Additive manufacturing and generative design of microtextured surfaces for modified wettability using SiO2 nanocomposite resin
摘要
Controlling surface wettability is crucial for applications in microfluidics and self-cleaning systems. This study explores how microtextured geometries fabricated through liquid crystal display (LCD) additive manufacturing (AM), combined with SiO2 nanocomposite resin, modifies the wetting response. A generative design algorithm (GDA) was implemented using a fitness function derived from the Cassie–Baxter equation to maximize the theoretical contact angle of micropillar patterns. Four micropillar geometries were fabricated using urethane acrylate resin and SiO2 nanocomposite formulations at 0.05 and 0.15 wt%. The algorithm predicted Cassie–Baxter contact angles up to 162.62 deg for the optimized designs. However, the fabricated samples exhibited a maximum static contact angle of 87.2 deg for the hexagonal micropillar geometry with 0.05-wt% SiO2. This difference between predicted and measured values indicates that resolution of LCD AM limits the accuracy with which microtextures can be reproduced, preventing the formation of stable air pockets required for the Cassie–Baxter regime and constraining the fabricated surfaces to partially hydrophilic behavior.
Graphical abstract