Multiphase CFD for clear vision 🤓
Many multiphase applications require accurate, yet efficient treatment of droplets sliding across surfaces.
💧 Typical use cases include tracing rain droplets sliding on the surfaces of moving vehicles, including windshields, mirrors, and car sensor surfaces.
🌊While it is in principle possible to use the high-fidelity Volume of Fluid (VOF) method, it is very expensive, and for a large number of sliding droplets, the VOF simulation is computationally prohibitive.
👩💻 To predict the dynamics of these droplets on surfaces, a Lagrangian approach is very efficient, but it is of fundamental importance to take surface tension effects into account with high accuracy.
🎆 With Simcenter STAR-CCM+ 2310 we therefore introduce a new type of Lagrangian phase, so-called wall-bound droplets, and a new particle shape model called Spherical Cap Particles. 🥳 The whole new modeling framework, with its first sub-models, enables you to run simulations with accurate and fast tracking of sliding droplets and rivulets. This results in improved accuracy and speed of water management simulations.
@cfdanalysis.ir
#simcenter #cfd #simulation #multiphase #vof
Many multiphase applications require accurate, yet efficient treatment of droplets sliding across surfaces.
💧 Typical use cases include tracing rain droplets sliding on the surfaces of moving vehicles, including windshields, mirrors, and car sensor surfaces.
🌊While it is in principle possible to use the high-fidelity Volume of Fluid (VOF) method, it is very expensive, and for a large number of sliding droplets, the VOF simulation is computationally prohibitive.
👩💻 To predict the dynamics of these droplets on surfaces, a Lagrangian approach is very efficient, but it is of fundamental importance to take surface tension effects into account with high accuracy.
🎆 With Simcenter STAR-CCM+ 2310 we therefore introduce a new type of Lagrangian phase, so-called wall-bound droplets, and a new particle shape model called Spherical Cap Particles. 🥳 The whole new modeling framework, with its first sub-models, enables you to run simulations with accurate and fast tracking of sliding droplets and rivulets. This results in improved accuracy and speed of water management simulations.
@cfdanalysis.ir
#simcenter #cfd #simulation #multiphase #vof
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Hydrogen is everywhere these days, including CFD!
In this study, we simulated a dual swirl coaxial injector,
called a HYLON (Hydrogen Low NOx) burner. On the left we've captured an
attached flame condition under low fuel and air flow rates. On the right, the
conditions produce a lifted flame. Lifted flames typically produce less NOx
than attached flames, making it desirable to operate the burner in this regime.
@cfdanalysis.ir
#convergecfd #cfd #hydrogen
In this study, we simulated a dual swirl coaxial injector,
called a HYLON (Hydrogen Low NOx) burner. On the left we've captured an
attached flame condition under low fuel and air flow rates. On the right, the
conditions produce a lifted flame. Lifted flames typically produce less NOx
than attached flames, making it desirable to operate the burner in this regime.
@cfdanalysis.ir
#convergecfd #cfd #hydrogen
CFDAnalysis.ir
Video
Electric vehicle water wading
The location of the battery in electric vehicles represents
a challenge in terms of water management and resistance to environmental
conditions. In the automotive industry, understanding these issues is key to
ensure the durability and optimum performance of electric vehicles.
Proper protection of electric vehicles from excessive
exposure to water is important to prevent damage, particularly to the battery.
Effective drainage management near the battery can avoid any potential
water-related risks. At the same time, various factors also have an impact on
the electric car, such as the vehicle's ride height or problems associated with
extreme weather and dirt.
CFD simulations enable the drainage and flow of water around
the lower battery panels to be visualized, as well as the identification of
sensitive areas where water could accumulate. It provides information about
areas of water concentration and it helps engineers decide how to make things
better, like adding extra protection. This ensures that electric car batteries
stay strong for a long time, even in challenging environments.
@cfdanalysis.ir
#ElectricVehicles #AutomotiveIndustry #WaterManagement
#EnvironmentalResistance #CFDSimulations #EngineeringSolutions #Innovation
#ElectricAutomotiveIndustry
The location of the battery in electric vehicles represents
a challenge in terms of water management and resistance to environmental
conditions. In the automotive industry, understanding these issues is key to
ensure the durability and optimum performance of electric vehicles.
Proper protection of electric vehicles from excessive
exposure to water is important to prevent damage, particularly to the battery.
