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Interactive design of 2D car profiles with aerodynamic feedback
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Interactive design of 2D car profiles with aerodynamic feedback

Computer Graphics Forum, Volume 42, Number 2 - 2023
Download the publication : FluidPredictionFinalAuthors.pdf [13.6Mo]   FluidPrediction_Supplemental.pdf [749Ko]  
The design of car shapes requires a delicate balance between aesthetic and performance. While fluid simulation provides the means to evaluate the aerodynamic performance of a given shape, its computational cost hinders its usage during the early explorative phases of design, when aesthetic is decided upon. We present an interactive system to assist designers in creating aerodynamic car profiles. Our system relies on a neural surrogate model to predict fluid flow around car shapes, providing fluid visualization and shape optimization feedback to designers as soon as they sketch a car profile. Compared to prior work that focused on time-averaged fluid flows, we describe how to train our model on instantaneous, synchronized observations extracted from multiple pre-computed simulations, such that we can visualize and optimize for dynamic flow features, such as vortices. Furthermore, we architectured our model to support gradient-based shape optimization within a learned latent space of car profiles. In addition to regularizing the optimization process, this latent space and an associated encoder-decoder allows us to input and output car profiles in a bitmap form, without any explicit parameterization of the car boundary. Finally, we designed our model to support pointwise queries of fluid properties around car shapes, allowing us to adapt computational cost to application needs. As an illustration, we only query our model along streamlines for flow visualization, we query it in the vicinity of the car for drag optimization, and we query it behind the car for vortex attenuation

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See also




Acknowledgements

We are grateful to the OPAL infrastructure from Universite Cote d Azur for providing resources and support. We also thank Jingwei Tang for implementing the fluid solver. This work was supported by the European Research Council (ERC) starting grant D3 (ERC-2016-STG 714221) and research and software donations from Adobe Inc.

Database

We provide the database containing 2013 2D cars with their Signed Distance Functions and extracted velocity and pressure field : download npz database

Code

We also provide the code describing both our synchronization algorithm and a jupyter notebook to test our Shape Optimization pipeline : Gitlab link

BibTex references

@Article{RCDB23,
  author       = "Rosset, Nicolas and Cordonnier, Guillaume and Duvigneau, Regis and Bousseau, Adrien",
  title        = "Interactive design of 2D car profiles with aerodynamic feedback",
  journal      = "Computer Graphics Forum",
  number       = "2",
  volume       = "42",
  year         = "2023",
  url          = "http://www-sop.inria.fr/reves/Basilic/2023/RCDB23"
}

Other publications in the database

» Nicolas Rosset
» Guillaume Cordonnier
» Regis Duvigneau
» Adrien Bousseau