Bibliographic Details
| Title: |
Optimization and simulation of a bionic fish tail driving system based on linear hypocycloid with hydrodynamics |
| Authors: |
Shu-yan Wang, Jun Zhu, Xin-guo Wang, Qin-feng Li, Hui-yun Zhu, Rui Zhou |
| Source: |
Advances in Mechanical Engineering, Vol 9 (2017) |
| Publisher Information: |
SAGE Publishing, 2017. |
| Publication Year: |
2017 |
| Collection: |
LCC:Mechanical engineering and machinery |
| Subject Terms: |
Mechanical engineering and machinery, TJ1-1570 |
| More Details: |
The tail driving system based on linear hypocycloid has the advantages of adjustable phase difference, no quick-return, and combining speed reducer with transformation mechanism. The plane complex movement of the driving system was realized via a motion triangle with a linear hypocycloid planetary gear train and a linkage. In this article, we approach the question of which kind of parameter design can make this driving system more efficient in swimming from a hydrodynamic perspective. First, dynamic and hydrodynamic models were established with momentum theorem, Lagrange theorem, and two-dimensional foil theory. And then, hydrodynamic optimization on kinematic parameters (i.e. caudal peduncle’s reciprocation velocity and caudal fin swing angle) and structural parameters (i.e. swing amplitude, V planetary carrier’s angle, and sun gear’s radius) for a better propulsive efficiency was developed in detail. Second, influences of structural parameters on vortex ring were further conducted by numerical simulation in FLUENT. Finally, the prototype and experimental platform of the designed driving system were established, and the theoretical derivation of lift and lateral forces was testified by experiment. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1687-8140
16878140 |
| Relation: |
https://doaj.org/toc/1687-8140 |
| DOI: |
10.1177/1687814017694139 |
| Access URL: |
https://doaj.org/article/0e85c01361b241e79d834b1a3b1109c1 |
| Accession Number: |
edsdoj.0e85c01361b241e79d834b1a3b1109c1 |
| Database: |
Directory of Open Access Journals |
