The main contribution from the current work is the enhancement of a comprehensive noise prediction system for rotorcraft and a methodology to analyze flight test procedures in the interest of understanding the noise source generation mechanisms and aid development of noise abatement procedures. This dissertation describes a rotorcraft noise prediction system and its development to incorporate time-dependent information–including trajectory, attitude, blade loads and rotor thrust–for predicting noise generated during a complex maneuver. The validation process is carried out by comparing the predicted noise levels (SELdBA, OASPL and A–weighted SPL) and processed flight test data. The time histories are studied in detail to understand the influence of events (such as steady flight conditions, with constant speed, roll angle or descent rate, and transient flight conditions, including roll-in and roll-out of turn, start and end of deceleration or acceleration) occurring during the flight procedure on noise levels and directivity.

Assessment and prediction of aircraft noise using NASA's ANOPP code under FAA ASCENT project 23.

Teaching assistant for Fluid Dynamics and Fluid Mechanics- Grade the exams, and assignments - Conduct office hours for assisting students

Teaching assistant for Advanced computing- Grade the exams, projects, and assignments- Conduct office hours for assisting students

Supplier quality management - Transmission Gearbox- Monitored the quality of the gears and other accessories of the transmission system supplied by the vendors

Performed parametric analysis to understand the effect of size and velocity of the solid fuel particle on heat transfer in a fluidized bed boiler.