{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/90691"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/90691","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A commercial and militarized 737 system and subsystem level analysis: a systems engineering modeling and simulation approach","abstract":"This reading focuses on using a systems engineering modeling approach to determine the performance deviation between a commercial and militarized versions of the Boeing 737. In systems engineering complex systems are designed around a concept of operations or a specific mission that the system was originally designed to accomplish. In the cases of the militarized variations of the Boeing 737, the Airborne Early Warning & Control (AEW&C) and the Airborne Warning and Control System (AWACS), these systems were used for different operational purposes than its original concept of operations (ConOps). This study will use systems engineering principles to breakdown the variances between these military variations and its original design in the Boeing 737. Systems engineering modeling focuses on breaking down the product by its systems followed by modeling the behavior and interaction of these systems. Physical models of both the militarized and commercial were built using the Aircraft Synthesis (ACS) tool. This tool, used independently, is capable of modeling and simulating external performances of the two aircraft variations. The internal performances of the two systems will be modeled within the Rolls-Royce PowerFlow toolset. The PowerFlow toolset gives a high fidelity simulation of internal performance of aircraft subsystems. Using this tool, it will be possible to determine power loads required for the various subsystems. The PowerFlow tool will give an idea the difference between power load requirements between the two aircraft variations. Internal performance can have a large effect on an aircraft’s mission capabilities. For this reason, the results from the ACS tool and the PowerFlow tool will then be coupled to determine the impact power draw can have on the overall system.","abstract_html":"This reading focuses on using a systems engineering modeling approach to determine the performance deviation between a commercial and militarized versions of the Boeing 737. In systems engineering complex systems are designed around a concept of operations or a specific mission that the system was originally designed to accomplish. In the cases of the militarized variations of the Boeing 737, the Airborne Early Warning & Control (AEW&C) and the Airborne Warning and Control System (AWACS), these systems were used for different operational purposes than its original concept of operations (ConOps). This study will use systems engineering principles to breakdown the variances between these military variations and its original design in the Boeing 737. Systems engineering modeling focuses on breaking down the product by its systems followed by modeling the behavior and interaction of these systems. Physical models of both the militarized and commercial were built using the Aircraft Synthesis (ACS) tool. This tool, used independently, is capable of modeling and simulating external performances of the two aircraft variations. The internal performances of the two systems will be modeled within the Rolls-Royce PowerFlow toolset. The PowerFlow toolset gives a high fidelity simulation of internal performance of aircraft subsystems. Using this tool, it will be possible to determine power loads required for the various subsystems. The PowerFlow tool will give an idea the difference between power load requirements between the two aircraft variations. Internal performance can have a large effect on an aircraft’s mission capabilities. For this reason, the results from the ACS tool and the PowerFlow tool will then be coupled to determine the impact power draw can have on the overall system.","abstract_has_math":false,"creators":["Pauga, Craig Michael"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["D'Urso, Steven J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-07-07T19:58:22Z","date_published":"2016-07-07T19:58:22Z","updated_at":"2026-07-22T22:26:34Z","subjects":["Systems Engineering","Systems","737","Commercial Aircraft","Aerospace","Aerospace Engineering"],"languages":["en"],"rights":["Copyright 2016 Craig Pauga"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/90691","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["D'Urso, Steven J."]},{"key":"dc:creator","label":"Author","values":["Pauga, Craig Michael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-07-07T19:58:22Z","2016-04-29","2016-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace 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":["Systems Engineering","Systems","737","Commercial Aircraft","Aerospace","Aerospace Engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Craig Pauga"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/90691"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This reading focuses on using a systems engineering modeling approach to determine the performance deviation between a commercial and militarized versions of the Boeing 737. In systems engineering complex systems are designed around a concept of operations or a specific mission that the system was originally designed to accomplish. In the cases of the militarized variations of the Boeing 737, the Airborne Early Warning & Control (AEW&C) and the Airborne Warning and Control System (AWACS), these systems were used for different operational purposes than its original concept of operations (ConOps). This study will use systems engineering principles to breakdown the variances between these military variations and its original design in the Boeing 737. Systems engineering modeling focuses on breaking down the product by its systems followed by modeling the behavior and interaction of these systems. Physical models of both the militarized and commercial were built using the Aircraft Synthesis (ACS) tool. This tool, used independently, is capable of modeling and simulating external performances of the two aircraft variations. The internal performances of the two systems will be modeled within the Rolls-Royce PowerFlow toolset. The PowerFlow toolset gives a high fidelity simulation of internal performance of aircraft subsystems. Using this tool, it will be possible to determine power loads required for the various subsystems. The PowerFlow tool will give an idea the difference between power load requirements between the two aircraft variations. Internal performance can have a large effect on an aircraft’s mission capabilities. For this reason, the results from the ACS tool and the PowerFlow tool will then be coupled to determine the impact power draw can have on the overall system.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-07-07 without embargo terms","The student, Craig Pauga, accepted the attached license on 2016-04-28 at 13:57.","The student, Craig Pauga, submitted this Thesis for approval on 2016-04-28 at 16:55.","This Thesis was approved for publication on 2016-04-29 at 10:42.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9574 on 2016-07-07 at 13:33:50","Made available in DSpace on 2016-07-07T19:58:22Z (GMT). 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In the cases of the militarized variations of the Boeing 737, the Airborne Early Warning & Control (AEW&C) and the Airborne Warning and Control System (AWACS), these systems were used for different operational purposes than its original concept of operations (ConOps). This study will use systems engineering principles to breakdown the variances between these military variations and its original design in the Boeing 737. Systems engineering modeling focuses on breaking down the product by its systems followed by modeling the behavior and interaction of these systems. Physical models of both the militarized and commercial were built using the Aircraft Synthesis (ACS) tool. This tool, used independently, is capable of modeling and simulating external performances of the two aircraft variations. The internal performances of the two systems will be modeled within the Rolls-Royce PowerFlow toolset. The PowerFlow toolset gives a high fidelity simulation of internal performance of aircraft subsystems. Using this tool, it will be possible to determine power loads required for the various subsystems. The PowerFlow tool will give an idea the difference between power load requirements between the two aircraft variations. Internal performance can have a large effect on an aircraft’s mission capabilities. For this reason, the results from the ACS tool and the PowerFlow tool will then be coupled to determine the impact power draw can have on the overall system.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-07-07 without embargo terms","The student, Craig Pauga, accepted the attached license on 2016-04-28 at 13:57.","The student, Craig Pauga, submitted this Thesis for approval on 2016-04-28 at 16:55.","This Thesis was approved for publication on 2016-04-29 at 10:42.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9574 on 2016-07-07 at 13:33:50","Made available in DSpace on 2016-07-07T19:58:22Z (GMT). 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