{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120592"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120592","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Application of machine learning for predicting heat transfer coefficient in dropwise condensation of steam","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","abstract_has_math":false,"creators":["Khan, Rizwan Ali"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Miljkovic, Nenad"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:57Z","subjects":["Dropwise Condensation"],"languages":["en","eng"],"rights":["Copyright 2023 Rizwan Khan"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120592","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Miljkovic, Nenad"]},{"key":"dc:creator","label":"Author","values":["Khan, Rizwan Ali"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-05-05"]},{"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":["Dropwise Condensation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Rizwan Khan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120592"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","The student, Rizwan Khan, accepted the attached license on 2023-05-04 at 16:23.","The student, Rizwan Khan, submitted this Thesis for approval on 2023-05-04 at 16:39.","This Thesis was approved for publication on 2023-05-05 at 08:32.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19339 on 2023-09-01 at 17:22:24","Dropwise Condensation (DWC) refers to a phase-change process, where condensation of vapors is manifested as distinct droplets on a non-wetting surface. Unlike filmwise condensation (FWC), DWC results in considerably higher heat transfer coefficients (HTC), which could lead to efficient heat transfer in many industrial applications and enable the design of smaller condensers. There have been, however, vast discrepancies among the results presented by researchers in this field since the 1960s, when the experimentation for characterizing DWC took pace. In this study, the effect of four different parameters on external DWC of steam is analyzed by applying machine learning algorithms to a vast amount of historical data spanning eight decades. Steam was chosen as a working fluid due to high latent heat of vaporization of water, its widespread and diverse industrial use, and the only fluid for which extensive experimental data is available."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Application of machine learning for predicting heat transfer coefficient in dropwise condensation of steam"]}]}],"canonical_facts":{"dc:contributor":["Miljkovic, Nenad"],"dc:creator":["Khan, Rizwan Ali"],"dc:date":["2023-05","2023-05-05"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","The student, Rizwan Khan, accepted the attached license on 2023-05-04 at 16:23.","The student, Rizwan Khan, submitted this Thesis for approval on 2023-05-04 at 16:39.","This Thesis was approved for publication on 2023-05-05 at 08:32.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19339 on 2023-09-01 at 17:22:24","Dropwise Condensation (DWC) refers to a phase-change process, where condensation of vapors is manifested as distinct droplets on a non-wetting surface. Unlike filmwise condensation (FWC), DWC results in considerably higher heat transfer coefficients (HTC), which could lead to efficient heat transfer in many industrial applications and enable the design of smaller condensers. There have been, however, vast discrepancies among the results presented by researchers in this field since the 1960s, when the experimentation for characterizing DWC took pace. In this study, the effect of four different parameters on external DWC of steam is analyzed by applying machine learning algorithms to a vast amount of historical data spanning eight decades. Steam was chosen as a working fluid due to high latent heat of vaporization of water, its widespread and diverse industrial use, and the only fluid for which extensive experimental data is available."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120592"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Rizwan Khan"],"dc:subject":["Dropwise Condensation"],"dc:title":["Application of machine learning for predicting heat transfer coefficient in dropwise condensation of steam"],"dc:type":["text"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}