Fluidic Topology Optimization with an Anisotropic Mixture Model

Sun, 18 Sep 2022 00:00:00 +0000

Demos

For details refer to the paper Sec 7. Applications. Below we show three design problems: Twister, Tree Diffuser and Circuit. We visualize the final design and the design domain for each of the problem.

Twister

Domain Size: 100x100x100

Tree Diffuser

Domain Size: 80x80x80

Circuit

Domain Size: 80x80x80

Demo Video

Presentation

Acknowledgement

Yifei Li acknowledges the emotional support from 🐱🐈‍ Yihui Li . Wojciech Matusik acknowledges the funding support from NSF IIS-2106962 and the Defense Advanced Research Projects Agency (DARPA) under grant No. FA8750-20-C-0075. Bo Zhu acknowledges the funding supports from NSF IIS-2106733. Eftychios Sifakis acknowledges the funding supports from NSF IIS-2106768, IIS-2008584, IIS-1763638.

Citation

@article{li2022anisotropicStokes,
author = {Li, Yifei and Du, Tao and Grama Srinivasan, Sangeetha and Wu, Kui and Zhu, Bo and Sifakis, Eftychios and Matusik, Wojciech},
title = {Fluidic Topology Optimization with an Anisotropic Mixture Model},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {0730-0301},
url = {https://doi.org/10.1145/3550454.3555429},
doi = {10.1145/3550454.3555429},
abstract = {Fluidic devices are crucial components in many industrial applications involving fluid mechanics. Computational design of a high-performance fluidic system faces multifaceted challenges regarding its geometric representation and physical accuracy. We present a novel topology optimization method to design fluidic devices in a Stokes flow context. Our approach is featured by its capability in accommodating a broad spectrum of boundary conditions at the solid-fluid interface. Our key contribution is an anisotropic and differentiable constitutive model that unifies the representation of different phases and boundary conditions in a Stokes model, enabling a topology optimization method that can synthesize novel structures with accurate boundary conditions from a background grid discretization. We demonstrate the efficacy of our approach by conducting several fluidic system design tasks with over two million design parameters.},
journal = {ACM Trans. Graph.},
month = {nov},
articleno = {239},
numpages = {14},
keywords = {Topology optimization, Stokes flow, computational design, fluidic system design}
}

Keywords

fluidic devices, topology optimization, flow device optimization, differentiable simulation, physics simulation, computational fabrication, fluid topology optimization, Stokes flow optimization

flow device optimization | Yifei Li