Li Haofei, Cai Zhuojun, Wang Yilin
CAS Key Laboratory of Colloid, Interface and Chemical Thermodynamics, Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.
University of Chinese Academy of Sciences, Beijing 100049, P. R. China.
Langmuir. 2020 Nov 24;36(46):14113-14122. doi: 10.1021/acs.langmuir.0c02783. Epub 2020 Nov 9.
Improving water droplet deposition on superhydrophobic surfaces is essential in many agricultural and industrial spraying processes. Adding surfactants is generally considered a simple way to enhance the wetting ability of droplets on surfaces. However, finding effective surfactants for the deposition and spread of high-speed impacting droplets on superhydrophobic surfaces remains a challenge. Here, we propose a model to predict the deposition results of impacting droplets on superhydrophobic surfaces by studying the droplets containing a series of asymmetric double-chain quaternary ammonium ionic surfactants with different chain lengths. By introducing the molecular diffusion rate, the ability of molecules to reduce surface tension, as well as the stability of aggregates into the model, the impact outcomes of surfactant droplets on the superhydrophobic surface are described and predicted. This study provides a beneficial blueprint for the selection of surfactants and the control of droplet impact behavior on superhydrophobic surfaces.
在许多农业和工业喷雾过程中,提高水滴在超疏水表面上的沉积至关重要。添加表面活性剂通常被认为是增强液滴在表面上润湿能力的一种简单方法。然而,找到能使高速冲击液滴在超疏水表面上沉积和铺展的有效表面活性剂仍然是一个挑战。在此,我们通过研究含有一系列不同链长的不对称双链季铵离子表面活性剂的液滴,提出了一个模型来预测冲击液滴在超疏水表面上的沉积结果。通过将分子扩散速率、分子降低表面张力的能力以及聚集体的稳定性引入模型,描述并预测了表面活性剂液滴在超疏水表面上的冲击结果。本研究为表面活性剂的选择以及超疏水表面上液滴冲击行为的控制提供了有益的蓝图。