Computational Analysis of Aerodynamics Characteristics of High-Speed Moving Vehicle

Author(s):  
Pawan Singh ◽  
Vibhanshu Chhettri ◽  
Nitin Kumar Gupta
2020 ◽  
Vol 117 (10) ◽  
pp. 5210-5216 ◽  
Author(s):  
Yue Zhang ◽  
Mengtian Yin ◽  
Yongmin Baek ◽  
Kyusang Lee ◽  
Giovanni Zangari ◽  
...  

Existing transfer technologies in the construction of film-based electronics and devices are deeply established in the framework of native solid substrates. Here, we report a capillary approach that enables a fast, robust, and reliable transfer of soft films from liquid in a defect-free manner. This capillary transfer is underpinned by the transfer front of dynamic contact among receiver substrate, liquid, and film, and can be well controlled by a selectable motion direction of receiver substrates at a high speed. We demonstrate in extensive experiments, together with theoretical models and computational analysis, the robust capabilities of the capillary transfer using a versatile set of soft films with a broad material diversity of both film and liquid, surface-wetting properties, and complex geometric patterns of soft films onto various solid substrates in a deterministic manner.


2012 ◽  
Vol 452-453 ◽  
pp. 1200-1204
Author(s):  
Atsuhiko Shintani ◽  
Tomohiro Ito ◽  
Yudai Iwasaki

The stability of the high-speed running vehicle subjected to seismic excitations considering passengers' dynamics are considered. A vehicle consists of one body, two trucks and four wheel sets. A passenger is modeled by simple two degree of freedom vibration system. The equations of motion of the vehicle and passengers are calculated by Lagrangian equation of motion. Combining two models, the behavior of the vehicle subjected to actual seismic input considering passengers' dynamics are calculated by numerical simulation. The stability of the vehicle is evaluated by using the risk rate of rollover. We investigate the possibility of the rollover of the vehicle. We focus on the effect of the dynamic characteristics of the human and the number of the passengers when the vehicle is subjected to the seismic excitation.


2004 ◽  
Vol 2004.14 (0) ◽  
pp. 96-99
Author(s):  
Daisuke MUTO ◽  
Katsutoshi HORIHATA ◽  
Kazuhiro MAKINO ◽  
Masahiko HORIUCHI ◽  
Katsufumi HASHIMOTO ◽  
...  

2010 ◽  
Vol 2010.85 (0) ◽  
pp. _7-11_
Author(s):  
Yudai IWASAKI ◽  
Atsuhiko SHINTANI ◽  
Tomohiro ITO

2014 ◽  
Vol 2014 (0) ◽  
pp. _G1010401--_G1010401-
Author(s):  
Atsuhiko SHINTANI ◽  
Yuto FUJII ◽  
Tomohiro ITO ◽  
Chihiro NAKAGAWA

Animals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1140
Author(s):  
Stephane Bleuer-Elsner ◽  
Anna Zamansky ◽  
Asaf Fux ◽  
Dmitry Kaplun ◽  
Sergey Romanov ◽  
...  

Computational approaches were called for to address the challenges of more objective behavior assessment which would be less reliant on owner reports. This study aims to use computational analysis for investigating a hypothesis that dogs with ADHD-like (attention deficit hyperactivity disorder) behavior exhibit characteristic movement patterns directly observable during veterinary consultation. Behavioral consultations of 12 dogs medically treated due to ADHD-like behavior were recorded, as well as of a control group of 12 dogs with no reported behavioral problems. Computational analysis with a self-developed tool based on computer vision and machine learning was performed, analyzing 12 movement parameters that can be extracted from automatic dog tracking data. Significant differences in seven movement parameters were found, which led to the identification of three dimensions of movement patterns which may be instrumental for more objective assessment of ADHD-like behavior by clinicians, while being directly observable during consultation. These include (i) high speed, (ii) large coverage of space, and (iii) constant re-orientation in space. Computational tools used on video data collected during consultation have the potential to support quantifiable assessment of ADHD-like behavior informed by the identified dimensions.


2013 ◽  
Vol 2013 (0) ◽  
pp. _G011013-1-_G011013-5
Author(s):  
Yuto FUJII ◽  
Atsuhiko SHINTANI ◽  
Tomohiro ITO ◽  
Chihiro NAKAGAWA

Sign in / Sign up

Export Citation Format

Share Document