The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Modeling of surface cleaning by cavitation bubble dynamics and collapse
Open accessAbstract
Surface cleaning using cavitation bubble dynamics is investigated numerically through modeling of bubble dynamics, dirt particle motion, and fluid material interaction. Three fluid dynamics models; a potential flow model, a viscous model, and a compressible model, are used to describe the flow field generated by the bubble all showing the strong effects bubble explosive growth and collapse have on a dirt particle and on a layer of material to remove. Bubble deformation and reentrant jet formation are seen to be responsible for generating concentrated pressures, shear, and lift forces on the dirt particle and high impulsive loads on a layer of material to remove. Bubble explosive growth is also an important mechanism for removal of dirt particles, since strong suction forces in addition to shear are generated around the explosively growing bubble and can exert strong forces lifting the particles from the surface to clean and sucking them toward the bubble. To model material failure and removal, a finite element structure code is used and enables simulation of full fluid-structure interaction and investigation of the effects of various parameters. High impulsive pressures are generated during bubble collapse due to the impact of the bubble reentrant jet on the material surface and the subsequent collapse of the resulting toroidal bubble. Pits and material removal develop on the material surface when the impulsive pressure is large enough to result in high equivalent stresses exceeding the material yield stress or its ultimate strain. Cleaning depends on parameters such as the relative size between the bubble at its maximum volume and the particle size, the bubble standoff distance from the particle and from the material wall, and the excitation pressure field driving the bubble dynamics. These effects are discussed in this contribution.
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Cites
Approximate Riemann solvers, parameter vectors, and difference schemes
Roe, P. L. (1981) · Journal of Computational Physics · doi:10.1016/0021-9991(81)90128-5 · Cited by 9,232
Surface energy and the contact of elastic solids
Johnson, K. L., Kendall, K., & Roberts, A. D. (1971) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1971.0141 · Cited by 8,061
Approximate Riemann Solvers, Parameter Vectors, and Difference Schemes
Roe, P. L. (1997) · Journal of Computational Physics · doi:10.1006/jcph.1997.5705 · Cited by 6,277
White, F. M. (1974) · Cited by 5,899
Effect of contact deformations on the adhesion of particles
Derjaguin, B. V., Muller, V. M., & Toporov, Y. P. (1975) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(75)90018-1 · Cited by 4,589
Physics of shock waves and high-temperature hydrodynamic phenomena
(1970) · Journal of Molecular Structure · doi:10.1016/0022-2860(70)90019-0 · Cited by 4,222
Johnson, G. R. (1983) · Medical Entomology and Zoology · Cited by 3,935
Cavitation and Bubble Dynamics
Brennen, C. E. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781107338760 · Cited by 3,265
Cavitation And Bubble Dynamics
Brennen, C. E. (1995) · doi:10.1093/oso/9780195094091.001.0001 · Cited by 2,444
A numerical method for solving incompressible viscous flow problems
Chorin, A. J. (1967) · Journal of Computational Physics · doi:10.1016/0021-9991(67)90037-x · Cited by 2,345
Cited by
Measurement of Underwater Acoustic Energy Radiated by Single Raindrops
Liu, S., Li, Q., Shang, D., Tang, R., & Zhang, Q. (2021) · Sensors · doi:10.3390/s21082687 · Cited by 10
Metadata
- Authors
- Chahine, G. L., Kapahi, A., Choi, J.-K., & Hsiao, C.-T.
- Venue
- Ultrasonics Sonochemistry
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 29
- Pages
- 528-549
- ISSN
- 1350-4177 (ISSN-L)
- OpenAlex
- W800651370
- Cited by
- 405
- References
- 32
- FWCI
- 9.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
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