Study on the sedimentation and interaction of two squirmers in a vertical channel

Author:

Ying Yuxiang1ORCID,Jiang Tongxiao1,Nie Deming1ORCID,Lin Jianzhong2ORCID

Affiliation:

1. Institute of Fluid Mechanics, China Jiliang University, Hangzhou 310018, China

2. Key Laboratory of Impact and Safety Engineering, Ministry of Education, Ningbo University, Ningbo 315201, China

Abstract

We simulated the sedimentation of two self-propelled particles in a two-dimensional (2D) vertical channel using the lattice Boltzmann method. A 2D squirmer model was employed to simulate the microswimmers, and five typical locomotive modes were obtained for a single squirmer, namely, central steady sedimentation, near-wall steady motion, wall-attracted oscillation, large-amplitude oscillation, and small-amplitude oscillation. The locomotive modes of two squirmers are obtained by combinations of different locomotive modes of a single squirmer. It was found that the motion of two squirmers was much more complex than that of a single squirmer, and this complex locomotive mode could be explained by the pressure distribution of the two squirmers. Moreover, we performed a comprehensive analysis of the obtained locomotive modes and determined that the angle at which the two squirmers separated from each other and swimming speed were crucial, which may be the reason for the different locomotive modes of the squirmers that switch from each other.

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3