Dr.Mohammad Al-Rawi’s Post

In a previous post, I showed the beveled supersonic nozzle. If you want to use it in a Laser Wakefield Acceleration experiment, remember that if the bevel position is chosen properly, the beveled nozzle can generate an interesting gas density profile with a flat top profile and long gas density ramp. This profile might be suitable if we want to match the electron beam emittance from one stage to the next stage or accelerator element. I did a fast CFD simulation to check it. Here are the results.

More about turbulence Prandtl number: Here set up is completely same i.e mesh size, turbulence model, timestep, simulation time, boundary condition etc. The only difference is the turbulence Prandtl number which we can define locally and globally. Images are indicating temperature boundary layer for small and large variations of turbulence Prandtl number. This is why validation of CFD problems and in complex cases verification by a good benchmark in same range of the non dimensional numbers like Reynolds, Peclet, etc and almost same physics is necessary. When talking about boundary layer is it not only near wall boundary layer, but also inlet boundary layer, jet boundary layer etc. Just wanted to mention turbulence is still unknown phenomenon in physics.

Large Eddy Simulation (LES) has recently gained importance in computational fluid dynamics (CFD). This surge is primarily due to the inherent trade-offs involved in traditional Reynolds-averaged Navier Stokes (RANS)-based CFD, such as limited design spaces, long run times, and reduced physics. In this blog post, we will focus on how users can benefit from an LES workflow using Fidelity Pointwise and Fidelity LES Solver, formerly CharLES, specialized meshing tool, and GPU-enabled wall-modeled LES code, respectively. Read more: https://ow.ly/ftEs50SRRtu Watch the on-demand video: ow.ly/Oo3430sEAkO

With our recent CFD-DEM development, we are now able to simulate the movement and interaction of non-spherical particles. Combined with our previous effort in particle tribocharging modelling, we can now explore how the particle shape affect the tribocharging phenomenon. Left to right: Fluidisation of particle mixture (Mixture of cuboid, sphere, rod and ellipsoid), tribocharging of particle mixture, fluidisation of rods, tribocharging of rods.

Large Eddy Simulation (LES) has recently gained importance in computational fluid dynamics (CFD). This surge is primarily due to the inherent trade-offs involved in traditional Reynolds-averaged Navier Stokes (RANS)-based CFD, such as limited design spaces, long run times, and reduced physics. In this blog post, we will focus on how users can benefit from an LES workflow using Fidelity Pointwise and Fidelity LES Solver, formerly CharLES, specialized meshing tool, and GPU-enabled wall-modeled LES code, respectively. Read more: https://ow.ly/ktB250SMia5 Watch the on-demand video: ow.ly/Oo3430sEAkO

Exploring the dynamics of billiard ball collisions using ANSYS Explicit Dynamics. This simulation captures the transfer of velocity and energy between two balls upon impact, showcasing the detailed analysis of contact forces, stress distribution, and deformation. #ANSYS #ExplicitDynamics #BilliardBallCollision #EngineeringSimulation #VelocityTransfer

Enhancing Continuous Casting Efficiency: A CFD Modeling Study of Tundish Dynamics

Large Eddy Simulation (LES) has recently gained importance in computational fluid dynamics (CFD). This surge is primarily due to the inherent trade-offs involved in traditional Reynolds-averaged Navier Stokes (RANS)-based CFD, such as limited design spaces, long run times, and reduced physics. In this blog post, we will focus on how users can benefit from an LES workflow using Fidelity Pointwise and Fidelity LES Solver, formerly CharLES, specialized meshing tool, and GPU-enabled wall-modeled LES code, respectively. Read more: https://ow.ly/iesL50SAMn3 Watch the on-demand video: ow.ly/Oo3430sEAkO

Enhancing Continuous Casting Efficiency: A CFD Modeling Study of Tundish Dynamics

🚀 Newton-Raphson in CFD: Tackling Nonlinear Equations 🌬️ In CFD analysis, solving nonlinear algebraic equations—arising from discretized fluid flow models—is key. The Newton-Raphson method shines here with its fast convergence and ability to handle complex nonlinearities like turbulence and compressible flows. While it demands a good initial guess and careful conditioning, its efficiency makes it indispensable for steady-state and transient simulations. #CFD #NewtonRaphson #NumericalMethods #EngineeringOptimization