Internal Combustion Engine Simulation with CFD 🔥

CFD handles complex geometries, perform full cycle simulations, features automatic grid generation on the fly with adaptive and automatic mesh
refinement. You can leverage one of many turbulence models, advanced combustion models, or predictive spray models to get engine CFD solutions.

 @cfdanalysis.ir

#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd #simulation

Did you know that you can run qDNS simulations i Simcenter STAR-CCM+?
We will look also at the new SIMPLEC implicit unsteady scheme and see how that performs in terms of convergence.
@cfdanalysis.ir

#CFD #Turbulence #News #Simcenter #engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd #simulation

hydrodynamics #performance #engineering is critical to the #design of any #vessels. Over the last 5-10 years #computationalfluiddynamics has played an ever-increasing role in #vesseldesign. #cfd has extended beyond external hydrodynamics to include more complex #motions and physical processes allowing the shift towards #simulating full scale vessel under real operating conditions.


@cfdanalysis.ir


#marineengineering #marine #marineindustry #marineengineer #marinetechnology #vessels #ship #shipbuilding #australianmanufacturing #australianmade #australiandesign #yatch #boat #boatdesign #shippingindustry #simcenter #starccm

Impulse mixers present a complex flapping motion. The mixing disk is driven up and down while the flaps individually open/close depending on their movement relative to the fluid. Here we show the flow around the mixing disk in terms of two-fluid mixing (left), and velocity/vorticity (right).

The motion generates a compelling flow field--and an alternative to traditional agitation via impellers.

Simulation is perfect for this type of system. And there are no tricks here. Yes, the movement of the individual flaps is correctly modeled as freely rotating objects. Yes, the solver is fully transient with an LES turbulence fluid model. Yes, the model includes a time-accurate and dynamic free surface.



This movie presents 1 one minute of mixing in a 1-m diameter vessel. The simulation contains 75 million grid points, corresponding to a grid spacing of 2.5 mm.


@cfdanalysis.ir
#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd #simulation

⁠Rotor blade aeroelasticity


The precise interaction between aerodynamic forces and the structural response of rotor blades is crucial in various applications such as helicopters, urban air mobility vehicles, and wind turbines. Accurate predictions of this interaction are necessary to ensure the safety and efficiency of these systems.

The dynamic loads transmitted from the rotor to the fuselage generate vibrations, discomfort and alternating stresses on the components. A promising approach is to perform aeroelastic optimization of the rotor in order to reduce the dynamic loads at their sources. This optimization can be achieved by introducing couplings between the flapping and torsional modes of the blade.

High-fidelity aeroelastic simulations are a key enabler to understand, visualize and optimize existing interactions. The blade model is an element of the fluid-structure coupling, which accepts as external loading aerodynamic forces to calculate the blade dynamics.

Numerical simulation is a great tool to evaluate the aeroelastic performances of a helicopter. Source:


@cfdanalysis.ir
#sciences #technology #engineering #mechanicalengineering #physics #cfd #simulation

⁠Hybrid RANS-LES Turbulence Model 🚗

In most industrial cases, LES is too expensive because it requires a very fine mesh, notably in the boundary layers. On the other hand, URANS gives a smooth solution where small turbulence structures and there corresponding frequencies are lost. Hence, hybrid RAN-LES turbulence model have been developed to combine the best of both world: a RANS approach in the free stream and boundary layer, and LES in the unsteady separated regions. These models are often used in aerodynamics but are also very useful in fluid structure interaction, where you need to accurately capture the fluid excitation frequencies.

The animation below shows an external aerodynamic simulation done with Star-CCM+ using the Improved Delayed Detached Eddy Simulation (IDDES) model, combined with Adaptative Mesh Refinement (AMR). Iso-surface of Q-criterion shows the turbulent coherent structures generated by the wheels and rearview mirrors.




