Date of Award
Thesis - Open Access
Master of Science in Aerospace Engineering
Dr. Howard V. L. Patrick
Dr. Donald T. Higdon
Dr. Allen Ormsbee
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.
Scholarly Commons Citation
Tada, Hiroko, "An Intermittent-Combustion General Aviation Aircraft Engine Exhaust Noise prediction Algorithm" (1999). Master's Theses - Daytona Beach. 195.