机器鱼近壁面波动推进的体表压强特性研究

doi:10.16182/j.issn1004731x.joss.20-0929

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (4): 870-877.doi: 10.16182/j.issn1004731x.joss.20-0929

• 物理效应/模拟器仿真技术 • 上一篇下一篇

机器鱼近壁面波动推进的体表压强特性研究

谢鸥^1,²(), 宋爱国¹, 朱其新²

^1.东南大学仪器科学与工程学院，江苏南京 210096
^2.苏州科技大学机械工程学院，江苏苏州 215009

收稿日期:2020-11-27 修回日期:2021-02-22 出版日期:2022-04-30 发布日期:2022-04-20
作者简介:谢鸥(1983-)，男，博士，副教授，硕士生导师，研究方向为仿生水下机器人、机器人智能感知技术。 E-mail：hnxieou@126.com
基金资助:
国家自然科学基金(51875380);苏州市科技计划(SNG2017054)

Study on Near-body Pressure Characteristics of Bionic Robotic Fish Undulating in Near Wall Region

Ou Xie^1,²(), Aiguo Song¹, Qixin Zhu²

^1.School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
^2.School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China

Received:2020-11-27 Revised:2021-02-22 Online:2022-04-30 Published:2022-04-20

摘要/Abstract

摘要：

为适应水下黑暗非结构作业环境，研究了仿生机器鱼近壁面波动推进的体表压强分布特性。理论分析了人工侧线法估计壁面效应和流场参数的可行性，建立了仿生机器鱼近壁面柔性波动推进的体表压强计算流体动力学耦合求解模型，提出了一种体表压强数据提取与处理方法，分析了靠壁距离、来流速度以及斯特劳哈尔数对仿生机器鱼体表压强分布的影响关系。结果表明：仿生机器鱼体表压强分布能够表征壁面效应和流场速度的变化，为水下非结构环境下的流场识别与参数预测提供了依据。

关键词: 仿生机器鱼, 人工侧线, 计算流体动力学, 壁面效应, 体表压强分布

Abstract:

To accommodate the dark and unstructured underwater working environment, the near-body pressure distribution characteristics of a bionic robot fish undulating in near wall region is studied. The feasibility of using artificial lateral line(ALL) to estimate the wall effect and flow field parameters is analyzed theoretically. A CFD(computational fluid dynamics) coupled solution model for near-body pressure simulation of a bionic robotic fish swimming near the wall is established and a near-body pressure data extraction and processing method is proposed. The effect of the wall clearance, inlet flow velocity and strouhal number (St) on the fish near-body pressure distribution is analyzed. The results show that the wall effect and inlet flow velocity can be characterized by near-body pressure distribution, which provides a reference for the flow field identification and parameter prediction in the unstructured underwater environment.

Key words: bionic robot fish, artificial lateral line(ALL), computational fluid dynamics(CFD), wall effect, near-body pressure distribution

中图分类号:

TP242

谢鸥, 宋爱国, 朱其新. 机器鱼近壁面波动推进的体表压强特性研究[J]. 系统仿真学报, 2022, 34(4): 870-877.

Ou Xie, Aiguo Song, Qixin Zhu. Study on Near-body Pressure Characteristics of Bionic Robotic Fish Undulating in Near Wall Region[J]. Journal of System Simulation, 2022, 34(4): 870-877.

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参数	数值
靠壁距离d	0.2L、 0.3L、 0.4L、 0.6L、 0.8L、 ∞
来流速度/(m/s)	0、 0.2、 0.5、 0.8、 1.0
St	0.1、 0.2、 0.25、 0.32、 0.4、 0.5

机器鱼近壁面波动推进的体表压强特性研究

Study on Near-body Pressure Characteristics of Bionic Robotic Fish Undulating in Near Wall Region

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