中国舰船研究2025，Vol.20Issue(3)：26-36,11.DOI:10.19693/j.issn.1673-3185.03627
润湿性表面气泡融合特性数值模拟分析
Numerical analysis of bubble coalescence characteristics on wetting surface
摘要
Abstract
[Objective]This study aims to advance the development of composite drag reduction technology involving super-hydrophobic surfaces and bubbles by investigating the coalescence characteristics of bubbles on wetting surfaces and revealing the effects of surface wettability,bubble spacing,and bubble size on bubble coalescence.[Methods]A numerical model of bubble coalescence on an underwater wetting surface is es-tablished based on the volume of fluid(VOF)method.The coalescence and spreading characteristics of bubbles on different wetting surfaces are analyzed by varying the surface contact angle,bubble spacing,and bubble size.The accuracy of the simulation results is validated by comparing them with experimental data.[Results]The results show that increasing the contact angle of the wetting surface and decreasing bubble spacing facilitate bubble coalescence,while increasing bubble size slows down the spreading speed of bubbles on the surface and is not conducive to accelerating bubble coalescence.Specifically,when the contact angle increases from 130° to 170°,the initial coalescence time of bubbles decreases from 5.6 ms to 3.2 ms(a reduction of 42.9%),and the maximum spreading distance of bubbles increases from 6.53 mm to 9.4 mm(an increase of 138%).[Conclusions]The findings provide a theoretical basis for the coupling design of super-hydrophobic surfaces and bubble drag reduction technology.Optimizing surface wettability and bubble spa-cing can significantly enhance bubble coalescence,thereby improving the stability and efficiency of bubble drag reduction.关键词
船舶/减阻/气泡减阻/气泡融合/表面润湿性/超疏水表面/VOF方法Key words
ships/drag reduction/bubble drag reduction/bubbles coalescence/surface wettability/super-hydrophobic surface/volume of fluid分类
交通运输引用本文复制引用
杨留名,柳仕成,裴志勇,孔祥韶..润湿性表面气泡融合特性数值模拟分析[J].中国舰船研究,2025,20(3):26-36,11.基金项目
国家自然科学基金资助项目(52201374) （52201374）
海南省自然科学基金资助项目(522QN343) （522QN343）