Effective drainage management near the battery can avoid any potential
water-related risks. At the same time, various factors also have an impact on
the electric car, such as the vehicle's ride height or problems associated with
extreme weather and dirt.
CFD simulations enable the drainage and flow of water around
the lower battery panels to be visualized, as well as the identification of
sensitive areas where water could accumulate. It provides information about
areas of water concentration and it helps engineers decide how to make things
better, like adding extra protection. This ensures that electric car batteries
stay strong for a long time, even in challenging environments.
@cfdanalysis.ir
#ElectricVehicles #AutomotiveIndustry #WaterManagement
#EnvironmentalResistance #CFDSimulations #EngineeringSolutions #Innovation
#ElectricAutomotiveIndustry
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🚗 What's your favorite
way to visualize a vortex structure?
This classic LeMans Racecar external aerodynamics is used to
benchmark new computing platforms in Simcenter STAR-CCM+.
The visualisation show q criteria isosurfaces coloured in
vorticity magnitude, while the body shows the wall shear stress magnitude
logarithmically.
Then it all gets "painted" over by a section
showing the total pressure coefficient, leaving the body coloured in pressure
coefficient.
@cfdanalysis.ir
hashtag#simcenter hashtag#siemens hashtag#cae
hashtag#engineering hashtag#cfd
way to visualize a vortex structure?
This classic LeMans Racecar external aerodynamics is used to
benchmark new computing platforms in Simcenter STAR-CCM+.
The visualisation show q criteria isosurfaces coloured in
vorticity magnitude, while the body shows the wall shear stress magnitude
logarithmically.
Then it all gets "painted" over by a section
showing the total pressure coefficient, leaving the body coloured in pressure
coefficient.
@cfdanalysis.ir
hashtag#simcenter hashtag#siemens hashtag#cae
hashtag#engineering hashtag#cfd
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CFD for Air Conditioning? 🥶 It is SO MUCH more!
Our new Thermal Cabin Comfort CFD models can predict
passenger - based on scientific and industry-relevant Fiala models and more.
My personal highlights:
💯 hundreds of options in
the templates! Tall woman, small fat man - you name it, we have it!
👥 Manekins consist of 57
individual regions with detailed models of skin heat, fat insulation etc etc.
♨ Radiators, heat venting, air conditioning, solid heat transfer...
🌞 solar radiation with an easy model.
👨👨👧👦
17 regions on the bodies predict the fiala comfort indices "Percentage
People Dissatisfied"
Why is this relevant?
🔥 In internal combustion engines, you have a fantastillion tons of waste heat you can use to keep your passengers warm.
🔋 Heating, cooling etc. reaaally harms EV range - if done in the classical "i don't care for
efficiency" approach.
@cfdanalysis.ir
hashtag#simcenter hashtag#cfd hashtag#fiala
hashtag#simulation hashtag#cabincomfort
Our new Thermal Cabin Comfort CFD models can predict
passenger - based on scientific and industry-relevant Fiala models and more.
My personal highlights:
💯 hundreds of options in
the templates! Tall woman, small fat man - you name it, we have it!
👥 Manekins consist of 57
individual regions with detailed models of skin heat, fat insulation etc etc.
♨ Radiators, heat venting, air conditioning, solid heat transfer...
🌞 solar radiation with an easy model.
👨👨👧👦
17 regions on the bodies predict the fiala comfort indices "Percentage
People Dissatisfied"
Why is this relevant?
🔥 In internal combustion engines, you have a fantastillion tons of waste heat you can use to keep your passengers warm.
🔋 Heating, cooling etc. reaaally harms EV range - if done in the classical "i don't care for
efficiency" approach.
@cfdanalysis.ir
hashtag#simcenter hashtag#cfd hashtag#fiala
hashtag#simulation hashtag#cabincomfort
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Simcenter STAR-CCM+ 2310 now has the capability to simulate cohesive non-spherical particles. Recently, I tried out this new feature to
simulate a test that determines the material static angle of repose using the hollow cylinder method. In the simulation, I set the cohesion parameter to a very high value, and the resulting animation showed that instead of forming a conical shape pile by flowing out of a moving cylinder, the cohesive particles formed a cylindrical structure that eventually broke into two fragments.
