From an environmental point of view, the reduction of aircraft noise has become an important factor recently. There are two factors that make airplane noise: propeller noise and engine noise. This report puts emphasis on only the engine noise in order to begin understanding what airplane engine exhaust noise is. At first, the engine exhaust noise is comprehended using the Dobrzynski's engine noise theory. Next, a discussion about an Embry-Riddle Aeronautical University (ERAU) engine system, engine exhaust system configurations, and microphone setting standards that show the ERAU engine system exhaust noise data. Finally, an Intermittent-Combustion (IC) General Aviation (GA) aircraft engine exhaust noise prediction algorithm using FORTRAN code is compiled. The predicted noise level by this algorithm is compared with the actual airplane engine noise data. Consequently, the results from this algorithm can serve to modify the propulsion system and to design the engine noise reduction system.
","abstract_html":"<p>From an environmental point of view, the reduction of aircraft noise has become an important factor recently. There are two factors that make airplane noise: propeller noise and engine noise. This report puts emphasis on only the engine noise in order to begin understanding what airplane engine exhaust noise is. At first, the engine exhaust noise is comprehended using the Dobrzynski's engine noise theory. Next, a discussion about an Embry-Riddle Aeronautical University (ERAU) engine system, engine exhaust system configurations, and microphone setting standards that show the ERAU engine system exhaust noise data. Finally, an Intermittent-Combustion (IC) General Aviation (GA) aircraft engine exhaust noise prediction algorithm using FORTRAN code is compiled. The predicted noise level by this algorithm is compared with the actual airplane engine noise data. Consequently, the results from this algorithm can serve to modify the propulsion system and to design the engine noise reduction system.</p>","abstract_has_math":false,"creators":["Tada, Hiroko"],"institution":null,"degree_name":"Master of Science in Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Howard V. L. Patrick","Donald T. Higdon","Allen I. Ormsbee"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999-10-01T07:00:00Z","date_published":"1999-10-01T07:00:00Z","updated_at":"2026-07-27T19:25:23Z","subjects":["aircraft noise","engine noise","general aviation","noise reduction","Aerospace Engineering","Systems Engineering and Multidisciplinary Design Optimization"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/195","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Howard V. L. Patrick","Donald T. Higdon","Allen I. Ormsbee"]},{"key":"dc:creator","label":"Author","values":["Tada, Hiroko"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Aerospace Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["aircraft noise","engine noise","general aviation","noise reduction","Aerospace Engineering","Systems Engineering and Multidisciplinary Design Optimization"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/db-theses/195"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["From an environmental point of view, the reduction of aircraft noise has become an important factor recently. There are two factors that make airplane noise: propeller noise and engine noise. This report puts emphasis on only the engine noise in order to begin understanding what airplane engine exhaust noise is. At first, the engine exhaust noise is comprehended using the Dobrzynski's engine noise theory. Next, a discussion about an Embry-Riddle Aeronautical University (ERAU) engine system, engine exhaust system configurations, and microphone setting standards that show the ERAU engine system exhaust noise data. Finally, an Intermittent-Combustion (IC) General Aviation (GA) aircraft engine exhaust noise prediction algorithm using FORTRAN code is compiled. The predicted noise level by this algorithm is compared with the actual airplane engine noise data. Consequently, the results from this algorithm can serve to modify the propulsion system and to design the engine noise reduction system.
"]},{"key":"dc:title","label":"Title","values":["An Intermittent-Combustion General Aviation Aircraft Engine Exhaust Noise Prediction Algorithm"]}]}],"canonical_facts":{"dc:contributor":["Howard V. L. Patrick","Donald T. Higdon","Allen I. Ormsbee"],"dc:creator":["Tada, Hiroko"],"dc:description.abstract":["From an environmental point of view, the reduction of aircraft noise has become an important factor recently. There are two factors that make airplane noise: propeller noise and engine noise. This report puts emphasis on only the engine noise in order to begin understanding what airplane engine exhaust noise is. At first, the engine exhaust noise is comprehended using the Dobrzynski's engine noise theory. Next, a discussion about an Embry-Riddle Aeronautical University (ERAU) engine system, engine exhaust system configurations, and microphone setting standards that show the ERAU engine system exhaust noise data. Finally, an Intermittent-Combustion (IC) General Aviation (GA) aircraft engine exhaust noise prediction algorithm using FORTRAN code is compiled. The predicted noise level by this algorithm is compared with the actual airplane engine noise data. Consequently, the results from this algorithm can serve to modify the propulsion system and to design the engine noise reduction system.
"],"dc:identifier":["https://commons.erau.edu/db-theses/195"],"dc:subject":["aircraft noise","engine noise","general aviation","noise reduction","Aerospace Engineering","Systems Engineering and Multidisciplinary Design Optimization"],"dc:title":["An Intermittent-Combustion General Aviation Aircraft Engine Exhaust Noise Prediction Algorithm"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Aerospace Engineering"]},"updated_at":"2026-07-27T19:25:23Z"}