Fluidic Topology Optimization with an Anisotropic Mixture Model
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 four million design parameters.
Cite
@article{arxiv.2209.10736,
title = {Fluidic Topology Optimization with an Anisotropic Mixture Model},
author = {Yifei Li and Tao Du and Sangeetha Grama Srinivasan and Kui Wu and Bo Zhu and Eftychios Sifakis and Wojciech Matusik},
journal= {arXiv preprint arXiv:2209.10736},
year = {2022}
}
Comments
Accepted by SIGGRAPH Asia 2022. For low resolution paper see https://people.csail.mit.edu/liyifei/publication/anisotropic-stokes-fluidic-device/