@cfdanalysis.ir
hashtag#Simcenter hashtag#DEM hashtag#particles
simulate a test that determines the material static angle of repose using the hollow cylinder method. In the simulation, I set the cohesion parameter to a very high value, and the resulting animation showed that instead of forming a conical shape pile by flowing out of a moving cylinder, the cohesive particles formed a cylindrical structure that eventually broke into two fragments.
@cfdanalysis.ir
hashtag#Simcenter hashtag#DEM hashtag#particles
Schlieren photography
Schlieren photography is an optical technique used to
visualize variations in the refractive index of air or other transparent
substances. In a schlieren photography system, a light source directs a beam
through a transparent medium. A curved mirror or lens focuses the light onto a
knife-edge, creating a shadow. Variations in the refractive index of the medium
deflect the light rays, producing bright and dark patterns. A camera captures
these patterns on a background, visualizing phenomena such as fluid flow and
heat distribution.
Schlieren photography
is widely used in scientific research and teaching to study phenomena such as
thermal convection, shock waves and air turbulence. In the video below, shock
waves can be observed for a supersonic flow over a cavity using schlieren
photography. This study can be applied, for example, to the supersonic
combustion in cavity-based scramjet.
Since schlieren
photography has provided over the years almost satisfied results, researchers
use data from this technique as a target, aiming to improve CFD software. Both
Schlieren and CFD data can be also used in combination in order to gain a
comprehensive understanding of fluid phenomena.
@cfdanalysis.ir
#SchlierenPhotography #CFD #Combustion #Shockwaves
#Engineering
Schlieren photography is an optical technique used to
visualize variations in the refractive index of air or other transparent
substances. In a schlieren photography system, a light source directs a beam
through a transparent medium. A curved mirror or lens focuses the light onto a
knife-edge, creating a shadow. Variations in the refractive index of the medium
deflect the light rays, producing bright and dark patterns. A camera captures
these patterns on a background, visualizing phenomena such as fluid flow and
heat distribution.
Schlieren photography
is widely used in scientific research and teaching to study phenomena such as
thermal convection, shock waves and air turbulence. In the video below, shock
waves can be observed for a supersonic flow over a cavity using schlieren
photography. This study can be applied, for example, to the supersonic
combustion in cavity-based scramjet.
Since schlieren
photography has provided over the years almost satisfied results, researchers
use data from this technique as a target, aiming to improve CFD software. Both
Schlieren and CFD data can be also used in combination in order to gain a
comprehensive understanding of fluid phenomena.
@cfdanalysis.ir
#SchlierenPhotography #CFD #Combustion #Shockwaves
#Engineering
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✈ Aerospace
simulating 'everything' is becoming increasingly common in industry
HEEDS Design Space simulation handles complex geometry
changes, or directly within Simcenter STAR-CCM+ design manager.
A new release of HEEDS is upon us, with exciting new #ai
capabilities
@cfdanalysis.ir
#simcenter #siemens
simulating 'everything' is becoming increasingly common in industry
HEEDS Design Space simulation handles complex geometry
changes, or directly within Simcenter STAR-CCM+ design manager.
A new release of HEEDS is upon us, with exciting new #ai
capabilities
@cfdanalysis.ir
#simcenter #siemens
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Simcenter STAR-CCM+ 2310 has been released with many
exciting new features, including a new type of Lagrangian phase called the
wall-bound phase. This phase is used to simulate droplets sliding across
surfaces. The new Adhesion Model, available for wall-bound droplets, takes
surface tension effects into account with high accuracy. The Lagrangian
approach for simulating sliding droplets can be very efficient. The animation
shows rain droplets sliding on a windshield, simulated in under 4 minutes.
@cfdanalysis.ir
#Simcenter hashtag#CFD #Lagrangian #droplets
exciting new features, including a new type of Lagrangian phase called the
wall-bound phase. This phase is used to simulate droplets sliding across
surfaces. The new Adhesion Model, available for wall-bound droplets, takes
surface tension effects into account with high accuracy. The Lagrangian
approach for simulating sliding droplets can be very efficient. The animation
shows rain droplets sliding on a windshield, simulated in under 4 minutes.
@cfdanalysis.ir
#Simcenter hashtag#CFD #Lagrangian #droplets
Aircraft wing stall
In fluid dynamics, stall refers to a sudden loss of lift and a reduction in aircraft performance due to the separation of the airflow over the wing surface. It is a critical concept in aviation, as it can lead to dangerous situations if not properly managed.
