Bubble Cloud Generation
Bubble Cloud Generation - Related Videos
01:13
Excess Pressure Inside a Drop and a Bubble
0 Views •
2023
The shape of a small drop of liquid can be considered spherical, neglecting the effect of gravity. This drop can further be considered as two equal hemispherical drops put together due to surface tension. The forces acting on the spherical drop are due to the pressure of the liquid inside the drop, the pressure due to air outside the drop, and the force due to the surface tension acting on the two hemispherical drops. where γ corresponds to the surface tension. Recalling that the force per...
08:28
Synthesis of Phase-shift Nanoemulsions with Narrow Size Distributions for Acoustic Droplet Vaporization and Bubble-enhanced Ultrasound-mediated Ablation
0 Views •
Cited by 18 •
2012
Phase-shift nanoemulsions (PSNE) can be vaporized using high intensity focused ultrasound to enhance localized heating and improve thermal ablation in tumors. In this report, the preparation of stable PSNE with a narrow size distribution is described. Furthermore, the impact of vaporized PSNE on ultrasound-mediated ablation is demonstrated in tissue-mimicking phantoms.
11:05
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
0 Views •
Cited by 10 •
2016
The following paper presents a novel FE simulation technique (KBC-FE), which reduces computational cost by performing simulations on a cloud computing environment, through the application of individual modules. Moreover, it establishes a seamless collaborative network between world leading scientists, enabling the integration of cutting edge knowledge modules into FE simulations.
08:19
Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
0 Views •
Cited by 2 •
2021
A fast and reliable technique is proposed to control the shape oscillations of a single, trapped acoustic bubble that is based on coalescence technique between two bubbles. The steady-state, symmetry-controlled bubble shape oscillations allow analysis of the fluid flow generated in the vicinity of the bubble interface.
11:14
A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level
0 Views •
Cited by 8 •
2017
A microfluidic chip was fabricated to produce pairs of gold dots for tandem bubble generation and fibronectin-coated islands for single-cell patterning nearby. The resultant flow field was characterized by particle image velocimetry and was employed to study various bioeffects, including cell membrane poration, membrane deformation, and intracellular calcium response.
FAQs
Bubble clouds arise through two main routes: dissolved gas can leave solution, or an acoustic or mechanical force can nucleate bubbles. After nucleation, individual bubbles grow, interact, and may coalesce, so the final cloud reflects both the initial gas-release or forcing condition and subsequent bubble dynamics. Distinguishing these stages helps researchers interpret changes in cloud structure.
These properties strongly influence the reproducibility and safety of the process. Bubble size and distribution affect how the cloud occupies the liquid, while stability determines how long its effects persist. Collapse can alter local conditions and may produce unwanted effects in biological systems. Controlling all four characteristics helps researchers obtain consistent performance while limiting damage to cells or tissues.
A bubble cloud can modify local fluid flow, pressure, and mass transfer. These changes allow the cloud to influence how materials move, mix, or exchange across the liquid environment. In bioengineering, the same effects can be useful for processing or delivery, but they also make control important because localized physical changes may affect biological materials, cells, or tissues.
Researchers should control the way bubbles are nucleated, whether by gas coming out of solution or by applied acoustic or mechanical force. They must also manage bubble size, distribution, stability, growth, interaction, coalescence, and collapse. Monitoring these features supports reproducible cloud behavior and helps align the resulting fluid, pressure, and mass-transfer effects with the intended bioengineering use.
The process can support several distinct bioengineering functions, including fluid mixing, emulsification, cell processing, imaging, and targeted delivery. These applications rely on different consequences of the cloud, such as altered flow, pressure, or mass transfer. Selecting and controlling the bubble population is therefore important for matching the generated cloud to the desired processing or biological outcome.
Bubble clouds can interact with biological systems through changes in local flow, pressure, and mass transfer, making them useful for cell processing and targeted delivery. However, biological systems are also sensitive to uncontrolled bubble behavior, particularly when bubbles grow, coalesce, or collapse. Bioengineering applications therefore require a balance between useful manipulation and limiting unwanted effects on cells and tissues.