Abstract
The dominant noise mechanism in most rotating machines and aircrafts is trailing edge noise. In particular, wind turbines are seeing ever greater usage, however their noise pollution is a consistent challenge. Current trends in noise reduction mechanisms focus on utilizing additional components, rather than the optimization of the basic airfoil profile a priori. The existing literature regarding a priori shape optimization for noise reduction primarily relies on low fidelity aerodynamic solvers, which may provide inaccurate or low-sensitivity input to the aeroacoustic solvers. In this paper, a computational fluid dynamics based, multi-objective shape optimization is performed, in regards to maximizing the lift coefficient, minimizing the drag coefficient, and minimizing the trailing edge noise of an airfoil. The solving strategy combines a higher fidelity Reynolds-averaged Navier-Stokes solver with a state-of-the-art wall pressure spectrum model and Amiet’s model for trailing edge noise. The higher fidelity input to the state-of-the-art acoustic models should produce more reliable results overall. A multi-objective optimizer based on genetic algorithm is utilized for the optimization of a 2D NACA0012, where a noise reduction of 2.24 dB(A) is achieved, whilst simultaneously improving the aerodynamics. In general, the multi-objective approach highlights a correlation between increased lift generally resulting in increased noise, decreased drag resulting in decreased noise, and subsequently a clear correlation between the lift-drag ratio and the far field noise. Further investigations involving higher fidelity aeroacoustic predictions are required to further validate the outcomes.
Original language | English |
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Title of host publication | AIAA Scitech 2020 Forum |
Pages | 1729 |
Number of pages | 12 |
DOIs | |
Publication status | Published - 5 Jan 2020 |
Event | AIAA SciTech Forum - Hyatt Regency, Orlando, United States Duration: 6 Jan 2020 → 10 Jan 2020 https://www.aiaa.org/scitech/ |
Conference
Conference | AIAA SciTech Forum |
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Country | United States |
City | Orlando |
Period | 6/01/20 → 10/01/20 |
Internet address |