β β‘RANS vs URANS vs DES Turbulence Modeling on NACA 0012β‘
π RANS stands for Reynolds-Averaged Navier-Stokes
It is a method that averages the flow variables over time to obtain a mean flow field and then models the effect of turbulence using additional equations for the turbulent fluctuations. RANS models are computationally efficient and widely used for industrial applications, but they have limitations in capturing complex flow features and unsteady phenomena.
π URANS stands for Unsteady Reynolds-Averaged Navier-Stokes
It is a method that solves the RANS equations in a time-dependent manner, allowing for some unsteady effects to be captured. URANS models are more expensive than RANS models, but they can provide more accurate results for flows with large-scale periodic fluctuations, such as vortex shedding or oscillating jets.
π DES stands for Detached-Eddy Simulation
It is a hybrid method that combines RANS and LES (see below) in different regions of the flow domain. DES uses RANS near solid boundaries where the grid resolution is coarse, and switches to LES in regions where the flow is detached and the grid is fine enough to resolve the large eddies. DES models are less costly than LES models, but they can suffer from numerical issues at the interface between RANS and LES zones.
@cfdanalysis.ir
#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd
π RANS stands for Reynolds-Averaged Navier-Stokes
It is a method that averages the flow variables over time to obtain a mean flow field and then models the effect of turbulence using additional equations for the turbulent fluctuations. RANS models are computationally efficient and widely used for industrial applications, but they have limitations in capturing complex flow features and unsteady phenomena.
π URANS stands for Unsteady Reynolds-Averaged Navier-Stokes
It is a method that solves the RANS equations in a time-dependent manner, allowing for some unsteady effects to be captured. URANS models are more expensive than RANS models, but they can provide more accurate results for flows with large-scale periodic fluctuations, such as vortex shedding or oscillating jets.
π DES stands for Detached-Eddy Simulation
It is a hybrid method that combines RANS and LES (see below) in different regions of the flow domain. DES uses RANS near solid boundaries where the grid resolution is coarse, and switches to LES in regions where the flow is detached and the grid is fine enough to resolve the large eddies. DES models are less costly than LES models, but they can suffer from numerical issues at the interface between RANS and LES zones.
@cfdanalysis.ir
#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd
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Industrial machinery optimization? We've got you covered. π Thanks to simulation, noise can be simulated before a prototype is built. That means noise requirements can be met and machinery optimized.
@cfdanalysis.ir
#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd
@cfdanalysis.ir
#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd
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Simulation of Airflow in electric aircraft engine
compartments
Electric aircraft are reshaping aviation, and understanding airflow dynamics is
crucial. Simulating airflow within the engine compartment and around the
aircraft exterior is a key to improve efficiency and safety.
Computational Fluid Dynamics (CFD) allows to understand complex airflow,
helping engineers prevent overheating by designing efficient cooling systems.
This ensures optimal performance and thermal management. Battery systems,
absence of combustion engines, and thermal sensitivity require innovative
solutions for heat distribution and cooling.
Beyond the engine aerothermal performances, CFD predicts drag, lift, and
maneuverability. Simulating airflow around components refines design to enhance
efficiency, especially without traditional engine exhausts.
@cfdanalysis.ir
#sciences #physics #fluidmechanics #engineering #cfd #simulation #aircraft
compartments
Electric aircraft are reshaping aviation, and understanding airflow dynamics is
crucial. Simulating airflow within the engine compartment and around the
aircraft exterior is a key to improve efficiency and safety.
Computational Fluid Dynamics (CFD) allows to understand complex airflow,
helping engineers prevent overheating by designing efficient cooling systems.
This ensures optimal performance and thermal management. Battery systems,
absence of combustion engines, and thermal sensitivity require innovative
solutions for heat distribution and cooling.
Beyond the engine aerothermal performances, CFD predicts drag, lift, and
maneuverability. Simulating airflow around components refines design to enhance
efficiency, especially without traditional engine exhausts.
@cfdanalysis.ir
#sciences #physics #fluidmechanics #engineering #cfd #simulation #aircraft
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#Siemens Simcenter STAR-CCM+ in Turbomachinery
DES #CFD transient cooling analysis at a turbine blade trailing edge.
Simcenter STAR-CCM+ 2210 enables the #GPU acceleration of the Segregated Energy solver with the Ideal Gas equation of state. This will significantly speed up your thermal analysis simulations, like #DES transient cooling analysis at a #turbine blade trailing edge. With those
enhancements, we continue to enable you model the complexity of todayβs
products while going faster. Thereby ensuring consistent results between GPU
and CPU-based calculations.
