Functional optimization of fluidic devices with differentiable stokes flow
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 27, 2020
- Source ID
- 10.1145/3414685.3417795
Entities
People
- Andrew Spielberg
- Bo Zhu
- Eftychios Sifakis
- Kui Wu
- Tao Du
- Wojciech Matusik
Organizations
- Dartmouth College
- Intelligence Advanced Research Projects Activity
- Massachusetts Institute of Technology
- National Science Foundation
- University of Wisconsin–Madison