Functional optimization of fluidic devices with differentiable stokes flow
Name
3414685.3417795.pdf
Description
Published version
Size
19.42 MB
Format
Adobe PDF
Checksum (MD5)
d144b898e364af0ad7104d7d3dba1d9d
Author(s)
Du, Tao
Wu, Kui
Spielberg, Andrew
Matusik, Wojciech
Zhu, Bo
Sifakis, Eftychios
Date Issued
2020
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Version
Final published version
Abstract
© 2020 Owner/Author. 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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3414685.3417795
