Transient effects during transitions of bio-inspired flapping foils between two different schooling configurations

拍打 推力 推进 瞬态(计算机编程) 机械 涡流 物理 过渡(遗传学) 模式(计算机接口) 唤醒 航空航天工程 统计物理学 计算机科学 工程类 化学 操作系统 基因 生物化学
作者
Jiakun Han,Gang Chen
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science [SAGE]
卷期号:237 (11): 2433-2449 被引量:2
标识
DOI:10.1177/09544062211047356
摘要

Recently, there has been considerable interest in developing novel energy-saving vehicles that use flapping foils propulsion systems inspired by biology. Facing increasingly complex application tasks, the coordination of multiple vehicles will be a hot issue in the future this research field. We are inspired by changes in configurations of biological collective behavior (known as schooling) in nature, focused on studying transient effects during transitions of three-dimensional bio-inspired flapping foils between two different bionic schooling configurations. Numerical simulations employing the immersed boundary-lattice Boltzmann method (IB-LBM) for unsteady hydrodynamics of flapping foils in schooling transitions were performed. Effects of different mutual transition modes between tandem and diamond schooling configurations on their thrust performance were investigated. Meanwhile, we present hydrodynamics of flapping foils in a schooling with different downstream flapping frequencies under the best transition mode. The results show that during transitions between two schooling configurations, there is an optimal energy-saving transition mode. It has nothing to do with the length of transition distance. Different downstream flapping frequencies will affect the interacting vortices between fluid and structure and then affect transient effects during schooling transition. Although the transition modes were specified, our research takes the transients effects of schooling transitions as an influencing factor to be considered for formations changes, which will provide a new idea for the design bio-inspired vehicle cluster formation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
巅峰囚冰完成签到,获得积分10
刚刚
外向的笑白完成签到,获得积分10
刚刚
Silence完成签到,获得积分10
刚刚
ddl发布了新的文献求助20
1秒前
S.D.L发布了新的文献求助30
1秒前
傻傻乐发布了新的文献求助10
1秒前
汤圆发布了新的文献求助10
1秒前
cl完成签到,获得积分10
2秒前
2秒前
2秒前
yy发布了新的文献求助10
3秒前
Lucas应助gl6542采纳,获得10
3秒前
4秒前
王喂喂哦啊嗯完成签到,获得积分20
4秒前
5秒前
情怀应助Hang采纳,获得10
6秒前
Maestro_S应助柯续缘采纳,获得10
6秒前
7秒前
7秒前
charlins完成签到,获得积分10
7秒前
郭嘉彬完成签到,获得积分10
7秒前
chen发布了新的文献求助10
7秒前
7秒前
CC完成签到,获得积分10
8秒前
陈陈陈发布了新的文献求助10
9秒前
9秒前
小東完成签到,获得积分10
9秒前
9秒前
liu发布了新的文献求助10
9秒前
ora4ks完成签到 ,获得积分10
10秒前
ddl完成签到,获得积分10
10秒前
10秒前
Szj应助..采纳,获得10
11秒前
奥拉夫完成签到,获得积分10
11秒前
11秒前
Carrots发布了新的文献求助10
12秒前
郭嘉彬发布了新的文献求助10
12秒前
江泽应助谢雨嘉采纳,获得20
12秒前
shinysparrow应助海野海月采纳,获得10
12秒前
洛溪汐完成签到,获得积分20
12秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Yaws' Handbook of Antoine coefficients for vapor pressure 500
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2552004
求助须知:如何正确求助?哪些是违规求助? 2177910
关于积分的说明 5611731
捐赠科研通 1898726
什么是DOI,文献DOI怎么找? 948037
版权声明 565542
科研通“疑难数据库(出版商)”最低求助积分说明 504302