@cfdanalysis.ir
#sciences #physics #fluidmechanics #engineering #cfd
#simulation
DES #CFD transient cooling analysis at a turbine blade trailing edge.
Simcenter STAR-CCM+ 2210 enables the #GPU acceleration of the Segregated Energy solver with the Ideal Gas equation of state. This will significantly speed up your thermal analysis simulations, like #DES transient cooling analysis at a #turbine blade trailing edge. With those
enhancements, we continue to enable you model the complexity of todayβs
products while going faster. Thereby ensuring consistent results between GPU
and CPU-based calculations.
@cfdanalysis.ir
#sciences #physics #fluidmechanics #engineering #cfd
#simulation
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The #Siemens ecosystem of experts never fails to amaze me! Here is the visualization of the flow around the SimRod car, computed either
from Simcenter STAR-CCM+ or from a surrogate machine learning model. Particles are following the flow field and the numerical solver is implemented on the GPU for real-time visualization and interaction. The whole 3D scene is assembled in Omniverse.
@cfdanalysis.ir
#machinelearning #ai #metaverse
from Simcenter STAR-CCM+ or from a surrogate machine learning model. Particles are following the flow field and the numerical solver is implemented on the GPU for real-time visualization and interaction. The whole 3D scene is assembled in Omniverse.
@cfdanalysis.ir
#machinelearning #ai #metaverse
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Driverβs Cabin Thermal Comfort π‘
Thermal comfort is not only for passengers, but also for the driver. CFD analysis must be carried on in order to ensure effective cooling/heating in the worst summer/winter scenarios. The main goal is to have a uniform temperature field and try to minimize temperature gradients within the cabin. It is never comfortable to have freezing feet and a burning head ! Below is a video of an unsteady cooling simulation of a cabin from a low-floor light rail. The solar load model was used to take into account the radiation across the windshield and side windows. The driver is not physically represented but its heat rejection is applied on the seat surface.
@cfdanalysis.ir
#cfd #starccm+ #railway #thermalcomfort
Thermal comfort is not only for passengers, but also for the driver. CFD analysis must be carried on in order to ensure effective cooling/heating in the worst summer/winter scenarios. The main goal is to have a uniform temperature field and try to minimize temperature gradients within the cabin. It is never comfortable to have freezing feet and a burning head ! Below is a video of an unsteady cooling simulation of a cabin from a low-floor light rail. The solar load model was used to take into account the radiation across the windshield and side windows. The driver is not physically represented but its heat rejection is applied on the seat surface.
@cfdanalysis.ir
#cfd #starccm+ #railway #thermalcomfort
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Airfoil
Aerodynamics - NACA 0012, AOA25DEG, DES k-omega, Re70000, 400kCells, Vorticity.
@cfdanalysis.ir
#cfd #starccm+ #foil #airfoil
Aerodynamics - NACA 0012, AOA25DEG, DES k-omega, Re70000, 400kCells, Vorticity.
@cfdanalysis.ir
#cfd #starccm+ #foil #airfoil
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#Siemens Simcenter STAR-CCM+ β΅
π
Super Yacht Aerodynamics
Personally, as a data-oriented person, I think it's cool to see the a union of CFD data in the form of both local raw contours as well as in a summarized fashion, in the same visualization. If we focus too much on local behaviors, then we can divert our attention from important macro/global trends - and vice versa!
More than many other type of ships, yachts need to be unique. In fact, design and comfort are often the main differentiating factors. Therefore, unique
solutions and numerous modifications are absolutely essential ingredients for
designing and building yachts.
@cfdanalysis.ir
#cae #cfd #simulation #marine
π
Super Yacht Aerodynamics
Personally, as a data-oriented person, I think it's cool to see the a union of CFD data in the form of both local raw contours as well as in a summarized fashion, in the same visualization. If we focus too much on local behaviors, then we can divert our attention from important macro/global trends - and vice versa!
More than many other type of ships, yachts need to be unique. In fact, design and comfort are often the main differentiating factors. Therefore, unique
solutions and numerous modifications are absolutely essential ingredients for
designing and building yachts.
@cfdanalysis.ir
#cae #cfd #simulation #marine
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Cavitation is a common phenomenon in fluid physics yet it can cause potential damage to flow structures such as pump impeller, valve
body, etc. The simulation is a study around a 4-inch valve under a normal operating condition. By monitoring pressure and other parameters, it is made easier to answer when, where and how the cavitation is formed.
