Side‐to‐side supermicrosurgical anastomosis training using chicken wing model with V‐shaped traction method

Microsurgery ◽  
2021 ◽  
Author(s):  
Dewi Aisiyah Mukarramah ◽  
Reiko Tsukuura ◽  
Takashi Kageyama ◽  
Hayahito Sakai ◽  
Yuma Fuse ◽  
...  
Keyword(s):  
2011 ◽  
Vol 1 (7) ◽  
pp. 89-91
Author(s):  
Mitul Patel ◽  
◽  
Sharvil Shah ◽  
Dharmendra Dubey
Keyword(s):  

2007 ◽  
Vol 1 (2) ◽  
pp. 87-99
Author(s):  
P. Freymuth
Keyword(s):  

2020 ◽  
Author(s):  
A. A. Yatskikh ◽  
A. V. Panina ◽  
Yu. G. Yermolaev ◽  
A. D. Kosinov ◽  
N. V. Semionov

Author(s):  
Aniket Dave ◽  
Maneesh Singhal ◽  
Raja Tiwari ◽  
Shashank Chauhan ◽  
Moumita De
Keyword(s):  

Author(s):  
Nasim Chitsaz ◽  
Kamran Siddiqui ◽  
Romeo Marian ◽  
Javaan S. Chahl

Abstract In this study, computational fluid dynamics analysis was performed on a three-dimensional model of a Libellulidae wing to determine aerodynamic performance in gliding flight. The wing is comprised of various corrugated features alongside the spanwise and chordwise directions, as well as twist. The detailed features of real 3D dragonfly wing models, including all the corrugations through both span and chord, have not been considered in the past for a detailed aerodynamic analysis. The simulations were conducted by solving the Navier-Stokes equations to demonstrate gliding performance over a range of angles of attack at low Reynolds numbers. The numerical model was validated against experimental data obtained from a fabricated corrugated wing model using particle image velocimetry. The numerical results demonstrate that bio-inspired wings with corrugations compared to flat profile wings generate more lift with lower drag, trapping the vortices in the valleys of wing corrugation leading to delayed flow separation and delayed stall. The experimental and numerical results demonstrate that the methodology presented in this study can be used to measure bio-inspired 3D wing flow characteristics, including the influence of complex corrugations on aerodynamic performance. These findings contribute to the advancement of knowledge required for designing an optimized bioinspired micro air vehicle.


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