The evolution of a three-dimensional microbubble at a corner in a Maxwell fluid

E. N. O'Brien*, M. Mahmud, W. R. Smith, Q. X. Wang, T. N. Phillips

*Corresponding author for this work

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Abstract

Bubbles often appear in non-Newtonian liquids from nature, engineering to biomedical applications, but their study has been under research compared to their Newtonian counterpart. Here, we extend the axisymmetric modeling of Lind and Phillips to three-dimensional modeling. The approach is based on the boundary integral method coupled with the Maxwell constitutive equation. The flow is assumed to have moderate to high Reynolds numbers and, thus, is irrotational in the bulk domain. The viscoelastic effects are incorporated approximately in the normal stress balance at the bubble surface. The numerical model has excellent agreement with the corresponding Rayleigh–Plesset equation for spherical bubbles in a non-Newtonian liquid. Computations are carried out for a bubble near a corner at various angles. The numerical results agree very well with the experiments for bubbles in a Newtonian fluid in a corner. As the Deborah number increases, the amplitude and period of the bubble oscillation increase, the bubble migration to the corner enhances, and the bubble jet is broader, flatter, and inclined more to the further boundary. This implies an improvement to surface cleaning of all surrounding boundaries for ultrasonic cavitation cleaning and results in greater administration of noninvasive therapy and drug delivery.
Original languageEnglish
Article number103120
Number of pages10
JournalPhysics of Fluids
Volume35
Issue number10
DOIs
Publication statusPublished - 25 Oct 2023

Bibliographical note

Funding Information:
This research was conducted under the funding of both the University of Birmingham and EPSRC (No. EP/S515292/1).

Publisher Copyright:
© 2023 Author(s).

ASJC Scopus subject areas

  • Computational Mechanics
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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