AirShaper

In this video, we walk around the Koenigsegg Absolut to see how they improved the aerodynamics. This car does 0-400-0 in less that 28 seconds. For this, they needed to loose a lot of downforce in favor of a lower drag. They claim a drag coefficient Cd of less than 0.28 - that's really low for a hyper car!

For more information, visit https://www.airshaper.com

Koenigsegg Absolut Aerodynamics Walkaround

Walkaround of the 1.900 HP Pininfarina Battista talking about its aerodynamic features, including the front splitter, cooler setup, mirrors, active rear wing and rear diffuser.

For more information, visit https://www.airshaper.com

$2.2M Pininfarina Battista Aerodynamics Walkaround

More information: https://www.airshaper.com
Check the truck project: https://app.airshaper.com/simulations/vecto-base-design-advice-for-less-drag

In this video, we use AirShaper's Design Advice to learn how we can cut drag on the VECTO reference truck. This technique uses "adjoint shape optimization" and allows users without simulation expertise to improve the aerodynamics of their design.

The Design Advice tells users where to push a surface outward (red) or inward (blue) along the local normal.

If you have any questions, just get in touch at info@airshaper.com

Reducing Aerodynamic Drag on a Truck without expertise

More information: https://www.airshaper.com
Check the MotoGP project: https://app.airshaper.com/simulations/dotto-creations-airshaper-motogp-challenge-aero-update-3-less-drag

In this video, we use AirShaper's Design Advice to learn how we can cut drag on a MotoGP bike. This technique uses "adjoint shape optimization" and allows users without simulation expertise to improve the aerodynamics of their design.

The Design Advice tells users where to push a surface outward (red) or inward (blue) along the local normal.

If you have any questions, just get in touch at info@airshaper.com

Reducing Aerodynamic Drag on a MotoGP bike without expertise

More information: https://www.airshaper.com
Sample projects: https://app.airshaper.com/simulations/ahmed-rear-optimization-lower-drag-with-layers

In this video, we apply aerodynamic shape optimization using the adjoint technique to the Ahmed Body. This famous geometry was used to benchmark CFD codes, correlate to wind tunnel test data and so on for automotive related aerodynamics projects.

The method runs through a number of cycles, each containing:
- a primal run (normal CFD simulation of the aerodynamics)
- a dual run (adjoint simulation to link the drag reduction goal to the flow field)
- a sensitivity map calculation (to calculate how the surface should be morphed to reduce drag)
- a morphing step to implement these suggestions. The morphing is applied to the volume & surface mesh directly

For more information, just get in touch at info@airshaper.com!

Ahmed body aerodynamic shape optimization - Reducing drag using adjoint shape optimization

More information: https://www.airshaper.com
Check the sports car project: https://app.airshaper.com/simulations/sports-car-design-advice-for-less-drag

In this video, we use AirShaper's Design Advice to learn how we can cut drag on a sports car. This technique uses "adjoint shape optimization" and allows users without simulation expertise to improve the aerodynamics of their design.

The Design Advice tells users where to push a surface outward (red) or inward (blue) along the local normal.

If you have any questions, just get in touch at info@airshaper.com

Reducing Aerodynamic Drag on a sports car without expertise

https://www.airshaper.com
https://www.a2mac1.com

We received an extremely precise 3D scan of the Tesla Cybertruck from A2MAC1: every single detail, inside and out, is in there. Air deflectors, windscreen wipers, underfloor & suspension covers, ... even the wiring is inside! So a massive thank you to them.

So this is a fantastic opportunity to study the Cybertruck aerodynamics in detail and see how realistic the claimed drag coefficient of 0.335 really is. Yes, that's still far larger than a sedan, and the CdA (taking the frontal area into account) is even larger! But given its edgy design, it's still an impressive feat.

In this video, we dive into the details of the air deflectors, the flow separation areas, the vortices around the A-pillar, the aerodynamic drag of the mirrors etc.

We can't share this model or the simulation. But go ahead and check out one of our previous simulations on a public model (and see just how different the flow structure and aero coefficients are):
https://app.airshaper.com/simulations/tesla-cybertruck-production-intent-public-3d-model

And feel free to drop a comment and start a discussion!

Tesla Cybertruck Aerodynamics - Exclusive 3D scan reveals flow secrets through CFD simulation

Sample project: https://app.airshaper.com/simulations/cessna-public-3d-model-with-3-bladed-prop
More information: https://www.airshaper.com or info@airshaper.com

In this video is a step by step explanation of how to use CFD simulations to analyze the aerodynamics of an airplane. We used a public 3D model of a Cessna with some modifications (a custom propeller).

---Setup---
The AirShaper platform was used to set up the simulation. The airplane is positioned at zero angle of attack and a rotational speed has been added to the propellers.

---Results---
- Pressure clouds (iso-surface for the total pressure coefficient of 0):
These illustrate where energy losses are high. This highlights the drag caused by the landing gear, the support beams, gaps and hinges around the door, ... and of course the propeller itself.
- Pressure map: this one illustrates the pressure perpendicular to the surface. It clearly shows the suction & pressure side of the blades, the stagnation pressure on the wind screen, the performance of the main wing, ...
- Friction map: this one shows the magnitude of the friction force of the air flowing parallel to the surface. When low, this can indicate either stagnation of the flow (at the front wind screen, ...) or separation of the flow (behind the antennas, ...). The surface streamlines indicate how the air moves across the surface.
- 3D streamlines: these show how the air flows around the airframe, the support beams, through the propeller area, etc.
- Noise: this is an estimation of the sources of wind noise. As this is a steady stage RANS simulation, it is just an approximation based on the turbulent kinetic energy.
- Elements: the flow lines through the propellers are visualized. Also, the torque, power and thrust on the propellers can be analyzed by integrating the pressure & friction forces across their surface.
- Forces: the forces on each individual element are calculated.

Aerodynamics Made Easy - Airplane CFD Analysis Explained | Step-by-Step Guide

Sample project: https://app.airshaper.com/simulations/archer-midnight-public-3d-model-hover
More information: https://www.airshaper.com or info@airshaper.com

In this video is a step by step explanation of how to use CFD simulations to analyze the aerodynamics of a drone. We used a public 3D model of the Archer Midnight - very inaccurate but great to show the process of a CFD simulation.

---Setup---
The AirShaper platform was used to set up the simulation. The eVTOL was leveled (no angle of attack) and a rotational speed has been added to the propellers.

---Results---
- Pressure clouds (iso-surface for the total pressure coefficient of 0):
These illustrate where energy losses are high. This highlights the shape and swirl generated by the propellers, for example.
- Pressure map: this one illustrates the pressure perpendicular to the surface. The scale has been tuned to see the pressure effect on the tips of the propellers.
- Friction map: this one shows the magnitude of the friction force of the air flowing parallel to the surface. When low, this can indicate either stagnation of the flow separation of the flow. The surface streamlines indicate how the air moves across the surface.
- 3D streamlines: these show how the air flows around the airframe, the support beams, through the propeller area, etc.
- Noise: this is an estimation of the sources of wind noise. As this is a steady stage RANS simulation, it is just an approximation based on the turbulent kinetic energy.
- Elements: the flow lines through the propellers are visualized. Also, the torque, power and thrust on the propellers can be analyzed by integrating the pressure & friction forces across their surface.
- Forces: the forces on each individual element are calculated.

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