2019
DOI: 10.1007/s12650-019-00604-2
|View full text |Cite
|
Sign up to set email alerts
|

On the aerodynamic flow around a cyclist model at the hoods position

Abstract: Aerodynamic flow around an 1/5 scale cyclist model was studied experimentally and numerically. First, measurements of drag force were performed for the model in a low-speed wind tunnel at Reynolds numbers from 5:5 Â 10 4 to 1:8 Â 10 5. Meanwhile, numerical computation using a large eddy simulation method was performed at three Reynolds numbers of 1:1 Â 10 4 , 6:5 Â 10 4 and 1:5 Â 10 5 to obtain the drag coefficients for comparison. Second, flow visualization was made in a water channel and the wind tunnel ment… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(8 citation statements)
references
References 26 publications
0
6
0
Order By: Relevance
“…This appearance is associated with two large-scale counter-rotating vortical flows induced by flow separation from the shoulders and the upper body, subsequently re-attached at the center of the back surface. For reference, a numerical plot of the streamline distribution in Figure 10(b) (Miau et al, 2020) for a cyclist model at the hoods position illustrates the formation of the vortical flows over the back surface. This flow characteristic was also mentioned in Crouch et al (2014) and Crouch et al (2017) for models at different postures.…”
Section: Results Of the Water-channel Experimentsmentioning
confidence: 99%
See 2 more Smart Citations
“…This appearance is associated with two large-scale counter-rotating vortical flows induced by flow separation from the shoulders and the upper body, subsequently re-attached at the center of the back surface. For reference, a numerical plot of the streamline distribution in Figure 10(b) (Miau et al, 2020) for a cyclist model at the hoods position illustrates the formation of the vortical flows over the back surface. This flow characteristic was also mentioned in Crouch et al (2014) and Crouch et al (2017) for models at different postures.…”
Section: Results Of the Water-channel Experimentsmentioning
confidence: 99%
“…From the perspectives of fluid dynamics, a cyclist can be regarded as a three-dimensional bluff body, from which flow gets separated and developed into a wake region downstream (Crouch et al, 2014(Crouch et al, , 2016a(Crouch et al, , 2016b(Crouch et al, , 2017Miau et al, 2020). According to a flow visualization experiment made in a water channel with a 1/5 scale cyclist model, Miau et al (2020) pointed out that the limiting streamline pattern (Lighthill, 1963) on the surface provided valuable information concerning the development of three-dimensional flow separation from the model. Miau et al (2020) further commented that delaying the flow separation would lead to reduction of the aerodynamic drag and suppression of the wake region behind the cyclist model.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In track sports where an average speed of approximately 60 km/h and a maximum speed of over 70 km/h exist, development of aerodynamically superior clothing is a crucial factor to convert the energy into propulsion efficiently. For this reason, the airflow around cyclists and the slipstream have been analyzed, in detail, in previous studies [6][7][8][9][10], while others have focused on methods to evaluate the air resistance acting on bicycles [11]. Lately, researchers have investigated the airflow to the wheels using computational fluid dynamics (CFD) [12], while others have focused on the effect of the posture of a cyclist on the drag and airflow [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, some researchers have been using different mannequins to assess drag force [20]. Thus, single mannequin to perform the numerical simulations allow to compare edited mannequins/models [20][21][22][23]. Upon that, data about energy cost may help coaches, cyclists and sports analysts to control cyclist's performance [15].…”
Section: Introductionmentioning
confidence: 99%