差速器(机械装置)
物理
计算机科学
生物系统
曲面(拓扑)
材料科学
数学
噪音(视频)
人工智能
计算机视觉
作者
Xiongheng Bian,Ma Feng,Xiaoyan Shen
出处
期刊:ACS omega
[American Chemical Society]
日期:2026-06-02
卷期号:11 (23): 33849-33858
标识
DOI:10.1021/acsomega.6c00464
摘要
Conventional micromanipulation techniques, such as optical capture and mechanical grippers, suffer from rigid contact damage and exhibit poor adaptability to objects with diverse masses. This research presents adaptive droplet tweezers featuring nonparallel structures to tackle the nondestructive micromanipulation of objects with different masses. Through the analysis of the mechanical equilibrium conditions of the liquid bridge (where the pressures on the upper and lower surfaces of the bridge are equivalent), the critical parameters for a stable liquid bridge, including the contact angle, opening distance, and height, were discussed. The results of this study suggest that pulling of the tweezers and increasing the lower opening distance of the end of droplet tweezers are conducive to object transfer. Subsequent experiments conducted on the experimental platform verified the principles. Ultimately, by adjusting the curvature of the droplet bridge structure according to the hydrophilic-hydrophobic differences, the handling of objects with different weights was accomplished. This research demonstrates that the adaptive liquid bridge structure effectively surmounts the limitations of traditional methods, offering a novel approach for the flexible and adaptive micromanipulation of microscale objects.
科研通智能强力驱动
Strongly Powered by AbleSci AI