Functional optimization of fluidic devices with differentiable stokes flow
Functional optimization of fluidic devices with differentiable stokes flow
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DOI：
10.1145/3414685.3417795
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Tao Du;Kui Wu;A. Spielberg;W. Matusik;Bo Zhu;Eftychios Sifakis
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作者：
Tao Du;Kui Wu;A. Spielberg;W. Matusik;Bo Zhu;Eftychios Sifakis
我们提出了一种性能驱动的流体设备的优化方法。在我们的方法中，工程师提供了一个高层次的规范的设备使用参数化表面的流体-固体边界。它们还规定了装置入口和出口的所需流动特性。我们的计算方法优化了流体装置的边界，使得其稳态流量与出口处的期望流量相匹配。为了应对这一任务的计算挑战，我们提出了一个有效的，可微斯托克斯流求解器。我们的求解器提供了明确的访问梯度的性能指标的参数边界表示。这一关键特性使我们能够将求解器与基于梯度的高效优化方法相结合。我们证明了这种方法的有效性五个复杂的三维流体系统的设计。我们的方法朝着高性能流体设备的实用计算设计工具迈出了重要一步。
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.