary diseases. In this study, large-eddy simulation (LES) is used for the numerical investigation of the airflow and the aerosol deposition characteristics within the upper human airways. LES is performed using the Eulerian-Lagrangian framework where the airflow is modeled using the Eulerian formulation, and the aerosol evolution is tracked in a Lagrangian manner under the dilute suspension conditions using a one-way coupled approach. First, computational framework is assessed in terms of the prediction of the mean flow statistics and the aerosol deposition and comparing with the past experimental and numerical results. Afterward, the effects of inflow Reynolds number (Re) and particle size (d_p) on the deposition fraction (D_F) are examined. The study shows that the effect of Re on D_F is apparent for d_p>5 μm and D_f increases with an increase in d_p."]},{"key":"dc:title","label":"Title","values":["Numerical investigation of airflow and aerosol deposition characteristics within human airways"]}]}],"canonical_facts":{"dc:contributor":["Ranjan, Reetesh","Sreenivas, Kidambi; Margraves, Charles","College of Engineering and Computer Science"],"dc:creator":["Mahida, Divyajit"],"dc:date":["2021-05-01T07:00:00Z"],"dc:description":["Dept. of Computer Science and Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["Aerosolized drug delivery in human airways is typically used for the treatment of several pulmonary diseases. In this study, large-eddy simulation (LES) is used for the numerical investigation of the airflow and the aerosol deposition characteristics within the upper human airways. LES is performed using the Eulerian-Lagrangian framework where the airflow is modeled using the Eulerian formulation, and the aerosol evolution is tracked in a Lagrangian manner under the dilute suspension conditions using a one-way coupled approach. First, computational framework is assessed in terms of the prediction of the mean flow statistics and the aerosol deposition and comparing with the past experimental and numerical results. Afterward, the effects of inflow Reynolds number (Re) and particle size (d_p) on the deposition fraction (D_F) are examined. The study shows that the effect of Re on D_F is apparent for d_p>5 μm and D_f increases with an increase in d_p."],"dc:identifier":["https://scholar.utc.edu/theses/710"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Airway (Medicine)","Mathematical models"],"dc:title":["Numerical investigation of airflow and aerosol deposition characteristics within human airways"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:47:06Z"}