Wind Tunnel Data Analysis and Drag Reduction Study of Cyclists

Jia Jun Chen, Jiun Jih Miau, Yng Ru Chen, Wei Chien Yuan, Shau Shiun Jan, Chia Hsing Chen, Te Hsing Ku, Xiao Yong Hsu, Yu Sian Ciou, Yun Chen, Yi Jane Chen

研究成果: Conference contribution

摘要

When wind flows over a human body, it may cause flow separation on the body surface and a wake region is formed behind the body. The main source of drag is the difference between the pressure before and after the body and it is called the pressure drag. The aim of this study is to achieve drag reduction by changing the surface roughness of the fullscale cyclist model in dropped position. Different roughness patterns that were placed on a full-scale cyclist model and cycling jerseys were tested in wind tunnel experiment to realize the impact on drag reduction. Comparing the Cd values of the reference case without roughness patterns and a number of cycling jerseys under the same Reynolds number shows that the best drag reduction of about 7.5% in the cycling jersey experiment. This finding evidences the drag crisis occurred in the case of the cyclist model with jerseys.

原文English
主出版物標題Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面72-78
頁數7
ISBN(電子)9781665404839
DOIs
出版狀態Published - 2020 12月
事件1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020 - Taipei, Taiwan
持續時間: 2020 12月 32020 12月 5

出版系列

名字Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020

Conference

Conference1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020
國家/地區Taiwan
城市Taipei
期間20-12-0320-12-05

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦科學應用
  • 決策科學(雜項)
  • 航空工程
  • 工業與製造工程
  • 控制和優化

指紋

深入研究「Wind Tunnel Data Analysis and Drag Reduction Study of Cyclists」主題。共同形成了獨特的指紋。

引用此