Kelly Senecal’s Post

## Radiative heat transfer equation in CFD 1) Radiation intensity changes along space 2) Gaseous medium absorbs radiation 3) Hot gaseous medium emits radiation 4) Gaseous medium scatters the radiation and changes its direction deflecting from original Subscribe channel to keep updated about all the upcoming CFD knowledge !!!! #cfd #heattransfer #radiation #ansys #openfoam https://lnkd.in/daBZMEiZ

Two-component flow simulation using Lattice Boltzmann Method: Vortex ring (water phase) and oil bubble (oil phase) interaction at Re =10000. #twocomponentfl #latticeboltzmannmethod #CFD

# multi-phase simulation by VOF model # swirl-atomizer simulation Simulation of swirl-pressure atomizer using swirl-axisymmetric model, multiphase volume of fluid model and RANS turbulence model. The nature of the flow in the swirl atomizer is like a free vortex and reduces the pressure in the axis of the atomizer. As the flow rate/rotation increases, the pressure decreases further until it drops below the ambient pressure and causes air to be sucked into the atomizer. So we have an air core in the center and an annular layer of liquid rotating around it.

It's always the question. Which turbulence Prandtl number for which simulation. What about if it's a combination of internal and external flow? Turbulence Prandtl number is modifying thermal boundary layer thickness. Depends on the problem, it should be chosen in a way that thermal boundary layer be equal to/smaller or larger than flow boundary layer thickness. If it is chosen incorrectly it will return incorrect heat transfer coefficient. Sometimes it needs to be modified not only in time but also in space. Therefore, global and local turbulence Prandtl number comes to picture. It's only one simple value in CFD simulation 😅 and every CFD guy will tell you use 0.86-0.87. or a bit smaller or larger. But it's not always true.

Obtaining emulsions by mixing two immiscible liquids is tricky. If you have doubts that a specific system design could reach the desired particle size, we can help you with our expertise based on CFD simulations. We can predict the particle size histogram, evaluate the homogeneity, and other useful parameters.

In the field of CFD, one of my favorite things is showing simple engineering examples that showcase complex flow phenomena or unique features. A good example would be flow separation on an airfoil, vortex shedding, or various methods of adaptive mesh refinement used by grid-based solvers. With this post, I'd like to highlight one such mesmerizing feature from the field of SPH (Smoothed Particles Hydrodynamics). The feature is called #CPS (Continuous Particle Size) and it's available only in #PreonLab. Without telling you what it does, can you figure it out from the video below? There are at least five specific details you can spot in the video below that are directly or indirectly related to CPS and that make it unique. Comment in the chat section if you can spot all five of them.

I love CFD! Ignition of liquid rocket engines is a challenging problem. One of several ignition methods is a torch ignitor, where hot combustion products are injected into a stream of reactants. Failure to ignite or flashback can occur when the flow rates are too low, and if flow is injected too late, pressure surges or detonation waves can destroy a combustor. Here we model torch ignition of a subcritical liquid-oxygen single element liquid rocket combustor with CONVERGE CFD. Detailed chemistry, large eddy simulation, and adaptive mesh refinement are used to efficiently model this complex process. How cool is this? Thanks to David Rowinski for providing this case. 🚀 🔥 #cfd #convergecfd

If you want to learning something new about CFD today, you can watch this. A lot of colorful images are shown but this is not definitely just a show of these colorful images and animations. Every image is explained in detail. What causes this result, what causes these instabilities and which plot to look for more information, etc.

Dr. Jeff Franklin discusses how predicting flow structures inside a Cyclone Geometry is challenging for CFD tools. The full video of his discussion can be found here: https://lnkd.in/gAhd6Q9F

Fluid thermal coupling Simulation...