Estudio de la frecuencia de colapso de burbujas en flujo cavitativo basado en un modo empírico de descomposición de señales

Abstract

The aim of this thesis is to study the frequency of bubble collapse in cavitary flow based on an empirical mode decomposition of signal. The cavitation signal process is performed by the Python programming language. In this algorithm, the empirical mode decomposition of the signal is performed, and the respective intrinsic mode functions and the residue are obtained. Spectral analysis is performed on each component of the signal using the Fast Fourier Transform. The characteristic frequency has been validated experimentally in previous researches. Moreover, numerical studies have been employed to verify these experiments. Finally, this characteristic frequency was identified in one of the intrinsic mode components without the common denoising process. This work is part of the junior research project PIJ17-13, which deals with the investigation and evaluation of cavitation-erosion models applied to prevention of hydraulic turbines damage from hydroelectric power plants in Ecuador.