Computational Fluid Dynamics
Computational Fluid Dynamics - 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.
06:37
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Cited by 2 •
2021
Melts and fluids are ubiquitous vectors of mass transport in natural systems. We have developed an open-source package to analyze ab initio molecular-dynamics simulations of such systems. We compute structural (bonding, clusterization, chemical speciation), transport (diffusion, viscosity) and thermodynamic properties (vibrational spectrum).
03:34
Spatial Measurement of Tumor Interstitial Fluid Pressure: A Method to Measure the Interstitial Fluid Pressure
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2023
This video describes a technique of measuring the interstitial fluid pressure within a tumor by perfusion imaging using an image-guided robotic system. Measurements are compared to the intra-tumoral accumulation of liposomes, within a solid tumor.
05:43
Real-Time Dynamic Collection of Hippocampal Extracellular Fluid from Conscious Rats Using a Microdialysis System
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2022
The protocol here provides a detailed real-time dynamic sampling of extracellular fluid from the hippocampus of awake rats using a microdialysis system.
FAQs
The mesh divides the fluid domain into smaller computational regions where the governing conservation equations can be solved. Its representation determines how effectively the simulation captures flow near surfaces, within vessels, or around cells. A mesh therefore connects the physical geometry to numerical prediction, influencing how researchers examine fluid movement, shear stress, and transported substances.
Boundary and initial conditions describe the state of the modeled system before and at the limits of the calculation. Together with discretized conservation equations for mass, momentum, and energy, they constrain how the fluid can evolve within the domain. Defining them allows the computation to represent a particular biological flow problem rather than an unspecified fluid system.
CFD can help examine how fluid forces and transported substances behave within biological environments. In particular, simulations can support analysis of shear stress, mixing, and transport in systems such as blood vessels, respiratory pathways, cells, and bioreactors. These outputs connect fluid behavior with the conditions experienced by biological structures or engineered systems.
A typical workflow begins by representing the biological fluid domain, dividing it into a mesh, and defining the relevant boundary and initial conditions. The discretized conservation equations are then solved computationally to predict fluid behavior and transported substances. Researchers can interpret the resulting flow, shear, mixing, or transport patterns alongside biological measurements or experimental plans.
The method is useful when researchers need to investigate fluid behavior in systems that are difficult to examine comprehensively through direct measurement alone. Biological applications include blood flow through vessels, air transport in respiratory systems, fluid movement around cells, and flow within bioreactors. It can also guide experimental design and help interpret biological measurements.
Simulation results can inform the development of biomedical devices and engineered tissue systems by showing how fluids move, interact with surfaces, and transport substances within a designed environment. Modeling also supports examination of shear stress and mixing in bioreactors. These insights help researchers assess fluid conditions during design and relate system behavior to biological objectives.