@inproceedings{a735a8d2e12a4f53a8a7d12ce52ccebf,
title = "Wind Tunnel Data Analysis and Drag Reduction Study of Cyclists",
abstract = "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. ",
author = "Chen, {Jia Jun} and Miau, {Jiun Jih} and Chen, {Yng Ru} and Yuan, {Wei Chien} and Jan, {Shau Shiun} and Chen, {Chia Hsing} and Ku, {Te Hsing} and Hsu, {Xiao Yong} and Ciou, {Yu Sian} and Yun Chen and Chen, {Yi Jane}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020 ; Conference date: 03-12-2020 Through 05-12-2020",
year = "2020",
month = dec,
doi = "10.1109/ICPAI51961.2020.00021",
language = "English",
series = "Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "72--78",
booktitle = "Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020",
address = "United States",
}