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用于自驱动油水分离的仿生纺织品——流体传输的模拟分析

Bio-Inspired Textiles for Self-Driven Oil-Water Separation-A Simulative Analysis of Fluid Transport.

作者信息

Beek Leonie, Skirde Jan-Eric, Akdere Musa, Gries Thomas

机构信息

Institut für Textiltechnik of RWTH Aachen University, Otto-Blumenthal-Straße 1, 52074 Aachen, Germany.

出版信息

Biomimetics (Basel). 2024 Apr 25;9(5):261. doi: 10.3390/biomimetics9050261.

Abstract

In addition to water repellency, superhydrophobic leaves of plants such as adsorb oil and separate it from water surfaces. This phenomenon has been the inspiration for a new method of oil-water separation, the bionic oil adsorber (BOA). In this paper, we show how the biological effect can be abstracted and transferred to technical textiles, in this case knitted spacer textiles hydrophobized with a layered silicate, oriented at the biology push approach. Subsequently, the transport of the oil within the bio-inspired textile is analyzed by a three-dimensional fluid simulation. This fluid simulation shows that the textile can be optimized by reducing the pile yarn length, increasing the pile yarn spacing, and increasing the pile yarn diameter. For the first time, it has been possible with this simulation to optimize the bio-inspired textile with regard to oil transport with little effort and thus enable the successful implementation of a self-driven and sustainable oil removal method.

摘要

除了疏水性外,诸如某些植物的超疏水叶片还能吸附油并将其与水面分离。这种现象为一种新的油水分离方法——仿生油吸附器(BOA)提供了灵感。在本文中,我们展示了如何将这种生物效应抽象出来并转移到技术纺织品上,在这种情况下是用层状硅酸盐疏水化的针织间隔织物,采用生物学推动方法。随后,通过三维流体模拟分析了油在这种仿生纺织品中的传输情况。该流体模拟表明,可以通过缩短绒头纱长度、增加绒头纱间距和增加绒头纱直径来优化纺织品。通过这种模拟,首次能够轻松地针对油传输对仿生纺织品进行优化,从而成功实现一种自驱动且可持续的除油方法。

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