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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-78
Number of pages7
ISBN (Electronic)9780738142623
DOIs
Publication statusPublished - 2020 Dec
Event1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020 - Taipei, Taiwan
Duration: 2020 Dec 32020 Dec 5

Publication series

NameProceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020

Conference

Conference1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020
CountryTaiwan
CityTaipei
Period20-12-0320-12-05

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Aerospace Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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