Boundary-layer modeling of polymer-based acoustofluidic devices

In fluid-filled microchannels embedded in solid devices and driven by megahertz ultrasound transducers, the thickness of the viscous boundary layer in the fluid near the confining walls is typically three to four orders of magnitude smaller than the acoustic wavelength and five orders of magnitude smaller than the longest dimension of the device. This large span in length scale renders direct numerical simulations of such devices prohibitively expensive in terms of computer memory requirements, and consequently the so-called boundary-layer models are introduced. In such models, approximate analytical expressions of the boundary-layer fields are found and inserted in the governing equations and boundary conditions for the remaining bulk fields. Since the bulk fields do not vary across the boundary layers, they can be computed numerically using the resulting boundary-layer model without resolving the boundary layers. However, current boundary-layer models are only accurate for hard solids (e.g., glass and silicon) with relatively small oscillation amplitudes of the confining wall, and they fail for soft solids (e.g., polymers) with larger wall oscillations. In this work, we extend the boundary-layer model of Bach and Bruus, J. Acoust. Soc. Am. , 766 (2018) to enable accurate simulation of soft-walled devices. The extended model is validated by comparison (1) with direct numerical simulations in three and two dimensions of tiny submillimeter- and larger millimeter-sized polymer devices, respectively, and (2) with previously published experimental data.

Authors

Institutions

Publication Details

Journal
Physical Review Applied
Published
2025-10-02
DOI
https://doi.org/10.1103/m1rf-tkpw
Citations
1
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Boundary-layer modeling of polymer-based acoustofluidic devices

Henrik Bruus, S. Z. Hoque
1 citations
Physical Review Applied
Microfluidic and Bio-sensing Technologies
0.67
article

Boundary-layer modeling of polymer-based acoustofluidic devices

Henrik Bruus, S. Z. Hoque
article en
1 citations

Abstract

In fluid-filled microchannels embedded in solid devices and driven by megahertz ultrasound transducers, the thickness of the viscous boundary layer in the fluid near the confining walls is typically three to four orders of magnitude smaller than the acoustic wavelength and five orders of magnitude smaller than the longest dimension of the device. This large span in length scale renders direct numerical simulations of such devices prohibitively expensive in terms of computer memory requirements, and consequently the so-called boundary-layer models are introduced. In such models, approximate analytical expressions of the boundary-layer fields are found and inserted in the governing equations and boundary conditions for the remaining bulk fields. Since the bulk fields do not vary across the boundary layers, they can be computed numerically using the resulting boundary-layer model without resolving the boundary layers. However, current boundary-layer models are only accurate for hard solids (e.g., glass and silicon) with relatively small oscillation amplitudes of the confining wall, and they fail for soft solids (e.g., polymers) with larger wall oscillations. In this work, we extend the boundary-layer model of Bach and Bruus, J. Acoust. Soc. Am. , 766 (2018) to enable accurate simulation of soft-walled devices. The extended model is validated by comparison (1) with direct numerical simulations in three and two dimensions of tiny submillimeter- and larger millimeter-sized polymer devices, respectively, and (2) with previously published experimental data.

Physical Review AppliedVol. 24(4)
Technical University of Denmark (DK)
Openalex Percentile: Top 25%
Microfluidic and Bio-sensing Technologies
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.