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The Texas horned lizard as model for robust capillary structures for passive directional transport of cooling lubricants

机译:德克萨斯角蜥蜴作为冷却润滑剂被动定向传输的稳健毛细管结构模型

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Moisture-harvesting lizards, such as the Texas horned lizard Phrynosoma cornutum, have remarkable adaptations for inhabiting arid regions. Special skin structures, in particular capillary channels in between imbricate overlapping scales, enable the lizard to collect water by capillarity and to transport it to the snout for ingestion. This fluid transport is passive and directional towards the lizard's snout. The directionality is based on geometric principles, namely on a periodic pattern of interconnected half-open capillary channels that narrow and widen. Following a biomimetic approach, these principles were transferred to technical prototype design and manufacturing. Capillary structures, 50 μm to 300 μm wide and approx. 70 μm deep, were realized by use of a pulsed picosecond laser in hot working tool steel, hardened to 52 HRC. In order to achieve highest functionality, strategies were developed to minimize potential structural inaccuracies, which can occur at the bottom of the capillary structures caused by the laser process. Such inaccuracies are in the range of 10 μm to 15 μm and form sub-capillary structures with greater capillary forces than the main channels. Hence, an Acceleration Compensation Algorithm was developed for the laser process to minimize or even avoid these inaccuracies. The capillary design was also identified to have substantial influence; by a hexagonal capillary network of non-parallel capillaries potential influences of sub-capillaries on the functionality were reduced to realize a robust passive directional capillary transport. Such smart surface structures can lead to improvements of technical systems by decreasing energy consumption and increasing the resource efficiency.
机译:水分收获蜥蜴,如德克萨斯州角蜥庚膜玉米蛋白,对居住地区具有显着的适应性。特殊的皮肤结构,特别是毛细管通道之间的覆丝重叠鳞片,使蜥蜴能够通过毛细管收集水并将其运送到鼻子以进行摄取。这种流体传输是朝向蜥蜴的鼻子被动和方向。方向性基于几何原理,即在窄宽和扩大的互联半开毛细管通道的周期性图案上。遵循仿生方法,这些原则被转移到技术原型设计和制造中。毛细管结构,50μm至300μm宽,约。通过在热加工工具钢中使用脉冲皮秒激光来实现70μm深,硬化为52小时。为了实现最高功能,开发了策略以最大限度地减少潜在的结构性不准确性,这可能发生在由激光过程引起的毛细管结构的底部。这种不准确性在10μm至15μm的范围内,并且形成具有比主通道更大的毛细管力的亚毛细管结构。因此,为激光过程开发了加速补偿算法,以最小化或甚至避免这些不准确性。毛细管设计也被识别出具有实质性影响;通过六边形毛细管网络的非平行毛细血管网络潜在影响亚毛细管对功能的影响,以实现鲁棒的被动定向毛细管运输。这种智能表面结构可以通过降低能量消耗并提高资源效率来导致技术系统的改进。

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