Dynamic acoustic fields for size selective particle separation on centimeter scale

Dynamic acoustic fields offer an interesting alternative for acoustic standing-wave fields in acoustic separation applications. This paper reports on an investigation of two methods for generating dynamic acoustic fields and their applicability for selective particle separation. The first method app...

Full description

Saved in:
Bibliographic Details
Published in:Journal of sound and vibration 2021-01, Vol.490, p.115723, Article 115723
Main Authors: Kandemir, M.H., Beelen, M., Wagterveld, R.M., Yntema, D.R., Keesman, K.J.
Format: Article
Language:English
Subjects:
acoustic separation
Acoustics
acoustophoresis
Differential equations
Dimensionless numbers
dynamic acoustic fields
Equations of motion
Frequencies
Nodes (standing waves)
Numerical methods
Numerical prediction
Polyethylenes
selective particle separation
Separation
Standing waves
Surface acoustic waves
Velocity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Dynamic acoustic fields offer an interesting alternative for acoustic standing-wave fields in acoustic separation applications. This paper reports on an investigation of two methods for generating dynamic acoustic fields and their applicability for selective particle separation. The first method applies a dual-frequency excitation to generate a standing-wave field that in which the pressure nodes travel at constant velocity. The second method uses frequency-ramping, where the velocity of the nodes in the resulting standing-wave field depends on both time and position. Both methods were investigated analytically and with computational models, yielding a dimensionless number that predicts particle behavior without having to solve the differential equations of motion. This dimensionless number can also be used to estimate the acoustic pressure in practical applications. Experiments carried out with polyethylene particles and the two prototypes confirmed the theoretical and numerical predictions. Both methods are suitable for selective particle separation applications.
ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2020.115723