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Title: Fluidic Topology Optimization with an Anisotropic Mixture Model
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.  more » « less
Award ID(s):
2106768 2008584 1763638
NSF-PAR ID:
10424348
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
ACM Transactions on Graphics
Volume:
41
Issue:
6
ISSN:
0730-0301
Page Range / eLocation ID:
1 to 14
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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