@cfdanalysis.ir
#sciences
#technology #engineering #mechanicalengineering #physics #cfd #simulation

#cfd #IDDES #aerodynamics #starccm+

Car aerodynamic in a wind tunnel

Aerodynamics play a crucial role in determining a vehicle's performance, fuel efficiency, and overall design. One way car manufacturers test and improve the aerodynamics of their vehicles is by using a wind tunnel.

In a wind tunnel, a car is placed on a platform and exposed to a controlled airflow, which simulates real-world driving conditions. This controlled environment enables engineers to measure various aerodynamic parameters, including the car's drag coefficient, lift, and downforce.

To maximize the effectiveness of wind tunnel testing, different experimental techniques are employed. Particle Image Velocimetry (PIV) is a particularly powerful tool for studying fluid flow and can provide valuable insights into how air interacts with vehicles.

CFD is a powerful tool that can supplement experimental tests and help maximize the aerodynamic efficiency of a vehicle.
@cfdanalysis.ir

#CFD #EFD #windtunnel #vehicle #aerodynamics #car #engineering #PIV

Determining where fluids such as water and mud, which will splash in the deposits that vehicles enter along the road, will splash under or above the hood is important both for engine health and for not obstructing the driver's view.

In CFD studies, both the identification of moving parts and the capture of jumps in such cases are challenging parts.

@cfdanalysis.ir

#simcenter #cfd #sphflow #siemens

HVAC simulation as input for noise prediction. Modeled as stand-alone HVAC duct in Simcenter STAR-CCM+ and weakly coupled to Simcenter 3D for acoustic propagation
@cfdanalysis.ir

#siemens #simcenter #starccm #acoustic #cfd

I will share some important tips to get high-fidelity CFD simulations.

This simulation is part of my comparative study of motion prediction using a potential flow (PF) solver and Reynolds averaged Navier -Stokes (RANS) for DTMB 5415 in addition to a sensitivity study of setup parameters on the numerical simulation of the motion behavior in quarter waves.

The scope of this research project is to investigate different alternative methods that can be applied to determine ship motions as they differ significantly in terms of accuracy and computational effort.
@cfdanalysis.ir

#projects #cfd #researchanddevelopment #hydrodynamics #offshore #ship #engineering #share #knowledge #design #researchfellow

⁠Our magic number appears to be 0.02 - Why? Help us to find out!

Near stall over wings and airfoils, we often encounter an aerodynamic instability called "buffet" (has nothing to do with food or stocks). For free-transitional cases, an additional instability becomes quite prominent and is associated with an unstable separation bubble. Scaling these frequencies by the maximum reverse velocity as well as length of the separation bubble, we obtain for several test cases at different Mach and Reynolds numbers a constant value of about 0.02. We are still not sure about the exact physical interpretation, which requires more test cases and data. Your turn! ;)

Below a little movie showing on the left pressure fluctuations of an Spectral-Error based Large-Eddy Simulation (SE-LES) of #ONERA's OALT25 profile. On the right-hand-side, we extracted from simulation data dominant oscillations corresponding to the bubble instability, using Spectral Proper Orthogonal Decomposition (#SPOD).
@cfdanalysis.ir


#Transonic #Buffet #Wing #Aerodynamics #CFD #Engineering

I love CFD!

Check out this incredible quadcopter simulation made possible with autonomous meshing and efficient parallel scaling. The iso-surface shows the Q-criterion, colored by velocity.
@cfdanalysis.ir

#cfd #star_ccm_cfd #drones

An Oscillating Water Column (OCW) wave energy converter uses the motion of ocean waves to compress and expand air within a chamber, which drives a turbine to generate electricity. It is a sustainable and environmentally friendly way to harness the power of waves for renewable energy production.

Here's a CFD simulation illustrating that concept. It was modeled in FLOW-3D HYDRO, using two fluids (air & water), coupling motion of the air turbine. You can see the air flow rate and kinetic energy on the graphs, but you could also measure the power output of the turbine.

