Measurement of the Self-Oscillating Vortex Rope Dynamics for Hydroacoustic Stability Analysis

Flow instabilities in hydraulic machines often feature oscillating cavitation volumes, which locally introduce compliance and mass flow gain effects. These unsteady characteristics play a crucial role in one-dimensional stability models and can be determined through the definition of transfer functions for the state variables, where the cavitation volume is commonly estimated from the discharge difference between two points located upstream and downstream of the cavity. This approach is demonstrated on a test rig with a microturbine, featuring a self-oscillating vortex rope in its conical draft tube. The fluctuating discharges at the turbine inlet and the draft tube outlet are determined with the pressure-time method using differential pressure transducers. The cavitation volume is then calculated by integrating the corresponding discharge difference over time. In order to validate the results, an alternative volume approximation method is presented, based on the image processing of a high-speed flow visualization. In this procedure, the edges of the vortex rope are detected to calculate the local cross section areas of the cavity. It is shown that the cavitation volumes obtained by the two methods are in good agreement. Thus, the fluctuating part of the cavitation volume oscillation can be accurately estimated by integrating the difference between the volumetric upstream and downstream discharges. Finally, the volume and discharge fluctuations from the pressure-time method are averaged over one mean period of the pressure oscillation. This enables an analysis of the key physical flow parameters' behavior over one characteristic period of the instability and a discussion of its sustaining mechanisms.

[1]  Christopher E. Brennen,et al.  The Dynamic Transfer Function for a Cavitating Inducer , 1976 .

[2]  P. K. Doerfler,et al.  A statistical method for draft tube pressure pulsation analysis , 2012 .

[3]  Sébastien Alligné,et al.  Forced and Self Oscillations of Hydraulic Systems Induced by Cavitation Vortex Rope of Francis Turbines , 2011 .

[4]  Yoshinobu Tsujimoto,et al.  One-Dimensional Analysis of Full Load Draft Tube Surge , 2007 .

[5]  J. Stoer,et al.  Introduction to Numerical Analysis , 2002 .

[6]  Markus Raffel,et al.  Dynamic stall development , 2013 .

[7]  Henry M. Paynter,et al.  Closure of "Electrical Analogies and Electronic Computers: A Symposium: Surge and Water Hammer Problems" , 1953 .

[8]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[9]  Jean Eustache Prenat,et al.  Comportement dynamique d'une turbine Francis à forte charge. Comparaisons modèle-prototype , 1988 .

[10]  Christophe Nicolet,et al.  Influence of the Francis turbine location under vortex rope excitation on the hydraulic system stability , 2009 .

[11]  Christophe Nicolet,et al.  Numerical Simulation of Nonlinear Self Oscillations of a Full Load Vortex Rope , 2009 .

[12]  Yoshinobu Tsujimoto,et al.  Experimental method for the evaluation of the dynamic transfer matrix using pressure transducers , 2015 .

[13]  Andres Müller,et al.  Physical Mechanisms governing Self-Excited Pressure Oscillations in Francis Turbines , 2014 .

[14]  François Avellan,et al.  Analysis of the Swirling Flow Downstream a Francis Turbine Runner , 2006 .

[15]  Christophe Nicolet,et al.  Overload Surge Event in a Pumped-Storage Power Plant , 2006 .

[16]  Andres Müller,et al.  Draft tube discharge fluctuation during self-sustained pressure surge: fluorescent particle image velocimetry in two-phase flow , 2013 .

[17]  Yoshinobu Tsujimoto,et al.  Cavitation surge modelling in Francis turbine draft tube , 2014 .

[18]  Andres Müller,et al.  On the physical mechanisms governing self-excited pressure surge in Francis turbines , 2014 .

[19]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1987 .

[20]  Yoshinobu Tsujimoto,et al.  Cavitation Surge in a Small Model Test Facility Simulating a Hydraulic Power Plant , 2012 .

[21]  Richard Gran,et al.  On the Convergence of Random Search Algorithms In Continuous Time with Applications to Adaptive Control , 1970, IEEE Trans. Syst. Man Cybern..

[22]  Christophe Nicolet,et al.  Modeling of unsteady friction and viscoelastic damping in piping systems , 2012 .

[23]  Yoshinobu Tsujimoto,et al.  A Theoretical Analysis of Rotating Cavitation in Inducers , 1993 .

[24]  Ayaka Kashima,et al.  Experimental verification of the kinetic differential pressure method for flow measurements , 2013 .