Air moves faster over the upper surface of the wing,
creating a lower pressure compared to the lower surface. This pressure
difference generates lift, which lifts the aircraft into the air. When the
angle of incidence exceeds its critical angle of attack and becomes too steep,
the airflow detaches from the upper surface. The result is a sudden reduction
in lift which, if left uncorrected, can lead to serious damages. Other
parameters such as low speed, overloading, turbulence or ice formation on the
wing can also contribute to a stall.
Stalls are most likely to occur during take-off, climb,
approach and landing. Managing the aircraft's angle of attack and speed during
these phases is essential to avoid stalls, especially at critical moments close
to the ground. To recover from a stall, you need to reduce the angle of attack
by lowering the aircraft's nose, increasing power if available, and using
ailerons and rudder to regain control.
@cfdanalysis.ir
#stall #aircraft #physics #fluidmechanics #engineering
#cfd#simulation
In fluid dynamics, stall refers to a sudden loss of lift and a reduction in aircraft performance due to the separation of the airflow over the wing surface. It is a critical concept in aviation, as it can lead to dangerous situations if not properly managed.
Air moves faster over the upper surface of the wing,
creating a lower pressure compared to the lower surface. This pressure
difference generates lift, which lifts the aircraft into the air. When the
angle of incidence exceeds its critical angle of attack and becomes too steep,
the airflow detaches from the upper surface. The result is a sudden reduction
in lift which, if left uncorrected, can lead to serious damages. Other
parameters such as low speed, overloading, turbulence or ice formation on the
wing can also contribute to a stall.
Stalls are most likely to occur during take-off, climb,
approach and landing. Managing the aircraft's angle of attack and speed during
these phases is essential to avoid stalls, especially at critical moments close
to the ground. To recover from a stall, you need to reduce the angle of attack
by lowering the aircraft's nose, increasing power if available, and using
ailerons and rudder to regain control.
@cfdanalysis.ir
#stall #aircraft #physics #fluidmechanics #engineering
#cfd#simulation
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Brush those pearly whites! 🦷 🪥
We're having some fun with simulation for Dental Hygiene Month, for example by simulating the abrasive contact between tooth and brush through flexible fiber Discrete Element Method (DEM).
hashtag
#DentalHygiene hashtag
#simulation
We're having some fun with simulation for Dental Hygiene Month, for example by simulating the abrasive contact between tooth and brush through flexible fiber Discrete Element Method (DEM).
hashtag
#DentalHygiene hashtag
#simulation
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⚡Modeling Turbofan Engines to
Understand Aircraft Noise⚡
This simulation shows the complex flow of air particles
through the Source Diagnostic Test turbofan engine. By simulating the fan’s
rotations, researchers can target design innovations and modifications to reduce the impact of fan noise on people living and working in areas with heavy
air traffic.
@cfdanalysis.ir
#engineeredmind #science #technology #engineering
#mechanicalengineering #physics #mathematics #cfd #simulation
Understand Aircraft Noise⚡
This simulation shows the complex flow of air particles
through the Source Diagnostic Test turbofan engine. By simulating the fan’s
rotations, researchers can target design innovations and modifications to reduce the impact of fan noise on people living and working in areas with heavy
air traffic.
@cfdanalysis.ir
#engineeredmind #science #technology #engineering
#mechanicalengineering #physics #mathematics #cfd #simulation
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🔊 A New Dimension in
Audio Performance: Siemens Simcenter STAR-CCM+ Acoustics!
The Lighthill Wave Model analyzes the propagation of sound
using the acoustic analogy method, but neglects the effect of the flow field on
sound propagation. It can be used in applications such as heating, ventilation,
and air conditioning (HVAC) duct noise.
Simcenter STAR CCM+ Acoustics is designed to optimally
analyses and optimize the sound propagation of the flow area. You can take the
lead in aero acoustic simulations and perfect your product sound performance!
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #acoustics
Audio Performance: Siemens Simcenter STAR-CCM+ Acoustics!
The Lighthill Wave Model analyzes the propagation of sound
using the acoustic analogy method, but neglects the effect of the flow field on
sound propagation. It can be used in applications such as heating, ventilation,
and air conditioning (HVAC) duct noise.
