Air spread through a wetted deformable membrane: Implications for the mechanism of soft valves in plants

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
Jooyoung Park ◽  
Jeongeun Ryu ◽  
Sung Ho Park ◽  
Sang Joon Lee
Keyword(s):  
2011 ◽  
Author(s):  
Cristian Bonato ◽  
Stefano Bonora ◽  
Andrea Chiuri ◽  
Paolo Mataloni ◽  
Giorgio Milani ◽  
...  

Author(s):  
Dirk Strohmeier ◽  
Jan Draheim ◽  
Matthieu Domaszewski ◽  
Andreas Greiner ◽  
Ulrike Wallrabe ◽  
...  

2006 ◽  
Vol 14 (1) ◽  
pp. 222 ◽  
Author(s):  
Amanda J. Wright ◽  
Brett A. Patterson ◽  
Simon P. Poland ◽  
John M. Girkin ◽  
Graham M. Gibson ◽  
...  

2014 ◽  
Vol 553 ◽  
pp. 255-260
Author(s):  
Viktor Šajn ◽  
Igor Petrović ◽  
Franc Kosel

In the paper, numerical and experimental study of low Reynolds number airflow around the deformable membrane airfoil (DMA) is presented. Simulations of a fluid-structure interaction between the fluid and the DMA were performed. In the experiment, the DMA model was made from a thin PVC sheet, which was wrapped around the steel rod at the leading and trailing edge. Measurements were performed in a wind tunnel at a chord Reynolds number of 85.7·103, over the angle of attack range from 0° to 15° and DMA shortening ratio from 0.025 to 0.150. Simulations were in an agreement with the experiment, since the average relative difference of coefficient of lift was smaller than 7.3%. For the same value of Reynolds number, DMA shows improved lift coefficient Cy= 2.18, compared to standard rigid airfoils.


2014 ◽  
Vol 666 ◽  
pp. 293-297
Author(s):  
Stephen Kotiang ◽  
Jae Ho Choi

Chaotic genetic algorithm (CGA) is presented as an optimization algorithm for sensorless adaptive optics system to compensate atmospheric wave aberration. Chaos search strategy is incorporated into standard genetic algorithm by the logistic function that possess convergent, bifurcating, and chaotic characteristics during evolution to control the convergence of genetic algorithm. A real number encoding method is adopted in the search process and CGA is used to control a 61-actuator deformable membrane mirror (DM).The algorithm uses light intensity detected on the focal plane as the objective function to optimize, and the simulation results show CGAperforms faster than GA and thus can effectively be used in AO systems.


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