Computational Aeroacoustics
Research in predicting and optimizing aerodynamic noise — from supersonic jet screech tones to the aeroacoustic design of ultrasonic devices. This work combines CFD, CAA, and multidisciplinary optimization to understand and control noise generation in aerospace systems.
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Aeroacoustic Optimization of Aerodynamic Whistles for Ultrasound Generation
Designed a novel ultrasonic bat deterrent device that leverages aerodynamic whistles to mitigate wind turbine mortality risks at wind farms. Conducted detailed CFD and CAA simulations to understand whistle performance characteristics, and applied Multidisciplinary Design Optimization (MDO) methods using the Discrete Adjoint approach with OpenFOAM (DAFoam) to systematically enhance device performance.
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Numerical Prediction of Jet Screech Tones in Supersonic Flows
Conducted collaborative research employing ANSYS Fluent to dissect screech tones in supersonic jets as part of the bachelor's thesis at IIST Trivandrum. Evaluated sound pressure levels and acoustic behaviors across diverse microphone locations, providing valuable insights into aircraft noise performance. Explored the impact of Mach numbers on noise generation in supersonic jets, specifically focusing on predicting axisymmetric mode screech tones.