Modeling & Simulation based System of Systems Engineering

Authors

Lin Zhang, 1.Beihang University, Beijing, 100191, China;2.Engineering Research Center of Complex Product Advanced Manufacturing System, Ministry of Education, Beijing, 100191, China;Follow
Kunyu Wang, 1.Beihang University, Beijing, 100191, China;2.Engineering Research Center of Complex Product Advanced Manufacturing System, Ministry of Education, Beijing, 100191, China;
Yuanjun Laili, 1.Beihang University, Beijing, 100191, China;2.Engineering Research Center of Complex Product Advanced Manufacturing System, Ministry of Education, Beijing, 100191, China;
Lei Ren, 1.Beihang University, Beijing, 100191, China;2.Engineering Research Center of Complex Product Advanced Manufacturing System, Ministry of Education, Beijing, 100191, China;

Abstract

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.

Recommended Citation

Zhang, Lin; Wang, Kunyu; Laili, Yuanjun; and Ren, Lei (2022) "Modeling & Simulation based System of Systems Engineering," Journal of System Simulation: Vol. 34: Iss. 2, Article 1.
DOI: 10.16182/j.issn1004731x.joss.21-0579
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/1

First Page

179

Revised Date

2021-07-02

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0579

Last Page

190

CLC

TP 391.9

Recommended Citation

Lin Zhang, Kunyu Wang, Yuanjun Laili, Lei Ren. Modeling & Simulation based System of Systems Engineering[J]. Journal of System Simulation, 2022, 34(2): 179-190.

DOI

10.16182/j.issn1004731x.joss.21-0579