A predictive model obtained by identification for the ultrasonic “equivalent” flow velocity at surface vicinity

In the specific applications of surface cleaning and electrochemistry which consist of processes implanting surface irradiation by ultrasound, design of large-scale devices requires us to understand acoustic field distribution together with its quantification. This observation allows systematic measurement of ultrasonic stirring throughout electrochemical determination of “equivalent” flow velocity versus various operating parameters (powers, electrode-horn distances, reactor geometry, frequencies, etc.). A numerical model was proposed to fit our curves and to identify some parameters by taking into account the characteristics of the ultrasonic wave (absorption coefficient, rate of cavitation bubbles and acoustic power). Nevertheless, the flicked behavior of the ultrasonic processes in the vicinity of the electrode as well as bubble presence which induce non-linearities in wave propagation lead us to propose a new approach based on parameter identification by methods currently used in chemical engineering. These parameters were related to physical criteria, and the global model was evaluated throughout analysis of its sensibility criteria.