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

机译:德州角蜥蜴作为坚固的毛细管结构的模型,用于被动定向传输冷却润滑剂

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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:诸如得克萨斯州有角的蜥蜴Phrynosoma cornutum之类的捕水蜥蜴对于在干旱地区居住具有显着的适应性。特殊的皮肤结构,尤其是在重叠的鳞片之间的毛细血管通道,使蜥蜴能够通过毛细作用收集水,并将其运输到口鼻部进行摄取。这种流体传输是被动的,并且指向蜥蜴的鼻子。方向性基于几何原理,即基于相互连接的半开式毛细管通道变窄和变宽的周期性模式。在仿生方法之后,这些原理被转移到技术原型设计和制造中。毛细管结构,宽度为50μm至300μm,大约为通过在淬硬至52 HRC的热加工工具钢中使用脉冲皮秒激光,可以实现70μm的深度。为了获得最高的功能性,已开发出策略以使潜在的结构误差最小化,该结构误差可能发生在由激光加工引起的毛细管结构的底部。这样的误差在10μm至15μm的范围内,并形成具有比主通道更大的毛细作用力的次毛细结构。因此,针对激光工艺开发了一种加速度补偿算法,以最小化甚至避免这些误差。毛细管设计也被认为具有重大影响。通过非平行毛细管的六边形毛细管网络,减少了子毛细管对功能的潜在影响,从而实现了可靠的被动定向毛细管运输。这种智能表面结构可以通过减少能耗和提高资源效率来改善技术系统。

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