Vasishta Bhargava - Academia.edu (original) (raw)

Vasishta Bhargava

Hello everyone I am an engineering and mangement graduate with interests in the field of fluid mechanics, aero-acoustics with applications in solar and wind energy sciences. Additionally my interests also relate with business and data analytics particularly in project and HR management. I like to listen songs, read books, travel and make friends Thanks Contact : vasishtab@gmail.com

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Papers by Vasishta Bhargava

Research paper thumbnail of Aero-acoustic Analysis of Wind Turbines Blades: Turbulent Boundary Layer Trailing Edge Noise

Numerical aero-acoustic analysis of wind turbine blades is conducted on three different sized mac... more Numerical aero-acoustic analysis of wind turbine blades is conducted on three different sized machines 350kW, 2MW &3MW. The turbine blade is considered as independent noise source and sound pressure levels produced from airfoil self-noise are assessed according to the BPM model. This model is semi empirical and predicts the sound pressure levels for 1/3 rd octave band frequencies 20Hz – 10kHz range. The frequency spectra of noise mechanism components for untripped boundary layer and directivity pattern as function of observer distance is illustrated. Model sensitivity is calculated using the directivity at several octave band frequencies and observer azimuth positions. The total sound pressure levels for the turbines are compared with theoretical predictions.

Research paper thumbnail of Aero-acoustic Analysis of Wind Turbines Blades: Turbulent Boundary Layer Trailing Edge Noise

Numerical aero-acoustic analysis of wind turbine blades is conducted on three different sized mac... more Numerical aero-acoustic analysis of wind turbine blades is conducted on three different sized machines 350kW, 2MW &3MW. The turbine blade is considered as independent noise source and sound pressure levels produced from airfoil self-noise are assessed according to the BPM model. This model is semi empirical and predicts the sound pressure levels for 1/3 rd octave band frequencies 20Hz – 10kHz range. The frequency spectra of noise mechanism components for untripped boundary layer and directivity pattern as function of observer distance is illustrated. Model sensitivity is calculated using the directivity at several octave band frequencies and observer azimuth positions. The total sound pressure levels for the turbines are compared with theoretical predictions.

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