(Last updated : 2025-07-16 10:39:02)
  Yano Taishi
   Kanagawa University  Faculty of Engineering Department of Mechanical Engineering
   Assistant Professor
■ Present specialized field
Thermal engineering, Fluid engineering (Key Word:Marangoni convection, Thermocapillary convection, Flow visualization, Microgravity science, Deep learning) 
■ Book and Papers
1. Papers Pattern selection for convective flow in a liquid bridge subjected to remote thermal action  (Collaboration)  2022/09
2. Papers Internal flow structure and dynamic free-surface deformation of oscillatory thermocapillary convection in a high-Prandtl-number liquid bridge  (Collaboration)  2022/05
3. Papers Motion analysis of a power unit moored with a cable for tidal power generation (2D calculation considering fluid forces acting on the unit and cable)  (Collaboration)  2022/05
4. Papers Coherent structures of m = 1 by low-Stokes-number particles suspended in a half-zone liquid bridge of high aspect ratio: Microgravity and terrestrial experiments  (Collaboration)  2022/01
5. Papers Numerical study on the effects of convective and radiative heat transfer on thermocapillary convection in a high-Prandtl-number liquid bridge in weightlessness  (Collaboration)  2020/07
All display(18)
■ Academic conference presentation
1. 2025/06/28 PIV/PTV measurements of thermocapillary flow in a liquid layer using fluorescent tracer particles excited with ultraviolet light (16th International Symposium on Particle Image Velocimetry (ISPIV2025))
2. 2025/06/22 Tomographic reconstruction of tracer particles in a cylindrical liquid bridge using a non-cuboidal voxel system (21st International Symposium on Flow Visualization (ISFV21))
3. 2025/06/12 Tomographic reconstruction of m = 1 PAS in a thermocapillary liquid bridge formed in space experiment (12th Conference of the International Marangoni Association (IMA12))
4. 2024/09/10 Surface velocity measurement of Marangoni convection in a liquid bridge using photochromic dye activation method-reanalysis of data from space experiment by deep learning (in Japanese) (36th Conference of the Japan Society of Microgravity Application (JASMAC-36))
5. 2024/07/20 Improvement of PTV performance with deep learning using convolution neural network (in Japanese) (52nd Visualization Symposium Japan)
All display(19)
■ Research topic, funded research, and department laboratory expense
1. 2023/04~  Improvement of PTV with deep learning-Measurement and control of Marangoni convection  (Key Word : PTV, deep learning, Marangoni convection, liquid-gas interface, tracer particle)
■ Department laboratory expense researcher number
  50768679
■ Teaching Experiences
1. Experiments for Mechanical Engineering(Kanagawa University)
2. First Year Seminar(Kanagawa University)
3. Mechanical Design(Kanagawa University)
4. Mechanical Engineering Practice(Kanagawa University)
5. Mechatronic Design(Kanagawa University)