Simcenter STAR CCM+ Acoustics is designed to optimally
analyses and optimize the sound propagation of the flow area. You can take the
lead in aero acoustic simulations and perfect your product sound performance!
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #acoustics
CFDAnalysis.ir
Video
🐝 Bio-Inspired Friday🌼🍯
“Aerodynamically, the bumblebee shouldn’t be able to fly, but the bumblebee doesn’t know it, so it goes on flying anyway.” – Mary Kay Ash This scientific paradox is one of the most well-known misconceptions of aerodynamics in the realm of animal life and has even gone on to become a popular phrase of encouragement, urging people to follow their dreams despite what others might say. The misconception was coined by zoologist Antoine Magnan and his assistant André Sainte-Lague, when they attempted to calculate the lift provided by a bumblebee’s wings in 1934. The problem in their methodology was that they assumed that the small insect’s wings functioned as an aeroplane’s wings would, and their calculations resulted in the conclusion that it is impossible for bumblebees to fly, even though they do it all the time. The fact is that bumblebee’s wings do not function like those of aeroplanes. While the human invention is almost always horizontal (deviating from the plane of motion by less than 5°), the wings of a bumblebee are in a constantly changing angle of attack, often times greater than 50°. At high angles of attack, the leading edge of a wing will create a small vortex – or a sideways swirl of air – that provides a burst of lifting force. In a stationary wing, the vortex would at first provide the lift force, but it would then cancel itself out as the turbulent flow of air passed the wing, making it lose its lifting force in what is called a stall. Bumblebees avoid the stalling problem thanks to two factors: the variable angle of attack of their wings, and the frequency of their wing strokes. The angle at which bumblebee’s wings move through the air is often over 50° off from the path they follow, and on the backstroke, the bee’s wings will flip over. This motion not only provides extra lift by generating a new, inverted leading edge vortex, but also provides rotational lift, an effect similar to the one we can appreciate on a spinning football. To top it all off, bumblebees flap their wings at over 200 times a second, and so their wings can take advantage of the new vortex before the first one has the chance to cancel
itself out.
“Aerodynamically, the bumblebee shouldn’t be able to fly, but the bumblebee doesn’t know it, so it goes on flying anyway.” – Mary Kay Ash This scientific paradox is one of the most well-known misconceptions of aerodynamics in the realm of animal life and has even gone on to become a popular phrase of encouragement, urging people to follow their dreams despite what others might say. The misconception was coined by zoologist Antoine Magnan and his assistant André Sainte-Lague, when they attempted to calculate the lift provided by a bumblebee’s wings in 1934. The problem in their methodology was that they assumed that the small insect’s wings functioned as an aeroplane’s wings would, and their calculations resulted in the conclusion that it is impossible for bumblebees to fly, even though they do it all the time. The fact is that bumblebee’s wings do not function like those of aeroplanes. While the human invention is almost always horizontal (deviating from the plane of motion by less than 5°), the wings of a bumblebee are in a constantly changing angle of attack, often times greater than 50°. At high angles of attack, the leading edge of a wing will create a small vortex – or a sideways swirl of air – that provides a burst of lifting force. In a stationary wing, the vortex would at first provide the lift force, but it would then cancel itself out as the turbulent flow of air passed the wing, making it lose its lifting force in what is called a stall. Bumblebees avoid the stalling problem thanks to two factors: the variable angle of attack of their wings, and the frequency of their wing strokes. The angle at which bumblebee’s wings move through the air is often over 50° off from the path they follow, and on the backstroke, the bee’s wings will flip over. This motion not only provides extra lift by generating a new, inverted leading edge vortex, but also provides rotational lift, an effect similar to the one we can appreciate on a spinning football. To top it all off, bumblebees flap their wings at over 200 times a second, and so their wings can take advantage of the new vortex before the first one has the chance to cancel
itself out.
