Bohm Sebastian, Phi Hai Binh, Moriyama Ayaka, Runge Erich, Strehle Steffen, König Jörg, Cierpka Christian, Dittrich Lars
Theoretical Physics I, Technische Universität Ilmenau, Weimarer Straße 25, 98693 Ilmenau, Germany.
Research and Development, 5microns GmbH, Margarethenstraße 6, 98693 Ilmenau, Germany.
Microsyst Nanoeng. 2022 Sep 7;8:97. doi: 10.1038/s41378-022-00437-4. eCollection 2022.
A multistage optimization method is developed yielding Tesla valves that are efficient even at low flow rates, characteristic, e.g., for almost all microfluidic systems, where passive valves have intrinsic advantages over active ones. We report on optimized structures that show a diodicity of up to 1.8 already at flow rates of 20 μl s corresponding to a Reynolds number of 36. Centerpiece of the design is a topological optimization based on the finite element method. It is set-up to yield easy-to-fabricate valve structures with a small footprint that can be directly used in microfluidic systems. Our numerical two-dimensional optimization takes into account the finite height of the channel approximately by means of a so-called shallow-channel approximation. Based on the three-dimensionally extruded optimized designs, various test structures were fabricated using standard, widely available microsystem manufacturing techniques. The manufacturing process is described in detail since it can be used for the production of similar cost-effective microfluidic systems. For the experimentally fabricated chips, the efficiency of the different valve designs, i.e., the diodicity defined as the ratio of the measured pressure drops in backward and forward flow directions, respectively, is measured and compared to theoretical predictions obtained from full 3D calculations of the Tesla valves. Good agreement is found. In addition to the direct measurement of the diodicities, the flow profiles in the fabricated test structures are determined using a two-dimensional microscopic particle image velocimetry (μPIV) method. Again, a reasonable good agreement of the measured flow profiles with simulated predictions is observed.
开发了一种多级优化方法,可生产出即使在低流速下也高效的特斯拉阀,这种特性适用于几乎所有微流体系统,在这些系统中,被动阀相对于主动阀具有固有优势。我们报告了优化后的结构,在流速为20 μl/s(对应雷诺数为36)时,其二极管性高达1.8。设计的核心是基于有限元方法的拓扑优化。其目的是产生易于制造、占地面积小且可直接用于微流体系统的阀结构。我们的二维数值优化通过所谓的浅通道近似法大致考虑了通道的有限高度。基于三维挤压的优化设计,使用标准的、广泛可用的微系统制造技术制造了各种测试结构。详细描述了制造过程,因为它可用于生产类似的具有成本效益的微流体系统。对于实验制造的芯片,测量了不同阀设计的效率,即定义为反向和正向流动方向上测量的压降之比的二极管性,并与从特斯拉阀的全三维计算获得的理论预测进行了比较。结果发现吻合良好。除了直接测量二极管性外,还使用二维微观粒子图像测速(μPIV)方法确定了制造的测试结构中的流动剖面。同样,观察到测量的流动剖面与模拟预测有合理的良好吻合。