@cfdanalysis.ir


#waveenergy #cfd #renewableenergy #coastalengineering 🌊

Superposed Rigid Body Motions + Adaptative Mesh Refinement 💡

Star-CCM+ allows to superpose motions which is very useful to define complex motions such as the phase-shifted double rotations shown on the video below. Additionally, local reference frames are automatically created so that you can define plane sections, or any derived parts, that moves with the region. Fixed views can also be set up.

In the example below, the pre-defined VOF criteria of the Adaptative Mesh Refinement (AMR) model was used. It is very easy to set up and allows to put more cells where it matters: around the free surface. For small models such as this one, the AMR can be activated at each time-step, ensuring a very good tracking of the interface.

@cfdanalysis.ir
#cfd #starccm+ #rigidbodymotion #AMR

Airplane CFD - but from the inside!
🌬 This simulation analyzes the air flow inside the passenger cabin of an airliner.
CFD simulations help to maximize passenger comfort in an early design phase.
🦠 The main reason why this simulation was performed: analyze distribution of airborne spread diseases like COVID: https://lnkd.in/em7kxxBG

Physically, this features
💻 a coupled solver,
🕸 polyhedral mesh,
🌀 RANS with k omega turbulence model,
⏲ steady state.
@cfdanalysis.ir
#cfd #simulation #simcenter #airtravel

Siemens Simcenter STAR-CCM+ has pushed a powerful application of #ai into our Simcenter STAR-CCM+ services capabilities for the #automotive industry. Rather than manually selecting, naming, tagging, and processing thousands of parts by hand in a large assembly, a machine learning based feature can do it automatically. This has the potential to reduce what normally would take about a week of dedicated work to being able to be completed in a single day.

Yet another application of #machinelearning for greatly improving the user experience when working with commercial #software. Reach out to engage with our engineering services group on this service if this sounds useful for you.
@cfdanalysis.ir
#cad #siemens #cfd #simulation #simcenter #airtravel

The numerical reproduction of bird flight allows to shed some light on the efficiency-unlocking mechanisms of flapping gaits or flight strategies. Numerical simulation can be exploited in a different way too: it can complement and guide experimental works.

@cfdanalysis.ir

#birdflight #aerodynamics #cfd

This simulation of an electric motor is done in Simcenter STAR-CCM+ and shows some important features:
🧲 electromagnetic simulations, field data first in two dimensions, then mapped to 3D. This GREATLY reduces computational effort.
⚙ motion.
🔥 heat.
💧 flow through the cooling system.

With ease you can optimize electric motors, limiting peak temperatures, ensuring maximum torque and continuous power!
@cfdanalysis.ir
#simulation #simcenter #innovation #starccm #EV #emag

What kind of CFD is this? 🤔
Here we have an application of a transient liquid flow through a trifold membrane. A complex external pressure is applied to the fluid - and the mechanically modeled membrane reacts to that.

Highlights:

♥ Fluid Structure Interaction (FSI)

🖤Overset Mesh

❤ Mechanical Stress



@cfdanalysis.ir

#simulation #simcenter #innovation #cfd

When you ask a fluid mechanic engineer
"how we make babies", the answer can quickly become technical.

@cfdanalysis.ir
#siemens #cfd #baby #starccm #simcenter

⁠'Adding a turbulator will help improve droplet evaporation' - or so I thought. Perhaps that's obvious to some engineering wizards out there, but it wasn't to me. It turns out that the heavier droplets move towards the outside of the helix, coalesce upon impact and actually reduce the overall heat transfer. You can actually see tiny whisps of heated particles as they leave the turbulator. Luckily, Simulations allows you to add layers of physics to explore complex emergent phenomenon instead of relying on engineering intuition. Combined with an impossibly fast NVIDIA GPU-native solver, these simulations can be completed in minutes allowing engineers to rapidly understand the design space. LES turbulence, heat transfer, DEM particles, particle breakup and coalescence, scalar transport, reactions, heat transfer, moving bodies and did I mention heat transfer? And it continues to increase.


@cfdanalysis.ir

#engineering #cfd # #engineers #computationalfluiddynamics #nvidia #hpc #gpucomputing #turbulator #nurbulator