Newsletter  2019.2  Index
          
            
              | Theme : "Mechanical Engineering Congress, 2018 Japan (MECJ-18)" 
                                      PrefaceMasaaki  MOTOZAWA, Sadao KUROSAWA
  Biomimetic consideration of  means to catch fluid forcesYoshihiro KUBOTA, Osamu MOCHIZUKI (Toyo University)
Technical Section on Plasma  Actuators - Activities in the Past 5 Years and Future Prospects -Takehiko SEGAWA (National  Institute of Advanced Industrial Science and Technology), Koji FUKAGATA (Keio  University), Takashi MATSUNO (Tottori University), Taku NONOMURA (Tohoku  University), Naofumi OHNISHI (Tohoku University)
 Study of Flow Control by  Trial and Error Learning ApproachHitoshi ISHIKAWA (Tokyo University of Science)
 Thrust Vector Control of  Transonic and Supersonic Under-Expanded JetsToshihiko SHAKOUCHI (Mie University)
Active Boundary Layer Control  by Jets in a CrossflowHiroaki HASEGAWA (Utsunomiya  University)
 Micro-tomographic  Visualization of Capillary Blood Flow Velocity using Multi-Functional Optical Coherence  TomographySouichi SAEKI, Daisuke FURUKAWA (Osaka City University), Takafumi  ITO, Yoshiaki NISHINO (Takaoka Toko Co., Ltd.)
Application  of multi-functional OCT to diagnose skin mechanics ~Visualization of skin  vasculature~  Yusuke HARA (Shiseido Global Innovation  Center), Souichi SAEKI (Osaka City University)
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          Study of Flow Control by Trial and Error Learning Approach
          
            
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 Hitoshi ISHIKAWATokyo University of Science
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          Abstract
          Flow  control is one of an important subject in fluid mechanics. A lot of flow  control methods have been proposed by many researchers, such as blowing,  suction, shape adaption and so on. Researchers have to decide the various  control parameter which was required in their flow control method. In experimental  approach for fluid mechanics, the parameter study requires much cost and time. Is  the efficient method for flow control the repeating of Trial and Error learning  approach? The experimental design method is one of the solution for efficient  flow control research. It is important to realize the inherent flow structure  in your experimental setup for a key of success in flow control research. It is  discussed here how to find affordable flow control method and its parameter  effectively.
      Key  words
          Flow  control, Experimental Fluid Dynamics, Experimental design method
          Figures
      
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Last Update:2.22.2019