近年来出现一些新型仿生表面，如可持续定向输运水及自动分离油水混合物液滴的仿（猪笼草）口缘表面、强烈排斥很多液体的“润滑剂浸渍的滑移多孔表面”（SLIPS）等。本项目拟发展可模拟有复杂几何表面上两组分及三组分不相混流体的格子Boltzmann方法（LBM），以研究液滴在新兴仿生表面上的润湿和铺展，具体包括：（1）改进和发展模拟多组分流体润湿复杂表面的边界条件和LBM模型，通过如网格自适应等手段提高LBM模拟效率；（2）研究不同条件下液滴在仿口缘表面的润湿和铺展，找出对液滴单向输运起关键作用的形貌特征和参数；（3）研究油水混合物液滴在仿口缘表面的自动分离，发现利于其发生的条件；（4）研究不同参数下液滴在SLIPS上的形态和运动，找出防止润滑剂流失的工作条件和表面微结构等。本项目成果预计可为设计改进有防污、防冰、易清洁及定向输运液体、自动分离油水混合物等功能的表面提供有益的参考。

Recently, some novel biomimetic surfaces have emerged, including the one inspired by the peristome surface (of Nepenthes pitcher plants) that are capable of sustaining directional water transport and spontaneously separating water-in-oil drops, and the “Slippery Lubricant-Infused Porous Surface” (SLIPS) that strongly repels various liquids. In this project we plan to develop the lattice Boltzmann method (LBM) for simulations of binary and ternary immiscible fluids on surfaces with complex geometries to study the wetting and spreading of drops on emerging biomimetic surfaces. The main tasks include: (1) to develop refined wetting boundary conditions and LBM models for multicomponent fluids on complex surfaces, and to improve the simulation efficiency of LBM by means like adaptive mesh refinement; (2) to investigate the wetting and spreading of drops on the peristome-mimetic surface under different conditions, and to find the key shape feature and parameters that support the unidirectional drop transport; (3) to study the spontaneous separation of water-in-oil drops on the peristome-mimetic surface and identify the conditions that are beneficial for the separation; (4) to study the morphology and motion of drops on SLIPS under various parameters, and find out the working conditions and forms of surface microstructures that prevent lubricant drainage. This project is expected to provide useful references for the design and improvement of anti-fouling, anti-icing and easy-to-clean surfaces, and special functional surfaces for unidirectional liquid transport and separating water-oil mixtures without energy input.