An Intermittent-Combustion General Aviation Aircraft Engine Exhaust Noise Prediction Algorithm

<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>

Name thesis:degree_name

Master of Science in Aerospace Engineering

Level thesis:degree_level

Thesis - Open Access

Discipline thesis:degree_discipline

Aerospace Engineering

Year

1999

Author dc:creator

• Tada, Hiroko

Contributors dc:contributor

• Howard V. L. Patrick
• Donald T. Higdon
• Allen I. Ormsbee

• aircraft noise
• engine noise
• general aviation
• noise reduction
• Aerospace Engineering
• Systems Engineering and Multidisciplinary Design Optimization

Repository record dc:identifier

https://commons.erau.edu/db-theses/195

OAI identifier oai:identifier

oai:commons.erau.edu:db-theses-1280