Dynamic Fluid Flow
Dynamic Fluid Flow - Related Videos
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
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2023
Source: Joseph C. Muskat, Vitaliy L. Rayz, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana The objective of this video is to describe recent advancements of computational fluid dynamic (CFD) simulations based on patient- or animal-specific vasculature. Here, subject-based vessel segmentations were created, and, using a combination of open-source and commercial tools, a high-resolution numerical solution was determined within a flow model.
10:09
Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
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Cited by 2 •
2014
Drop impact of non-Newtonian fluids is a complex process since different physical parameters influence the dynamics over a very short time (less than one tenth of a millisecond). A fast imaging technique is introduced in order to characterize the impact behaviors of different non-Newtonian fluids.
01:27
Steady Flow of a Fluid Stream
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2024
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2. During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
03:03
Identification and Enumeration of Immune Cells in Bronchoalveolar Lavage Fluid by Flow Cytometry
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2025
This video demonstrates the use of flow cytometry to identify and count various immune cells in bronchoalveolar lavage fluid. Initially, single immune cells are identified using a viability dye, followed by differential staining of surface marker proteins, enabling the precise enumeration of each cell type.
08:11
Analysis of Gene Function and Visualization of Cilia-Generated Fluid Flow in Kupffer's Vesicle
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Cited by 19 •
2013
Cilia-generated fluid flow in Kupffer’s Vesicle (KV) controls left-right patterning of the zebrafish embryo. Here, we describe a technique to modulate gene function specifically in KV cells. In addition, we show how to deliver fluorescent beads into KV to visualize fluid flow.
FAQs
Pressure gradients provide the driving force for movement, while viscosity describes resistance within the liquid or gas. Fluid resistance further limits transport through a system, so changes in these factors alter velocity and flow behavior. Considering them together helps explain why the same fluid may move differently when conditions or channel geometry change.
Conservation of mass requires fluid transport to remain consistent with the amount entering, leaving, or moving through a system. Conservation of momentum connects changes in motion to applied forces. Applying both principles allows researchers to relate pressure, velocity, resistance, and geometry when modeling flow in engineered or biological environments.
Changes in channel geometry can modify how quickly fluid moves and how its motion develops over time. Because geometry interacts with pressure gradients, viscosity, and resistance, narrowing or reshaping a passage can change transport conditions and contribute to steady, pulsatile, laminar, or turbulent behavior. This makes geometry an important design variable in fluid-based systems.
A useful analysis begins by identifying the relevant pressure gradients, viscosity, resistance, velocity, and channel geometry. Researchers then consider how these variables change over time and apply conservation of mass and momentum to interpret the resulting motion. The analysis can distinguish steady from pulsatile behavior and support models of transport in biological or engineered systems.
Bioengineering applications include modeling blood circulation, nutrient delivery, and respiratory transport. These examples show how flow principles connect physical transport with biological function. Understanding the relevant pressure, resistance, viscosity, and velocity relationships helps researchers evaluate how fluids move through living systems and how engineered designs may control comparable transport processes.
Characterizing fluid motion informs the design of medical implants, lab-on-a-chip systems, tissue-engineering platforms, microfluidic devices, and bioreactors. In each case, researchers need to understand how fluid transport responds to changing conditions and channel geometry. This knowledge supports controlled delivery, circulation, or processing where predictable movement is important to system performance.