@cfdanalysis.ir
#CFD #cavitation #valve #simulation #fluiddynamics
body, etc. The simulation is a study around a 4-inch valve under a normal operating condition. By monitoring pressure and other parameters, it is made easier to answer when, where and how the cavitation is formed.
@cfdanalysis.ir
#CFD #cavitation #valve #simulation #fluiddynamics
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Boat CFD π€
Have you ever seen a boat CFD - and what the mesh actually does during the simulation?
π€ You start with a 6DOF (6 degrees of freedom) approach, meaning that your model can freely move in
space.
πΈ then you create TWO meshes. One is for the sea - maybe average speed of the boat, maybe wind, maybe waves?
πΈ The second mesh is fixed to the moving boat.
π³ In most straight line cases, your boat is "only" moving up and down and rocking in the waves.
π Of course you need a eulerian multiphase approach. And you can refine it! Fluid film captures the
effects wetting the hull and maybe the superstructure of the boat. Lagrangian models are fit for drops that fly around.
@cfdanalysis.ir
#simcenter #starccm #simulation #cfd #marineengineering
Have you ever seen a boat CFD - and what the mesh actually does during the simulation?
π€ You start with a 6DOF (6 degrees of freedom) approach, meaning that your model can freely move in
space.
πΈ then you create TWO meshes. One is for the sea - maybe average speed of the boat, maybe wind, maybe waves?
πΈ The second mesh is fixed to the moving boat.
π³ In most straight line cases, your boat is "only" moving up and down and rocking in the waves.
π Of course you need a eulerian multiphase approach. And you can refine it! Fluid film captures the
effects wetting the hull and maybe the superstructure of the boat. Lagrangian models are fit for drops that fly around.
@cfdanalysis.ir
#simcenter #starccm #simulation #cfd #marineengineering
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Ventilation, Filtration, and Air Monitoring are vital to
reduce respiratory viral transmission and infection.
What is your workplace doing to keep you safe?
π₯ How much is sickness
costing your business?
π«π¨ NOW is the
time to protect your workforce from respiratory infections ahead of the autumn
and winter.
β Clean and monitor the air that
you, your customers, and your employees breathe.
β Include airborne pathogens on
your strategic and operational risk maps.
@cfdanalysis.ir
#business #risk #riskmanagement #leadership
#healthandsafety #health
#healthandwellbeing #nhs #publichealth #publicpolicy #economy2023 #covid19
#longcovid #hrcommunity #hrexecutive #csuite
#shareholdervalue #profit #boardofdirectors #nonexecutivedirectors #iaq
#esg #tech #scienceandtechnology #cleanairsolutions #cleanairmatters #strategicthinking
reduce respiratory viral transmission and infection.
What is your workplace doing to keep you safe?
π₯ How much is sickness
costing your business?
π«π¨ NOW is the
time to protect your workforce from respiratory infections ahead of the autumn
and winter.
β Clean and monitor the air that
you, your customers, and your employees breathe.
β Include airborne pathogens on
your strategic and operational risk maps.
@cfdanalysis.ir
#business #risk #riskmanagement #leadership
#healthandsafety #health
#healthandwellbeing #nhs #publichealth #publicpolicy #economy2023 #covid19
#longcovid #hrcommunity #hrexecutive #csuite
#shareholdervalue #profit #boardofdirectors #nonexecutivedirectors #iaq
#esg #tech #scienceandtechnology #cleanairsolutions #cleanairmatters #strategicthinking
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Simcenter STAR-CCM+ provides a comprehensive environment for
modeling fluid-structure interaction problems.
This animation shows a motorized and propeller-driven boat moving in head waves.
The simulation of the deformation of the propeller rotating at constant speed on a moving boat can be calculated with Simcenter STAR CCM+.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #optimization
#FluidStructureInteractΔ±on
modeling fluid-structure interaction problems.
This animation shows a motorized and propeller-driven boat moving in head waves.
The simulation of the deformation of the propeller rotating at constant speed on a moving boat can be calculated with Simcenter STAR CCM+.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #optimization
#FluidStructureInteractΔ±on
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CFD = Computational *Fun* Dynamics?
Sometimes a fun simulation reveals some really cool
features.
Autonomous meshing allows CFD engineers to easily and
accurately predict the interaction between fluid flow and deforming boundaries
as demonstrated in this simulation of an inflating balloon. The cut planes show
you the mesh, where cells are dynamically placed exactly where you need them to
capture complex flow structures, and easily in the new volumes created by the
expansion. With each breath, the balloon inflates.
@cfdanalysis.ir
#cfd #STAR_cfd #letsparty#mesh_morphing
Sometimes a fun simulation reveals some really cool
features.
