摘要
液滴碰撞固体表面后铺展的现象广泛存在于航空航天领域和工农业生产中。在工程中,被撞击表面多不与液滴速度方向垂直,而前人对于液滴碰撞铺展的研究多基于垂直碰撞,其研究成果无法直接解决工程斜碰撞问题。通过实验研究液滴碰撞倾斜固体表面铺展形成液膜的演化过程,获得了不同表面倾斜角度和不同韦伯数条件下液膜形状的瞬态数据;基于新建立的液滴碰撞倾斜表面铺展理论,分析了液膜形状的瞬态变化过程,发现该理论可以合理预测小倾角下液滴的铺展,而对于大倾角下液膜在倾斜方向最大铺展宽度的预测,由于推导过程中将液膜上沿长度近似为常数,导致误差较大。为解决该问题,通过加入液膜上沿长度的细致理论分析,建立了一个预测液膜最大形状的解析模型,预测结果相对实验结果的误差可从前人61.8%的误差降至3.2%。
Droplet spreading on a surface is ubiquitous in a variety of applications including aerospace,industry,and agriculture.Majority of these impacts are oblique,while previous studies focused on orthogonal impacts.Oblique impacts cannot be understood directly by previous theories and/or models.Evolution of film formation following a droplet impacting an oblique surface is investigated experimentally.Evolution of the film shape is obtained under various inclination angles and Weber numbers.Based on a new theory of droplet spreading on oblique surfaces,evolution of the film shape is analyzed.It is found that the film shape at small inclination angles can be predicted reasonably,but the error between the predicted maximum lamella width along the inclination direction and the experimental data is relatively big at large inclination angles since the length of the upstream lamella is assumed as a constant in the theory.Modifications of the theory including more detailed analysis of the length of the upstream lamella lead to an analytical model which permits the theoretical determination of the maximum lamella shape.It is shown that the error between the predicted results and the experimental results can be reduced from 61.8%by the previous theory to 3.2%.
作者
鲁杰
李亚磊
徐龙
郝继光
LU Jie;LI Yalei;Xu Long;HAO Jiguang(School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China;Systems Engineering Research Institute,China State Shipbuilding Corporation Limited,Beijing 100094,China)
出处
《实验流体力学》
CSCD
北大核心
2023年第6期42-50,共9页
Journal of Experiments in Fluid Mechanics
基金
国家自然科学基金项目(12072032)
国家重点研发计划项目(2018YFF0300804)。
关键词
液滴碰撞
倾斜表面
铺展
预测模型
液膜
droplet impact
oblique surface
spreading
prediction model
liquid film