Modeling of the effect of ultrasonic amplitude and frequency on acoustic streaming

Abstract

The application of ultrasound to the casting process can improve the quality of the casting through the effects of grain refinement, degassing, wetting, deagglomeration and dispersion. To predict an effective energy range of liquid metal, computational fluid dynamics (CFD) study has recently developed an analysis tool capable of modeling cavitation and acoustic streaming in liquid metal. In general, the generation of a cavitation bubble is a very small region directly under the sonotrode in the fluid, and acoustic streaming is the main factor for the scale-up of the ultrasound process because it is a non-linear physical effect which can assist in effective dispersion of the cavitation bubble with the propagation of ultrasonic wave in the liquid. Therefore, this study is focused on the evaluation of the effect of ultrasonic injection conditions on acoustic streaming by particle image velocimetry and CFD modeling.

Numerical Modelling of the Ultrasonic Treatment of Aluminium Melts: An Overview of Recent Advances

“…This approach predicts a fast velocity jet below the sonotrode, and comparison with a corresponding experiment reveals that the fast streaming flattens the temperature gradient and promotes an equiaxed grain structure. Another approach involved the use of the Ffowcs Williams and Hawkings (FW—H) equation generally used to compute the propagation of aerodynamic noise to model the acoustic pressure in Fluent [66,67]. Another commercial CFD software package, Flow3D, has been used to model acoustic streaming during the treatment of an A356 alloy melt without detailing the modelling procedure [68].…”

Evaluation methods for materials for power ultrasonic applications

“…[33][34][35] There is a trial to use acoustic streaming for handling liquid metal. 36) High-amplitude ultrasonic waves are also utilized in medical treatments or surgery. 37) Manipulation of cells is another promising application of high-intensity ultrasound 38) in biomedical fields.…”