Functional Optimization of Fluidic Devices with Differentiable Stokes Flow

Tao Du, Kui Wu, Andrew Spielberg, Wojciech Matusik, Bo Zhu, Eftychios Sifakis

Abstract

We present a method for performance-driven optimization of fluidic devices. In our approach, engineers provide a high-level specification of a device using parametric surfaces for the fluid-solid boundaries. They also specify desired flow properties for inlets and outlets of the device. Our computational approach optimizes the boundary of the fluidic device such that its steady-state flow matches desired flow at outlets. In order to deal with computational challenges of this task, we propose an efficient, differentiable Stokes flow solver. Our solver provides explicit access to gradients of performance metrics with respect to the parametric boundary representation. This key feature allows us to couple the solver with efficient gradient-based optimization methods. We demonstrate the efficacy of this approach on designs of five complex 3D fluidic systems. Our approach makes an important step towards practical computational design tools for high-performance fluidic devices.

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Citation

@article{du2020_stokes,
    author = {Du, Tao and Wu, Kui and Spielberg, Andrew and Matusik, Wojciech and Zhu, Bo and Sifakis, Eftychios},
    title = {Functional Optimization of Fluidic Devices with Differentiable Stokes Flow},
    year = {2020},
    issue_date = {December 2020},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    volume = {39},
    number = {6},
    issn = {0730-0301},
    url = {https://doi.org/10.1145/3414685.3417795},
    doi = {10.1145/3414685.3417795},
    journal = {ACM Trans. Graph.},
    month = {nov},
    articleno = {197},
    numpages = {15},
    keywords = {fluid simulation, computational design optimization, physically-based simulation}
}