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🛳 Simcenter STAR CCM+
helps us achieve more flexible and customizable solutions by increasing the diversity of engineering projects with the freedom to combine different cell types in a single model in the cut mesh and rotating impeller area where the flow is aligned. Motion modeling is of vital importance in order to create the correct depression and trim in resistance calculations. This helps us achieve more accurate results in the design process, resulting in excellent performance and reliability. With these comprehensive features offered by Star CCM+ software, you can perform our engineering projects faster, more efficiently and
more reliably.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering
helps us achieve more flexible and customizable solutions by increasing the diversity of engineering projects with the freedom to combine different cell types in a single model in the cut mesh and rotating impeller area where the flow is aligned. Motion modeling is of vital importance in order to create the correct depression and trim in resistance calculations. This helps us achieve more accurate results in the design process, resulting in excellent performance and reliability. With these comprehensive features offered by Star CCM+ software, you can perform our engineering projects faster, more efficiently and
more reliably.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering
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CFD Applications: Quadcopter
Spotlight: AMR (Adaptive Mesh Refinement) and FSI (fluid-structure interaction)
@cfdanalysis.ir
#engineering #cfd #fluiddynamic#simulationsoftware #computationfluiddynamics
Spotlight: AMR (Adaptive Mesh Refinement) and FSI (fluid-structure interaction)
@cfdanalysis.ir
#engineering #cfd #fluiddynamic#simulationsoftware #computationfluiddynamics
CFDAnalysis.ir
Video
CFD is a powerful tool that excels in conducting multiphase simulations, particularly those involving free surface phenomena and Volume of Fluids (VOF) modeling. Multiphase simulations are crucial in various industries to analyze the behavior of multiple fluids or phases within a single computational domain.
🔹 Benefits Across
Industries 🔹
CFD capabilities in multiphase simulation and free surface
modeling offer numerous benefits across industries:
1️⃣
Chemical Engineering: Optimize mixing processes and design efficient reactors for chemical processes.
2️⃣
Food and Beverage: Enhance mixing techniques for food processing, ensuring uniformity in mixing ingredients while preserving product quality.
3️⃣
Pharmaceuticals: Improve drug manufacturing processes by precisely modeling mixing operations, ensuring consistent quality and efficacy.
4️⃣
Energy: Analyze multiphase flows in oil and gas pipelines, optimizing
transportation and processing.
5️⃣
Marine and Offshore: Simulate wave interaction, sloshing effects in tanks, and ship hydrodynamics for safer and more efficient maritime designs.
@cfdanalysis.ir
#cfd #multiphase #simulation #freesurface #vof #mixingfluids
#blademixing #industrialapplications
🔹 Benefits Across
Industries 🔹
CFD capabilities in multiphase simulation and free surface
modeling offer numerous benefits across industries:
1️⃣
Chemical Engineering: Optimize mixing processes and design efficient reactors for chemical processes.
2️⃣
Food and Beverage: Enhance mixing techniques for food processing, ensuring uniformity in mixing ingredients while preserving product quality.
3️⃣
Pharmaceuticals: Improve drug manufacturing processes by precisely modeling mixing operations, ensuring consistent quality and efficacy.
4️⃣
Energy: Analyze multiphase flows in oil and gas pipelines, optimizing
transportation and processing.
5️⃣
Marine and Offshore: Simulate wave interaction, sloshing effects in tanks, and ship hydrodynamics for safer and more efficient maritime designs.
@cfdanalysis.ir
#cfd #multiphase #simulation #freesurface #vof #mixingfluids
#blademixing #industrialapplications
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🚀 Iterate at the Speed of
Thought
💡
Imagine a development cycle paced by engineering ingenuity, not CPU clock time.
Where ideas can be tested without constraints of HPC and budget limitations,
where unconventional ideas are an asset rather than a liability, as they can be
assessed quickly and efficiently.
That is the promise of AI-accelerated engineering.
🔍
See the example below. Each result from first-principle CFD computations takes
hours. However, AI predictions for those unseen geometries can be achieved in
just the refresh rate of this video: 70ms.
💭
Imagine the impact on the speed and quality of product development.
@cfdanalysis.ir
#cfd #AI #simulation #industrialapplications
Thought
💡
Imagine a development cycle paced by engineering ingenuity, not CPU clock time.
Where ideas can be tested without constraints of HPC and budget limitations,
where unconventional ideas are an asset rather than a liability, as they can be
assessed quickly and efficiently.
That is the promise of AI-accelerated engineering.
🔍
See the example below. Each result from first-principle CFD computations takes
hours. However, AI predictions for those unseen geometries can be achieved in
just the refresh rate of this video: 70ms.
💭
Imagine the impact on the speed and quality of product development.
@cfdanalysis.ir
#cfd #AI #simulation #industrialapplications