AirShaper

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

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

Reducing Aerodynamic Drag on a sports car without expertise

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