Fluidic Topology Optimization with an Anisotropic Mixture Model
Fluidic Topology Optimization with an Anisotropic Mixture Model
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DOI：
10.1145/3550454.3555429
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
Yifei Li;Tao Du;Sangeetha Grama Srinivasan;Kui Wu;Bo Zhu;Eftychios Sifakis;W. Matusik
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文献类型：
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作者：
Yifei Li;Tao Du;Sangeetha Grama Srinivasan;Kui Wu;Bo Zhu;Eftychios Sifakis;W. Matusik
流体装置是涉及流体力学的许多工业应用中的关键组件。高性能流体系统的计算设计在几何表示和物理精度方面面临着多方面的挑战。我们提出了一种新颖的拓扑优化方法来设计斯托克斯流环境中的流体设备。我们的方法的特点是能够适应固液界面的广泛边界条件。我们的主要贡献是一个各向异性和可微分的本构模型，它统一了斯托克斯模型中不同相和边界条件的表示，从而实现了一种拓扑优化方法，可以从背景网格离散化中合成具有精确边界条件的新颖结构。我们通过执行多个具有超过四百万个设计参数的流体系统设计任务来证明我们方法的有效性。
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.