scholarly journals Optical and acoustic monitoring of bubble cloud dynamics at a tissue-fluid interface in ultrasound tissue erosion

2007 ◽  
Vol 121 (4) ◽  
pp. 2421-2430 ◽  
Author(s):  
Zhen Xu ◽  
Timothy L. Hall ◽  
J. Brian Fowlkes ◽  
Charles A. Cain
Fluids ◽  
2021 ◽  
Vol 6 (6) ◽  
pp. 215
Author(s):  
Paul McGinn ◽  
Daniel Pearce ◽  
Yannis Hardalupas ◽  
Alex Taylor ◽  
Konstantina Vogiatzaki

This paper provides new physical insight into the coupling between flow dynamics and cavitation bubble cloud behaviour at conditions relevant to both cavitation inception and the more complex phenomenon of flow “choking” using a multiphase compressible framework. Understanding the cavitation bubble cloud process and the parameters that determine its break-off frequency is important for control of phenomena such as structure vibration and erosion. Initially, the role of the pressure waves in the flow development is investigated. We highlight the differences between “physical” and “artificial” numerical waves by comparing cases with different boundary and differencing schemes. We analyse in detail the prediction of the coupling of flow and cavitation dynamics in a micro-channel 20 m high containing Diesel at pressure differences 7 MPa and 8.5 MPa, corresponding to cavitation inception and "choking" conditions respectively. The results have a very good agreement with experimental data and demonstrate that pressure wave dynamics, rather than the “re-entrant jet dynamics” suggested by previous studies, determine the characteristics of the bubble cloud dynamics under “choking” conditions.


2011 ◽  
Vol 129 (4) ◽  
pp. 2619-2619 ◽  
Author(s):  
R. Glynn Holt ◽  
Phillip A. Anderson ◽  
Ashwinkumar Sampathkumar ◽  
Jonathan R. Sukovich ◽  
D. Felipe Gaitan

2018 ◽  
Vol 144 (3) ◽  
pp. 1780-1780
Author(s):  
Kazuki Maeda ◽  
Tim Colonius ◽  
Adam D. Maxwell ◽  
Wayne Kreider ◽  
Michael R. Bailey

2007 ◽  
Vol 122 (1) ◽  
pp. 229-236 ◽  
Author(s):  
Zhen Xu ◽  
Timothy L. Hall ◽  
J. Brian Fowlkes ◽  
Charles A. Cain

Author(s):  
Michel Tanguay ◽  
Tim Colonius

To provide greater understanding of some of the phenomena in Extracorporeal Shock Wave Lithotripsy (ESWL), we implemented a two-phase continuum model for cavitating flow and applied it to the simulation of bubble cloud dynamics in an electro-hydraulic lithotripter. Through the combination of a WENO shock capturing scheme, curvilinear coordinates system and ensemble averaged mixture model, we computed the evolution of the lithotripsy shock wave and the concomitant cavitation field. In this paper, we present the results for three different configurations: a single-pulse lithotripter (free field), a single-pulse lithotripter with rigid artificial kidney stone at the focal point, and a dual-pulse lithotripter. Qualitative and quantitative comparisons of the numerical results to experimental observations are also included.


2015 ◽  
Vol 137 (12) ◽  
Author(s):  
Jingsen Ma ◽  
Chao-Tsung Hsiao ◽  
Georges L. Chahine

Cavitating and bubbly flows are encountered in many engineering problems involving propellers, pumps, valves, ultrasonic biomedical applications, etc. In this contribution, an openmp parallelized Euler–Lagrange model of two-phase flow problems and cavitation is presented. The two-phase medium is treated as a continuum and solved on an Eulerian grid, while the discrete bubbles are tracked in a Lagrangian fashion with their dynamics computed. The intimate coupling between the two description levels is realized through the local void fraction, which is computed from the instantaneous bubble volumes and locations, and provides the continuum properties. Since, in practice, any such flows will involve large numbers of bubbles, schemes for significant speedup are needed to reduce computation times. We present here a shared-memory parallelization scheme combining domain decomposition for the continuum domain and number decomposition for the bubbles; both selected to realize maximum speedup and good load balance. The Eulerian computational domain is subdivided based on geometry into several subdomains, while for the Lagrangian computations, the bubbles are subdivided based on their indices into several subsets. The number of fluid subdomains and bubble subsets matches with the number of central processing unit (CPU) cores available in a shared-memory system. Computation of the continuum solution and the bubble dynamics proceeds sequentially. During each computation time step, all selected openmp threads are first used to evolve the fluid solution, with each handling one subdomain. Upon completion, the openmp threads selected for the Lagrangian solution are then used to execute the bubble computations. All data exchanges are executed through the shared memory. Extra steps are taken to localize the memory access pattern to minimize nonlocal data fetch latency, since severe performance penalty may occur on a nonuniform memory architecture (NUMA) multiprocessing system where thread access to nonlocal memory is much slower than to local memory. This parallelization scheme is illustrated on a typical nonuniform bubbly flow problem, cloud bubble dynamics near a rigid wall driven by an imposed pressure function (Ma et al., 2013, “Euler–Lagrange Simulations of Bubble Cloud Dynamics Near a Wall,” International Mechanical Engineering Congress and Exposition, San Diego, CA, Nov. 15–21, Paper No. IMECE2013-65191 and Ma et al., 2015, “Euler–Lagrange Simulations of Bubble Cloud Dynamics Near a Wall,” ASME J. Fluids Eng., 137(4), p. 041301).


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