Autonomous meshing allows CFD engineers to easily and
accurately predict the interaction between fluid flow and deforming boundaries
as demonstrated in this simulation of an inflating balloon. The cut planes show
you the mesh, where cells are dynamically placed exactly where you need them to
capture complex flow structures, and easily in the new volumes created by the
expansion. With each breath, the balloon inflates.
@cfdanalysis.ir
#cfd #STAR_cfd #letsparty#mesh_morphing
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Within Simcenter Star-CCM+ software, the term self-propulsion refers to the simulation of movement within a flow medium in which objects or entities can move on their own based on their design or specified behavior.
Spontaneous motion simulations using STAR-CCM+ can be used
to study the performance of vessels, submarines or autonomous underwater vehicles moving on water.
β You can test multiple hull/propeller combinations to find the best efficiency.
β You can perform full-scale tests early in the design cycle to ensure critical performance parameters are
met.
β You can evaluate performance
in a variety of real-world conditions to determine power requirements in any marine situation.
β With quick turnaround, it
allows the simulation to guide the design: By using the virtual disk model to represent the propeller, you can calculate the self-drive points in hours
instead of days.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #marine
Spontaneous motion simulations using STAR-CCM+ can be used
to study the performance of vessels, submarines or autonomous underwater vehicles moving on water.
β You can test multiple hull/propeller combinations to find the best efficiency.
β You can perform full-scale tests early in the design cycle to ensure critical performance parameters are
met.
β You can evaluate performance
in a variety of real-world conditions to determine power requirements in any marine situation.
β With quick turnaround, it
allows the simulation to guide the design: By using the virtual disk model to represent the propeller, you can calculate the self-drive points in hours
instead of days.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #marine
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Rigid Body Motion (RBM) describes the position, velocity and rotational motion of an object. This motion describes how the object moves in a
space. Rigid Body Motion analysis is widely used in engineering applications to understand the motion and behavior of mechanical systems. Simcenter STAR-CCM+ enables a variety of applications using Rigid Body Motion (RBM) modeling. Realistic simulations of moving objects are
indispensable for design improvements and performance analyses. When propeller behavior is to be studied, structural effects, ventilation and cavitation effects, and propeller geometry can be modeled and optimized, which helps to create more efficient designs.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #optimization
#simulation
space. Rigid Body Motion analysis is widely used in engineering applications to understand the motion and behavior of mechanical systems. Simcenter STAR-CCM+ enables a variety of applications using Rigid Body Motion (RBM) modeling. Realistic simulations of moving objects are
indispensable for design improvements and performance analyses. When propeller behavior is to be studied, structural effects, ventilation and cavitation effects, and propeller geometry can be modeled and optimized, which helps to create more efficient designs.
@cfdanalysis.ir
#simcenter #starccm+ #cfd #engineering #optimization
#simulation
β Multiphase CFD for clear vision π€
Many multiphase applications require accurate, yet efficient treatment of droplets sliding across surfaces.
π§ Typical use cases include tracing rain droplets sliding on the surfaces of moving vehicles, including windshields, mirrors, and car sensor surfaces.
πWhile 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.
π©βπ» 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.
π 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. π₯³ 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.
π§ Typical use cases include tracing rain droplets sliding on the surfaces of moving vehicles, including windshields, mirrors, and car sensor surfaces.
πWhile 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.
π©βπ» 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.
π 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. π₯³ 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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π 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? π₯Ά 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:
π― hundreds of options in
the templates! Tall woman, small fat man - you name it, we have it!
π₯ Manekins consist of 57
individual regions with detailed models of skin heat, fat insulation etc etc.
β¨ Radiators, heat venting, air conditioning, solid heat transfer...
π solar radiation with an easy model.
π¨βπ¨βπ§βπ¦
17 regions on the bodies predict the fiala comfort indices "Percentage
People Dissatisfied"
Why is this relevant?
π₯ In internal combustion engines, you have a fantastillion tons of waste heat you can use to keep your passengers warm.
π 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:
π― hundreds of options in
the templates! Tall woman, small fat man - you name it, we have it!
π₯ Manekins consist of 57
individual regions with detailed models of skin heat, fat insulation etc etc.
β¨ Radiators, heat venting, air conditioning, solid heat transfer...
π solar radiation with an easy model.
π¨βπ¨βπ§βπ¦
17 regions on the bodies predict the fiala comfort indices "Percentage
People Dissatisfied"
Why is this relevant?
π₯ In internal combustion engines, you have a fantastillion tons of waste heat you can use to keep your passengers warm.
π 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