2016
DOI: 10.1121/1.4950363
|View full text |Cite
|
Sign up to set email alerts
|

Nonlinear acoustic forces acting on inhomogeneous fluids at slow time-scales

Abstract: We present a novel theory describing the nonlinear acoustic force density acting on a fluid of inhomogeneous density and compressibility, for example, due to an added salt concentration. We derive an expression for the time-averaged acoustic force density acting on an inhomogeneous fluid, which depends on the gradients of the fluid density and compressibility. This smeared-out force density can be interpreted as a generalization of the well-known acoustic forces acting on a particle or an immiscible-fluid inte… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2016
2016

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…The effects of thermal boundary layers are not considered in our model, but they could be included in analogy to recent publications of numerical thermo-viscoacoustics. 33,42,43 Clearly, an analytical treatment also has advantages over numerical simulations. For instance, it can provide closedform solutions, whereas the numerical solution has to be computed for every single parameter set and the discretization always has to stay within numerically feasible limits.…”
Section: Analytical and Numerical Modelsmentioning
confidence: 99%
“…The effects of thermal boundary layers are not considered in our model, but they could be included in analogy to recent publications of numerical thermo-viscoacoustics. 33,42,43 Clearly, an analytical treatment also has advantages over numerical simulations. For instance, it can provide closedform solutions, whereas the numerical solution has to be computed for every single parameter set and the discretization always has to stay within numerically feasible limits.…”
Section: Analytical and Numerical Modelsmentioning
confidence: 99%